Research Article
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Evaluation of ERP softwares with fuzzy AHP integrated TODIM method

Year 2018, Volume: 22 Issue: 5, 1351 - 1370, 01.10.2018
https://doi.org/10.16984/saufenbilder.380388

Abstract

Since enterprise
resource planning process is important for growing and developed private
companies due to productivity, in the business world it has found effectively its
place. ERP system softwares those are fundamental interest area of industrial
engineering, have gained much importance in recent years according to doing the
jobs productivity needs. In this study, a solution method is proposed for a
private organization that desires to re-evaluate the distributed ERP softwares
of it owns. For this, most used multi-criteria decision-making method named analytic
hieararchy process is utilized for determination of criteria weights. In
addition a risk involving process called TODIM (an MCDM method), which is based
on prospect theory, was chosen for risky and dynamic conditions in the study.
Since the Nobel prize-winning prospect theory including risk avoidance and risk
taking situations in decision-making behaviors has been integrated in TODIM's
decision-making process. This process involves ambiguities as well as risk. Furthermore,
the company's data privacy policy has been incorporated into the solution
procedure with the fuzzy logic, which takes into account these drawbacks.
Besides, it has been ensured that the cost criterion is integrated in a
detailed manner. In the real world application, a selection is made between the
renovation of the existing system alternative consisting of the scattered and
different softwares –especially stressed on built-in software that only a
majority uses-; this software’s cloud alternative and a completely different
rival software alternatives. The result of this study, which examines ERP
software selection under uncertainties by adding risk and cost measures, has
been influential on enterprise’s preferences about this project.

