OSSA Gurubu Üyesi Bir Tasarım Firmasında Kalite Süreçleri Dikkate Alınarak ERP Yazılımı Seçimi

Barış Keçeci; Batuhan Özdemir

Araştırma Makalesi

OSSA Gurubu Üyesi Bir Tasarım Firmasında Kalite Süreçleri Dikkate Alınarak ERP Yazılımı Seçimi

Yıl 2017, Cilt: 15 Sayı: 2, 47 - 57, 26.09.2018

Barış Keçeci , Batuhan Özdemir

Öz

Bu çalışmada,
savunma sanayinde faaliyet gösteren bir elektronik firmasında ERP yazılımı
seçimi, Çok Ölçütlü Karar Verme (ÇÖKV) problemi olarak ele alınmıştır. ÇÖKV
yöntemi olarak bulanık TOPSIS uygulanmıştır. Bu amaçla Ostim Savunma ve
Havacılık Kümelenmesi (OSSA) gurubuna üye firmalardan ve çalışmanın yapıldığı
firma içi karar vericilerden anket yoluyla elde edilen veriler kullanılmıştır. Belirsizlik
ve öznellikten arınmak amacıyla, üçgensel bulanık sayılar ile ifade edilen
dilsel terimler kullanılarak toplanan veriler ışığında, ERP seçim ölçütlerinin
önem seviyeleri ve çalışmanın yapıldığı firma tarafından seçilmiş alternatif
yazılımların ölçütler açısından seviyeleri belirlenmiştir. Bu doğrultuda
firmanın ihtiyaçlarını karşılayacak en uygun ERP yazılımının seçilmesi
hedeflenmiştir.

