Decision Science Letters

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1 Decso Scece Letters 1 (2012) Cotets sts avaabe at GrowgScece Decso Scece Letters hoepage: A Fuzzy-MOORA approach for ERP syste seecto Prasad Karade a ad Shakar Chakraborty b* a Mechaca Egeerg Departet, Goveret Poytechc, Muba , Maharashtra, Ida b Departet of Producto Egeerg, Jadavpur Uversty, Kokata , Ida A R T I C L E I N F O A B S T R A C T Artce hstory: Receved Jue 9, 2012 Accepted 5 Juy 2012 Avaabe oe Juy Keywords: ERP syste MOORA ethod Fuzzy theory Traguar ebershp fucto I today s goba ad dyac busess evroet, aufacturg orgazatos face the treedous chaege of expadg arkets ad eetg the custoer expectatos. It copes the to ower tota cost the etre suppy cha, shorte throughput te, reduce vetory, expad product choce, provde ore reabe devery dates ad better custoer servce, prove quaty, ad effcety coordate dead, suppy ad producto. I order to accopsh these objectves, the aufacturg orgazatos are turg to eterprse resource pag (ERP) syste, whch s a eterprse-wde forato syste to terace a the ecessary busess fuctos, such as product pag, purchasg, vetory cotro, saes, faca ad hua resources to a sge syste havg a shared database. Thus to survve the goba copettve evroet, peetato of a sutabe ERP syste s adatory. However, seectg a wrog ERP syste ay adversey affect the aufacturg orgazato s overa perforace. Due to tatos avaabe resources, copexty of ERP systes ad dversty of ateratves, t s ofte dffcut for a aufacturg orgazato to seect ad sta the ost sutabe ERP syste. I ths paper, two ERP syste seecto probes are soved usg fuzzy ut-objectve optzato o the bass of rato aayss (MOORA) ethod ad t s observed that both the cases, SAP s the best souto Growg Scece Ltd. A rghts reserved. 1. Itroducto Eterprse resource pag (ERP) s a coprehesve tegrated forato syste coprsg severa cofgurabe odues to autoate the fow of atera, forato ad faca resources aog a the fuctos wth a aufacturg orgazato o a coo database. Besdes tegrato, ts a a s to ehace decso support, reduce asset costs, receve ore accurate ad tey forato, ad atta hgher fexbty wth creased custoer satsfacto. To survve the goba copettve evroet, every orgazato ow fees the eed to auget a sutabe ERP syste ts preset operatoa structure. Athough peetg a ERP syste s cost-extesve ad te-cosug task, ts beefts are worthwhe. Wth carefu seecto of a ERP syste, a * Correspodg author. E-a addresses: s_chakraborty00@yahoo.co. (S. Chakraborty) 2012 Growg Scece Ltd. A rghts reserved. do: /j.ds

2 12 aufacturg orgazato ca expect to acheve sgfcat advatages, cudg draatc crease resposveess, productvty, o-te shpet ad saes, as we as decreases ead te, purchase cost, quaty probe ad vetory. Faure seectg a approprate ERP syste ay ead to faure of the project or the orgazato s perforace w get weakeed. Nowadays, ost of the aufacturg orgazatos do ot oy peet ERP systes theseves, but aso expect to have the fu support of ERP software deveopers after staato, because ERP software s a expesve too ad requres we-defed cotrbutos betwee the aufacturg orgazato ad a deveoper or ts vedor/cosutat fr. O the other had, a ERP software arket caot fuy eet the eeds ad expectatos of orgazatos, because every orgazato rus ts ow busess wth dfferet strateges ad goas. ERP vedors/deveopers use dfferet hardware patfors, databases ad operato systes, ad soe ERP software s oy copatbe wth soe orgazatos databases ad operato systes. However, ay aufacturg orgazatos sta ther ERP systes hurredy wthout fuy uderstadg the pcatos for ther busess or the eed for copatbty wth overa orgazatoa goas ad strateges. Surprsgy, gve the sgfcat vestet resources ad te, ay orgazatos dd ot acheve success ERP peetato. It s estated that the faure rate of ERP peetato rages fro 40% to 60% or hgher (Naze et a., 2012). Therefore, the seecto process for fdg out the ost satsfyg ERP software aog a set of feasbe ateratves arket shoud be