Optimization of Periodic Review Inventory Model with Emergency order in Two-Echelon Supply Chain using Differential Evolution
|
|
- Rosa Young
- 8 years ago
- Views:
Transcription
1 Opimizaion of Piodi Rviw Invnoy Modl Innaional Jounal of Compuaional Sin (Pin) (Onlin) Global Infomaion Publish 7, Vol., No., Opimizaion of Piodi Rviw Invnoy Modl wih Emgny od in wo-ehlon Supply Chain using Dfnial Evoluion Paswaana Kani * and Shimizu Yoshiaki Dpamn of Poduion Sysms Engining, oyohashi Univsiy of hnology, oyohashi , Japan {kani, shimizu}@s.ps.u.a.jp Absa. his pap sudis h invnoy modl wih a gula and an mgny supply mod in a wo-lvl supply hain sysm. Rgula mod is usd fo nomal plnishmns whil h mgny mod is usd fo fas dlivy bu subjd o high os. his sysm is opad und unainy in boh dmand and gula lad ims wh im lag bwn gula and mgny lad im is no sid o on piod. W popos h modls fo aquiing h mgny od: ) manufau modl : pla boh gula and mgny od o h manufau; ) ousouing modl : pla all mgny od o an ousouing ompany o an xnal mmb in h hain; 3) pioiy modl : giv pioiy o mak h mgny od o h manufau fis bu h manufau ould no supply, hn pla h od o h ousouing ompany. W dmin h maximum pofi of h supply hain by using dfnial voluion (DE). h suls show ha whn h mgny opions a availabl, h pofiabiliy of h supply hain is inasd ompad wih h gula modl. Howv ah alnaiv of mgny mod pfoms wll und dfn ondiions. Kywods: Supply hain, mgny od, dfnial voluion, invnoy onol. Inoduion Und unainy in usom dmand, invnoy sysms wih wo supply mods, whih a a gula and an mgny mod, bom inasingly ommon in pai. his is h as whn a * Cosponding Auho. l.& Fax: , kani@s.ps.u.a.jp. GLOBAL INFORMAION PUBLISHER 69
2 Innaional Jounal of Compuaional Sin gula supply mod is usd piodially fo sok plnishmn, whil a sonday mod o mgny mod is ypially uilizd whn a sok ou is likly o ou a h ail. Low volums, sho lad ims and high aquisiion os p uni, haaiz mgny ods. h high os is usually a onsqun of h inasd anspoaion os []. h main anion of plaing mgny ods is o du h dlay in ming h dmand und h bakodd modl o o du amoun of los sals in full-los modl. h invnoy modl posd by h availabiliy of wo supply mods has bn sudid sin 96s. Baanki [] sudid a singl-piod of piodi viw invnoy sysm wih fixd gula lad im of on and immdialy mgny plnishmn. Bulinskaya [3], Fukuda [4] and Vino [5] xndd h singl-piod analysis o h n-piod as und h assumpion ha supply lad ims a a mulipl of a viw piod and h dfn of gula and mgny lad-im is always qual o on piod. hn Chiang and Guiz [6] fis sudid a piodi invnoy sysm wih long viw piod (many viw piods in on yl) by assuming ha h lad-im is sho han h viw piod. hy invsigad h as in whih mgny ods of a piodi viw und od-up-o-r poliy and allowd h plamn ih of a gula od o an mgny od (no boh). Chiang [7] xndd his pvious wok by allowing possibl gula and mgny od a piodi viw poh and xndd h pvious wok o mo gnal ass wh lag vaiabl os and/o fixd od oss w inud. A un sah of mgny mod of Bylka [8] psnd a piodi viw apaiad lo sizing modl wih limid paial baklogging a sok ous modl. h minimum os is obaind by onsiding h sysm as a dis-im Makov dision poss. Howv, his poblm sill si o h assumpion of and lad-im of gula and mgny mod, spivly. Ou wok dfs fom hos liaus in wo folds. Fisly, in all ali sahs of an mgny mod was limid o a singl-hlon invnoy sysm (a singl ompany) and all mgny od was assumd o b saisfid wihou onsiding h poduiviy and pfoman of h mgny supply mod. hfo, his pap inodus h alnaivs of mgny supply mods o h supply hain sysm and valuas h bnfi basd on h pfoman of h whol sysm. Sondly, o mak h modl mo sophisiad, boh gula and mgny lad ims a allowd o b abiay lnghs (h dfn of gula and mgny lad im is no sid o on piod) and h invnoy sysms a opad und boh dmand and gula lad-im vaiaions. Hn, h modl is fd o h mixd-ing nonlina pogamming (MINLP) poblm blonging o NP-had lass in soluion, whih is vy omplx and dfiul o solv in gnal. Hn, w sl a dfnial voluion (DE), whih is a kind of voluional sah mhods and known as a paial and ffiv mhod o solv suh poblms (s [9] and []). h s of h pap is oganizd as follows. h dsipion and fomulaion of h modls a givn in sion. In sion 3, h onp and algoihm of DE is psnd. hn h numial xampl, ompuaional suls and onlusions a psnd in sion 4, 5 and 6 spivly. 7 GLOBAL INFORMAION PUBLISHER
3 Opimizaion of Piodi Rviw Invnoy Modl Mhodology Fomulaion In his sion, w sudy a piodi viw modl of a mak-o-sok in a wo-lvl supply hain sysm ha onsiss of a singl manufau and a singl ail. As a basi oopaion of all mmbs along h supply hain, w assum ha h is full infomaion shaing in h sysm. W xamin h alnaivs fo mgny od: ) manufau modl : pla boh gula and mgny od o h manufau; ) ousouing modl : pla an mgny od o h ousouing ompany o xnal mmb in h hain; 3) pioiy modl : giv h pioiy of plaing an mgny o h manufau fis, bu h manufau ould no supply, hn pla an mgny od o h ousou. Fo manufau and pioiy modls, h manufau is allowd o supply mgny od only whn h manufau sill an supply h gula od a las 9% svi lvl. hn w valua h bnfi of ah mgny modl by ompaing h pofiabiliy wih gula modl (no mgny mod). hn h appopia ondiion fo using ah alnaiv modl is dmind. W shall xplain h fomulaions of gula and mgny modls in h following subsions.. Rgula Modl h following noaions will b usd in h gula modl. = Piod indx in (,,, ) p = Duaion of ah piod FD = Foas dmand a h manufau D = Cusom dmand a h ail lm = Man dlivy lad-im of aw maial lm = Ral dlivy lad-im of aw maial l = Man dlivy lad-im of podu l = Ral dlivy lad-im of podu p = Poduion a p day a h manufau Bs = Bginning aw maials on hand a h manufau s = Amoun of aw maials on hand bfo iving a nw plnishmn Es = Ending aw maial on hand a h manufau Bm = Bginning invnoy on hand of podu a h manufau (xluding safy sok) Em = Ending invnoy on hand of podu a h manufau (xluding safy sok) B = Bginning invnoy on hand of podus a h ail. E = Ending invnoy on hand of podu a h ail Bss = Bginning safy sok on hand a h manufau Ess = Ending safy sok on hand a h manufau Qm = Oding quaniy of aw maial Qp = Poduion quaniy of podu bfo iving h nw plnishmn o duing [, + lm ) Qp = oal poduion quaniy of podu in on piod o duing [, + p ) Q = Oding quaniy of podu GLOBAL INFORMAION PUBLISHER 7
4 Innaional Jounal of Compuaional Sin Qsm = Sals volum of gula od a h manufau Qs = Sals volum of h ail S = oal quaniy of shoag a h ail. f = Quaniy o fill h us of safy sok a piod = Uni puhasing os of podu fom gula od a h ail m = Uni puhasing os of aw maial a h manufau a = Uni adminisaion os of podu a h ail h = Uni holding os of aw maial a h manufau ha will b alulad fom h % of uni puhasing of aw maial m o ( m h )/ hm = Uni holding os of podu a h manufau ha will b alulad fom h m % of uni puhasing of aw maial m and uni poduion os p o (( m + p ) h m )/ h = Uni holding os of podu a h ail ha will b alulad fom h % of uni puhasing of podu and adminisaion os a o ( + a ) h ))/ = Uni anspoaion os of podu fom h gula od a h manufau p = Uni poduion os a h manufau s = Uni oppouniy los os o shoag os a h ail i = Sals pi p uni of podu a h ail Dision Vaiabl of gula modl ss = Safy sok lvl a h manufau S = Dis lo sizing a h manufau R = ag sok lvl a h ail.. Manufau h invnoy lvls of boh manufau and ail a viwd a vy im inval ov oally piods planning hoizons ( =,,, ) in ah yl. Foas dmand, nd usom dmand, dlivy lad im of aw maial fom h suppli o h manufau and dlivy lad im of podu fom h manufau o h ail a ah piod a appoximad by nomal disibuion. A h bginning of ah piod, h manufau ods aw maial o h suppli, who has unlimid apaiy, hn podus a singl kind of podu wih a fixd poduion a p day and supply hs podus o h ail. Du o unainis in boh nd usom dmand and lad-im of aw maial, h manufau has o hold h appopia amoun of safy sok ( ss ) and also did h lo sizing poliy o od aw maial ( S ). h safy sok will b usd only whn a nomal invnoy lvl anno saisfy h ail dmand and i mus b filld as soon as possibl af having usd. Rgading o S, h a 6 piod planning hoizons, h a 3 possibl oding poliis fo h manufau o sl. Fo xampl, h fis poliy may follow lo-fo-lo poliy o mak an od in vy piod, h sond possibl poliy may ombin od of piod and hn us lo-fo-lo fo h s fou piods and so on. Af h manufau has sld h bs pan of S, h amoun of invnoy on hand a 7 GLOBAL INFORMAION PUBLISHER