References

  • M. Bradford, Modern ERP-Select, implement & use today’s advanced business systems, Lulu, Raleigh, NC, 2007, pp. 1–14.
  • D. Kahneman and A. Tversky, “Prospect Theory: An Analysis of Decision under Risk,” Econometrica , vol. 47, no. 2, pp. 263-291, 1979.
  • L.F.A.M. Gomes and M.M.P.P. Lima, “From modeling individual preferences to multicriteria ranking of discrete alternatives: A look at Prospect Theory and the additive difference model,” Foundations of Computing and Decision Sciences, vol. 17, no. 3, pp. 171– 184, 1992.
  • L. A. Zadeh, “Fuzzy sets,” Information Control, vol. 8, pp. 338-353, 1965.
  • C. C. Wei, C. F. Chien and M. J. J. Wang, “An AHP-based approach for ERP System Selection,” International Journal of Production Economics, vol. 96, no. 1, pp. 47–62, 2005.
  • H. S. C. Perera and W. K. R. Costa, “Analytical Hierarchy Process for Selection of ERP Software for Manufacturing Companies,” The Journal of Business Perspective, vol. 12, no. 4, pp. 1–11, 2008.
  • N. Karaarslan and E. Gundogar, “An application for modular capability-based ERP software selection using AHP method,” International Journal of Advanced Manufacturing Technology, vol. 42, no. 9-10, pp. 1025–1033, 2009.
  • U. Cebeci, “Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard,” Expert Systems with Applications, vol. 36, no. 5, pp. 8900-8909, 2009.
  • C. Kahraman, A. Beskese and I. Kaya, “Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision-making methodology,” International Journal of Production Research, vol. 48, no. 2, pp. 547-566, 2010.
  • B. Oztaysi, “A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection,” Journal of Multiple-Valued Logic and Soft Computing, vol. 24, no. 5-6, pp. 475-500, 2015.
  • H. R. Yazgan, S. Boran and K. Goztepe, “An ERP software selection process with using artificial neural network based on analytic network process approach,” Expert Systems with Applications, vol. 36, no. 5, pp. 9214-9222, 2009.
  • Z. Ayağ and R. G. Özdemir, “An intelligent approach to ERP software selection through fuzzy ANP,” International Journal of Production Research, vol. 45, no. 10, pp. 2169-2194, 2007.
  • P. Hallikainen, H. Kivijarvi and M. Tuominen, “Supporting the module sequencing decision in the ERP implementation process - an application of the ANP method,” International Journal of Production Research, vol. 119, no. 2, pp. 259-270, 2009.
  • T. Gurbuz, S. E. Alptekin and G. I. Alptekin, “A hybrid MCDM methodology for ERP selection problem with interacting criteria,” Decision Support Sytems, vol. 54, no. 1, pp. 206-214, 2012.
  • H. S. Kilic, S. Zaim and D. Delen, “Development of a hybrid methodology for ERP system selection: The case of Turkish Airlines,” Decision Support Sytems, vol. 66, pp. 82-92, 2014.
  • H. S. Kilic, S. Zaim and D. Delen, “Selecting ‘‘The Best’’ ERP system for SMEs using a combination of ANP and PROMETHEE methods,” Expert Sytems with Applications, vol. 42, pp. 2343-2352, 2015.
  • B. D. Rouyendegh, U. Baç and T. E. Erkan, “Sector selection for ERP implementation to achieve most impact on supply chain perfermance by using AHP-TOPSIS hybrid method,” Tehnički vjesnik, vol. 21, no. 5, pp. 933-937, 2014.
  • J. Razmi and M. S. Sangari, “A comprehensive decision support system for ERP pre-implementation phase,” European Journal of Industrial Engineering, vol. 7, no. 4, pp. 475-496, 2013.
  • O. Tosun and G. Akyuz, “A Fuzzy TODIM Approach for the Supplier Selection Problem,” International Journal of Computational Intelligence Systems, vol. 8, no. 2, pp. 317-329, 2015.M.
  • L. Tseng, Y. H. Lin, K. Tan, R. H. Chen and Y. H. Chen, “Using TODIM to evaluate green supply chain practices under uncertainty,” Applied Mathematical Modelling, vol. 38, no. 11-12, pp. 2983–2995, 2014.
  • Z. P. Fan, X. Zhang, Y. R. Zhao and F. D. Chen, “Multiple Attribute Decision Making with Multiple Formats of Attribute Aspirations: A Method Based on Prospect Theory,” International Journal of Information Technology & Decision Making, vol. 12, no. 4, pp. 711, 2013.
  • R. Lourenzutti and R. A. Krohling, “A study of TODIM in a intuitionistic fuzzy and random environment,” Expert Systems with Applications, vol. 40, pp. 6459–6468, 2013.
  • X. Sang and X. Liu, “An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection,” Journal of the Operational Research Society, vol. 67, no. 5, pp. 722–734, 2016.
  • Q. Qin, F. Liang, L. Li, Y. W. Chen and G. F. Yu, “A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers,” Applied Soft Computing, vol. 55, pp. 93–107, 2017.
  • C. Kahraman, G. Büyüközkan and N. Y. Ateş, “A two phase multi-attribute decision-making approach for new product introduction,” Information Sciences, vol. 177, pp. 1567-1582, 2007.
  • T. Kaya and C. Kahraman, “Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach,” Expert Systems with Applications, vol. 38, pp. 7326-7333, 2011.
  • A. Baykasoğlu and İ. Gölcük, “Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS,” Expert Systems with Applications, vol. 70, pp. 37-51, 2017.
  • M. Plaza, “Balancing the costs of human resources on an ERP Project,” Omega-International Journal of Management Science, vol. 59, pp. 171-183, 2016.
  • S. Ahmadi, C. H. Yeh, R. Martin and E. Papageorgiou, “Optimizing ERP readiness improvements under budgetary constraints,” International Journal of Production Economics, vol. 161, pp. 105–115, 2015.
  • J. Zeng, M. An and N. J. Smith, “Application of a fuzzy based decision making methodology to construction project risk assessment,” International Journal of Project Management, vol. 25, pp. 589–600, 2007.
  • C. Kahraman and A. C. Tolga, “An alternative ranking approach and its usage in Multi-criteria Decision-making,” International Journal of Computational Intelligence Systems, vol. 2, no. 3, pp. 219-235, 2009.
  • T. L. Saaty, The Analytical Hierarchy Process. New York: Wiley, 1980.
  • J. J. Buckley, “Fuzzy hierarchical analysis,” Fuzzy Sets and Systems, vol. 17, pp. 233-247, 1985.
  • R. A. Krohling and T. T. M. Souza, “Combining prospect theory and fuzzy numbers to multi-criteria decision-making,” Expert Systems with Applications, vol. 39, pp. 11487–11493, 2012.
  • Ö. Tosun and G. Akyüz, “A fuzzy TODIM approach for the supplier selection problem,” International Journal of Computational Intelligent Systems, vol. 8 no. 2, pp. 317–329, 2015.
  • X. Zhang and Z. P. Fan, “A method for linguistic multiple attribute decision-making based on TODIM,” International Conference on Management and Service Science, pp. 1-4, 2011.
  • D. K. Sen, S. Datta, S. K. Patel, and S. S. Mahapatra, “Fuzzy-TODIM for Industrial Robot Selection,” International Conference on Emerging Trends in Mechanical Engineering, pp. 1-8, 2016.
Year 2018, Volume: 22 Issue: 5, 1351 - 1370, 01.10.2018
https://doi.org/10.16984/saufenbilder.380388