acheved usg oe of the prove ut-crtera decsoakg (MCDM) ethods. By foowg a MCDM-based ethodoogy, the decso aker shoud be abe to stregthe the seecto decso wth respect to justfabty, accoutabty ad reasoabty, whch are reguary see as pre-requstes of copex ad rsky decsos. I ths paper, the appcato of fuzzy ut-objectve optzato o the bass of rato aayss (MOORA) ethod s proposed to choose the best ERP systes for two aufacturg orgazatos. It s aso proved that fuzzy MOORA ethod s a spe, easy to uderstad ad accurate too for sovg decsoakg probes havg precse ad vague evauato data. 2. Lterature revew Shyur (2003) deveoped a aaytc etwork process (ANP)-based four-step se-structured ethod for ERP syste evauato havg terdepedecy reatos aog the cosdered utpe crtera. We ad Wag (2004) preseted a coprehesve fraework for cobg objectve data obtaed fro extera professoa reports ad subjectve data accuuated fro tera tervews wth vedors to seect a sutabe ERP project. Berroder ad Mtöher (2005) observed a crease awareess of MCDM ethods the cotext of ERP project seecto ad cocuded that athough the ERP seecto decso probe woud see to be structured, fora MCDM ethods woud be qute hepfu to sove that decso-akg probe. We et a. (2005) preseted a coprehesve ethod for seectg a sutabe ERP syste based o a fraework whch coud costruct the objectves of ERP seecto to support the busess goas ad strateges of a orgazato, detfy the approprate attrbutes ad set up a cosstet evauato stadard for factatg a group decso process. Le ad Lag (2005) proposed a three-phase ERP seecto fraework usg fuzzy aaytc herarchy process (FAHP) ad observed that cost was the ost portat factor affectg the ERP syste seecto decso. Lao et a. (2007) proposed a sarty degree-based agorth to aggregate the objectve forato about ERP systes fro soe extera professoa orgazatos, whch ght be expressed by dfferet gustc ters. The cosstecy ad cosstecy dces were defed by cosderg the subjectve forato obtaed fro tera tervews wth the ERP vedors, ad a ear prograg ode was estabshed for seectg the ost sutabe ERP syste. Ayağ ad Özder (2007) apped a fuzzy exteso of ANP ethod for seectg a sutabe ERP syste whe cosderg varous teractos, depedeces ad feedback betwee hgher- ad ower-eve eeets the decso-akg process. Lag ad Le (2007) preseted a practca procedure whe cobg both the ISO 9126 stadard ad FAHP approach to optze the ERP seecto probes. Le ad Cha (2007) proposed a FAHP ethod to deveop a

3 P. Karade ad S. Chakraborty / Decso Scece Letters 2 (2012) 13 seecto ode for ERP syste. Karaarsa ad Gudogar (2008) aed to seect the ost approprate ERP software fro two eected caddates usg AHP ethod. Karsak ad Özogu (2009) proposed a tegrated decso fraework for ERP software seecto based o quaty fucto depoyet, fuzzy ear regresso ad zero-oe goa prograg ethods. It was observed that the deveoped ethodoogy woud appear as a soud vestet decso-akg too for ERP systes as we as other forato systes. Yazga et a. (2009) desged a artfca eura etwork-based ode ad traed wth ANP order to cacuate prorty vaues to seect the best ERP software. Cebec (2009) preseted a approach to seect a sutabe ERP syste for a texte dustry ad used FAHP ethod to copare the perforace of ERP syste soutos. Out ad Efedg (2010) apped AHP ethod ad ts fuzzy exteso to obta ore decsve judgets by prortzg crtera ad assgg weghts to the ERP syste ateratves. Forsud ad Josso (2010) studed the effects of decsos ade the ERP syste fecyce phases o suppy cha perforace aageet. Asgar et a. (2011) troduced a coprehesve fraework for seectg ERP syste usg fuzzy theory ad fuzzy MCDM ethods. Nkjoo et a. (2011) epoyed decso techques ad cobed wth goa prograg to choose a approprate ERP syste for a partcuar aufacturg orgazato. Rouyedegh ad Erka (2011) preseted a coprehesve fraework for seectg the best suted ERP syste usg AHP ethod. It coud systeatcay costruct the objectves of a ERP syste seecto to support the busess goas ad strateges