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ÇELİŞEN KRİTERLER ALTINDA BULANIKLAŞTIRILMIŞ ERP YAYILIM STRATEJİSİ SEÇİMİ YAKLAŞIMI

Year 2018, Volume: 32 Issue: 3, 807 - 823, 09.07.2018

Abstract

İmalat ve hizmet
sektöründeki organizasyonlar satınalmadan depolamaya, üretim planlamasından
maliyet hesaplamasına kadar birçok fonksiyonun entegrasyonu için Kurumsal
Kaynak Planlamasına (ERP) ihtiyaç duymaktadırlar. Şirketlerin, ERP sistemlerini
bilgi seviyeleri ile birleştirmeleri onlara yürüttükleri süreçlerde karlılık,
verimlilik ve etkinlik gibi hissedilir avantajlar sağlamaktadır. ERP yayılım
stratejisinin seçimindeki belirsizlik seviyesi nispeten yüksek olup dikkatli
analiz yapılmasını gerektirmektedir. Doğru strateji şirketlere çeşitli
avantajlar getireceği gibi, kusurlu strateji seçimi para kaybı ile
sonuçlanabilir. Bu makalede, modifiye edilmiş bulanık DEMATEL ve ortalama
çözüme olan uzaklığın değerlendirilmesinin temel alındığı (EDAs) metotları en
iyi ERP yayılım stratejisini seçmek için kullanılmıştır. Kullanılan model için
açıklayıcı bir örnek olması açısından çeşitli mobilya şirketlerinin ERP
danışmanlığını yapan şirket verilerinden faydalanılmıştır. ERP yayılım
stratejilerini derecelendirmek için dört ana kriter ve onbir alt kriter ortaya
konulmuş olup tekil-sistem, bulut-tabanlı, operasyonel, parçalı, hibrit ve
çok-seviyeli yayılım stratejileri değerlendirilmiştir. 