5 Opimizaion of Piodi Rviw Invnoy Modl h bginning of h piod will b hkd. If h amoun on hand is lss han h sum of h foasd dmand and h amoun o fill bak h safy sok ha usd in h pvious piod, h manufau will mak an od. Ohwis, no od will b issud as shown in Equaion (). { FD + f B Bs, } Qm = max () L assum ha w always sa viwing h invnoy a im. hn h manufau an sa poduing h podus a h lad-im ona + lm. Whn la dlivy is oud ( lm > lm ), h manufau sill an sa h poduion a im + lm h bginning aw maial on hand Bs is availabl. Ohwis, h manufau has o wai unil i ivs aw maial fom h suppli a im + lm. h poduion quaniy duing la-im dlivy ( Qp ) and h amoun of aw maial on hand bfo iving a nw plnishmn ( s ) an b alulad by using Equaions () and (3). Consqunly, w an dmin h oal poduion quaniy ( Qp ) and h nding aw maial on hand ( Es ) as shown in Equaions (4) and (5), spivly. Qp ( lm lm ) p = Bs lm > lm and Bs lm > lm and Bs lm lm > ( lm lm ) p ( lm lm ) p () s Bs ( lm lm ) p = Bs Qp + (( p lm ) p) Qp + s + Qm Qp = ( p lm ) p Qm lm > lm and Bs lm > lm and Bs lm lm Bs and Qm Bs and Qm > ( lm lm ) p ( lm lm ) p Bs > and ( s + Qm ) > ( p lm ) p Bs > and ( s + Qm ) ( p lm ) p > ( p lm ) p ( p lm ) p (3) (4) ( s + Qm ) (( p lm ) p) Bs > and s + Qm > ( p lm ) p Es = ( p lm ) p Bs and Qm > ( p lm ) p ohwis By oding aw maial in a big bah, h manufau nomally has h bginning aw maial on hand. Hn h manufau may b abl o podu h podus mo han lo-fo-lo as. Evnually, his suls in high apabiliy o supply ail s dmand bu i may inu high holding os. Ending invnoy lvl ( Em ) is h amoun of finishd podus ha xds h ail s dmand and lfs fom fulfill h us of safy sok fom h pvious piod. Ohwis, no invnoy on hand of h podu a h nd of piod. Em an b alulad as follows: (5) GLOBAL INFORMAION PUBLISHER 73
6 Innaional Jounal of Compuaional Sin Qp + Bm Q Qp + Bm Q ss+ Bss Em = Q < ( Qp and ( Qp ohwis Q < ( Qp + Bm + Bm ) and Bss + Bm ) and Bss ss < ss - Q ) > (ss Bss ) (6).. Rail h ail maks a gula od o h manufau piodially. h gula od quaniy ( Q ) is dmind by ompaing h nding sok lvl ( E ) a h viw im wih h dsid ag sok lvl R, whih is qual o R E. Du o som fluuaion in h sysm, h manufau may fail o supply all quimns o h ail ( Qsm < Q ). Sin w aim a maximizing h pofi of h supply hain ha onsidd manufau and ail as on niy, h shoag os paid by h manufau o h ail is ngld in his modl and only h oppouniy los os is hagd a h ail fo ah uni unsaisfid nd usom dmand. As mniond abov, h ail and h manufau should saisfy a las 9% svi lvl ( β, βm 9%). In h oh wods, h sok ou ould no xd % of h od quaniy a boh mmbs. hs onsains should b aid ou in all modls. his sah onsids h sok ou a h ail as h shoags (full los) aoding o wo asons. Fis, in oday high ompiiv mak, h usoms hav a plny of hois o aqui h podus, spially whn viwing h ail as dpamn sos, supmaks o onvnional sos. Consqunly, h siuaion ha h usoms buy h sam podu fom h sond shop h is h sok ou a h fis shop is qui ommon in h al wold businss. Sond, non of h liaus assoiad wih h mgny od analyzd h unsaisfid dmand as a full-los modl. Fom h abov analysis, w an dsib h pofi of h supply hain Πs ha onsiss of pofis of h manufau Π and h ail Π. m Π m = = Qsm = m Qm = = h Es p Qp = = hm ( Em Qsm + Ess ) (7) Π = = Qs i = Qsm = h E = a Qs = s S (8) 74 GLOBAL INFORMAION PUBLISHER
7 Opimizaion of Piodi Rviw Invnoy Modl. Emgny Modl In addiion o h opaion and os paams dfind in gula modl, addiional paams fo mgny modls f o h following noaions. D = Cusom dmand duing h mgny lad im [, + l ) D = Cusom dmand duing h upoming im inval [, + l ) o h dmand duing h gula lad im D = Cusom dmand duing h upoming im inval [ + l, + l ) o h dmand duing h im inval bwn wo supply mods, so D = D D. D3 = Cusom dmand duing h upoming im inval [ + l, + p ) o h dmand ha ous af iv h gula plnishmn unil h nd of viw piod l = Emgny lad im I = Sok on hand lvl of podus a h ail bfo iving mgny plnishmn o a h nd of upoming im [, + l ) I = Sok on hand lvl of podus a h ail bfo iving gula plnishmn o a h nd of upoming im [, + l ) I = Invnoy on hand lvl of podus a h ail af iving h gula od S = Quaniy of shoag a h ail bfo iving mgny plnishmn o duing h upoming im [, + l ) S = Quaniy of shoag a h ail bfo iving gula plnishmn o duing h upoming im [, + l ) Qm = Sals volum of mgny od a h manufau. Qo = Emgny oding quaniy fom h ousouing ompany. = Uni puhasing os of podu fom mgny od a h ail = Uni anspoaion os of podu fom h mgny modl Addiional Dision Vaiabl fo mgny modl = Rod poin a h ail Nomally, h ail maks a gula od o h manufau piodially. Howv, und mgny modls, h invnoy lvl is low han h od poin, h mgny od is plad. Boh gula and mgny ods a viwd and plad a h viw im. h gula od quaniy is h amoun of podus ha ais h invnoy up o R lvl, whih is qual o R. h mgny od quaniy is dmind by ompaing h nding sok lvl a h viw im wih h dsid od poin, whih is qual o E as shown in Figu. h mgny od is haaizd by a sho ( l < l ) and fixd lad-im, and no shoag bu hag high uni puhasing os ( > ). H, w allow h gula and mgny o hav abiay lngh, and no si o h assumpion of on piod dfn bwn gula and mgny lad-im. Fo boh gula and mgny od, no fixd oding oss a onsidd. h a invnoy holding oss and shoag oss ha a hagd basd on h n invnoy a h nd of ah yl. Uni holding os a h ail dpnds on whh h mgny is oud o no, so i an b alulad as follows: GLOBAL INFORMAION PUBLISHER 75
8 Innaional Jounal of Compuaional Sin h ( Q + ( Qm + Qo ) ( Q + Qm + Qo ) = h ( + a ) a ) + a h Qm + Qo ohwis > (9) Invnoy lvl (unis) R R - E - E im (piod) +l +l +p +p+l +p+p Fig.. Invnoy sysm of h ail und an mgny od poliy Sin w onsid sok ou as los, oppouniy los os is hagd fo ah uni unsaisfid h nd usom dmand. In od o dmin h nding invnoy lvl ( E ) and oal sok ou quaniy a h ail ( Qs ), w hav o do h alulaion basd on wo disjoin im invals, whih a bfo iving gula plnishmn [, + l ) and af iving gula plnishmn [ + l, + p ). Duing [, + l ), mgny od is plad ( Q > ), i s nssay o dmin invnoy lvl ( I ) and sok ou quaniy ( S ) bfo iv an mgny plnishmn. hn w an us hs wo valus o alula invnoy lvl ( I ) and sok ou quaniy ( S ) bfo iving a gula plnishmn as shown blow. { B D } I = max, () { D B } S = max, () B D Q and B > D I = ( I + Q ) D Q > and ( I + Q ) > D () ohwis 76 GLOBAL INFORMAION PUBLISHER