of the orgazato. Khaed ad Idrss (2011) addressed the questo of how to choose a ERP souto that woud best sut a gve sa ad edu eterprse. Choquet tegra was troduced as a ew teratve earg-based approach dested to ake eghteed decsos through the cosderato of terdepedeces aog the adopted seecto crtera. Huqu ad Guag (2012) deveoped a ove approach whe tegratg AHP ad rough set theory for ERP software seecto, ad apped fuzzy techque for order preferece by sarty to dea souto (FTOPSIS) ethod to obta fa rakg of the ERP software ateratves. Athough the earer researchers have focused ther atteto o seectg the ost sutabe ERP systes usg copex atheatca toos, a eed s st fet to appy a spe ad easy uderstadabe MCDM ethod to dea wth the ERP syste seecto probes. 3. Fuzzy MOORA ethod The ethod of ut-objectve optzato o the bass of rato aayss (MOORA) was troduced by Brauers ad Zavadskas (2006). Due to ts spcty ad coprehesveess, t has aready bee successfuy apped aufacturg (Chakraborty, 2010), costructo egeerg ad aageet (Kracka et a., 2010; Brauers et a., 2008; Brauers et a., 2008), ad ecoocs (Brauers &Gevcous, 2009; Brauers & Zavadskas, 2010). MOORA s the process of sutaeousy optzg two or ore cofctg attrbutes (objectves) subject to certa costrats. I a decsoakg probe, the vaues of these objectves are easured for every decso ateratve, ad ths provdes the bass of coparso of choces ad cosequety factates the seecto of the best (satsfactory) opto. Therefore, ut-objectve optzato techques see to be a approprate too for rakg or seectg oe or ore ateratves fro a set of feasbe optos based o utpe, usuay cofctg attrbutes. It has bee aready observed that MOORA ethod s very spe, stabe ad robust, ad t requres u atheatca cacuatos ad coputatoa te (Chakraborty, 2010; Brauers & Zavadskas, 2012). I MOORA ethod, the overa perforace of each ateratve s cacuated as the dfferece betwee sus of ts orazed perforaces for beefca ad o-beefca crtera, usg the foowg expresso: y g * x j 1 j g + 1 x * (1)

4 14 where x * s a desoess uber the terva of [0,1] represetg the orazed perforace of th ateratve o j th crtero, g s the uber of beefca crtera, ( g) s the uber of obeefca crtera ad y s the overa perforace of th ateratve wth respect to a the crtera. Whe prorty weghts are cosdered to gve reatve portace of oe crtero over the other, Eq. (1) ca be rewrtte as: y g * w x j j 1 j g+ 1 w x j * (j 1,2,,) (2) where w j s the weght of j th crtero whch ca be detered by AHP or etropy ethod. The best ateratve has the hghest y vaue, whe the owest y vaue represets the worst ateratve. Fuzzy set theory provdes a atheatca fraework whch vague coceptua pheoea ca be precsey studed (Zadeh, 1965). It has aready bee prove to be a vauabe too to stregthe the coprehesveess ad reasoabeess of the decso-akg process. It s a portat ethod to easure the abguty of cocepts that are assocated wth the decso aker s subjectve judgets, cudg gustc ters, satsfacto degree ad portace degree that are ofte vague. A fuzzy set Ā a uverse of dscourse X s characterzed by a ebershp fucto μ Ā (x) whch assocates wth each eeet x X a rea uber the terva [0,1]. The fucto vaue μ Ā (x) s tered as the grade of ebershp of x Ā. The ost cooy used fuzzy ubers are traguar ad trapezoda fuzzy ubers. Traguar fuzzy ubers are ofte used appcatos because of ther cacuato easess ad added features. The traguar fuzzy ubers ca be deoted as Ā (,, ) ad the ebershp fucto of fuzzy uber Ā s defed by the foowg equato. μ Ā (x) 0 x x 0 x <, x, x, x > (3) Fg. 1 exhbts a traguar fuzzy ebershp fucto. I ths ebershp fucto, the trages are copeted wth the u ad axu pots attached to the adjacet ceter. It s spaced equay accordg to the u ad axu vaues of the put data. Fg. 1. A traguar fuzzy ebershp fucto I order to take fu advatage of MOORA ethod for sovg the decso-akg probes wth precse ad vague data, a ew varat of MOORA ethod,.e. fuzzy MOORA s proposed here whch cossts of the foowg procedura steps.