References

  • P.-F. Hsu, H.R. Yen, J.-C. Chung, (2015) “Assessing ERP post-implementation success at the individual level: Revisiting the role of service quality”, Information & Management, 52, p.925-942.U. Jayawickrama, S. Liu, M.H. Smith, (2016) “Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries”, Computers in Industry, 82, p.205-223.I.C. Ehie, M. Madsen, (2005) “Identifying critical issues in enterprise resource planning (ERP) implementation”, Computers in Industry, 56, p.545-557.D.E. O'Leary, (2002) “Knowledge management across the enterprise resource planning systems life cycle”, International Journal of Accounting Information Systems, 3, p.99-110.M.C. Jones, M. Cline, S. Ryan, (2006) “Exploring knowledge sharing in ERP implementation: an organizational culture framework”, Decision Support Systems, 41, p.411-434.K. Kumar, J. van Hillegersberg, (2000) “Enterprise resource planning: introduction”, Communications of the ACM, 43, p.22-26.K. Kandananond, (2014) “A roadmap to green supply chain system through enterprise resource planning (ERP) implementation”, Procedia Engineering, 69, p.377-382.F. Fui-Hoon Nah, J. Lee-Shang Lau, J. Kuang, (2001) “Critical factors for successful implementation of enterprise systems”, Business process management journal, 7, p.285-296.R. Samani, J. Reavis, B. Honan, (2014), CSA Guide to Cloud Computing: Implementing Cloud Privacy and Security, Syngress.A. Baykasoğlu, V. Kaplanoğlu, Z.D. Durmuşoğlu, C. Şahin, (2013) “Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection”, Expert Systems with Applications, 40, p.899-907.B. Sohrabi, I.R. Vanani, (2013) “Collaborative planning of ERP implementation: A design science approach”, Competition, Strategy, and Modern Enterprise Information Systems, p.130-140.A. Jakupovic, M. Pavlic, N. Vrcek, (2012) “A Proposition for Classification of Business Sectors by ERP Solutions Support”, Enterprise Information Systems and Advancing Business Solutions: Emerging Models, p. 19-39.H.-J. Li, S.-I. Chang, D.C. Yen, (2017) “Investigating CSFs for the life cycle of ERP system from the perspective of IT governance”, Computer Standards & Interfaces, 50, p.269-279.B. Aslan, M. Stevenson, L.C. Hendry, (2012) “Enterprise resource planning systems: An assessment of applicability to make-to-order companies”, Computers in Industry, 63, p.692-705.T.M. Somers, K. Nelson, (2001) “The impact of critical success factors across the stages of enterprise resource planning implementations”, System Sciences, Proceedings of the 34th Annual Hawaii International Conference on, IEEE, p.10.K.-K. Hong, Y.-G. Kim, (2002) “The critical success factors for ERP implementation: an organizational fit perspective”, Information & Management, 40, p.25-40.H.-S. Lee, P.-D. Shen, W.-L. Chih, (2004) “A fuzzy multiple criteria decision making model for software selection”, Fuzzy Systems, Proceedings 2004 IEEE International Conference on IEEE, p.1709-1713.N. Kinuthia, S. Chung, (2017) “An Empirical Study of Technological Factors Affecting Cloud Enterprise Resource Planning Systems Adoption”, Information Resources Management Journal (IRMJ), 30, p.1-22.A. Baykasoğlu, İ. Gölcük, (2017) “Development of a two-phase structural model for evaluating ERP critical success factors along with a case study, Computers & Industrial Engineering, 106, p.256-274.C.C. Claybaugh, K. Ramamurthy, W.D. Haseman, (2017) “Assimilation of enterprise technology upgrades: a factor-based study”, Enterprise Information Systems, 11, p.250-283.K. Jagoda, K. Jagoda, P. Samaranayake, P. Samaranayake, (2017) “An integrated framework for ERP system implementation”, International Journal of Accounting & Information Management, 25, p.91-109.A. Baykasoğlu, İ. Gölcük, D.E. Akyol, (2015) “A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies”, Annals of Operations Research, p.1-38.P.C. Fishburn, (1970), Utility theory for decision making, DTIC Document.R.L. Keeney, (1988) “Building models of values”, European Journal of Operational Research, 37, p.149-157.T.L. Saaty, (1980), The Analytical Hierarchy Process, Planning, Priority, Resource Allocation, RWS Publications, USAT.L. Saaty, (1996), The analytic network process: decision making with dependence and feedback; the organization and prioritization of complexity, Rws publications, USAC.-L. Hwang, K. Yoon, (1981) “Multiple attribute decision making: methods and applications a state-of-the-art survey”, Springer Science & Business Media.B. Roy, (1990) “The outranking approach and the foundations of ELECTRE methods”, Theory and decision, 31, p.49-73.S. Opricovic, G.-H. Tzeng, (2004) “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS”, European journal of operational research, 156, p.445-455.A.G. E. Fontela, (1976) “The DEMATEL observer”, DEMATEL 1976 Report, Battelle Geneva Research Center, Switzerland Geneva.G. Büyüközkan, G. Çifçi, (2012a) “A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers”, Expert Systems with Applications, 39, p.3000-3011.D. Dalalah, M. Hayajneh, F. Batieha, (2011) “A fuzzy multi-criteria decision making model for supplier selection”, Expert systems with applications, 38, p.8384-8391.T. Supeekit, T. Somboonwiwat, D. Kritchanchai, (2016) “DEMATEL-modified ANP to evaluate internal hospital supply chain performance”, Computers & Industrial Engineering, 102, p.318-330.I.-S. Chen, (2016) “A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry”, Journal of Air Transport Management, 57, p.7-18.Y.-C. Chou, C.-C. Sun, H.-Y. Yen, (2012) “Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach”, Applied Soft Computing, 12, p.64-71.M. Keshavarz Ghorabaee, E.K. Zavadskas, L. Olfat, Z. Turskis, (2015) “Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (edas)”, Informatica, 26, p.435-451.T.H. Davenport, (2000) “The future of enterprise system-enabled organizations”, Information Systems Frontiers, 2, p.163-180.T. Kalling, (2003) “ERP systems and the strategic management processes that lead to competitive advantage”, Information Resources Management Journal, 16, p.46.J.K. Nwankpa, (2015) “ERP system usage and benefit: A model of antecedents and outcomes”, Computers in Human Behavior, 45, p.335-344.E.E. Watson, H. Schneider, (1999) “Using ERP systems in education”, Communications of the AIS, 1, p.3.S. Shang, P.B. Seddon, (2002) “Assessing and managing the benefits of enterprise systems: the business manager's perspective”, Information systems journal, 12, p.271-299.E. ERP, (2014), Flexible Deployment Options with Epicor ERP, Epicor ERPG. Büyüközkan, G. Çifçi, (2012b) “A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry”, Expert Systems with Applications, 39, p.2341-2354.R. Goodman, (1988), Introduction to stochastic models, Courier Corporation.J.-S. Yao, K. Wu, (2000) “Ranking fuzzy numbers based on decomposition principle and signed distance”, Fuzzy sets and Systems, 116, p.275-288.A. Baykasoğlu, T. Göçken, V. Kaplanoğlu, (2011) “A practical approach to prioritize project activities through fuzzy ranking”, Cybernetics and Systems: An International Journal, 42, p.165-179.Z. Xu, (2009) “An automatic approach to reaching consensus in multiple attribute group decision making”, Computers & Industrial Engineering, 56, p.1369-1374.P.T. Harker, L.G. Vargas, (1987) “The theory of ratio scale estimation: Saaty's analytic hierarchy process”, Management Science, 33, p.1383-1403.