9 Opimizaion of Piodi Rviw Invnoy Modl Q and B > D D B Q and B D S = (3) S Q > and ( I + Q ) > D D ( I + Q ) + S Q > and ( I + Q ) D Duing [ + l, + p ) o af iving h plnishmn fom gula mod, h invnoy lvl a h ail aiss o I lvl, whih is qual o I + Q. hn h nding invnoy lvl ( E ) and oal sok ou quaniy a h ail S an b alulad as follow: { I D3 } E = max, (4) { D3 I } S = S + max, (5) his pap offs h alnaiv opions o aqui h mgny od, whih a manufau, ousouing and pioiy modls. h dail of ah modl is dsibd as follows:.. Manufau Modl In his modl, h ail puhass boh gula and mgny od fom h manufau und h onsains ha h manufau has o supply all mgny od wih fas and fixd lad im ( l ) and also quis o supply h gula od a las 9% of h oding quaniy. h manufau an g high vnu fom slling mgny od, bu in od o aiva fas and fixd lad im, spial anspoaion os ( ) is hagd fo ah uni in mgny od. Fom h abov analysis, w obain a nw fomula fo h manufau s pofi and ail s pofi as follows: Π m = Π = = Qsm = = = hm ( Em Qsm Qs i = + = + Ess ) Qsm Qm = = h = Qm = E pm = Qm h Qm = Es s = = S a p Qs Qp (6) (7).. Ousouing Modl Und unainis of h sysm, h mgny od is oud igulaly wih unpdiabl quaniy. hfo, i may b mo osly fo h manufau o hold high invnoy o supply GLOBAL INFORMAION PUBLISHER 77
10 Innaional Jounal of Compuaional Sin boh gula and mgny by islf. So in ousouing modl, w assum ha h ail will mak h gula od o h manufau whil making an od of mgny o h ousouing ompany. No ha w onsid ousouing ompany as h xnal mmb, so h pfoman and finanial saus of his ompany is no inludd in h modl. h pofi of h manufau an b alulad in h sam way as h gula modl whil pofi of h ail an b alulad in h sam way as h manufau modl...3 Pioiy Modl Evn hough mgny od an absob h poblm of shoag du o h fluuaion of dmand and lad ims, puhasing all mgny quaniy fom h xnal mmb (ousouing ompany) may sul in h duion of manufau s vnu ha lads o h duion of supply hain s pofi. On h opposi way, all mgny od is ddiad o h manufau, i also may no b an onomial poliy sin h mgny od is unpdiabl. hfo, und pioiy modl, h ail givs h pioiy of plaing h mgny od o h manufau fis, bu h manufau ould no supply hn pla an mgny od o h ousouing ompany. h manufau is allowd o supply mgny od only whn h manufau an sill mainains 9% svi lvl of gula od ( β m 9%). h xpnss o aqui h mgny od fom boh manufau and ousouing ompany a s a h sam valu. h pofi of h manufau an b alulad in h sam way as h manufau modl whil pofi of h ail an b alulad as follows: Π = i = Qs = Qsm h = EI = s = S ( Qm + Qo ) a = Qs (8) 3 Dfnial Evoluion Whn boh dmand and lad-im a unain, and boh gula and mgny lad-im an hav abiay lnghs, dmining global opimal soluion nds xnsiv ompuaional load. I is oo omplx and im onsuming o wok wih i by using onvnional opimizaion mhods. Insad, dfnial voluion (DE) is poposd o ompu h soluions and valua h pfoman of h sysms. DE is a sohasi di sah wih vo populaion ha has abiliy o handl non-dfniabl, non-lina, NP-had and mulimodal os funion. DE us slfoganizing shm o ak h dfn vo of wo o mo vos o a h muan vos. 78 GLOBAL INFORMAION PUBLISHER
11 Opimizaion of Piodi Rviw Invnoy Modl So ha a fw inpu is quid fom h us and i ass o implmn DE o solv h poblms. h basi sps of implmning DE a xplaind as follows: 3. Suu and oding Dision vaiabls und gula modl onsis of oding poliy of aw maial (S), safy sok lvl of podu ( ss ) and ag sok lvl of podu (R). hn, od poin () is add o b h foh dision vaiabl und mgny modl. Fo S, h manufau has o did whh o mak h od a h bginning of vy piod o ombin h od in a big bah. hfo, h binay oding is sld o psn h valu of S. On h oh hand, ss, R and a onsidd as h amoun of podus (unis) a h manufau and h ail, so h ing oding is sld o psn hs h valus. 3. Low and upp bound In od o gna iniial populaion, low and upp bound of ah dision vaiabl should b s as follows: Fo S: As mniond abov, h manufau has o did whh o ombin h od o no. So S is psnd by binay oding wh mans h od is mad and mans h od is ombind wih h pvious piod. Sin h manufau always maks h od a h fis piod, h numb of bi quimn is qual o planning hoizon minus. Fo xampl, wih 6 piods planning hoizons, i quis 5 bis o psn h soluion, mans lo-fo-lo poliy is usd fo piod, and 3, hn h od is ombind fom piod 4 o 6 and h od is plad a piod 4. Fo ss, and R: hs dision vaiabls india safy sok lvl and invnoy lvl, so hs vaiabls a psnd by ing oding. L D, FD, σ D, σ FD a h man and sandad dviaion of h nd usom dmand and foas dmand, lm, l, σ lm and σ l a h man and sandad dviaion of h dlivy lad im of aw maial and podu, z is h numb of sandad dviaions fom h man osponding o pobabiliy spid by h svi lvl. - Low bound of ss is s o o no invnoy is kp a h manufau. - Upp bound of ss is alulad by h using Equaion (9). In od o ovom h onsain of 9% svi lvl and o mak su ha all sahing spa is boundd, upp bound of ss, and R s o ov 99.99% svi lvl (lags spa) whih is osponding o z = 4. (s [] fo fuh infomaion). z ( lm σ FD) + ( FD σ lm) (9) GLOBAL INFORMAION PUBLISHER 79
12 Innaional Jounal of Compuaional Sin - Low bound of is s o o no mgny od is quid. Upp bound of is h amoun o avoid sok ou duing lad im dmand z ( l σ D ) + ( D σ l ) () - Low bound of R should b a las o qual o h xpd dmand duing h viw im plus dlivy lad im ona, whih is qual o D ( p + l). - Upp bound of R an b dmin in h sam way as [], whih is qual o: D ( p+ l) + z ( l σ D) + ( D σl) () 3.3 Algoihm of DE his sah uss DE/and//bin sagy o solv h poblm. Noaion and/ mans on dfn s of vo ( vos) is andomly hosn among h populaions o b muad. hn, bin mans h indpndn binomial xpimn is usd fo ossov shm. Basi algoihm of DE/and//bin onsiss of following sps:. Randomly gna h iniial populaion o yild h ag vo x G ( i, M ) i, =,... () Wh M and G psn populaion siz and gnaion, spivly. Exampl of h iniial populaion of ag vo is shown in Figu. i = i =... i = M j = Binay Coding fo oding poliy : Od is plad : Od is no plad (ombin od wih fom piods) j = n Ing Coding fo safy sok lvl Ing Coding fo ag sok lvl Ing Coding fo od poin Fig.. Illusaion of iniial populaion. Gna muan vo by adding h wighd dfn bwn wo ag vos o h hid ag vo. (hs h vos a hosn andomly among h populaion) ( x x ) vi,g = x3,g + F,G,G + (3) 8 GLOBAL INFORMAION PUBLISHER
13 Opimizaion of Piodi Rviw Invnoy Modl Wh F is a al and onsan fao [, ] whih onols h ampliaion of h dfnial vaiaion ( x, G x, G ). Oiginal DE algoihm is only apabl o solv h poblm wih oninuous vaiabl, so v i,g+ a gnad in m of h al numb. In od o handl h binay and ing vaiabls, w us ounding off hniqu o onv v i,g+ bak o binay and ing valus. Fo xampl, h fis dimal poin is ga han o qual o fiv, w ound up,.g..9 will bom. Ohwis, w ound down,.g.. will bom. Moov, by adding wighd dfn of wo vos o h hid vo, i dos no guaan ha valu of muan vos would b lying insid h sahing bounday. Bound violaion in his pap an b paid by using fo bound sagy. So, h valu of muan vo is byond h upp bound, w s i qual o h upp bound and h valu is low han h low bound, w s i qual o h low bound. 3. Apply h ossov opaion o gna h ial vo by mixing som lmns of h ag vo wih h muan vo hough ompaison bwn andom valu and ossov onsan as shown in Figu 3. u v ( and( j) CR) ( and( j) > CR) o j = nb( i) and j nb( i) (,,... ). ji, G+ ji, G+ = fo j = n x ji, G Wh and ( j) is h j h valuaion of a unom andom numb gnao, CR is h ossov onsan [, ], and nb (i) a andomly hosn indx in {,,, n} whih nsus ha ial vo gs a las on paam fom muan vo. (4) j = x i,g v i,g+ u i,g+ and()<=cr and()<=cr j = n nb(n) = j Fig. 3. Exampl of ossov poss fo n = 7 4. If h ial vo is b han h ag vo, h ial vo plas h ag vo. Ohwis, h ag vo is maind. ha will sl h mmbs of h nw populaion a h nx gnaion. 5. Chk h p-spid sopping ondiion. If i is saisfid ( G = G max ), sop and un h ovall bs vo as h final soluion. Ohwis, go bak o Sp by inmning h gnaion numb by. GLOBAL INFORMAION PUBLISHER 8