Abstract

References

  • M. Bradford, Modern ERP-Select, implement & use today’s advanced business systems, Lulu, Raleigh, NC, 2007, pp. 1–14.
  • D. Kahneman and A. Tversky, “Prospect Theory: An Analysis of Decision under Risk,” Econometrica , vol. 47, no. 2, pp. 263-291, 1979.
  • L.F.A.M. Gomes and M.M.P.P. Lima, “From modeling individual preferences to multicriteria ranking of discrete alternatives: A look at Prospect Theory and the additive difference model,” Foundations of Computing and Decision Sciences, vol. 17, no. 3, pp. 171– 184, 1992.
  • L. A. Zadeh, “Fuzzy sets,” Information Control, vol. 8, pp. 338-353, 1965.
  • C. C. Wei, C. F. Chien and M. J. J. Wang, “An AHP-based approach for ERP System Selection,” International Journal of Production Economics, vol. 96, no. 1, pp. 47–62, 2005.
  • H. S. C. Perera and W. K. R. Costa, “Analytical Hierarchy Process for Selection of ERP Software for Manufacturing Companies,” The Journal of Business Perspective, vol. 12, no. 4, pp. 1–11, 2008.
  • N. Karaarslan and E. Gundogar, “An application for modular capability-based ERP software selection using AHP method,” International Journal of Advanced Manufacturing Technology, vol. 42, no. 9-10, pp. 1025–1033, 2009.
  • U. Cebeci, “Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard,” Expert Systems with Applications, vol. 36, no. 5, pp. 8900-8909, 2009.
  • C. Kahraman, A. Beskese and I. Kaya, “Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision-making methodology,” International Journal of Production Research, vol. 48, no. 2, pp. 547-566, 2010.
  • B. Oztaysi, “A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection,” Journal of Multiple-Valued Logic and Soft Computing, vol. 24, no. 5-6, pp. 475-500, 2015.
  • H. R. Yazgan, S. Boran and K. Goztepe, “An ERP software selection process with using artificial neural network based on analytic network process approach,” Expert Systems with Applications, vol. 36, no. 5, pp. 9214-9222, 2009.
  • Z. Ayağ and R. G. Özdemir, “An intelligent approach to ERP software selection through fuzzy ANP,” International Journal of Production Research, vol. 45, no. 10, pp. 2169-2194, 2007.
  • P. Hallikainen, H. Kivijarvi and M. Tuominen, “Supporting the module sequencing decision in the ERP implementation process - an application of the ANP method,” International Journal of Production Research, vol. 119, no. 2, pp. 259-270, 2009.
  • T. Gurbuz, S. E. Alptekin and G. I. Alptekin, “A hybrid MCDM methodology for ERP selection problem with interacting criteria,” Decision Support Sytems, vol. 54, no. 1, pp. 206-214, 2012.
  • H. S. Kilic, S. Zaim and D. Delen, “Development of a hybrid methodology for ERP system selection: The case of Turkish Airlines,” Decision Support Sytems, vol. 66, pp. 82-92, 2014.
  • H. S. Kilic, S. Zaim and D. Delen, “Selecting ‘‘The Best’’ ERP system for SMEs using a combination of ANP and PROMETHEE methods,” Expert Sytems with Applications, vol. 42, pp. 2343-2352, 2015.
  • B. D. Rouyendegh, U. Baç and T. E. Erkan, “Sector selection for ERP implementation to achieve most impact on supply chain perfermance by using AHP-TOPSIS hybrid method,” Tehnički vjesnik, vol. 21, no. 5, pp. 933-937, 2014.
  • J. Razmi and M. S. Sangari, “A comprehensive decision support system for ERP pre-implementation phase,” European Journal of Industrial Engineering, vol. 7, no. 4, pp. 475-496, 2013.
  • O. Tosun and G. Akyuz, “A Fuzzy TODIM Approach for the Supplier Selection Problem,” International Journal of Computational Intelligence Systems, vol. 8, no. 2, pp. 317-329, 2015.M.
  • L. Tseng, Y. H. Lin, K. Tan, R. H. Chen and Y. H. Chen, “Using TODIM to evaluate green supply chain practices under uncertainty,” Applied Mathematical Modelling, vol. 38, no. 11-12, pp. 2983–2995, 2014.
  • Z. P. Fan, X. Zhang, Y. R. Zhao and F. D. Chen, “Multiple Attribute Decision Making with Multiple Formats of Attribute Aspirations: A Method Based on Prospect Theory,” International Journal of Information Technology & Decision Making, vol. 12, no. 4, pp. 711, 2013.
  • R. Lourenzutti and R. A. Krohling, “A study of TODIM in a intuitionistic fuzzy and random environment,” Expert Systems with Applications, vol. 40, pp. 6459–6468, 2013.
  • X. Sang and X. Liu, “An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection,” Journal of the Operational Research Society, vol. 67, no. 5, pp. 722–734, 2016.
  • Q. Qin, F. Liang, L. Li, Y. W. Chen and G. F. Yu, “A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers,” Applied Soft Computing, vol. 55, pp. 93–107, 2017.
  • C. Kahraman, G. Büyüközkan and N. Y. Ateş, “A two phase multi-attribute decision-making approach for new product introduction,” Information Sciences, vol. 177, pp. 1567-1582, 2007.
  • T. Kaya and C. Kahraman, “Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach,” Expert Systems with Applications, vol. 38, pp. 7326-7333, 2011.
  • A. Baykasoğlu and İ. Gölcük, “Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS,” Expert Systems with Applications, vol. 70, pp. 37-51, 2017.
  • M. Plaza, “Balancing the costs of human resources on an ERP Project,” Omega-International Journal of Management Science, vol. 59, pp. 171-183, 2016.
  • S. Ahmadi, C. H. Yeh, R. Martin and E. Papageorgiou, “Optimizing ERP readiness improvements under budgetary constraints,” International Journal of Production Economics, vol. 161, pp. 105–115, 2015.
  • J. Zeng, M. An and N. J. Smith, “Application of a fuzzy based decision making methodology to construction project risk assessment,” International Journal of Project Management, vol. 25, pp. 589–600, 2007.
  • C. Kahraman and A. C. Tolga, “An alternative ranking approach and its usage in Multi-criteria Decision-making,” International Journal of Computational Intelligence Systems, vol. 2, no. 3, pp. 219-235, 2009.
  • T. L. Saaty, The Analytical Hierarchy Process. New York: Wiley, 1980.
  • J. J. Buckley, “Fuzzy hierarchical analysis,” Fuzzy Sets and Systems, vol. 17, pp. 233-247, 1985.
  • R. A. Krohling and T. T. M. Souza, “Combining prospect theory and fuzzy numbers to multi-criteria decision-making,” Expert Systems with Applications, vol. 39, pp. 11487–11493, 2012.
  • Ö. Tosun and G. Akyüz, “A fuzzy TODIM approach for the supplier selection problem,” International Journal of Computational Intelligent Systems, vol. 8 no. 2, pp. 317–329, 2015.
  • X. Zhang and Z. P. Fan, “A method for linguistic multiple attribute decision-making based on TODIM,” International Conference on Management and Service Science, pp. 1-4, 2011.
  • D. K. Sen, S. Datta, S. K. Patel, and S. S. Mahapatra, “Fuzzy-TODIM for Industrial Robot Selection,” International Conference on Emerging Trends in Mechanical Engineering, pp. 1-8, 2016.
There are 37 citations in total.

