Bulanık Analitik Ağ Süreci ve 0-1 Hedef Programlama Entegrasyonu ile Kurumsal Kaynak Planlama (Erp) Yazılımı Seçimi

Year 2019, Volume: 19 Issue: 1, 75 - 88, 01.01.2019

Muhittin Sagnak , Yigit Kazancoglu

https://doi.org/10.21121/eab.2019148776

Cited By: 6

Abstract

Kurumsal Kaynak Planlaması (KKP), işletmenin bütün
fonksiyonlarını sistem yaklaşımına göre bir araya getiren bir yazılım
sistemidir. Küresel rekabet, işletmeleri, maliyetleri düşürmeye, stokları
azaltmaya, kaliteyi yükseltmeye ve daha iyi müşteri hizmetleri sağlamasına
zorlar. Bu nedenle, işletmelerin, uygun KKP yazılımının seçimi ve uygulanması
yoluyla işletme fonksiyonlarını entegre etmeleri önemlidir. Ancak, bu karar
sürecinde mevcut üç yönetsel sorun vardır. Birincisi, kriterler ve
alternatiflerin değerlendirilmesi ile ilgilidir, ikincisi değerlendirme
sürecindeki belirsizlikle ilgilidir ve üçüncüsü, şirketin çoklu amaçlarını ve
kısıtlarını dikkate almakla ilgilidir. Bu çalışmada, en uygun KKP yazılımının
seçimine karar vermek için doğrusal programlama ve çok kriterli karar verme
(ÇKKV) kombinasyonunu sunmak için, ÇKKV yöntemi, 0-1 hedef programlama ile
birleştirilmiştir. Bu kombinasyon, yalnızca KKP seçimi gibi stratejik kararlar
için uzman görüşünü alma ihtiyacını değil, aynı zamanda işletmeler için mevcut
sınırlı kaynakları da dikkate alır. Ayrıca, problemin bulanık doğasından
dolayı, ÇKKV tekniği Analitik Ağ Süreci (AAS) bulanık mantık ile
birleştirilmiş, bulanık analitik ağ süreci (BAAS) ise 0-1 hedef programlama ile
bütünleştirilmiştir. BAAS kullanmanın nedeni, bir ağ konsepti içinde uzman
görüşünün aktarılmasına izin verme potansiyelidir.

Keywords

KKP Seçimi, Çok Kriterli Karar Verme, Bulanık Analitik Ağ Süreci, 0 - 1 Hedef Programlama

IntegraFuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection

Abstract

Enterprise Resource Planning (ERP) is a software system incorporating all business functions with regard to systems approach. Global competition forces enterprises to lower costs, reduce inventories, improve quality, and provide better customer service. Therefore, it is important for enterprises to integrate their business functions through the selection and implementation of appropriate ERP software. However, there are three managerial problems existing in this decision process, related respectively with the evaluation of criteria and alternatives, the vagueness within the evaluation process, and the multiple goals and constraints of the company. In this study, in order to select the most appropriate ERP software, the multiple criteria decision-making method (MCDM) is combined with 0-1 goal programming in order to present the combination of linear programming and a MCDM. This combination takes into account not only the need to hire expert opinion for strategic decisions such as ERP selection, but also the limited resources available to enterprises. Also, due to the fuzzy nature of the problem, the MCDM technique, Analytic Network Process (ANP), is combined with fuzzy logic; therefore, fuzzy analytic network process (FANP) is integrated with 0-1 goal programming. The reason for employing FANP is its potential to facilitate the transfer the expert opinion within a network concept.

Keywords

ERP Selection, Multiple Criteria Decision-Making, Fuzzy Analytic Network Process, 0-1 Goal Programming