14 Innaional Jounal of Compuaional Sin 4 Numial Exampl and Rsuls h numial xampls in his pap w undakn aoding o h following poposs. - Evalua h bnfi of using mgny od modls in ompaison wih h gula modl and xamin h ff of aquiing h mgny od fom dfn sous ( manufau, ousouing and pioiy modls) und dfn ondiions (vaiaion in sandad dviaion of dmand, holding os podu and anspoaion os of mgny od a h manufau, holding os of podu and shoag os a h ail). - Implmn DE o solv a al wold poblm by dmining h appopia oding poliy and invnoy lvl of ah mmb ha maximizs h pofi of h supply hain. In onsuing h modls, som inpu paams a s as follows: End usom dmands p day of ah ail and dlivy lad-im a andomly gnad und h nomal disibuion, so D, FD = 5 p day, σ D, σ FD = 5, 5 and days, ( lm, σ lm ) = Nomal (3,), ( l, σ l ) = Nomal (3, ), l = day, p =7 days and = 6 piods. Cos paams of manufau and ail a s as follows: =$5 p uni, p m =5 p uni, h =5% of aw maial valu, hm =%, % and 4% of podu valu, =$, $, $5 and $ p uni, =$5, $35, $45 and $55 p uni, s =$, $, $3 and $4 p uni, h =5%, 3%, 45% of podu valu, i =$55 p uni, β and β m =9%. Du o h nau of poblm dpndn, ky paams ( M, CR and F ) in DE should b hosn wisly and appopialy o g fas onvgn and avoid h poblm of pmau onvgn. Aoding o ou pliminay xpimns, an appopia valu of M, CR, F and G max a s as follows: M = 5, F =.75 and CR =.5, G max is qual o 5, gnaions und gula modl and qual o, gnaions und mgny modls. Du o h sohasi nau of h poblm in his sudy, w aid ou ials wih dfn sd valus fo ah poblm. So h suls in abl,, 3 and Figu 4, 5, 6 a h avag valu of ouoms. 4. Snsiiviy Analysis Rgading Sandad Dviaion of Dmand and Uni anspoaion Cos of Emgny Od abl shows h ompuaional sul of dision vaiabls ( S, ss, and R ) of ah mgny modl and Figu 4 shows h pn impovmn of supply hain pofi gaind fom using mgny modls ( manufau modl, ousouing modl and pioiy modl ) as ompad wih h gula modl und vaious ss of sandad dviaion of dmand (σ dnos boh sandad dviaion of foas and usom dmands) and uni anspoaion os of mgny od ( ). I s la fom Figu 4 ha vy mgny modl und all opions an gna high pofi han h gula modl and mgny modls bom mo ffiv as σ inass and dass. Und σ = 5 and 5 unis p day, manufau modl oupfoms h oh modls in mos 8 GLOBAL INFORMAION PUBLISHER
15 Opimizaion of Piodi Rviw Invnoy Modl ass, xp whn is los o $/uni, as shown in Figu 4 (a) and (b). his is du o h fa ha h manufau an g high bnfi fom slling mgny od wih low. Moov, h suls of dision vaiabls und manufau modl in abl suggs ha h manufau an op wih boh gula and mgny od by making h od following lo-fo-lo poliy and hold a bi high amoun of safy sok (in ompaison wih oh mgny modls). A h sam im, ail also shown o giv h oopaion of using manufau modl by sing qui high valu of (spially und = $/uni). Howv whn inass, h manufau an g lss bnfi fom slling mgny od. As a onsqun, pn pofi impovmns of manufau and pioiy modls das unil qual o zo (no b usd) whn inass los o. hfo, i s mo bnfiial o ddia all mgny od o h ousouing ompany and s low safy sok lvl a h manufau (s abl und ousouing modl ). abl. Compaison of dision vaiabls und dfn s of sandad dviaion of dmand and uni anspoaion os of mgny od σ Manufau Modl Ousouing Modl Pioiy Modl S ss R S ss R S ss R No: h highligh aa psns h bs poliy und ah ondiion. GLOBAL INFORMAION PUBLISHER 83
16 Innaional Jounal of Compuaional Sin % Pofi impovmn Emgny anspoaion os, [$/uni] σ (b) σ = 5 () σ = (a) = Manufau modl Ousou Modl Pioiy Modl Fig. 4. Compaison of pofi impovmn wih sandad dviaion of dmand and uni anspoaion os of mgny od Und σ =, pn pofi impovmn is qui snsiiv o, so h bs alnaiv of implmning mgny modl an b dividd ino h ass as illusad in Figu 4 (). h fis as is whn is low (lss han ), as xpd, h manufau an g high bnfi fom slling mgny od und his ondiion. hfo, by making h od of aw maial in a big bah and hold high amoun of safy sok (as shown in h fis olumn of abl ), h manufau modl boms h mos pfabl alnaiv. h sond as is whn inass (bu lss han ), h bnfi fom slling mgny od of h manufau dass. his is du o h fa ha puhasing som mgny od fom ousouing mod an avoid aying oo muh amoun of safy sok a h manufau. hfo, h pioiy modl boms h mos ffiv alnaiv und his ondiion. Lasly, whn is vy high (los o ), h manufau an gain jus a fw bnfis fom slling mgny. Hn, h ousouing modl is always oupfomd h oh alnaivs in his ondiion. 4. Snsiiviy Analysis Rgading Holding Cos of Podus a h Manufau and Uni Puhasing Cos of Emgny Od abl and Figu 5 show h ompuaional sul und dfn holding os of podus a h manufau ( hm ) and uni puhasing os of mgny od ( ). I an b noid fom Figu 5 ha h pn pofi impovmn of supply hain inass as dass bu qui sady und vaiaion of hm. Whn is vy hap, i is qui aaiv and mo onomial fo ail o hold lss sok and puhas mo mgny od. In h opposi way, manufau an an low bnfi und low, so i is b o aqui h mgny od fom boh manufau and ousouing ompanis. h suls fom h hid olumn in abl wih =$5/uni suggs ha by puhasing maial in a big bah, sing high od poin wih moda amoun of safy sok and ag sok lvl, pioiy modl oupfoms h ohs alnaivs. 84 GLOBAL INFORMAION PUBLISHER
17 Opimizaion of Piodi Rviw Invnoy Modl abl. Compaison of dision vaiabls und dfn ss of holding os of podu a h manufau and uni puhasing os of mgny od Manufau Modl Ousouing Modl Pioiy Modl hm S ss R S ss R S ss R No: h highligh aa psns h bs poliy und ah ondiion. % Pofi impovmn Emgny Puhasing os [$/uni] Manufau modl Ousou Modl Pioiy Modl (a) hm = % (b) hm = % () hm = 4% Fig. 5. Compaison of pofi impovmn wih holding os of podu a h manufau and uni puhasing os of mgny od Moov, i is obviously sn fom Figu 5 ha h pn pofi impovmn of ousouing modl and pioiy modl das damaially as inass, bu slighly dass und manufau modl. his is du o h fa ha high suls in high inom a h manufau. So h manufau maks h od of aw maial in a big bah o inas poduiviy and hold high amoun of safy sok o pvn shoag (s h fis blok olumn of abl ). As a sul, h manufau modl is bom h mos pfabl und high. In h opposi way, puhasing mgny od wih high fom ousouing ompany is onsid- GLOBAL INFORMAION PUBLISHER 85
