Bullwhip Effect Measure When Supply Chain Demand is Forecasting
|
|
|
- Blaze Henry
- 9 years ago
- Views:
Transcription
1 J. Basic. Appl. Sci. Res., (4)47-43, 01 01, TexRoad Publicaio ISSN Joural of Basic ad Applied Scieific Research Bullwhip Effec Measure Whe Supply Chai emad is Forecasig Ayub Rahimzadeh 1, Alireza Haji, ad Ahmad Makui 3 1 eparme of Idusrial Egieerig, Sciece ad Research Brach, Islamic Azad Uiversiy, Tehra, Ira eparme of Idusrial Egieerig, Sharif Uiversiy of Techology, Tehra, Ira 3 eparme of Idusrial Egieerig, Ira Uiversiy of Sciece ad Techology, Tehra, Ira ABSTRACT emad flucuaios i he supply chai lead o uceraiy i iveory policy ad hereupo he iveory coss icrease. This paper cosiders he impac of forecasig o he demad variaio i a serial hree-sage supply chai icludig a reailer, a maufacurer ad a supplier. Four forecasig mehods are cosidered ad demad variaios evaluaed as bullwhip effec measure. We use aalyical mehod o derive bullwhip effec o measure demad variaios i secod ad hird sage. Resuls show demad flucuaios icreases as oe move up supply chai. Ad he differe forecasig mehods lead o icreasig he variaios ad he more previous daa usig leads o more precisio. KEY WORS: Supply chai, Forecasig, Bullwhip Effec. 1. INTROUCTION A supply chai cosiss of all paries ivolved i fulfillig a cusomer reques. A supply chai usually icludes he maufacurer, suppliers, rasporers, warehouses, reailers ad cusomers. Wihi each orgaizaio such as maufacurer, he supply chai icludes all fucios ivolved i receivig ad fillig a cusomer reques.[1] I is becomig icreasigly difficul o igore he demad variaios i a supply chai. The demad variaios usually saed as bullwhip effec ha measured as each sage of supply chai demad variace divided by cusomers demad variace. I fac, as oe move up he supply chai from reailer o suppliers, observe more variabiliy i demad. Firsly he bullwhip effec has bee sudied by Forreser[],[3]. He sudied some evideces of bullwhip effec ad discussed he causes lead o his pheomeo. Oher papers demosraed he bullwhip effec ad foud some evideces of iveory volailiy [4], [5], [6], [7]. The Beer Game, which developed ad used i eachig iveory maageme i MIT, repored by Serma[8]. Lee e al. [9],[10] propose five mai causes of bullwhip effec, demad forecasig, o-zero lead ime, order bachig, shorages ad price flucuaios. To avoid he bullwhip effec, all causes should be elimiaed. They cosidered AR(1) demad process i a simple wo sage supply chai. Meers[11] ideify he bullwhip effec usig a lower boud o he profiabiliy of bullwhip effec. He measured he impac of bullwhip effec by comparig i wo cases: high demad variabiliy versus low demad variabiliy wih seasoaliy effec. Graves [1] * Correspodig auhor: Ayub Rahimzadeh, eparme of Idusrial Egieerig, Sciece ad Research Brach, Islamic Azad Uiversiy, Tehra, Ira. [email protected] 47
2 Rahimzadeh e al., 01 measures he bullwhip effec for a supply chai i which demad process follows a iegraed movig average. Che e al.[1] measure he bullwhip effec i a supply chai icludig wo sages wih AR(1) demad process observed by he reailer. The reailer forecass fuure demad by movig-average forecasig mehod. They ve derived a lower boud for he bullwhip effec. Che e al.[13] exed heir resuls for expoeial smoohig mehod. They quaified he bullwhip effec ad foud ha i depeds o boh he aure of cusomers demad process ad he used forecasig mehod. They cocluded he bullwhip effec would icreases whe he lead ime icreases. Xiaolog Zhag [14] cosiders a simple supply chai wih order-up-o repleishme sysem. He miimizes he mea-squared forecasig error for he demad process ad cocludes ha differe forecasig echiques lead o differe bullwhip effec accordig o lead ime ad demad process parameers. Previous sudies usually quaified bullwhip effec i wo sage supply chai icludig a reailer ad a maufacurer. So far, however, here has bee lile discussio abou hree sage supply chai. I his paper we exed demad forecasig o a hree sage serial supply chai, icludig a reailer, a maufacurer ad a supplier. The reailer observed cusomer demads, ad places a order based o los demads of cusomers. The maufacurer observed he reailer orders ad places he order o he supplier. I