5 P. Karade ad S. Chakraborty / Decso Scece Letters 2 (2012) 15 Step 1: Based o the vaued opos of the decso akers, deveop the fuzzy decso atrx where each crtero vaue s easured usg traguar ebershp fucto. [ x, x, x ] [ x, x, x ]... [ x, x, x ] [ x, x, x ] [ x, x, x ]... [ x, x, x ] X (4) [ x, x, x ] [ x, x, x ]... [ x, x, x ] where x, x ad x respectvey deote the ower, dde ad upper vaues of a traguar ebershp fucto for th ateratve wth respect to j th crtero. Step 2: Noraze the fuzzy decso atrx usg vector orazato procedure. For ths, the foowg equatos are adopted (Staujkc et a., 2012). r 1 [( x ) 2 x + ( x 2 2 ) + ( x ) ] (5) r 1 [( x ) 2 x + ( x 2 2 ) + ( x ) ] (6) r 1 [( x ) 2 x + ( x 2 2 ) + ( x ) ] (7) Step 3: Detere the weghted orazed fuzzy decso atrx epoyg the foowg equatos: v w r (8) j v w r (9) j v w r (10) j For the deveopet of the weghted orazed fuzzy decso atrx, fuzzy crtera weghts ay aso be used, but ths eads to ore copex cacuatos. Step 4: Cacuate the overa ratgs of beefca ad o-beefca crtera for each ateratve. For beefca crtera, the overa ratgs of a ateratve for ower, dde ad upper vaues of the traguar ebershp fucto are coputed as foows: s + j 1 v j J ax (11) s + j 1 v j J ax (12)

6 16 s + j 1 v j J ax (13) O the other had, for o-beefca crtera, the overa ratgs of a ateratve are cacuated as foows, s j 1 v j J (14) s j 1 v j J (15) s j 1 v j J (16) Step 5: Detere the overa perforace dex (S ) for each ateratve. For ths, the defuzzed vaues of the overa ratgs for beefca ad o-beefca crtera for each ateratve are coputed usg the vertex ethod (Huqu & Guag, 2012), as foows, S ( s +, s ) [( s s ) + ( s s ) + ( s s ) ] (17) Step 6: Based o the descedg vaues of overa perforace dex, rak the ateratves fro the best to the worst. The ateratve wth the hghest overa perforace dex s the ost favorabe choce. 4. Iustratve exapes Whe seectg the best ERP syste souto for a specfc aufacturg orgazato, the decso aker has to take to accout varous crtca factors fuecg ts successfu depoyet. Those portat factors are ested detas here--uder. a) Corporate vso ) What ajor orgazatoa chages has the ERP vedor/deveoper ade recety? ) What ajor product chages does the orgazato foresee or has paed ear future? ) What eve of voveet does the executve staffs have the orgazato s day operatos? b) Techoogy ad syste archtecture ) Is the techoogy robust eough to hade curret ad future trasactos? ) Is the syste s speed acceptabe for day use? ) Is source code provded so that custozatos or odfcatos ca be easy ade? v) Does the ERP syste aow a uber of database ad server optos? v) Does the ERP syste support ut-orgazato, ut-dvso ad ut-ocatoa evroets? c) Product fuctoaty ) Does ths ERP syste eet the overa requreets?