Anahtar Kelimeler

KOBİ, OSSA, Elektronik firması, ERP, Çok ölçütlü karar verme, Bulanık, TOPSIS

Kaynakça

1. Wei, C.-C., Chien, C.-F., and Wang, M.-J. J., An AHP-based approach to ERP system selection, International Journal of Production Economics, Vol.96 (1), pp.47-62, 2005.
2. He, l., and Li, C., A Method for Selecting ERP System Based on Fuzzy Set Theory and Analytical Hierarchy Process, Global Congress on Intelligent Systems, 1, IEEE, 2009.
3. Habenicht, W., Scheubrein, B., Scheubrein, R., Multiple criteria decision Making, In: Derigs U, editor. Theme 6.5 “Optimization and Operations Research” of the Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO, Oxford, UK: Eolss Publishers, 2002.
4. Chu, T.C., Selecting plant location via a fuzzy TOPSIS approach, The International Journal of Advanced Manufacturing Technology, Vol.20(11), pp.859-864, 2002.
5. Yusuf, Y., Gunasekaran, A., and Abthorpe, M.S., Enterprise information systems project implementation, International Journal of Production Economics, Vol.87(3), pp.251-266, 2004.
6. Chen, C.T., Lin, C.T., Huang, S.F., A fuzzy approach for supplier evaluation and selection in supply chain management, International Journal of Production Economics, pp.289-301, 2006.
7. Robert Jacobs, F., and Ted Weston, F.C., Enterprise resource planning (ERP)—A brief history, Journal of Operations Management, Vol.25(2), pp.357-363, 2007.
8. Ghapanchi, A.H., Jafarzadeh, M.H., and Khakbaz, M.H., An Application Of Data Envelopment Analysis (DEA) For ERP System Selection: Case Of A Petrochemical Company, Paper presented at the International Conference on Information Systems (ICIS), 2008.
9. Yurdakul, M., İç, Y.T., Analysis of the Benefit Generated by Using Fuzzy Numbers in a TOPSIS Model Developed for Machine Tool Selection Problems, Journal of Materials Processing Technology, pp. 310-317, 2009.
10. Dezdar, S., and Ainin, S., ERP Implementation Success in Iran: Examining the Role of System Environment Factors, Paper presented at the World Academy of Science, Engineering and Technology, 2010.
11. Erkan, T.E., Enterprise Resource Planning Implementation Differences Within the Same Methodology-Case Study From West Europe and Turkey, Proceedings of the 2nd International Conference on Information Management and Evaluation, pp.181-186, 2011.
12. Awasthi, A., Chauhan, S.S., Goyal, S.K., A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty, Mathematical and Computer Modelling, pp.98-109, 2011.
13. Zavadskas, E.K., Turskis, Z., Multiple criteria decision making (MCDM) methods in economics: an overview, Technological and Economic Development of Economy, Vol.17, pp.397-427, 2011.
14. Chen, W., Critical Factors and Multisite Implementation of ERP: A Case Study in the UAE, Paper presented at the IBIMA (International Business Information Management Association), 2012.
15. Salazar, M.d.R.P., Rivera, I., and Vázquez, I.M.C., ERP selection: a literature review, International Journal of Industrial and Systems Engineering, Vol.13(3), p.309, 2013.
16. Haddara, M., ERP Selection: The SMART Way, Procedia Technology, Vol.16, pp.394-403, 2014.
17. Kashani, M.R., ERP Implementation in Iran: (A Successful Experience in DGC), International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Vol.8(9), 2014.
18. Rouyendegh, B.D., Bac, U., and Erkan, T.E., Sector Selection for Erp Implementation to Achieve Most Impact on Supply Chain Performance by Using Ahp-Topsis Hybrid Method, Tehnicki Vjesnik-Technical Gazette, Vol.21(5), pp.933-937, 2014.
19. Şengül, U., Eren, M., Shiraz, S.E., Gezder, V., Şengül, A.B., Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey, Renewable Energy pp.617-625, 2015.
20. Nag, K., Helal, M., A Fuzzy TOPSIS Approach in Multi-Criteria Decision Making For Supplier Selection in a Pharmaceutical Distributor, 2016 IEMM International Conference, Indonesia, 2016.
21. Zavadskas, E.K., Turskis, Z., Mardani, A., Nor, K.M., Jusoh, A., Development of TOPSIS Method to Solve Complicated Decision-Making Problems: An Overview on Developments from 2000 to 2015, International Journal of Information Technology & Decision Making, Vol.15, No:3, pp.645-682, 2016.
22. Karlsson, J., Managing software requirements using quality function deployment, Software Quality Control, Vol.6(4), pp.311-326, 1997.
23. Sen, C.G., Baracli, H., Sen, S., and Basligil, H., An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection, Expert Systems with Applications, Vol.36(3), pp.5272-5283, 2009.
24. McCall, J., Richards, P., and Walters, G., Factors in Software Quality, Vol.3, 1977.
25. Alanbay, O., Erp Selection Using Expert Choice Software, Honolulu, Hawaii, July 8-10, 2005.
26. Karsak, E.E., and Özogul, C.O., An integrated decision making approach for ERP system selection, Expert Systems with Applications, Vol.36, pp.660-667, 2009.
27. Rouyendegh, B.D., and Erkan, T.E., ERP System Selection by AHP Method: Case Study From Turkey, International Journal of Business and Management Studies, Vol.3(1), pp.39-48, 2011.
28. Chen, T., Tsao, C., The Interval-Valued Fuzzy TOPSIS Method and Experimental Analysis, Fuzzy Sets And Systems, Vol.159, pp.1410-1428, 2008.
29. Triantaphyllou, E., Shu, B., Nieto Sanchez, S., and Ray, T., Multi-Criteria Decision Making: An Operations Research Approach, Encyclopedia of Electrical and Electronics Engineering, Vol.15, pp.175-186, 1998.
30. Küçük, O., Ecer, F., Bulanık TOPSIS Kullanılarak Tedarikçilerin Değerlendirilmesi ve Erzurum’da Bir Uygulama, Ekonomik ve Sosyal Araştırmalar Dergisi, Bahar 2007, Cilt:3, Yıl:3, Sayı:1, ss.45-65, 2007.
31. Zadeh, L.A., Knowledge Representation in Fuzzy Logic, Knowledge And Data Engineering, Vol.1(1), pp.89-99, 1989.
32. Klir, G.J., JUAN, B., Fuzzy Sets And Fuzzy Logic Theory And Applications, New Jersey: Prentice Hall Inc, 1995.
33. Nguyen, H.T., Wu, B., Fundamentals Of Statistics With Fuzzy Data Studies In Fuzziness And Soft Computing, Vol.198, Netherlands: Springer, 2006.
34. Chen, C.T., Extensions Of The TOPSIS For Group Decision-Making Under Fuzzy Environment, Fuzzy Sets and Systems, 114(1), pp.1-9, 2000.
35. Kargı, V.S.A., Supplier Selection for A Textile Company Using The Fuzzy TOPSIS Method, Yönetim ve Ekonomi, Cilt 23, Sayı 3, 2016.

Selection of ERP Software Considering Quality Processes in a Design Firm of OSSA Group Member

Yıl 2017, Cilt: 15 Sayı: 2, 47 - 57, 26.09.2018

Barış Keçeci , Batuhan Özdemir

Öz

In this study, the
selection of ERP software in an electronics firm operating in the defense
industry is considered as a Multi-Criteria Decision Making (MCDM) problem.
Fuzzy TOPSIS is applied as the MCDM method. For this purpose, the data obtained
through the questionnaire from the members of the Ostim Defense and Aviation
Cluster (OSSA) group and from the in-firm decision makers are used. In order to
avoid uncertainty and subjectivity, the levels of importance of the ERP
selection criteria and the criteria of alternative software are determined with
the data obtained by using linguistic terms which are expressed in triangular
fuzzy numbers. In this direction, it is aimed to select the most appropriate
ERP software to meet the needs of the company.