secio we describe he supply chai model. I secios 3 o 6 differe forecasig mehods preseed for measurig demad variabiliy. We evaluae bullwhip effec i secio 5, coclude i secio 6 ad Fuure sudies are herefore recommeded.. Problem efiiio To evaluae demad flucuaios, usually bullwhip effec is used. I his paper, a hree sage supply chai wih oe reailer, oe maufacurer ad oe supplier is cosidered. (figure1) Figure1. Supply chai model I his serial supply chai, i each period, he reailer faced o demad ad places order o he maufacurer, ad hereby he maufacurer places order o supplier. The demad i marke place ha is reailer s demad, has mea ad sadard deviaio.we are abou o evaluae he impac of forecasig o demad variaios deoed by bullwhip effec. We assume four forecasig echiques: las period, las period wih red correcio, movig average ad expoeial smoohig. I each case, he maufacurer predics fuure demad base o reailer orders, ad i a like maer he supplier forecass base o maufacure orders. 3. Las Period emad I his mehod, ad i easies case, each sage of supply chai use oly he laes period demad ad igore ay red of variaios. The reailer ad maufacurer forecas heir demads as: 48
3 J. Basic. Appl. Sci. Res., (4)47-43, 01 1 (1) Ad 1 () Ad he: I his mehod, here is o amplifyig i demad variace. Var ( ) Var( ) Var( ) (3) 4. Las period demad wih red correc I Las period mehod, here is o moivaio i predicio. A iellige mehod is usig laes red i predicio process. We cosider a coefficie, of las red, o miimize bullwhip effec. 1 ( 1 ) ( 1) 1 (4) Ad: 1 ( 1 ) ( 1) ( 1) 3 (5) B. E. Var( ) / Var( ) (6) The miimum of bullwhip effec occurs whe So, he bullwhip effec is 3/8 ad he forecas fucio is: ( ) / 1 (7) A movig average of las wo demads, ha reduce demad variaios. We exed he movig average o more previous daa i ex secio. 5. Movig Average Mehod I his mehod, we exed previous daa o las demads ad use movig average mehod sage. The reailer esimaes fuure demad by:... 1 (8) The maufacurer esimaes is fuure demad by: 1... (9) Because of s correlaios, we rewrie i i erms of ha are idepede. The we have: 3... ( 1) 1... (10) The variace of his relaio is: ( 1) Var( ) (11) 3 3 I case of = i became like las mehod ad whe > he variaios will decreased. Icreasig leads o lower flucuaios. 6. Expoeial Smoohig Mehod I his secio, expoeial smoohig mehod is used o forecas demad. 49
4 Rahimzadeh e al., 01 Ad he: k 1 ( 1 ) k (1) E( ) [1 (1 ) ] (13) Var ( ) [1 (1 ) ] /( ) (14) (6) The supplier demads forecased as: " ( 1 k (15) Because of correlaio bewee s, for derivig is mea ad variace we develop i i erms of. " (1 (1 3 3 (1 The i ca be wrie as: " Var( )/ 3 (1 (1 (1 4 k... (1... ( (1 1 1 (1 ( 1)(1 /( 4 ( 1) (1 ) (1 (1 ( 1)(1 /( 7. RESULTS Forecasig he fuure demads is impora i a supply chai. I his paper, we ivesigae he demad variaios deoed as bullwhip effec measure. The bullwhip effec calculaed as raio of he Supplier demad variace o he reailer demad variace. We evaluae four measure of bullwhip effec. I movig average mehod, whe las demads are used i predicio process, his raio is: ( 1) / 3 3 (18) The bullwhip effec ca be reduced by icreasig of. The demad variaio is demosraed i figure. (17) (16) (9) (4) Figure. Bullwhip Effec i case of movig average forecasig As icreases, i.e. more demad iformaio is used he demad variaio decreases. The bullwhip effec i case of expoeial smoohig mehod is: 430
5 J. Basic. Appl. Sci. Res., (4)47-43, 01 (1 ) ( 3)(1 ) ( 1)(1 ) ( ) [ The demad variaios showed i figure3. 1] ] (19) Figure 3. Bullwhip effec whe expoeial smoohig is used As icreases, demad variaio icreases ad decreasig lead o decreasig he demad variaios. Whe 0. 8 demad variaios has maximum level. 