7 P. Karade ad S. Chakraborty / Decso Scece Letters 2 (2012) 17 ) Is the eu structure easy to foow ad uderstad? ) Are the hep fes easy assessabe ad easy for users to coprehed? v) Ca the user custoze hep fes to eet the orgazatoa eeds? v) Is the product copcated or too sophstcated for the average user? v) Are there usefu stadard reports avaabe? d) Product cost ) Are the cese costs justfed gve the offered fuctoates? ) Is the requred database affordabe? ) Are aua ateace charges reasoabe? v) What s the true peetato servce-to-software rato for the orgazato? v) How qucky ca payback be receved? e) Servce ad support ) Is the tea cofortabe wth the saes process ad represetatve? ) Ca the ERP vedor provde a copete tur-key souto? ) What type of project aageet s avaabe? v) What type of trag s avaabe? v) What s the average techca support staff s experece eve ad teure the orgazato? v) How quck ca the o-crtca software bugs be fxed? v) Does the ERP vedor offer busess process re-egeerg as part of the peetato process? v) Does the ERP syste vedor have experece other dustres? f) Vedor ogevty ) How ay years has the orgazato bee actvey egaged ths software dustry? ) Whe was the product s frst reease? ) Has the orgazato bee cosstety proftabe over the years? v) Has there bee recet turover the aageet staff? v) Are the custoer refereces avaabe? 4.1 Exape 1 I ths exape, Huqu ad Guag (2012) cosdered four ERP syste seecto frs,.e. CA- MANMAN/X, BAAN, SSA-BPCS ad SAP R/3, ad observed that apart fro cost, ow rsk, hgh quaty, fawess product, hgh reabty ad devery-o-te woud be the key dcators for evauatg the perforace of a ERP syste seecto fr. Fve portat crtera for software seecto were detfed as rsk (R), quaty (Q), effectveess (E), effcecy (EF) ad user satsfacto (US), ad AHP ethod was the epoyed to detere the weghts of those fve crtera as w R 0.364, w Q 0.271, w E 0.203, w EF ad w US Usg traguar fuzzy ebershp fucto, the fuzzy decso atrx for ths ERP syste seecto probe was deveoped, as gve Tabe 1 ad fuzzy TOPSIS ethod was apped to detere the best ateratve as SAP R/3, whereas, SSA-BPCS was the worst chose ERP syste.

8 18 For sovg the sae probe usg fuzzy MOORA ethod, at frst, the fuzzy decso atrx cotag the crtera vaues expressed traguar fuzzy ubers, s orazed usg Eqs. (5)- (7). Ths orazed fuzzy decso atrx s show Tabe 2. Norazato s esseta for a MCDM ethod to ake the eeets of the decso atrx desoess ad coparabe. Tabe 3 exhbts the weghted orazed fuzzy decso atrx whch s obtaed after utpyg the orazed fuzzy crtera vaues wth the correspodg vaues of crsp crtera weghts. Aog these fve seecto crtera, rsk s the oy o-beefca attrbute where ower vaue s preferred, ad o the other had, hgher vaues are aways desred for quaty, effectveess, effcecy ad user satsfacto. Now usg Eqs. (11)-(13), the overa ratgs of beefca crtera for the cosdered ateratves are cacuated. Sary, appyg Eqs. (14)-(16), the overa ratgs of o-beefca crtera for the ateratves are coputed. These overa ratgs for both beefca ad o-beefca crtera for the four ateratve ERP systes are gve Tabe 4. Now, the vertex ethod s epoyed to defuzzfy the overa ratgs for beefca ad o-beefca crtera so as to derve the vaues of overa perforace dex for a the ateratves. It s observed that the hghest vaue of overa perforace dex occurs for ateratve 4, whch sgfes that SAP R/3 s the best ERP syste to be peeted. Ateratve 3 (SSA-BPCS) s the worst favored ERP syste. CA- MANMAN/X ad BAAN are the teredate choces. Huqu ad Guag (2012) aso obtaed the sae rakgs for these ERP systes usg fuzzy TOPSIS ethod. Tabe 1 Fuzzy ERP syste seecto decso atrx for exape 1 ERP syste Rsk Quaty Effectveess Effcecy User satsfacto A 