AN INTEGRATED FUZZY APPROACH FOR ERP DEPLOYMENT STRATEGY SELECTION UNDER CONFLICTING CRITERIA

Year 2018, Volume: 32 Issue: 3, 807 - 823, 09.07.2018

Abstract

Manufacturing and
service organizations are in the need of using Enterprise Resource Planning
(ERP) systems to integrate many functions from purchasing to storage and
production planning to calculation of costs. Using ERP systems by the
integration in the level of information provides companies remarkable
advantages in terms of profitability, productivity and efficiency in processes.
The level of uncertainty in the selection of ERP deployment strategies is
relatively high and needs to be carefully analyzed.  While the correct strategy may provide
various advantages to the firms, incomplete strategy may cause money loss.  In this paper, modified fuzzy DEMATEL and
evaluation based on distance from average solution (EDAs) methods are used for
choosing the best ERP deployment strategy. For the presented integrated model,
an illustrative example is conducted through an ERP consultant company working
with various furniture companies. In rating of ERP deployment strategies four
main criteria and eleven sub criteria are considered to rank Single-system,
Cloud-based, Operational, Peer, Hybrid and multi-level deployment strategies

References

  • P.-F. Hsu, H.R. Yen, J.-C. Chung, (2015) “Assessing ERP post-implementation success at the individual level: Revisiting the role of service quality”, Information & Management, 52, p.925-942.U. Jayawickrama, S. Liu, M.H. Smith, (2016) “Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries”, Computers in Industry, 82, p.205-223.I.C. Ehie, M. Madsen, (2005) “Identifying critical issues in enterprise resource planning (ERP) implementation”, Computers in Industry, 56, p.545-557.D.E. O'Leary, (2002) “Knowledge management across the enterprise resource planning systems life cycle”, International Journal of Accounting Information Systems, 3, p.99-110.M.C. Jones, M. Cline, S. Ryan, (2006) “Exploring knowledge sharing in ERP implementation: an organizational culture framework”, Decision Support Systems, 41, p.411-434.K. Kumar, J. van Hillegersberg, (2000) “Enterprise resource planning: introduction”, Communications of the ACM, 43, p.22-26.K. Kandananond, (2014) “A roadmap to green supply chain system through enterprise resource planning (ERP) implementation”, Procedia Engineering, 69, p.377-382.F. Fui-Hoon Nah, J. Lee-Shang Lau, J. Kuang, (2001) “Critical factors for successful implementation of enterprise systems”, Business process management journal, 7, p.285-296.R. Samani, J. Reavis, B. Honan, (2014), CSA Guide to Cloud Computing: Implementing Cloud Privacy and Security, Syngress.A. Baykasoğlu, V. Kaplanoğlu, Z.D. Durmuşoğlu, C. Şahin, (2013) “Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection”, Expert Systems with Applications, 40, p.899-907.B. Sohrabi, I.R. Vanani, (2013) “Collaborative planning of ERP implementation: A design science approach”, Competition, Strategy, and Modern Enterprise Information Systems, p.130-140.A. Jakupovic, M. Pavlic, N. Vrcek, (2012) “A Proposition for Classification of Business Sectors by ERP Solutions Support”, Enterprise Information Systems and Advancing Business Solutions: Emerging Models, p. 19-39.H.-J. Li, S.-I. Chang, D.C. Yen, (2017) “Investigating CSFs for the life cycle of ERP system from the perspective of IT governance”, Computer Standards & Interfaces, 50, p.269-279.B. Aslan, M. Stevenson, L.C. Hendry, (2012) “Enterprise resource planning systems: An assessment of applicability to make-to-order companies”, Computers in Industry, 63, p.692-705.T.M. Somers, K. Nelson, (2001) “The impact of critical success factors across the stages of enterprise resource planning implementations”, System Sciences, Proceedings of the 34th Annual Hawaii International Conference on, IEEE, p.10.K.-K. Hong, Y.-G. Kim, (2002) “The critical success factors for ERP implementation: an organizational fit perspective”, Information & Management, 40, p.25-40.H.-S. Lee, P.-D. Shen, W.