8. Coclusio The purpose of he curre sudy was o measure he demad variabiliy i a simple hree- sage supply chai. We used las demad, las demad wih red correcio, movig average ad expoeial smoohig mehod for forecasig he fuure demad i a serial supply chai. We use aalyical mehod o exed he model o hird sage. The mos obvious fidig o emerge from his sudy is amplifyig demad variabiliy as oe move up he supply chai. I was also show ha he more demad iformaio used o forecasig he demad, he smaller he icrease i variabiliy. The demad variaio is a icreasig fucio of he smoohig parameer. Moreover variabiliy for movig average mehod is decreasig fucio of umber of used daa. I ay case, supply chai sages mus use more demad iformaio o reduce demad variabiliy. However, his paper does o capure of some complexiies ivolved i real world. Muliple reailers ad maufacurers, i form of ework, ca be cosidered. Furhermore, i ca exed o muliple sages ad usig various forecasig mehods i various sages. REFERENCES [1] Chopra S. & Meidl P., 007. Supply Chai Maageme:Sraegy, Plaig, & Operaio, Preice Hall, 3rd Ediio. [] Forreser, J.W., Idusrial dyamics-a major breakhrough for decisio makig, Harvard Busiess Review, 36 (4), [3] Forreser, J.W., Idusrial dyamics. MIT Press,Combridge, MA.. [4] Blachard, O.J., The producio ad iveory behavior of he america auomobile idusry, Joural of Poliical Ecoomy, 91, [5] Blider, A. S., 198. Iveories ad sicky prices, America Ecoomic Review, 7,
6 Rahimzadeh e al., 01 [6] Blider, A. S., Ca he producio smoohig model of iveory behavior be saved?, Quarerly Joural of Ecoomics, 101, [7] Kha, J., Iveories ad he volailiy of producio, America Ecoomic Review, 77, [8] Serma, J.., Modelig maagerial behavior: Mispercepios of feedback i a dyamic decisio makig experime,, Maageme Sciece, 35(3), [9] Lee, H.L., Padmaabha, P.,Whag, S., 1997a. Iformaio disorio i a supply chai:the bullwhip effec. Maageme Sciece, 43(4), [10] Lee, H.L., Padmaabha, P.,Whag, S., 1997b. Bullwhip effec i a supply chai. Sloa Maageme Review, 38(3), [11] Meers, R., Quaifyig he bullwhip effec i supply chais, Joural of Operaios Maageme, 15, [11] Garaves, S.C., A sigle-iem iveory model for a o-saioary demed process, Maufacurig ad Service Operaios Maageme, 1(1), [1] Che, F., rezer, Z., Rya, J., Simchi-Levi,., 000a. Quaifyig he bullwhip effec i a simple supply chai. Maageme Sciece, 46(3), [13] Che, F., rezer, Z., Rya, J., Simchi-Levi,., 000b. The impac of expoeial smoohig forecass o he bullwhip effec. Naval Research Logisics, 47, [14] Zhag, X., 004. The impac of forecaig mehods o he bullwhip effec. I. J. of Produ Ecoomics, 88,
FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND
FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND by Wachareepor Chaimogkol Naioal Isiue of Developme Admiisraio, Bagkok, Thailad Email: [email protected] ad Chuaip Tasahi Kig Mogku's Isiue of Techology
A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo
irecció y rgaizació 48 (01) 9-33 9 www.revisadyo.com A formulaio for measurig he bullwhip effec wih spreadshees Ua formulació para medir el efeco bullwhip co hojas de cálculo Javier Parra-Pea 1, Josefa
A panel data approach for fashion sales forecasting
A pael daa approach for fashio sales forecasig Shuyu Re([email protected]), Tsa-Mig Choi, Na Liu Busiess Divisio, Isiue of Texiles ad Clohig, The Hog Kog Polyechic Uiversiy, Hug Hom, Kowloo, Hog Kog Absrac:
Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment
Hidawi Publishig Corporaio Mahemaical Problems i Egieerig Volume 215, Aricle ID 783149, 21 pages hp://dx.doi.org/1.1155/215/783149 Research Aricle Dyamic Pricig of a Web Service i a Advace Sellig Evirome
Managing Learning and Turnover in Employee Staffing*
Maagig Learig ad Turover i Employee Saffig* Yog-Pi Zhou Uiversiy of Washigo Busiess School Coauhor: Noah Gas, Wharo School, UPe * Suppored by Wharo Fiacial Isiuios Ceer ad he Sloa Foudaio Call Ceer Operaios
A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers
Ieraioal Joural of u- ad e- ervice, ciece ad Techology Vol.8, o., pp.- hp://dx.doi.org/./ijuess..8.. A Queuig Model of he -desig Muli-skill Call Ceer wih Impaie Cusomers Chuya Li, ad Deua Yue Yasha Uiversiy,
Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router
KSII RANSAIONS ON INERNE AN INFORMAION SYSEMS VOL. 4, NO. 3, Jue 2 428 opyrigh c 2 KSII ombiig Adapive Filerig ad IF Flows o eec os Aacks wihi a Rouer Ruoyu Ya,2, Qighua Zheg ad Haifei Li 3 eparme of ompuer
REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010
REVISTA INVESTIGACION OPERACIONAL VOL. 3, No., 59-70, 00 AN ALGORITHM TO OBTAIN AN OPTIMAL STRATEGY FOR THE MARKOV DECISION PROCESSES, WITH PROBABILITY DISTRIBUTION FOR THE PLANNING HORIZON. Gouliois E.
Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis
CBN Joural of Applied Saisics Vol. 4 No.2 (December, 2013) 51 Modelig he Nigeria Iflaio Raes Usig Periodogram ad Fourier Series Aalysis 1 Chukwuemeka O. Omekara, Emmauel J. Ekpeyog ad Michael P. Ekeree
4. Levered and Unlevered Cost of Capital. Tax Shield. Capital Structure
4. Levered ad levered Cos Capial. ax hield. Capial rucure. Levered ad levered Cos Capial Levered compay ad CAP he cos equiy is equal o he reur expeced by sockholders. he cos equiy ca be compued usi he
Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem
Chrisia Kalhoefer (Egyp) Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 Rakig of muually exclusive ivesme projecs how cash flow differeces ca solve he rakig problem bsrac The discussio abou he
Predicting Indian Stock Market Using Artificial Neural Network Model. Abstract
Predicig Idia Sock Marke Usig Arificial Neural Nework Model Absrac The sudy has aemped o predic he moveme of sock marke price (S&P CNX Nify) by usig ANN model. Seve years hisorical daa from 1 s Jauary
ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE
Problems ad Persecives of Maageme, 24 Absrac ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE Pedro Orí-Ágel, Diego Prior Fiacial saemes, ad esecially accouig raios, are usually used o evaluae acual
CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING
CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING Q.1 Defie a lease. How does i differ from a hire purchase ad isalme sale? Wha are he cash flow cosequeces of a lease? Illusrae.
Determinants of Public and Private Investment An Empirical Study of Pakistan
eraioal Joural of Busiess ad Social Sciece Vol. 3 No. 4 [Special ssue - February 2012] Deermias of Public ad Privae vesme A Empirical Sudy of Pakisa Rabia Saghir 1 Azra Kha 2 Absrac This paper aalyses
A New Hybrid Network Traffic Prediction Method
This full ex paper was peer reviewed a he direcio of IEEE Couicaios Sociey subjec aer expers for publicaio i he IEEE Globeco proceedigs. A New Hybrid Nework Traffic Predicio Mehod Li Xiag, Xiao-Hu Ge,
TACTICAL PLANNING OF THE OIL SUPPLY CHAIN: OPTIMIZATION UNDER UNCERTAINTY
TACTICAL PLANNING OF THE OIL SUPPLY CHAIN: OPTIMIZATION UNDER UNCERTAINTY Gabriela Ribas Idusrial Egieerig Deparme Poifical Caholic Uiversiy of Rio de Jaeiro PUC-Rio, CP38097, 22453-900 Rio de Jaeiro Brazil
http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory
VOL., NO., November ISSN XXXX-XXXX ARN Joural of Sciece a Techology - ARN Jourals. All righs reserve. hp://www.ejouralofsciece.org Moiorig of Newor Traffic base o Queuig Theory S. Saha Ray,. Sahoo Naioal
UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová
The process of uderwriig UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Kaaría Sakálová Uderwriig is he process by which a life isurace compay decides which people o accep for isurace ad o wha erms Life
Studies in sport sciences have addressed a wide
REVIEW ARTICLE TRENDS i Spor Scieces 014; 1(1: 19-5. ISSN 99-9590 The eed o repor effec size esimaes revisied. A overview of some recommeded measures of effec size MACIEJ TOMCZAK 1, EWA TOMCZAK Rece years
Kyoung-jae Kim * and Ingoo Han. Abstract
Simulaeous opimizaio mehod of feaure rasformaio ad weighig for arificial eural eworks usig geeic algorihm : Applicaio o Korea sock marke Kyoug-jae Kim * ad Igoo Ha Absrac I his paper, we propose a ew hybrid
PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES
, pp.-57-66. Available olie a hp://www.bioifo.i/coes.php?id=32 PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES SAIGAL S. 1 * AND MEHROTRA D. 2 1Deparme of Compuer Sciece,
Capital Budgeting: a Tax Shields Mirage?
Theoreical ad Applied Ecoomics Volume XVIII (211), No. 3(556), pp. 31-4 Capial Budgeig: a Tax Shields Mirage? Vicor DRAGOTĂ Buchares Academy of Ecoomic Sudies [email protected] Lucia ŢÂŢU Buchares
Improving Survivability through Traffic Engineering in MPLS Networks
Improvig Survivabiiy hrough Traffic Egieerig i MPLS Neworks Mia Ami, Ki-Ho Ho, George Pavou, ad Michae Howarh Cere for Commuicaio Sysems Research, Uiversiy of Surrey, UK Emai:{M.Ami, K.Ho, G.Pavou, M.Howarh}@eim.surrey.ac.uk
1/22/2007 EECS 723 intro 2/3
1/22/2007 EES 723 iro 2/3 eraily, all elecrical egieers kow of liear sysems heory. Bu, i is helpful o firs review hese coceps o make sure ha we all udersad wha his heory is, why i works, ad how i is useful.