Details

Primary Language English
Subjects Industrial Engineering
Journal Section Research Articles
Authors

A. Çağrı Tolga 0000-0001-6309-0099

Publication Date October 1, 2018
Submission Date January 17, 2018
Acceptance Date March 26, 2018
Published in Issue Year 2018 Volume: 22 Issue: 5

Cite

APA Tolga, A. Ç. (2018). Evaluation of ERP softwares with fuzzy AHP integrated TODIM method. Sakarya University Journal of Science, 22(5), 1351-1370. https://doi.org/10.16984/saufenbilder.380388
AMA Tolga AÇ. Evaluation of ERP softwares with fuzzy AHP integrated TODIM method. SAUJS. October 2018;22(5):1351-1370. doi:10.16984/saufenbilder.380388
Chicago Tolga, A. Çağrı. “Evaluation of ERP Softwares With Fuzzy AHP Integrated TODIM Method”. Sakarya University Journal of Science 22, no. 5 (October 2018): 1351-70. https://doi.org/10.16984/saufenbilder.380388.
EndNote Tolga AÇ (October 1, 2018) Evaluation of ERP softwares with fuzzy AHP integrated TODIM method. Sakarya University Journal of Science 22 5 1351–1370.
IEEE A. Ç. Tolga, “Evaluation of ERP softwares with fuzzy AHP integrated TODIM method”, SAUJS, vol. 22, no. 5, pp. 1351–1370, 2018, doi: 10.16984/saufenbilder.380388.
ISNAD Tolga, A. Çağrı. “Evaluation of ERP Softwares With Fuzzy AHP Integrated TODIM Method”. Sakarya University Journal of Science 22/5 (October 2018), 1351-1370. https://doi.org/10.16984/saufenbilder.380388.
JAMA Tolga AÇ. Evaluation of ERP softwares with fuzzy AHP integrated TODIM method. SAUJS. 2018;22:1351–1370.
MLA Tolga, A. Çağrı. “Evaluation of ERP Softwares With Fuzzy AHP Integrated TODIM Method”. Sakarya University Journal of Science, vol. 22, no. 5, 2018, pp. 1351-70, doi:10.16984/saufenbilder.380388.
Vancouver Tolga AÇ. Evaluation of ERP softwares with fuzzy AHP integrated TODIM method. SAUJS. 2018;22(5):1351-70.