18 Innaional Jounal of Compuaional Sin d as loss of inom a h manufau ha finally lads o h loss of inom of h supply hain sysm. Consqunly, ousouing modl will nv bn usd (% pofi impovmn = ) whn is vy high (.g., a $55/uni in his sudy). 4.3 Snsiiviy Analysis of Holding Cos of Podus and Oppouniy Los Cos of h Rail abl 3 and Figu 6 show h ompuaional sul und dfn holding os of podus a h ail ( h ) and uni oppouniy los os of h ail ( s ). I an b noid fom Figu 6 ha h pn pofi impovmn of supply hain inass as holding os of podus a h ail ( h ) and uni shoag os of h ail ( s ) inas. h suls fom Figu 6 (a) and (b) illusa ha und low h (5% and 3% of podu s valu), pioiy modl is h mos advanag alnaiv. Whn h holding os is low, h ail an hold a lag amoun of invnoy of podus (s h hid blok olumn of abl 3 wih h =5% and 3% of podu s valu) and h mgny mod is no usd so ofn. Consqunly, lss pofi impovmn is oud und low h, spially whn h = 5% podu's valu, as shown in Figu 6 (a). Howv, h mgny modl boms mo pfabl as h and s inas. Whn h =45%, h manufau modl is h mos pfabl alnaiv and an gna almos % pofi impovmn und s =3 p uni as shown in Figu 6 (). As xpd, whn h is high, h ail pfs o od an mgny od han holding a lo of invnoy. Hn, h mgny oding is oud qui ofn wih high quaniy. Aoding o h sul fom h fis blok olumn of abl 3 wih h =45% of podu valu, h ail ss low ag sok lvl and high od poin. I is vidn ha h manufau an g h advanag of holding high sok o supply boh gula and mgny od. hfo, manufau modl oupfoms h oh alnaivs whn h is high. 86 GLOBAL INFORMAION PUBLISHER
19 Opimizaion of Piodi Rviw Invnoy Modl abl 3. Compaison of dision vaiabls und dfn ss of holding os and oppouniy los of shoag a h ail Manufau Modl Ousouing Modl Pioiy Modl h s S ss R S ss R S ss R % Pofi impovmn Oppouniy los os a h ail s [$/uni] Manufau modl Ousou Modl Pioiy Modl (a) h = 5% (b) h = 3% () h = 45% Fig. 6. Compaison of h pofi impovmn wih holding os and oppouniy los of shoag a h ail 5 Conlusions W hav invsigad a piodi viw invnoy of wo-hlon supply hain sysm in whih boh gula and mgny ods an b plad piodially. h alnaivs fo making h mgny ods a onsidd as manufau, ousouing and pioiy modls. W fomula h poblm und boh dmand and lad-im vaiaions, and also allows boh gula and mgny lad-im o b abiay lnghs. In addiion, his sudy is no sid o h assumpion mad in h pvious sudis ( [-5] and [8]) ha h dfn of gula and mgny lad-im is always qual o on piod. So h poblm is fd o h ing nonlina pogamming poblm, whih is vy omplx and dfiul o solv. o onn wih suh poblm, DE was applid o dmin h opimal maial oding poliy and safy sok lvl of GLOBAL INFORMAION PUBLISHER 87
20 Innaional Jounal of Compuaional Sin h manufau, od poin and ag sok lvl a h ail ha maximizs h pofi of h supply hain sysm. DE is known as an ffiv algoihm o handl wih non-dfniabl, nonlina and oh omplx mahmaial funions. Also DE is a simpl and saighfowad sagy baus i quis only a fw ky paams, whih a no dfiul o sl, o obain good soluions. Moov, insad of using pu binay oding basd on h onp of GA and al valu oding of oiginal DE, mixd binay-ing oding is implmnd in h psn DE algoihm. h suls show ha DE is a good mhod ha has fas onvgn popy and div h opimal soluion ffiinly (h ompaison bwn GA and DE in [3] shows h supioiy of DE o GA). Howv, a limid numb of sahs hav onsidd abou DE s bhavio in alwold appliaions, spially in h filds of supply hain managmn and indusial ngining. hough as sudy, h main bnfis of using mgny mod and h pfoman of ah alnaiv mod an b summaizd as follows: W an ahiv pofi impovmn of h supply hain sysm by implmning any alnaivs of mgny mods in whih ah alnaiv is suiabl o implmn in dfn ondiions. Howv, h mgny mod will bom lss aaiv whn sandad dviaion of dmand, shoag os and holding os of podus a h ail das, and whn anspoaion os and puhasing os of mgny od inas. Anoh insing obsvaion is ha h manufau modl and pioiy modl a qui snsiiv o σ and. In fa, hs wo mods will nv bn usd und a vy low σ wih high (i.., σ = 5 unis/day wih = $/uni in his sudy). On h oh hand, h ousou modl will nv bn usd whn h is vy high (i.., = $55/uni in his sudy). Sin his is h fis sp of applying h mgny onp o h supply hain sysm and inodu DE algoihm o solv poblm in indusial ngining fild, h a sill lf a lo of poblms fo fuh sudy. Fo xampls, i is insing o xnd a singl wo-hlon supply hain sysm o h supply hain nwok and sudy abou h hybid of DE wih h oh opimizaion appoahs. Aknowldgmns his sah is suppod by oyoaki Sholaship Foundaion. his suppo is aknowldgd gafully. Rfns. Vlahos, D. and agaas, G.: An invnoy sysm wih wo supply mods and apaiy onsains. In. J. Poduion Eonomis 7 () Baankin, E.W.: A dlivy-lag invnoy modl wih an mgny povision. Naval Rsah Logisis Qualy 8 (96) GLOBAL INFORMAION PUBLISHER
21 Opimizaion of Piodi Rviw Invnoy Modl 3. Bulinkaya, EV.: Som suls onning opimum invnoy poliis. hoy of Pobabiliy Appliaions 9 (964) Fukuda, Y.: Opimal poliis fo h invnoy poblm wi ngoiabl lad-im. Managmn Sin (964) Vino, A.F. J.: h saus of mahmaial invnoy hoy. Managmn Sin (966) Chiang, C. and Guiz, G.J.: A piodi viw invnoy sysm wih wo supply mods. Euopan jounal of Opaional Rsah 94 (966) Chiang, C.: Opimal plnishmn fo a piodi viw invnoy sysm wih wo supply mods. Euopan Jounal of Opaion Rsah 49 (3) Bylka, S.: unpik poliis fo piodi viw invnoy modl wih mgny ods. In. J. Poduion Eonomis (5) Son, R. and Pi, K.: Dfnial Evoluion-A simpl and ffiin huisi fo global opimizaion ov oninuous spa. Jounal of Global Opimizaion (997) Angia, R. and Babu, B.V.: Opimizaion of poss synhsis and dsign poblms: A modid dfnial voluion appoah. Chmial Engining Sin 6 (6) sin, R.J.: Pinipls of invnoy and maial managmn, Pni Hall, Englwood Clfs, Nw Jsy (996).Chiadamong N. and Paswaana, K.: A ompaaiv sudy of supply hain modls und h adiional nalizd and oodinaing poliis wih inniv shms. Compu & Indusial Engining 5 (6) Paswaana K., Shimizu Y. and Chiadamong, N.: Evoluional opimizaion on maial oding and invnoy onol of supply hain hough inniv shm. Poding of h s Innaional Symposium on Shduling, 8-4 July 6, okyo, Japan, 8-86 GLOBAL INFORMAION PUBLISHER 89
CONSISTENCY OF (INTERTEMPORAL) BETA ASSET PRICING AND BLACK-SCHOLES OPTION VALUATION
Invsmn anagmn and Finanial Innovaions, Volum 3, Issu 4, 6 55 CONSISTENCY OF INTERTEPORAL BETA ASSET PRICING AND BLAC-SCHOLES OPTION VALUATION Anj Hnn, P Rihling Absa I is wll-known ha h CAP valuaion omula
More informationISSeG EGEE07 Poster Ideas for Edinburgh Brainstorming
SSG EGEE07 Pos das fo Edinbugh Bainsoming 3xposs, plus hoizonal and vical banns (A0=841mm x 1189mm) Why SSG: anion gabbing: hadlins/shock phoos/damaic ycaching imag Wha is SSG: pojc ovviw: SSG ino, diffnc
More informationHUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004
HUT, TUT, LUT, OU, ÅAU / Engineeing depamens Enane examinaion in mahemais May 5, 4 Insuions. Reseve a sepaae page fo eah poblem. Give you soluions in a lea fom inluding inemediae seps. Wie a lean opy of
More informationOPTIONS EVALUATION - BLACK-SCHOLES MODEL VS. BINOMIAL OPTIONS PRICING MODEL
Ya IX, o./00 37 OPIO EVALUAIO - BLACK-CHOLE MODEL V. BIOMIAL OPIO PRICIG MODEL Po. Ioan RECA, PhD Assis. Po. Maia-Miuna POCHEA, PhD un L. Angla-Maia FILIP, Ph Babş-Bolyai Univsiy, Cluj-aoa. Inouion A aiulaly
More informationIT Update - August 2006
IT Nws Saus: No Aciv Til: Da: 7726 Summay (Opional): Body: Wlcom Back! Offic of Infomaion Tchnology Upda: IT Upda - Augus 26 Rob K. Blchman, Ph.D. Associa Dico, Offic of Infomaion Tchnology Whil You W
More informationX-CAPM: An Extrapolative Capital Asset Pricing Model
X-CAPM: An Exapolaiv Capial Ass Picing Modl Nicholas Babis*, Robin Gnwood**, Lawnc Jin*, and Andi Shlif** *Yal Univsiy and **Havad Univsiy Absac Suvy vidnc suggss ha many invsos fom blifs abou fuu sock
More informationThe DF Structure Models for Options Pricing On the Dividend-Paying and Capital-Splitting
h F ucu Mols fo Opions Picing On h iin-paying an Capial-pliing Fng AI pamn of Managmn cinc Zhngzhou Infomaion Engining Unisiy P.O.Bo Zhngzhou Hnan 45 China E-mail: fngai@public.zz.ha.cn; fngai@6.com Absac.