Chapter 8: Regression with Lagged Explanatory Variables
Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One
APPLIED STATISTICS. Economic statistics
APPLIED STATISTICS Ecoomic saisics Reu Kaul ad Sajoy Roy Chowdhury Reader, Deparme of Saisics, Lady Shri Ram College for Wome Lajpa Nagar, New Delhi 0024 04-Ja-2007 (Revised 20-Nov-2007) CONTENTS Time
Testing the Weak Form of Efficient Market Hypothesis: Empirical Evidence from Jordan
Ieraioal Busiess ad Maageme Vol. 9, No., 4, pp. 9- DOI:.968/554 ISSN 9-84X [Pri] ISSN 9-848 [Olie] www.cscaada.e www.cscaada.org Tesig he Wea Form of Efficie Mare Hypohesis: Empirical Evidece from Jorda
The Term Structure of Interest Rates
The Term Srucure of Ieres Raes Wha is i? The relaioship amog ieres raes over differe imehorizos, as viewed from oday, = 0. A cocep closely relaed o his: The Yield Curve Plos he effecive aual yield agais
Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1
Page Chemical Kieics Chaper O decomposiio i a isec O decomposiio caalyzed by MO Chemical Kieics I is o eough o udersad he soichiomery ad hermodyamics of a reacio; we also mus udersad he facors ha gover
Modelling Time Series of Counts
Modellig ime Series of Cous Richard A. Davis Colorado Sae Uiversiy William Dusmuir Uiversiy of New Souh Wales Yig Wag Colorado Sae Uiversiy /3/00 Modellig ime Series of Cous wo ypes of Models for Poisso
Hotel Room Demand Forecasting via Observed Reservation Information
Proceedings of he Asia Pacific Indusrial Engineering & Managemen Sysems Conference 0 V. Kachivichyanuul, H.T. Luong, and R. Piaaso Eds. Hoel Room Demand Forecasing via Observed Reservaion Informaion aragain
14 Protecting Private Information in Online Social Networks
4 roecig rivae Iormaio i Olie Social eworks Jiamig He ad Wesley W. Chu Compuer Sciece Deparme Uiversiy o Calioria USA {jmhekwwc}@cs.ucla.edu Absrac. Because persoal iormaio ca be ierred rom associaios
12. Spur Gear Design and selection. Standard proportions. Forces on spur gear teeth. Forces on spur gear teeth. Specifications for standard gear teeth
. Spur Gear Desig ad selecio Objecives Apply priciples leared i Chaper 11 o acual desig ad selecio of spur gear sysems. Calculae forces o eeh of spur gears, icludig impac forces associaed wih velociy ad
Why we use compounding and discounting approaches
Comoudig, Discouig, ad ubiased Growh Raes Near Deb s school i Souher Colorado. A examle of slow growh. Coyrigh 000-04, Gary R. Evas. May be used for o-rofi isrucioal uroses oly wihou ermissio of he auhor.
The Norwegian Shareholder Tax Reconsidered
The Norwegia Shareholder Tax Recosidered Absrac I a aricle i Ieraioal Tax ad Public Fiace, Peer Birch Sørese (5) gives a i-deph accou of he ew Norwegia Shareholder Tax, which allows he shareholders a deducio
IDENTIFICATION OF MARKET POWER IN BILATERAL OLIGOPOLY: THE BRAZILIAN WHOLESALE MARKET OF UHT MILK 1. Abstract
IDENTIFICATION OF MARKET POWER IN BILATERAL OLIGOPOLY: THE BRAZILIAN WHOLESALE MARKET OF UHT MILK 1 Paulo Robero Scalco Marcelo Jose Braga 3 Absrac The aim of his sudy was o es he hypohesis of marke power
A Strategy for Trading the S&P 500 Futures Market
62 JOURNAL OF ECONOMICS AND FINANCE Volume 25 Number 1 Sprig 2001 A Sraegy for Tradig he S&P 500 Fuures Marke Edward Olszewski * Absrac A sysem for radig he S&P 500 fuures marke is proposed. The sysem
APPLICATIONS OF GEOMETRIC
APPLICATIONS OF GEOMETRIC SEQUENCES AND SERIES TO FINANCIAL MATHS The mos powerful force i he world is compoud ieres (Alber Eisei) Page of 52 Fiacial Mahs Coes Loas ad ivesmes - erms ad examples... 3 Derivaio
Vector Autoregressions (VARs): Operational Perspectives
Vecor Auoregressions (VARs): Operaional Perspecives Primary Source: Sock, James H., and Mark W. Wason, Vecor Auoregressions, Journal of Economic Perspecives, Vol. 15 No. 4 (Fall 2001), 101-115. Macroeconomericians
COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S 2 CONTROL CHART FOR THE CHANGES IN A PROCESS
COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S CONTROL CHART FOR THE CHANGES IN A PROCESS Supraee Lisawadi Departmet of Mathematics ad Statistics, Faculty of Sciece ad Techoology, Thammasat
FEBRUARY 2015 STOXX CALCULATION GUIDE
FEBRUARY 2015 STOXX CALCULATION GUIDE STOXX CALCULATION GUIDE CONTENTS 2/23 6.2. INDICES IN EUR, USD AND OTHER CURRENCIES 10 1. INTRODUCTION TO THE STOXX INDEX GUIDES 3 2. CHANGES TO THE GUIDE BOOK 4 2.1.