References

• Ahn, B.S. and Choi, S.H. (2008) “ERP system selection using a simulation-based AHP approach: a case of Korean home shopping company” Journal of the Operational Research Society, 59(32): 322-330.
• Aloini, D., Dulmin, R. and Mininno, V. (2012) “Risk assessment in ERP projects” Information Systems, 37(3): 183-199.
• Ayag, Z. and Ozdemir, R.G. (2007) “An intelligent approach to ERP software selection through fuzzy ANP” International Journal of Production Research, 45(10): 2169-2194.
• Badri, M.A. (2001) “A combined AHP-GP model for quality control systems” International Journal of Production Economics, 72(1): 27-40.
• Bernroider, E. and Koch, S. (2000) “Differences in characteristics of the ERP system selection process between small or medium sized and large organizations” Proceedings of the Sixth Americas Conference of Information Systems, 10–13 August, Long Beach, CA, 1022-1028.
• Bernroider, E.W.N. and Stix, V. (2006) “Profile distance method – A multiattribute decision making approach for information system investments” Decision Support Systems, 42: 988-998.
• Bravo, E. and Santana, M. (2010) “Impacto de la implementación de lossistemas de planeamiento de recursosempresariales ERP en el desempeño individual” Americas Conference on Informations Systems, Lima, Perú, 265.
• Cakir, S. (2016) “Selecting appropriate ERP software using integrated fuzzy linguistic preference relations – fuzzy TOPSIS method” International Journal of Computational Intelligence Systems, 9(3): 433-449.
• Chang, I.C., Hwang, H.G. and Liaw, H.C. (2008) “A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage” Expert Systems with Applications, 35: 1809-1816.
• Chaudhari, S. and Ghone, A. (2015) Global ERP Software Market - Size, Industry Analysis, Trends, Opportunities, Growth and Forecast, 2013-2020. Allied Market Research ERP Market Report.
• Chen S.J. and Hwang C.L. (1992) “Fuzzy multiple attribute decision making” Lecture Notes in Economics and Mathematical Systems, 375: 289-486.
• Chung, S.H., Lee, A.H. and Pearn, W.L. (2005) “Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis” International Journal of Advanced Manufacturing Technology, 25: 1144-1156.
• Cil, I., Alpturk, O. and Yazgan, H. (2005) “A new collaborative system framework based on a multiple perspective approach: InteliTeam” Decision Support Systems, 39: 619-641.
• Cruz-Cunha, M.M., Siva, J.P., Goncalves J.J., Fernandes, J.A. and Avila, P.S. (2016) “ERP Selection using an AHP-based Decision Support System” Information Resources Management Journal, 29(4): 65-81.
• Davenport, T.H. (2000) Mission Critical: Realizing the Promise of Enterprise Systems, Harvard Business School Press, Boston, MA.
• Forslund, H. and Jonsson, P. (2010) “Selection, implementation and use of ERP systems for supply chain performance management” Industrial Management and Data Systems, 110(8): 1159-1175.
• Gupta, R. and Naqvi, S.K. (2017) “A Framework for Applying CSFs to ERP Software Selection: An Extension of Fuzzy TOPSIS Approach” International Journal of Intelligent Information Technologies, 13(2): 41-62.
• Gurbuz, T., Alptekin, S.E. and Alptekin, G.I. (2012) “A hybrid MCDM methodology for ERP selection problem with interacting criteria” Decision Support Systems, 54: 206-214.
• Haddara, M. (2014) “ERP Selection: The SMART Way” Procedia Technology, 16: 394-403.
• Haddara, M. (2018) “ERP systems selection in multinational enterprises: a practical guide” International Journal of Information Systems and Project Management, 6(1): 43-57.
• Hoermann, S., Kienegger, H., Langermeier, M., Mayer, M. and Krcmar, H. (2011) “Comparing Risk and Success Factors in ERP Projects: A Literature Review” Americas Conference on Information Systems, Detroit, Michigan, USA, 241.
• Huang, J.D. and Hu, M.H. (2013) “Two-stage solution approach for supplier selection: A case study in a Taiwan automotive industry” International Journal of Computer Integrated Manufacturing, 26(3): 237- 251.
• Kahraman, C., Beskese, A. and Kaya, I. (2010) “Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision making methodology” International Journal of Production Research, 48(2): 547-566.
• Karaarslan, N. and Gundogar, E. (2009) “An application for modular capability-based ERP software selection using AHP method” International Journal of Advanced Manufacturing Technologies, 42: 1025-1033.
• Karsak, E.E. and Ozogul, C.O. (2009) “An integrated decision making approach for ERP system selection” Expert Systems with Applications, 36: 660-667.
• Kazancoglu, Y. and Burmaoglu, S. (2013) “ERP software selection with MCDM: application of TODIM method” International Journal of Business Information Systems, 13(4): 435-452.
• Kilic, H.S., Zaim, S. and Delen, D. (2014) “Development of a hybrid methodology for ERP system selection: The case of Turkish Airlines” Decision Support Systems, 66: 82-92.
• Kilic, H.S., Zaim, S. and Delen, D. (2015) “Selecting “The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods” Expert Systems with Applications, 42: 2343-2352.
• Krigsman, M. (2010). “Lessons from ERP Implementation Failures”. Retrieved from: http://inforln.com/ wp-content/uploads/2014/05/Focus-Experts-Buying- Guide-for-ERP.pdf