1 (0.6,0.8,1) (0.6,0.8,1) (0.4,0.6,0.8) (0.2,0.4,0.6) (0.8,1,1) A 2 (0.4,0.6,0.8) (0.6,0.8,1) (0.4,0.6,0.8) (0.8,1,1) (0.2,0.4,0.6) A 3 (0.8,1,1) (0.4,0.6,0.8) (0.6,0.8,1) (0,0.2,0.4) (0,0.2,0.4) A 4 (0.2,0.4,0.6) (0.4,0.6,0.8) (0.4,0.6,0.8) (0.6,0.8,1) (0.4,0.6,0.8) Tabe 2 Norazed fuzzy decso atrx for exape 1 ERP Rsk Quaty Effectveess Effcecy User satsfacto syste A 1 (0.238,0.317,0.396) (0.239,0.318,0.398) (0.171,0.256,0.342) (0.086,0.172,0.258) (0.375,0.468,0.468) A 2 (0.159,0.238,0.317) (0.239,0.318,0.398) (0.171,0.256,0.342) (0.344,0.430,0.430) (0.094,0.187,0.281) A 3 (0.317,0.396,0.396) (0.159,0.239,0.318) (0.256,0.342,0.427) (0,0.086,0.172) (0,0.094,0.187) A 4 (0.079,0.159,0.238) (0.159,0.239,0.318) (0.171,0.256,0.342) (0.258,0.344,0.430) (0.187,0.281,0.375) Tabe 3 Weghted orazed fuzzy decso atrx for exape 1 ERP Rsk Quaty Effectveess Effcecy User satsfacto syste A 1 (0.087,0.115,0.144) (0.065,0.086,0.109) (0.035,0.052,0.069) (0.008,0.016,0.024) (0.025,0.032,0.032) A 2 (0.058,0.087,0.115) (0.065,0.086,0.109) (0.035,0.052,0.069) (0.032,0.040,0.040) (0.006,0.013,0.019) A 3 (0.115,0.144,0.144) (0.043,0.065,0.086) (0.052,0.069,0.087) (0,0.008,0.016) (0,0.006,0.013) A 4 (0.029,0.058,0.087) (0.043,0.065,0.086) (0.035,0.052,0.069) (0.024,0.032,0.040) (0.013,0.019,0.025) Tabe 4 Rakg of ERP systes for exape 1 ERP syste S + S - u u S Rak A A A A

9 P. Karade ad S. Chakraborty / Decso Scece Letters 2 (2012) Exape 2 After thoroughy vestgatg the effects of a the possbe crtera o the fa ERP syste seecto decso, Nkjoo et a. (2011) shortsted fve crtera,.e. busess voue (BV), rate of arket share (RMS), custozato (C), user terface (UI), ad support servces ad after sae (SSS) accordg to ther reatve portace. Three ateratve ERP systes,.e. SAP, ORACLE, AXAPTA were cosdered, ad three experts faar wth ERP systes were asked to judge ad aayze about each crtero s satsfacto eve by each ateratve. They were aso asked to detere the portace of each crtero usg aguage varabes. They expaed ther opos fuzzy ubers as expressed trapezod fuzzy ebershp fuctos. These trapezod fuzzy ubers are trasfored to traguar fuxxy ebershp fuctos, as gve Tabe 5. The, the aguage varabes assocated wth the correspodg crtera weghts are chaged to crsp vaues, ad are orazed as w BV , w RMS , w C , w UI ad w SSS Here, axu weghts are aocated to rate of arket share, ad support servces ad after sae crtera. It s terestg to ote that a these fve crtera are beefca ature where hgher vaues are desred. Usg fuzzy TOPSIS ethod, Nkjoo et a. (2011) detfed SAP as the best ERP syste to be peeted for the cosdered orgazato. Whe ths ERP syste seecto probe s soved usg fuzzy MOORA ethod, the fuzzy decso atrx s frst orazed, as gve Tabe 6. After that, the weghted orazed fuzzy decso atrx s obtaed ad s exhbted Tabe 7. As a the fve crtera are beefca ature, the overa ratgs of beefca crtera for each ateratve are oy requred to be cacuated, as show Tabe 8. These overa ratgs of beefca crtera are ow defuzzfed usg Eq. (17) to obta the correspodg overa perforace dces for the three ERP syste ateratves. Based o these overa perforace dex vaues, the ateratves ERP systes are raked ad t s cear that SAP eerges out as the best ERP syste, foowed by ORACLE. Axapta obtas the ast rak. It s worthwhe to eto here that Nkjoo et a. (2011) aso derved the sae rakgs for these three ERP syste ateratves. These resuts evdety suggest the feasbty, usefuess ad accuracy of fuzzy MOORA ethod sovg ERP syste seecto probes. Tabe 5 Fuzzy decso atrx for ERP syste seecto probe for exape 2 ERP syste BV RMS C UI SSS ORACLE (7,8.8,10) (7,8.5,10) (5,7,9) (7,8.5,10) (7,8.5,10) SAP (7,9,10) (5,8.5,10) (5,7.5,9) (7,8.5,10) (7,9,10) Axapta (1,5.5,9) (2,4,6) (1,4.5,8) (4,7,10) (2,4,6) Tabe 6 Norazed Fuzzy decso atrx for exape 2 ERP BV RMS C UI SSS syste ORACLE (0.293,0.369,0.419) (0.321,0.390,0.459) (0.249,0.349,0.449) (0.284,0.345,0.406) (0.311,0.377,0.444) SAP (0.293,0.377,0.419) (0.229,0.390,0.459) (0.249,0.374,0.449) (0.284,0.345,0.406) (0.311,0.399,0.444) Axapta (0.042,0.231,0.377) (0.092,0.184,0.275) (0.050,0.224,0.399) (0.162,0.284,0.406) (0.089,0.178,0.266) Tabe 7 Weghted Fuzzy decso atrx for exape 2 ERP BV RMS C UI SSS syste ORACLE (0.053,0.067,0.076) (0.069,0.083,0.098) (0.052,0.072,0.093) (0.052,0.063,0.075) (0.066,0.080,0.094) SAP (0.053,0.069,0.076) (0.049,0.083,0.098) (0.052,0.078,0.093) (0.052,0.063,0.075) (0.066,0.084,0.094) Axapta (0.008,0.042,0.069) (0.019,0.039,0.059) (0.010,0.046,0.083) (0.030,0.052,0.075) (0.019,0.038,0.056)

10 20 Tabe 8 Rakg of ERP systes for exape 2 ERP syste S + u S Rak ORACLE SAP Axapta It s otced that SAP, started 1972, s the word s argest ter-eterprse software orgazato ad the word s fourth argest depedet software supper. The orga SAP teds to provde custoers wth the abty to teract wth a coo corporate database for a coprehesve rage of appcatos. Graduay, the appcatos have bee assebed, ad today ay orgazatos, cudg IBM ad Mcrosoft, are usg SAP products to ru ther ow busesses. SAP appcatos, but aroud ther atest R/3 syste, provde the capabty to aage faca, asset ad cost accoutg, producto operatos ad ateras, persoe, pats, ad archved docuets. Hece, eergece of SAP as the best ERP syste for both the cases ca be justfed to be qute obvous. 5. Cocusos I the preset day goba copettve evroet, the aufacturg orgazatos eed to peet sutabe ERP systes for ther survva ad acheve copettve advatage over ther rvas. Evauato ad seecto of a ERP syste for a specfc aagera fucto s ofte observed to be a cost-tesve ad te-cosug task. O the other had, the success of the aufacturg orgazato etrey depeds o takg the fu advatage of the staed ERP syste. Soetes, the forato reated to the perforace of avaabe ERP systes wth respect to varous decdg factors are vague ad precse, ad ca be sutaby expressed traguar fuzzy ubers. The choce of a sutabe ERP syste fro a poo of feasbe ateratves s usuay suppeeted by fuzzy MCDM approaches. I ths paper, fuzzy ut-objectve optzato o the bass of rato aayss ethod s adopted to seect the best ERP systes for two orgazatos ad t s observed that both the cases, SAP s the best choce. As the proposed approach s spe, easy to uderstad ad accurate, t ca aso be successfuy apped to other aagera ad strategc decso-akg stuatos. Refereces Asgar, M., Aahverdoo, M., & Sakha, S. (2011). A coprehesve fraework for seectg the ERP syste Ira Khodro copay. Europea Joura of Ecoocs, Face ad Adstratve Sceces, 38, Ayağ, Z., & Özder, G. (2007). A teget approach to ERP software seecto through fuzzy ANP. Iteratoa Joura of Producto Research, 45(10), Berroder, E.W.N., & Mtöher, J. (2005). Characterstcs of the utpe attrbute decso akg ethodoogy eterprse resource pag software decsos. Coucatos of the IIMA, 5(1), Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA ethod ad ts appcato to prvatzato trasto ecooy. Cotro ad Cyberetcs, 35(2), Brauers, W.K.M., Zavadskas, E.K., Pedschus, F., & Tursks, Z. (2008), Mut-objectve decsoakg for road desg. Trasport, 23(3), Brauers, W.K.M., Zavadskas, E.K., Tursks, Z., & Vutee, T. (2008). Mut-objectve cotractor s rakg by appyg the MOORA ethod. Joura of Busess Ecoocs ad Maageet, 9(4), Brauers, W.K.M., & Gevcus, R. (2009). Robustess regoa deveopet studes: The case of Lthuaa. Joura of Busess Ecoocs ad Maageet, 10(2),

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