Ranking Optimization with Constraints
Rakig Opimizaio wih Cosrais Fagzhao Wu, Ju Xu, Hag Li, Xi Jiag Tsighua Naioal Laboraory for Iformaio Sciece ad Techology, Deparme of Elecroic Egieerig, Tsighua Uiversiy, Beijig, Chia Noah s Ark Lab, Huawei
Hourly Demand Response in Day-ahead Scheduling for Managing the Variability of Renewable Energy
Hourly emad Repoe i ay-ahead Schedulig for Maagig he Variabiliy of Reewable Eergy Hogyu Wu, Mohammad Shahidehpour, ad Ahmed Al-Abdulwahab The fir auhor i wih he Rober W. alvi Ceer for Elecriciy Iovaio
Exchange Rates, Risk Premia, and Inflation Indexed Bond Yields. Richard Clarida Columbia University, NBER, and PIMCO. and
Exchage Raes, Risk Premia, ad Iflaio Idexed Bod Yields by Richard Clarida Columbia Uiversiy, NBER, ad PIMCO ad Shaowe Luo Columbia Uiversiy Jue 14, 2014 I. Iroducio Drawig o ad exedig Clarida (2012; 2013)
Mathematical Modeling of Life Insurance Policies
Europea Joura of Busiess a Maageme ISSN -905 (Paper) ISSN -839 (Oie) o 3, No.4, 0 Mahemaica Moeig of Life Isurace Poicies Ui M. Kuub eparme of Mahemaics, Uiversiy of haka, Bagaesh [email protected] Isam
Output Analysis (2, Chapters 10 &11 Law)
B. Maddah ENMG 6 Simulatio 05/0/07 Output Aalysis (, Chapters 10 &11 Law) Comparig alterative system cofiguratio Sice the output of a simulatio is radom, the comparig differet systems via simulatio should
Time value of money Interest formulas Project evaluations Inflation and CPI Financial risk and financing
2YHUYLHZ )LQDQLDO$QDO\VLV 3ULHU Hioshi Sakamoo Humphey Isiue of ublic Affais Uivesiy of Miesoa Time value of moey Iees fomulas ojec evaluaios Iflaio ad CI iacial isk ad fiacig A5721 Moey - 1 A5721 Moey
Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 57, NO. 6, JUNE 22 553 Disribued Coaime Corol wih Muliple Dyamic Leaders for Double-Iegraor Dyamics Usig Oly Posiio Measuremes Jiazhe Li, Wei Re, Member, IEEE,
Hanna Putkuri. Housing loan rate margins in Finland
Haa Pukuri Housig loa rae margis i Filad Bak of Filad Research Discussio Papers 0 200 Suome Pakki Bak of Filad PO Box 60 FI-000 HESINKI Filad +358 0 83 hp://www.bof.fi E-mail: [email protected] Bak of Filad
Transforming the Net Present Value for a Comparable One
'Club of coomics i Miskolc' TMP Vol. 8., Nr. 1., pp. 4-3. 1. Trasformig e Ne Prese Value for a Comparable Oe MÁRIA ILLÉS, P.D. UNIVRSITY PROFSSOR e-mail: [email protected] SUMMARY Tis sudy examies e
Using Kalman Filter to Extract and Test for Common Stochastic Trends 1
Usig Kalma Filer o Exrac ad Tes for Commo Sochasic Treds Yoosoo Chag 2, Bibo Jiag 3 ad Joo Y. Park 4 Absrac This paper cosiders a sae space model wih iegraed lae variables. The model provides a effecive
Chapter 4 Return and Risk
Chaper 4 Reur ad Risk The objecives of his chaper are o eable you o:! Udersad ad calculae reurs as a measure of ecoomic efficiecy! Udersad he relaioships bewee prese value ad IRR ad YTM! Udersad how obai
A Bayesian Based Search and Classification System for Product. Information of Agricultural Logistics Information Technology
A Bayesia Based Searh ad Classifiaio Sysem for Produ Iformaio of Agriulural Logisis Iformaio Tehology Dada Li 1,Daoliag Li 1,3, Yigyi Che 1,3, Li Li 1, Xiagyag Qi 3, Yogu Zheg 1, * 1 Chia Agriulural Uiversiy,
Mobile Broadband Rollout Business Case: Risk Analyses of the Forecast Uncertainties
ISF 2009, Hong Kong, 2-24 June 2009 Mobile Broadband Rollou Business Case: Risk Analyses of he Forecas Uncerainies Nils Krisian Elnegaard, Telenor R&I Agenda Moivaion Modelling long erm forecass for MBB
THE FOREIGN EXCHANGE EXPOSURE OF CHINESE BANKS
Workig Paper 07/2008 Jue 2008 THE FOREIGN ECHANGE EPOSURE OF CHINESE BANKS Prepared by Eric Wog, Jim Wog ad Phyllis Leug 1 Research Deparme Absrac Usig he Capial Marke Approach ad equiy-price daa of 14
Estimating Non-Maturity Deposits
Proceedigs of he 9h WSEAS Ieraioal Coferece o SIMULATION, MODELLING AND OPTIMIZATION Esimaig No-Mauriy Deposis ELENA CORINA CIPU Uiversiy Poliehica Buchares Faculy of Applied Scieces Deparme of Mahemaics,
Circularity and the Undervaluation of Privatised Companies
CMPO Workig Paper Series No. 1/39 Circulariy ad he Udervaluaio of Privaised Compaies Paul Grou 1 ad a Zalewska 2 1 Leverhulme Cere for Marke ad Public Orgaisaio, Uiversiy of Brisol 2 Limburg Isiue of Fiacial
Forecasting, Ordering and Stock- Holding for Erratic Demand
