Abstract
Today’s retail companies are facing with many different criteria in choosing the software they use to manage their processes. The choice of appropriate software is a multi-criteria decision-making problem that requires process managers to come together with multiple factors as well as with different decision makers. In this study, the problem of choosing process management software for a retailer operating in the textile sector is discussed. The main problem in existing software used in the company’s process management department is that it does not cover all process flows causing lack of communication with other softwares. With this study, it is aimed to reduce time loss in operations by selecting a software that combines processes in one system. Thus, in all departments, there will be a unified and single reporting system for real-time analysis of statistics and better cooperation. In this study, the Analytic Hierarchy Process (AHP) and Fuzzy TOPSIS approaches are presented for this multi criteria decision making problem. In the first step, the AHP implementation and the pairwise comparisons taken from the seven decision makers determined the importance weights of the integrated decision criteria. In the second step, the Fuzzy TOPSIS method is carried out for the selection of the best software with the quantitative and qualitative evaluations of the decision makers.
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References
Ömürbek N, Makas Y, Ömürbek V (2015) AHP ve Topsis yöntemleri ile kurumsal proje yönetim yazılımı seçimi. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, pp 59–80
Dağdeviren M, Akay D, Kurt M (2004) İş Değerlendirme Sürecinde Analitik Hiyerarşi Prosesi ve Uygulaması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 19(2):131–138
Aslan N (2005) Analitik Network Prosesi. Yüksek Lisans Tezi, Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul
Chen SJ, Hwang CL (1992) Fuzzy Multiple Attribute Decision Making Methods and Applications. Springer, Berlin
Amiri MP (2010) Project selection for oil-fields development by using the AHP and Fuzzy TOPSIS methods. Expert Syst Appl 37:6219. https://doi.org/10.1016/j.eswa.2010.02.103
Moayeri M, Shahvarani A, Behzadi M, Hosseinzadeh-Lotfi F (2015) Comparison of Fuzzy AHP and Fuzzy TOPSIS methods for math teachers selection. Indian J Sci Technol 8:1– 10
Karaatlı M, Nuri Ö, Aksoy E, Karakuzu H (2014) Turizm işletmeleri için AHP temelli bulanık TOPSIS yönetimi ile tur operatörü seçimi. Anadolu Univ J Soc Sci 14(2): 53–68
Tunca MZ, Aksoy E, Bülbül H, Ömürbek N (2015) Use of AHP-based TOPSIS and ELECTRE methods on accounting software selection. Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 8:53–71
Günay Z, Ünal ÖF (2016) Selection of supplier with AHP and Topsis (sample of a telecommunication firm in Turkey). PESA Uluslararası Sosyal Araştırmalar Dergisi 2:37–53. http://dergipark.gov.tr/pesausad/issue/26079/274881
Efe B (2015) An integrated fuzzy multi criteria group decision making approach for ERP system selection. Appl Soft Comput: 106–117. https://doi.org/10.1016/j.asoc.2015.09.037
Başkaya Z, Akar C (2005) Ürün alternatifi seçiminde Analitik Hiyerarşi Süreci: Tekstil işletmesi örneği. Anadolu Üniversitesi Sosyal Bilimler Dergisi 5(1):273–286
Entani T (2009) Interval AHP for a group of decision makers. IFSA-EUSFLAT, pp 155–160
Saaty TL, Tran LT (2007) On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, p 966
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8:199–249(I), 301–357(II)
Yoon K, Hwang CL (1981) Methods and Applications A State-of-the-Art Survey. Springer, Heidelberg
Acknowledgment
We want to thank to DeFacto Turkey’s Process and Project Management Department, all the personnel that act as decison maker, and especially Nurcan DÖNMEZ for the support at the implementation of this study.
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Şen, A.Y., Semiz, N., Güneş, B., Algül, D., Gergin, Z., Dönmez, N.D. (2019). The Selection of a Process Management Software with Fuzzy Topsis Multiple Criteria Decision Making Method. In: Durakbasa, N., Gencyilmaz, M. (eds) Proceedings of the International Symposium for Production Research 2018. ISPR 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-92267-6_12
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DOI: https://doi.org/10.1007/978-3-319-92267-6_12
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