-L. Chih, (2004) “A fuzzy multiple criteria decision making model for software selection”, Fuzzy Systems, Proceedings 2004 IEEE International Conference on IEEE, p.1709-1713.N. Kinuthia, S. Chung, (2017) “An Empirical Study of Technological Factors Affecting Cloud Enterprise Resource Planning Systems Adoption”, Information Resources Management Journal (IRMJ), 30, p.1-22.A. Baykasoğlu, İ. Gölcük, (2017) “Development of a two-phase structural model for evaluating ERP critical success factors along with a case study, Computers & Industrial Engineering, 106, p.256-274.C.C. Claybaugh, K. Ramamurthy, W.D. Haseman, (2017) “Assimilation of enterprise technology upgrades: a factor-based study”, Enterprise Information Systems, 11, p.250-283.K. Jagoda, K. Jagoda, P. Samaranayake, P. Samaranayake, (2017) “An integrated framework for ERP system implementation”, International Journal of Accounting & Information Management, 25, p.91-109.A. Baykasoğlu, İ. Gölcük, D.E. Akyol, (2015) “A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies”, Annals of Operations Research, p.1-38.P.C. Fishburn, (1970), Utility theory for decision making, DTIC Document.R.L. Keeney, (1988) “Building models of values”, European Journal of Operational Research, 37, p.149-157.T.L. Saaty, (1980), The Analytical Hierarchy Process, Planning, Priority, Resource Allocation, RWS Publications, USAT.L. Saaty, (1996), The analytic network process: decision making with dependence and feedback; the organization and prioritization of complexity, Rws publications, USAC.-L. Hwang, K. Yoon, (1981) “Multiple attribute decision making: methods and applications a state-of-the-art survey”, Springer Science & Business Media.B. Roy, (1990) “The outranking approach and the foundations of ELECTRE methods”, Theory and decision, 31, p.49-73.S. Opricovic, G.-H. Tzeng, (2004) “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS”, European journal of operational research, 156, p.445-455.A.G. E. Fontela, (1976) “The DEMATEL observer”, DEMATEL 1976 Report, Battelle Geneva Research Center, Switzerland Geneva.G. Büyüközkan, G. Çifçi, (2012a) “A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers”, Expert Systems with Applications, 39, p.3000-3011.D. Dalalah, M. Hayajneh, F. Batieha, (2011) “A fuzzy multi-criteria decision making model for supplier selection”, Expert systems with applications, 38, p.8384-8391.T. Supeekit, T. Somboonwiwat, D. Kritchanchai, (2016) “DEMATEL-modified ANP to evaluate internal hospital supply chain performance”, Computers & Industrial Engineering, 102, p.318-330.I.-S. Chen, (2016) “A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry”, Journal of Air Transport Management, 57, p.7-18.Y.-C. Chou, C.-C. Sun, H.-Y. Yen, (2012) “Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach”, Applied Soft Computing, 12, p.64-71.M. Keshavarz Ghorabaee, E.K. Zavadskas, L. Olfat, Z. Turskis, (2015) “Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (edas)”, Informatica, 26, p.435-451.T.H. Davenport, (2000) “The future of enterprise system-enabled organizations”, Information Systems Frontiers, 2, p.163-180.T. Kalling, (2003) “ERP systems and the strategic management processes that lead to competitive advantage”, Information Resources Management Journal, 16, p.46.J.K. Nwankpa, (2015) “ERP system usage and benefit: A model of antecedents and outcomes”, Computers in Human Behavior, 45, p.335-344.E.E. Watson, H. Schneider, (1999) “Using ERP systems in education”, Communications of the AIS, 1, p.3.S. Shang, P.B. Seddon, (2002) “Assessing and managing the benefits of enterprise systems: the business manager's perspective”, Information systems journal, 12, p.271-299.E. ERP, (2014), Flexible Deployment Options with Epicor ERP, Epicor ERPG. Büyüközkan, G. Çifçi, (2012b) “A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry”, Expert Systems with Applications, 39, p.2341-2354.R. Goodman, (1988), Introduction to stochastic models, Courier Corporation.J.-S. Yao, K. Wu, (2000) “Ranking fuzzy numbers based on decomposition principle and signed distance”, Fuzzy sets and Systems, 116, p.275-288.A. Baykasoğlu, T. Göçken, V. Kaplanoğlu, (2011) “A practical approach to prioritize project activities through fuzzy ranking”, Cybernetics and Systems: An International Journal, 42, p.165-179.Z. Xu, (2009) “An automatic approach to reaching consensus in multiple attribute group decision making”, Computers & Industrial Engineering, 56, p.1369-1374.P.T. Harker, L.G. Vargas, (1987) “The theory of ratio scale estimation: Saaty's analytic hierarchy process”, Management Science, 33, p.1383-1403.
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Details

Primary Language English
Journal Section Makaleler
Authors

Burak Erkayman

Masoud Khorshidi This is me

Bilal Usanmaz

Publication Date July 9, 2018
Published in Issue Year 2018 Volume: 32 Issue: 3

Cite

APA Erkayman, B., Khorshidi, M., & Usanmaz, B. (2018). AN INTEGRATED FUZZY APPROACH FOR ERP DEPLOYMENT STRATEGY SELECTION UNDER CONFLICTING CRITERIA. Atatürk Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 32(3), 807-823.

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