ISF 2002 23 rd o 26 h June 2002 Forecasing, Ordering and Sock- Holding for Erraic Demand Andrew Eaves Lancaser Universiy / Andalus Soluions Limied Inroducion Erraic and slow-moving demand Demand classificaion
Introduction to Statistical Analysis of Time Series Richard A. Davis Department of Statistics
Iroduio o Saisial Aalysis of Time Series Rihard A. Davis Deparme of Saisis Oulie Modelig obeives i ime series Geeral feaures of eologial/eviromeal ime series Compoes of a ime series Frequey domai aalysis-he
Predicting Stock Market Index Trading Signals Using Neural Networks
Predicing Sock Marke Index Trading Using Neural Neworks C. D. Tilakarane, S. A. Morris, M. A. Mammadov, C. P. Hurs Cenre for Informaics and Applied Opimizaion School of Informaion Technology and Mahemaical
Forecasting 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
Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:
Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network
An Approach for Measurement of the Fair Value of Insurance Contracts by Sam Gutterman, David Rogers, Larry Rubin, David Scheinerman
A Approach for Measureme of he Fair Value of Isurace Coracs by Sam Guerma, David Rogers, Larry Rubi, David Scheierma Absrac The paper explores developmes hrough 2006 i he applicaio of marke-cosise coceps
Research Article Sign Data Derivative Recovery
Iteratioal Scholarly Research Network ISRN Applied Mathematics Volume 0, Article ID 63070, 7 pages doi:0.540/0/63070 Research Article Sig Data Derivative Recovery L. M. Housto, G. A. Glass, ad A. D. Dymikov
SPEC model selection algorithm for ARCH models: an options pricing evaluation framework
Applied Financial Economics Leers, 2008, 4, 419 423 SEC model selecion algorihm for ARCH models: an opions pricing evaluaion framework Savros Degiannakis a, * and Evdokia Xekalaki a,b a Deparmen of Saisics,
When Two Anomalies meet: Post-Earnings-Announcement. Drift and Value-Glamour Anomaly
Whe Two Aomalies mee: Pos-Earigs-Aouceme Drif ad Value-Glamour Aomaly By Zhipeg Ya* & Ya Zhao** This Draf: Sepember 009 Absrac I his paper, we ivesigae wo promie marke aomalies documeed i he fiace ad accouig
Effects of vendor-managed inventory on the bullwhip effect
Effecs of vendor-managed invenory on he bullwhip effec Dr. Susanne Hohmann received her maser s degree from he Ruhr Universiy of Bochum. From 2001 o 2004 she wored as a research assisan a he Insiue of
Procedia - Social and Behavioral Sciences 109 ( 2014 ) 590 594
Available olie a www.scieceirec.com ScieceDirec Proceia - Social a Behavioral Scieces 109 ( 2014 ) 590 594 2 Worl Coferece O Busiess, Ecoomics A Maageme - WCBEM2013 Aalyzig he applicaios of cusomer lifeime
Financial Data Mining Using Genetic Algorithms Technique: Application to KOSPI 200
Fiacial Daa Miig Usig Geeic Algorihms Techique: Applicaio o KOSPI 200 Kyug-shik Shi *, Kyoug-jae Kim * ad Igoo Ha Absrac This sudy ieds o mie reasoable radig rules usig geeic algorihms for Korea Sock Price
Data Analysis and Statistical Behaviors of Stock Market Fluctuations
44 JOURNAL OF COMPUTERS, VOL. 3, NO. 0, OCTOBER 2008 Data Aalysis ad Statistical Behaviors of Stock Market Fluctuatios Ju Wag Departmet of Mathematics, Beijig Jiaotog Uiversity, Beijig 00044, Chia Email:
On Motion of Robot End-effector Using The Curvature Theory of Timelike Ruled Surfaces With Timelike Ruling
O Moio of obo Ed-effecor Usig he Curvaure heory of imelike uled Surfaces Wih imelike ulig Cumali Ekici¹, Yasi Ülüürk¹, Musafa Dede¹ B. S. yuh² ¹ Eskişehir Osmagazi Uiversiy Deparme of Mahemaics, 6480-UKEY
Index arbitrage and the pricing relationship between Australian stock index futures and their underlying shares
Idex arbirage ad he pricig relaioship bewee Ausralia sock idex fuures ad heir uderlyig shares James Richard Cummigs Uiversiy of Sydey Alex Frio Uiversiy of Sydey Absrac This paper coducs a empirical aalysis
The 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
Chapter 7 Methods of Finding Estimators
Chapter 7 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 011 Chapter 7 Methods of Fidig Estimators Sectio 7.1 Itroductio Defiitio 7.1.1 A poit estimator is ay fuctio W( X) W( X1, X,, X ) of
Single-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
Pre-Suit Collection Strategies