• Lee, A.H.I., Kang, H. and Chang, H. (2008) “Evaluating Buyer-Supplier Relationships in HighTech Industry by Analytic Network Process (ANP)” Proceedings of the Service Operations and Logistics, and Informatics, IEEE/SOLI 2008, IEEE International Conference, 12-15 October, Beijing, 2677-2682.
• Lee, A.H.I., Kang, H.Y., Yang, C.Y. and Lin, C.Y. (2010) “An evaluation framework for product planning using FANP, QFD and multi-choice goal programming” International Journal of Production Research, 48(13): 3977-3997.
• Liao, X., Li, Y. and Lu, B. (2007) “A model for selecting an ERP system based on linguistic information processing” Information Systems, 32: 1005-1017.
• Lin, H.Y., Hsu, P.Y. and Sheen, G.J. (2007) “A fuzzy-based decision making procedure for data warehouse system selection” Expert Systems with Applications, 32: 939-953.
• Maditinos, D., Chatzoudes, D. and Tsairidis, C. (2011) “Factors affecting ERP system implementation effectiveness” Journal of Enterprise Information Management, 25(1): 60-78.
• Meade, L.M. and Sarkis, J. (1999) “Analyzing Organizational Project Alternatives for Agile Manufacturing Processes: An Analytical Network Approach” International Journal of Production Research, 37: 241-261.
• Noureddine, M. and Oualid, K. (2018) “Extraction of ERP Selection Criteria using Critical Decisions Analysis” International Journal of Advanced Computer Science and Applications, 9(4): 100-108.
• Olson, D.L., Van Huy, V. and Tuan, N.M. (2012) “Case of development of a small business ERP consultant knowledge base” Advances in Enterprise Information Systems II, Edited by Charles Møller and Sohail Chaudhry CRC Press.
• Onut, S., Kara, S.S. and Isik, E. (2009) “Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company” Expert Systems with Applications, 36: 3887-3895.
• Opricovic, S. and Tzeng, G.H. (2003) “Defuzzification within a Multicriteria Decision Model” International Journal of Uncertainty, Fuzziness, and Knowledge- Based Systems, 11(5): 635-652.
• Pan, M.J. and Jang, W.Y. (2008) “Determinants of the adoption of enterprise resource planning within the technology-organization-environment framework: Taiwan’s communications industry” Journal of Computer Information Systems, 48(3): 94-102.
• Ranjan, S., Jha, V.K. and Pal, P. (2016) “A strategic and sustainable multi-criteria decision making framework for ERP selection in OEM” International Journal of Applied Engineering Research, 11(3): 1916-1926.
• Saaty, T.L. (1980) The Analytic Hierarchy Process. Mc- Graw-Hill, New York.
• Saaty, T.L. (1996) Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh.
• Saaty, T.L. and Vargas, L.G. (1998) “Diagnosis with dependent symptoms: Bayes theorem and the analytic hierarchy process” Operations Research, 46(4): 491-502.
• Saaty, T.L. (2001) Decision making with dependence and feedback: The Analytic network process (2nd ed.), Pittsburg: RWS Pub.
• Schniederjans, M.J. and Garvin, T. (1997) “Using the Analytic Hierarchy Process and multi-objective programming for the selection of cost drivers in activity-based costing” European Journal of Operational Research, 100: 72-80.
• Sen, C.G. and Baracli, H. (2010) “Fuzzy quality function deployment based methodology for acquiring enterprise software selection requirements” Expert Systems with Applications, 37: 3415-3426.
• Shankarnarayanan, S. (2000) “ERP systems––using IT to gain a competitive advantage” Retrieved from: http://www.angelfire.com/co/troyc/advant.html
• Teltumbde, A. (2000) “A framework for evaluating ERP projects” International Journal of Production Research, 38: 4507-4520.
• Temur, G.T. and Bolat, B. (2018) “A robust MCDM approach for ERP system selection under uncertain environment based on worst case scenario” Journal of Enterprise Information Management, 31(3): 405-425.
• Umble, E.J., Haft, R.R. and Umble, M.M. (2003) “Enterprise resource planning: Implementation procedures and critical success factors” European Journal of Operational Research, 146: 241-257.
• Verville, J., Palanisamy, R. and Bernadas C. (2007) “RP Acquisition Planning: A Critical Dimension for Making the Right Choice” Long Range Planning, 40: 45-62.
• Wei, C.C. and Wang, M.J.J. (2004) “A comprehensive framework for selecting an ERP system” International Journal of Project Management, 22: 161-169.
• Wei, C.C., Chien, C.F. and Wang, M.J.J. (2005) “An AHPbased approach to ERP system selection” International Journal of Production Economics, 96: 47–62.
• Wong, J.T. (2012) “DSS for 3PL provider selection in global supply chain: combining the multi-objective optimization model with experts’ opinions” Journal of Intelligent Manufacturing, 23(3): 599-614.
• Xiuwu, L., Yuan, L. and Bing, L. (2007) “A model for selecting an ERP system based on linguistic information processing” Information System, 32(7): 1005-1017.
• Yazgan, H.R., Boran, S. and Goztepe, K. (2009) “An ERP software selection process with using artificial neural network based on analytic network process approach” Expert Systems with Applications, 36: 9214-9222.
• Zadeh, L.A. (1965) “Fuzzy sets” Information Control, 8: 338-353.