More informationBankruptcy law and firms' behavior
Woing ap Sis Naional n of ompnc in sach Financial Valuaion and is Managmn Woing ap No. 37 anupcy law and fims' bhavio nn paulad ud omm Fis vsion: Jun 5 un vsion: Fbuay 6 his sach has bn caid ou wihin h
More informationDerivations and Applications of Greek Letters Review and
Rvi //008 Chap 0 Divaion an Applicaion of Gk L Rviw an Ingaion By Hong-Yi Chn, Rug Univiy, USA Chng-Fw L, Rug Univiy, USA Wikang Shih, Rug Univiy, USA Abac In hi chap, w inouc h finiion of Gk l. W alo
More informationChad Saunders 1, Richard E Scott 2
Chad Sauds 1, Richad E Sco 2 1 Haskay School of Busiss. 2 Dpam of Commuiy Halh Scics ad Family Mdici / Dico, Offic of Global -Halh Sagy. Uivsiy of Calgay, Calgay, Alba, Caada Md--Tl 2013 Luxmboug, G. D.
More informationTransient Analysis of First Order RC and RL circuits
Transien Analysis of Firs Order and iruis The irui shown on Figure 1 wih he swih open is haraerized by a pariular operaing ondiion. Sine he swih is open, no urren flows in he irui (i=0) and v=0. The volage
More informationOutline. - The Trafo Project - 1. Introduction of GEF Ingenieur AG and Trafo Project. 2. Intregrating Renewables into the Jena District Heating System
omey Iaioal Cofc Dcmb,, - Th Tafo Pojc - iai Rwabls io xi Dic Hai Sysms Dipl.-I. (FH) Ssa Ochs GEF Ii AG Fdiad-Posch-S. a 9 im ifo@f.d www.f.d Oli. Iodcio of GEF Ii AG ad Tafo Pojc. Iai Rwabls io h Ja
More informationExotic Options: Pricing Path-Dependent single Barrier Option contracts
Exoic Opions: Picing Pah-Dpnn singl Bai Opion conacs Abuka M Ali Mahmaics an aisics Dpamn Bikbck Univsiy of Lonon YilCuv.com Pag of 8 Aac his pap iscusss h basic popis of bai opions an an analyical soluion
More informationPreface. P.1 Purpose. P.3 Authority. P.4 References. Procedures for Performing a Failure Modes, Effects, and Criticality
Pfa Sandad fo Pfomng a Falu Mod and Effs Analyss (FMEA) and Esablshng a Cal Ims Ls (CIL) (DRAFT) Flgh Assuan Podu (FAP) 322-209 P.1 Pupos An FMEA an b dsbd as a sysma goup of avs nndd o: (a) ognz and valua
More informationNumerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model
Gn. Mah. Nos, Vol. 9, No. 2, Dcmbr, 23, pp. 4- ISSN 229-784; Copyrigh ICSRS Publicaion, 23 www.i-csrs.org Availabl fr onlin a hp://www.gman.in Numrical Algorihm for h Sochasic Prsn Valu of Aggrga Claims
More informationMethodological Problems in Solvency Assessment of an Insurance Company 1
Invsmn Managmn and Financial Innovaions, /4 95 Mhodological Poblms in Solvncy Assssmn of an Insuanc Comany 1 Rosa Cocozza, Emilia Di Lonzo 3, Mailna Sibillo 4 Absac Th cn wid dvlomn and changs in insuanc
More information1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).
PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a
More informationLaplace Transformation Techniques vs. Extended Semi-Markov Processes Method
Innionl Jounl of Alid Sin nd hnology Vol. No.4; July Ll nsfomion hniqus vs. Endd Smi-Mkov Posss Mhod Abs Ling Hong ASA Ph.D. Assisn Pofsso of Mhmis nd Auil sin Dmn of Mhmis dly Univsiy 5 Ws dly Avnu Poi
More informationSolving the real business cycles model of small-open economies by a sample-independent approach
Solving h al buin cycl modl of mall-opn conomi by a ampl-indpndn appoach Wn-Ya Chang Iniu of Economic, Naional Sun Ya-n Univiy Dpamn of Economic, Fu-Jn Caholic Univiy Hiu-Yun L * and Yu-Lin Wang Dpamn
More informationProblem Solving Session 1: Electric Dipoles and Torque
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Dpatmnt of Physics 8.02 Poblm Solving Sssion 1: Elctic Dipols and Toqu Sction Tabl (if applicabl) Goup Mmbs Intoduction: In th fist poblm you will lan to apply Coulomb
More informationTable 1. Compound annual real returns, by type of investment, 1802-1998 (in percent)
Tabl 1. Compound annual al uns, by yp of invsmn, 1802-1998 in pcn iod Socks Bonds Bills old Inflaion 1802-1998 7.0 3.5 2.9-0.1 1.3 1802-1870 7.0 4.8 5.1 0.2 0.1 1871-1925 6.6 3.7 3.2-0.8 0.6 1926-1998
More informationHFCC Math Lab Intermediate Algebra - 13 SOLVING RATE-TIME-DISTANCE PROBLEMS
HFCC Mah Lab Inemeiae Algeba - 3 SOLVING RATE-TIME-DISTANCE PROBLEMS The vaiables involve in a moion poblem ae isance (), ae (), an ime (). These vaiables ae elae by he equaion, which can be solve fo any
More informationA Versatile Method for Analyzing the Influence of Track Irregularity on Vehicle-track-bridge Coupled System
Rah Jounal of Applid Sin, Engining and Thnology 7(6): 1156-116, 01 ISSN: 00-759; -ISSN: 00-767 Maxwll Sinifi Oganizaion, 01 Sumid: Mah 0, 013 Apd: Mah 9, 013 Pulihd: Fuay 15, 01 A Vail Mhod fo Analyzing
More informationUNIVERSITÉ PARIS I PANTHÉON-SORBONNE MASTER MMMEF
UNIVRIÉ PARI I PANHÉON-ORBONN MAR MMM Pacou inanc Ramzi MAALOU PARICULARII of h COMMODII MARK Réumé C appo d ag pén un vu global du maché d maiè pmiè L impoanc d c maché n a pa cé d augmn c dniè anné n
More informatione3 insights Stop interrupting me! Re-discovering the art of attraction through content marketing
Global Insihs Maazin Issu 10 - Edid by Bas On 2013 3 insihs Sop inupin m! R-discovin h a of aacion houh conn makin 2 3 4 6 INSIDE THIS ISSUE Wha is conn makin? And why should I b insd? Inup vs ins Ou-hink
More informationA Place to Choose Quality, Affordable Health Insurance
MI O A ʼ H A L HI U R A C X C H A G mp w n gm n n af a m ma k a h a b u h a m a M nn ha h n u an x hangw mp v mp nbyn u ag ng n u andha h a p v d p a g a unqua yanda dab y M nn a am w avv $1b nbyu ng hx
More informationWelcome to the workshop Occupational science as a theoreticalfoundation for practice in the social arena
Wlm h wkhp Oupinl in hilfundin f pi in h il n - diu h pnil f OS in nw n - db limiin nd pibl hming Pvniv hlh Cmmuniy bd Fu n upin: Mning Enggmn Piipin Inn mhnim: Mul ngh Rng f min Cgniin S i l H l h Oupinl
More informationMany quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B.
Displacmn snsors Many quaniis ar ransducd in a displacmn and hn in an lcric signal (prssur, mpraur, acclraion). Poniomrs Poniomrs i p p i o i p A poniomr is basd on a sliding conac moving on a rsisor.
More informationComponent Business Model for Digital Repositories: A Framework for Analysis
Cmpnn Businss Mdl f Digial Rpsiis: A Famwk f Analysis Raymnd J. van Dissn Babaa Siman Chisph A. L IBM Glbal Svis Nainal Libay f h Nhlands Shl f Infmain and Libay Sin Jhan Huizingalaan 765 Pins Willm-Alxandhf
More informationChapter 5. Aggregate Planning
Chaper 5 Aggregae Planning Supply Chain Planning Marix procuremen producion disribuion sales longerm Sraegic Nework Planning miderm shorerm Maerial Requiremens Planning Maser Planning Producion Planning
More informationModeling the Yield Curve Dynamics
FIXED-INCOME SECURITIES Chape 2 Modeling he Yield Cuve Dynamics Ouline Moivaion Inees Rae Tees Single-Faco Coninuous-Time Models Muli-Faco Coninuous-Time Models Abiage Models Moivaion Why do we Cae? Picing
More informationModule 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur
Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,
More informationVictims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years
Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957
More informationValuing Long-Lived Assets
Valuing Long-Lived Asses Olive Tabalski, 008-09-0 This chape explains how you can calculae he pesen value of cash flow. Some vey useful shocu mehods will be shown. These shocus povide a good oppouniy fo
More informationHEAT TRANSFER ANALYSIS OF LNG TRANSFER LINE
Scintific Jounal of Impact Facto(SJIF): 3.34 Intnational Jounal of Advanc Engining and sach Dvlopmnt Volum,Issu, Fbuay -05 HEAT TANSFE ANALYSIS OF LNG TANSFE LINE J.D. Jani -ISSN(O): 348-4470 p-issn(p):
More informationRandom Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary
Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes
More informationHow to calculate effect sizes from published research: A simplified methodology
WORK-LEARNING RESEARCH How o alulae effe sizes from published researh: A simplified mehodology Will Thalheimer Samanha Cook A Publiaion Copyrigh 2002 by Will Thalheimer All righs are reserved wih one exepion.
More informationQUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A
UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A Plas rurn your compld qusionnair in h nclosd nvlop o: [Rurn Addrss] RNID PID Copyrigh by h Univrsiy
More informationThe effect on the Asian option price times between the averaging. Mark Ioffe
866 U Naos Plaza u 566 Nw Yok NY 7 Pho: 3 355 Fa: 4 668 fo@gach.co www.gach.co h ffc o h sa opo pc s bw h avagg Mak Ioff bsac h acl s o h calculao of h pc of sa opo. I pacula w aalz h ffc o h opo pc s
More informationTerm Structure of Interest Rates: The Theories
Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor
More information1 HALF-LIFE EQUATIONS
R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)
More informationThe Application of Multi Shifts and Break Windows in Employees Scheduling
The Applicaion of Muli Shifs and Brea Windows in Employees Scheduling Evy Herowai Indusrial Engineering Deparmen, Universiy of Surabaya, Indonesia Absrac. One mehod for increasing company s performance
More informationThe Transport Equation
The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be
More informationRef No: Version 5.1 Issued: September, 2013
Sv Goodridg 21 Casl Sr Edardson SA 5039 obil: 0405 111 646 sv@goodridg.n.au.ranksuccss.co Adlaid SEO ~ Sv Goodridg Sarch Engin Succss R No: Vrsion 5.1 Issud: Spbr, 2013 Sv Goodridg ~ Adlaid SEO SEO-Packs.doc
More informationDept. of Heating, Ventilation and Air-Conditioning. Zentralschweizerisches Technikum Luzern Ingenieurschule HTL
Znralshwizrishs Thnikum Luzrn Ingniurshul HTL Dp. o Haing, Vnilaion Elkrohnik - Mashinnhnik - Hizungs-, Lüungs-, Klimahnik - Arhikur - Bauingniurwsn Dvlopd in h proj Low Tmpraur Low Cos Ha Pump Haing Sysm
More informationThe Casino Experience
Th Casino Expin with Mahi s authnti Indian uisin Lt us nttain you Th Casino Expin 10 Th Staight Flush Expin 20 p ps If you looking fo a gat night out, a Casino Expin patnd This is a gat intoduti to gaing
More informationEndogenous Growth Practice Questions Course 14.451 Macro I TA: Todd Gormley, tgormley@mit.edu
Endogenous Grow Praie Quesions Course 4.45 Maro I TA: Todd Gormley, gormley@mi.edu Here are wo example quesions based on e endogenous grow models disussed by Marios in lass on Wednesday, Mar 9, 2005. Tey
More informationCampus Sustainability Assessment and Related Literature
Campus Sustainability Assessment and Related Literature An Annotated Bibliography and Resource Guide Andrew Nixon February 2002 Campus Sustainability Assessment Review Project Telephone: (616) 387-5626
More informationEconomics Honors Exam 2008 Solutions Question 5
Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I
More informationHandout 3. Free Electron Gas in 2D and 1D
Handout 3 F lcton Gas in D and D In this lctu ou will lan: F lcton gas in two dinsions and in on dinsion Dnsit o Stats in -spac and in ng in low dinsions C 47 Sping 9 Fahan Rana Conll Univsit lcton Gass
More informationGENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING
forcasing, dmand, gnic algorihm Grzgorz Chodak*, Wiold Kwaśnicki* GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING Th mhod of forcasing sasonal dmand applying gnic algorihm is prsnd. Spcific form of usd
More informationFLOOR OPTIONS ON STRUCTURED PRODUCTS AND LIFE INSURANCE CONTRACTS
6 Invsmn Managmn and Financial Innovaions, Volum 3, Issu 3, 6 FLOOR OPIONS ON SRUURED PRODUS AND LIFE INSURANE ONRAS Rami Yos Absac W consid an xoic call opion dind on sucud poducs and on wo ps o li insuanc
More informationC o a t i a n P u b l i c D e b tm a n a g e m e n t a n d C h a l l e n g e s o f M a k e t D e v e l o p m e n t Z a g e bo 8 t h A p i l 2 0 1 1 h t t pdd w w wp i j fp h D p u b l i c2 d e b td S t
More informationDesign of Extended Warranties in Supply Chains. Abstract
Dsign of Extndd Waantis in Supply Chains Kunpng Li Univsity of Illinois at Ubana Champaign, Collg of Businss Dilip Chhajd Univsity of Illinois at Ubana Champaign, Collg of Businss Suman Mallik Univsity
More informationSensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming
Sensiiviy Analysis of a Dynamic Flee Managemen Model Using Appoximae Dynamic Pogamming HUSEYIN TOPALOGLU School of Opeaions Reseach and Indusial Engineeing, Conell Univesiy, Ihaca, New Yok 14853, USA,
More informationInstallation Precautions
ECOMY POWER CHECK CLOCK + AN AUT HEA AUT AN SAFETY PRECAUTIS Bfo opaing, plas ad h following Safy Pcauions cafully. To pvn psonal injuy, injuy o ohs and popy damag, h following insucions mus b followd.
More informationSingle-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1
Absrac number: 05-0407 Single-machine Scheduling wih Periodic Mainenance and boh Preempive and Non-preempive jobs in Remanufacuring Sysem Liu Biyu hen Weida (School of Economics and Managemen Souheas Universiy
More information4 Convolution. Recommended Problems. x2[n] 1 2[n]
4 Convoluion Recommended Problems P4.1 This problem is a simple example of he use of superposiion. Suppose ha a discree-ime linear sysem has oupus y[n] for he given inpus x[n] as shown in Figure P4.1-1.
More informationOFFSHORE INTERNATIONAL MARINE PERSONNEL SERVICES, INC. EMPLOYMENT APPLICATION
OFFSHORE INTERNATIONAL MARINE PERSONNEL SERVICES, INC. 3802 W. Nvy Bvd Po, FL 32507 Tho: (850) 455-2995 Tx: (850) 455-3033 www.oho-.om EMPLOYMENT APPLICATION Poo Ay Fo Nm: F L SS# - - Add Cy/S Z Pho: Hom
More informationAP Calculus AB 2013 Scoring Guidelines
AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was
More information1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z
o ffix uden abel ere uden ame chool ame isric ame/ ender emale ale onh ay ear ae of irh an eb ar pr ay un ul ug ep c ov ec as ame irs ame lace he uden abel ere ae uden denifier chool se nly rined in he
More informationVariability Basics. God does not play dice with the universe. Variability Makes a Difference!
Vaiabiliy Bai God do no play di wih h univ. Alb Einin Sop lling God wha o do. Nil Boh Walla J. Hopp, Mak L. Spaan, 1996, hp://faoy-phyi.o 1 Vaiabiliy Mak a Diffn! Lil Law: TH WIP/CT, o a houghpu an b obaind
More information4. International Parity Conditions
4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency
More informationAppendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.
Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa
More informationPerformance Control of PMSM Drives Using a Self-tuning PID
fom oo of MSM U Sf- I XIO X I Yoo I M pm of h U j 8 h ho: 86--67858 Fx: 86--67896 -m: xo_x@h.. -I h pp f- I oo o mmm mho pp o h pm-m hoo moo MSM p oo m. h popo mho h ppoxm mmm pop h of h o-oop m po-m whh
More informationChapter 7. Response of First-Order RL and RC Circuits
Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural
More informationG ri d m on i tori n g w i th N A G I O S (*) (*) Work in collaboration with P. Lo Re, G. S av a and G. T ortone WP3-I CHEP 2000, N F N 10.02.2000 M e e t i n g, N a p l e s, 29.1 1.20 0 2 R o b e r 1
More informationEstimating Powers with Base Close to Unity and Large Exponents
Divulgacions Mamáicas Vol. 3 No. 2005), pp. 2 34 Esimaing Powrs wih Bas Clos o Uniy and Larg Exponns Esimacón d Poncias con Bas Crcana a la Unidad y Grands Exponns Vio Lampr Vio.Lampr@fgg.uni-lj.si) FGG,
More information1. Time Value of Money 3 2. Discounted Cash Flow 35 3. Statistics and Market Returns 49 4. Probabilities 81 5. Key Formulas 109
1. Time Value of Money 3 2. Discouned Cash Flow 35 3. Saisics and Make Reuns 49 4. Pobabiliies 81 5. Key Fomulas 109 Candidae Noe: This is a lenghy Sudy Session ha, along wih Sudy Session 3, you should
More informationwww.akcp.com Virtual Sensors
www.akcp.cm Irduci: Virual Ssrs Virual ssrs ca b a vry pwrful l i yur mirig sysm. O h scuriyprb yu ca hav up 80 f hs virual ssrs ad hy allw fr a muliud f applicais. Igrai wih MODBUS wrks wih h scuriyprb
More informationLoad Balancing Algorithm Based on QoS Awareness Applied in Wireless Networks
, pp.191-195 http://x.oi.og/10.14257/astl.2015.111.37 Loa Balancing Algoithm Bas on QoS Awanss Appli in Wilss Ntwoks CHEN Xiangqian, MA Shaohui Dpatmnt of Comput Scinc an Tchnology, Hnan Mchanic an Elctical
More informationUnit 2. Unit 2: Rhythms in Mexican Music. Find Our Second Neighborhood (5 minutes) Preparation
Uni 2 Prparaion Uni 2: Rhyhms in Mxican Music Find Our Scond Nighborhood (5 minus) Th Conducor now aks us on a journy from Morningsid Highs, Manhaan, o Eas Harlm, Manhaan, o m our nx singr, Clso. Hav sudns
More informationTransient Thermoelastic Behavior of Semi-infinite Cylinder by Using Marchi-Zgrablich and Fourier Transform Technique
Inrnaional Journal of Mahmaical Enginring and Scinc ISSN : 77-698 Volum 1 Issu 5 (May 01) hp://www.ijms.com/ hps://sis.googl.com/si/ijmsjournal/ Transin Thrmolasic Bhavior of Smi-infini Cylindr by Using
More informationJournal Of Business & Economics Research September 2005 Volume 3, Number 9
Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: jabbour@gwu.edu), George Washingon Universiy Yi-Kang Liu, (yikang@gwu.edu), George Washingon Universiy ABSTRACT The advanage of Mone Carlo
More informationAnalogue and Digital Signal Processing. First Term Third Year CS Engineering By Dr Mukhtiar Ali Unar
Analogue and Digial Signal Processing Firs Term Third Year CS Engineering By Dr Mukhiar Ali Unar Recommended Books Haykin S. and Van Veen B.; Signals and Sysems, John Wiley& Sons Inc. ISBN: 0-7-380-7 Ifeachor
More information= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,
Chaper 19 The Black-Scholes-Vasicek Model The Black-Scholes-Vasicek model is given by a sandard ime-dependen Black-Scholes model for he sock price process S, wih ime-dependen bu deerminisic volailiy σ
More informationFull-wave rectification, bulk capacitor calculations Chris Basso January 2009
ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal
More informationQuestion 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
More informationPricing strategy of e-commerce platform under different operational models
Picing saegy of e-coece lafo unde diffeen oeaional odels Shuihua Han, Yufang Fu School of Manageen, Xiaen Univesiy, Xiaen, 36000, China Absac: We odel icing saegy unde lafo coeiion wih diffeen e-coece
More informationAP Calculus AB 2010 Scoring Guidelines
AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in 1, he College
More informationOptimal Investment and Consumption Decision of Family with Life Insurance
Opimal Invesmen and Consumpion Decision of Family wih Life Insurance Minsuk Kwak 1 2 Yong Hyun Shin 3 U Jin Choi 4 6h World Congress of he Bachelier Finance Sociey Torono, Canada June 25, 2010 1 Speaker
More informationConnecting With You. Investing in a Good. Education/Better Jobs You want to get a good education after high school that will lead to a great job.
Collg Plning Aviso Conncing Wih You Eucaion/B Jobs You w o g a goo ucaion af gh school ha will la o a ga job. Bu how? Invsing in a Goo Soy af soy alks abou h gh cos of pos gh school ucaion. Coss o Invsmn?
More informationPC Problems HelpDesk Service Agreement
Enn SS 7 b aw f Un Sa & anaa an b nnana a I IS ILLEGL ND SRILY ROHIIED O DISRIUE, ULISH, OFFER FOR SLE, LIENSE OR SULIENSE, GIVE OR DISLOSE O NY OHER RY, HIS RODU IN HRD OY OR DIGIL FORM LL OFFENDERS WILL
More informationEquities: Positions and Portfolio Returns
Foundaions of Finance: Equiies: osiions and orfolio Reurns rof. Alex Shapiro Lecure oes 4b Equiies: osiions and orfolio Reurns I. Readings and Suggesed racice roblems II. Sock Transacions Involving Credi
More informationForecasting Sales: A Model and Some Evidence from the Retail Industry. Russell Lundholm Sarah McVay Taylor Randall
Forecasing Sales: A odel and Some Evidence from he eail Indusry ussell Lundholm Sarah cvay aylor andall Why forecas financial saemens? Seems obvious, bu wo common criicisms: Who cares, can we can look
More informationin the SCM Age Akihiko Hayashi The University of Electro-Communications 1-5-1, Chofugaoka, Chofu, Tokyo, 182-8585, JAPAN Email: ahayashi@se.uec.ac.
A Theory and Tools for Collaboraive Demand-o-Supply Managemen in he SCM Age Akihiko Hayashi The Universiy of Elero-Communiaions 1-5-1, Chofugaoka, Chofu, Tokyo, 182-8585, JAPAN Email: ahayashi@se.ue.a.jp
More informationTank Level GPRS/GSM Wireless Monitoring System Solutions
Tank Lvl GPRS/GSM Wilss Monitoing Systm Solutions HOLYKELL TECHNOLOGY CO.LTD May,2014 Ⅰ. Solution Rquimnts 1. Intoduction Th solution is mainly including: wilss data tansciv tminal, lvl snso and PC sv
More informationMANAGEMENT SCIENCE doi 10.1287/mnsc.1070.0804ec pp. ec1 ec17
MAAEMET SCIECE doi 087/mn0700804e e e7 e-omanion OY AAIABE I EECTOIC OM infom 008 IOMS Eleoni Comanion Call Cene Ououing Cona Unde Infomaion Aymmey by Samee aija Edieal J inke and obe A Sumky Managemen
More informationOption Put-Call Parity Relations When the Underlying Security Pays Dividends
Inernaional Journal of Business and conomics, 26, Vol. 5, No. 3, 225-23 Opion Pu-all Pariy Relaions When he Underlying Securiy Pays Dividends Weiyu Guo Deparmen of Finance, Universiy of Nebraska Omaha,
More informationII II. XO x x xx. fdbk. :: 1.:1,.: ft :: :: 1.:1. pitch: E I I I I. end Rhy. Fig. 1 P.M.-, P.M.-, P.M.- -, P.M.-, (repear previous two measures)
no {000) SHOOT TO THRLL C/DC WORDS ND MUSC BY ngus Young Malcolm Young and Bian Johnson TRNSCRBED BY Chis mela 5 C5 111 v 5v XO xx xoo ffl ffll i XO x x xx 5f d5f 4 1 ll 14 14 14 14 E7#9 D XV Gxv x11 v
More informationInternational Journal of Supply and Operations Management
Inernaional Journal of Supply and Operaions Managemen IJSOM May 05, Volume, Issue, pp 5-547 ISSN-Prin: 8-59 ISSN-Online: 8-55 wwwijsomcom An EPQ Model wih Increasing Demand and Demand Dependen Producion
More informationSIF 8035 Informasjonssystemer Våren 2001
SIF 8035 Iformasjossysmr Vår 2001 Øvig 6 SAP Løsigsforslag Cas scripio Th compay IDES AG is a Grma-bas car proucr, which buys car pars (bumprs) from BMW a Volkswag. Th compay is maag from Hamburg, hough
More informationPhysics. Lesson Plan #9 Energy, Work and Simple Machines David V. Fansler Beddingfield High School
Physics Lsson Plan #9 Engy, Wok an Simpl Machins Davi V. Fansl Bingfil High School Engy an Wok Objctivs: Dscib th lationship btwn wok an ngy; Display an ability to calculat wok on by a foc; Intify th foc
More informationHedging Portfolios with Short ETFs
Hedging Pofolios wih Sho EFs hosen Michalik, Deusche Bank AG Leo Schube, Consance Univesiy of Applied Sciences hosen.michalik@deusche-bank.de Schube@HWG-Konsanz.de Documenos de abajo en Análisis Económico.-
More informationWhy am I poor? First Nations Child Poverty in Ontario
Why am I poo? Fis Naions Child Povy in Onaio Advisoy Mmbs Acknowldgmns Bs Sa Rsouc Cn hanks Nancy Sagmis fo saching and wiing his po and Alic Baudoin fo h phoogaphs conaind in h po unlss ohwis nod. This
More informationWHAT ARE OPTION CONTRACTS?
WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be
More information1. Oblast rozvoj spolků a SU UK 1.1. Zvyšování kvalifikace Školení Zapojení do projektů Poradenství 1.2. Financování 1.2.1.
1. O b l a s t r o z v o j s p o l k a S U U K 1. 1. Z v y š o v á n í k v a l i f i k a c e Š k o l e n í o S t u d e n t s k á u n i e U n i v e r z i t y K a r l o v y ( d á l e j e n S U U K ) z í
More informationInstruction: Solving Exponential Equations without Logarithms. This lecture uses a four-step process to solve exponential equations:
49 Instuction: Solving Eponntil Equtions without Logithms This lctu uss fou-stp pocss to solv ponntil qutions: Isolt th bs. Wit both sids of th qution s ponntil pssions with lik bss. St th ponnts qul to
More information2.4 Network flows. Many direct and indirect applications telecommunication transportation (public, freight, railway, air, ) logistics
.4 Nework flow Problem involving he diribuion of a given produc (e.g., waer, ga, daa, ) from a e of producion locaion o a e of uer o a o opimize a given objecive funcion (e.g., amoun of produc, co,...).
More information