Pre-Suit Collectio Strategies Writte by Charles PT Phoeix How to Decide Whether to Pursue Collectio Calculatig the Value of Collectio As with ay busiess litigatio, all factors associated with the process
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY AN ALTERNATIVE MODEL FOR BONUS-MALUS SYSTEM
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical ad Mathematical Scieces 2015, 1, p. 15 19 M a t h e m a t i c s AN ALTERNATIVE MODEL FOR BONUS-MALUS SYSTEM A. G. GULYAN Chair of Actuarial Mathematics
TRANSPORT ECONOMICS, POLICY AND POVERTY THEMATIC GROUP
TRANSPORT NOTES TRANSPORT ECONOMICS, POLICY AND POVERTY THEMATIC GROUP THE WORLD BANK, WASHINGTON, DC Traspor Noe No. TRN-6 Jauary 2005 Noes o he Ecoomic Evaluaio of Traspor Projecs I respose o may requess
Granger Causality Analysis in Irregular Time Series
Grager Causaliy Aalysis i Irregular Time Series Mohammad Taha Bahadori Ya Liu Absrac Learig emporal causal srucures bewee ime series is oe of he key ools for aalyzig ime series daa. I may real-world applicaios,
Chatpun Khamyat Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand [email protected]
SOLVING THE OIL DELIVERY TRUCKS ROUTING PROBLEM WITH MODIFY MULTI-TRAVELING SALESMAN PROBLEM APPROACH CASE STUDY: THE SME'S OIL LOGISTIC COMPANY IN BANGKOK THAILAND Chatpu Khamyat Departmet of Idustrial
3. Cost of equity. Cost of Debt. WACC.
Corporae Fiace [09-0345] 3. Cos o equiy. Cos o Deb. WACC. Cash lows Forecass Cash lows or equiyholders ad debors Cash lows or equiyholders Ecoomic Value Value o capial (equiy ad deb) - radiioal approach
DBIQ USD Investment Grade Corporate Bond Interest Rate Hedged Index
db Idex Developme Sepember 2014 DBIQ Idex Guide DBIQ USD Ivesme Grade Corporae Bod Ieres Rae Hedged Idex Summary The DBIQ USD Ivesme Grade Corporae Bod Ieres Rae Hedged Idex (he Idex ) is a rule based
Measuring the Downside Risk of the Exchange-Traded Funds: Do the Volatility Estimators Matter?
Proceedings of he Firs European Academic Research Conference on Global Business, Economics, Finance and Social Sciences (EAR5Ialy Conference) ISBN: 978--6345-028-6 Milan-Ialy, June 30-July -2, 205, Paper
Heuristic Approach to Inventory Control with Advance Capacity Information
Orgaizacija, Volume 42 Research papers Number 4, July-Augus 2009 OI: 10.2478/v10051-009-0010-5 Heurisic Approach o Iveory Corol wih Advace Capaciy Iformaio Marko Jakšič 1, 2, Boru Rusja 1 1 Uiversiy of
COLLECTIVE RISK MODEL IN NON-LIFE INSURANCE
Ecoomic Horizos, May - Augus 203, Volume 5, Number 2, 67-75 Faculy of Ecoomics, Uiversiy of Kragujevac UDC: 33 eissn 227-9232 www. ekfak.kg.ac.rs Review paper UDC: 005.334:368.025.6 ; 347.426.6 doi: 0.5937/ekohor30263D
MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR
MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR The firs experimenal publicaion, which summarised pas and expeced fuure developmen of basic economic indicaors, was published by he Minisry
Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.
Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised
CALCULATION OF OMX TALLINN
CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN 1. OMX Tallinn index...3 2. Terms in use...3 3. Comuaion rules of OMX Tallinn...3 3.1. Oening, real-ime and closing value of he Index...3 3.2. Index
Department of Economics Working Paper 2011:6
Deparme of Ecoomics Workig Paper 211:6 The Norwegia Shareholder Tax Recosidered Ja Söderse ad Tobias idhe Deparme of Ecoomics Workig paper 211:6 Uppsala Uiversiy April 211 P.O. Box 513 ISSN 1653-6975 SE-751
Usefulness of the Forward Curve in Forecasting Oil Prices
Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,
Section 11.3: The Integral Test
Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult
The impact of the trading systems development on bid-ask spreads
Chun-An Li (Taiwan), Hung-Cheng Lai (Taiwan)* The impac of he rading sysems developmen on bid-ask spreads Absrac Following he closure, on 30 June 2005, of he open oucry sysem on he Singapore Exchange (SGX),
Present Value Methodology
Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer
Approximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find
1.8 Approximatig Area uder a curve with rectagles 1.6 To fid the area uder a curve we approximate the area usig rectagles ad the use limits to fid 1.4 the area. Example 1 Suppose we wat to estimate 1.