Anahtar Kelimeler

Small-and-medium-sized enterprises, OSSA, Electronics company, ERP, MCDM, Fuzzy, TOPSIS

Kaynakça

1. Wei, C.-C., Chien, C.-F., and Wang, M.-J. J., An AHP-based approach to ERP system selection, International Journal of Production Economics, Vol.96 (1), pp.47-62, 2005.
2. He, l., and Li, C., A Method for Selecting ERP System Based on Fuzzy Set Theory and Analytical Hierarchy Process, Global Congress on Intelligent Systems, 1, IEEE, 2009.
3. Habenicht, W., Scheubrein, B., Scheubrein, R., Multiple criteria decision Making, In: Derigs U, editor. Theme 6.5 “Optimization and Operations Research” of the Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO, Oxford, UK: Eolss Publishers, 2002.
4. Chu, T.C., Selecting plant location via a fuzzy TOPSIS approach, The International Journal of Advanced Manufacturing Technology, Vol.20(11), pp.859-864, 2002.
5. Yusuf, Y., Gunasekaran, A., and Abthorpe, M.S., Enterprise information systems project implementation, International Journal of Production Economics, Vol.87(3), pp.251-266, 2004.
6. Chen, C.T., Lin, C.T., Huang, S.F., A fuzzy approach for supplier evaluation and selection in supply chain management, International Journal of Production Economics, pp.289-301, 2006.
7. Robert Jacobs, F., and Ted Weston, F.C., Enterprise resource planning (ERP)—A brief history, Journal of Operations Management, Vol.25(2), pp.357-363, 2007.
8. Ghapanchi, A.H., Jafarzadeh, M.H., and Khakbaz, M.H., An Application Of Data Envelopment Analysis (DEA) For ERP System Selection: Case Of A Petrochemical Company, Paper presented at the International Conference on Information Systems (ICIS), 2008.
9. Yurdakul, M., İç, Y.T., Analysis of the Benefit Generated by Using Fuzzy Numbers in a TOPSIS Model Developed for Machine Tool Selection Problems, Journal of Materials Processing Technology, pp. 310-317, 2009.
10. Dezdar, S., and Ainin, S., ERP Implementation Success in Iran: Examining the Role of System Environment Factors, Paper presented at the World Academy of Science, Engineering and Technology, 2010.
11. Erkan, T.E., Enterprise Resource Planning Implementation Differences Within the Same Methodology-Case Study From West Europe and Turkey, Proceedings of the 2nd International Conference on Information Management and Evaluation, pp.181-186, 2011.
12. Awasthi, A., Chauhan, S.S., Goyal, S.K., A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty, Mathematical and Computer Modelling, pp.98-109, 2011.
13. Zavadskas, E.K., Turskis, Z., Multiple criteria decision making (MCDM) methods in economics: an overview, Technological and Economic Development of Economy, Vol.17, pp.397-427, 2011.
14. Chen, W., Critical Factors and Multisite Implementation of ERP: A Case Study in the UAE, Paper presented at the IBIMA (International Business Information Management Association), 2012.
15. Salazar, M.d.R.P., Rivera, I., and Vázquez, I.M.C., ERP selection: a literature review, International Journal of Industrial and Systems Engineering, Vol.13(3), p.309, 2013.
16. Haddara, M., ERP Selection: The SMART Way, Procedia Technology, Vol.16, pp.394-403, 2014.
17. Kashani, M.R., ERP Implementation in Iran: (A Successful Experience in DGC), International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Vol.8(9), 2014.
18. Rouyendegh, B.D., Bac, U., and Erkan, T.E., Sector Selection for Erp Implementation to Achieve Most Impact on Supply Chain Performance by Using Ahp-Topsis Hybrid Method, Tehnicki Vjesnik-Technical Gazette, Vol.21(5), pp.933-937, 2014.
19. Şengül, U., Eren, M., Shiraz, S.E., Gezder, V., Şengül, A.B., Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey, Renewable Energy pp.617-625, 2015.
20. Nag, K., Helal, M., A Fuzzy TOPSIS Approach in Multi-Criteria Decision Making For Supplier Selection in a Pharmaceutical Distributor, 2016 IEMM International Conference, Indonesia, 2016.
21. Zavadskas, E.K., Turskis, Z., Mardani, A., Nor, K.M., Jusoh, A., Development of TOPSIS Method to Solve Complicated Decision-Making Problems: An Overview on Developments from 2000 to 2015, International Journal of Information Technology & Decision Making, Vol.15, No:3, pp.645-682, 2016.
22. Karlsson, J., Managing software requirements using quality function deployment, Software Quality Control, Vol.6(4), pp.311-326, 1997.
23. Sen, C.G., Baracli, H., Sen, S., and Basligil, H., An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection, Expert Systems with Applications, Vol.36(3), pp.5272-5283, 2009.
24. McCall, J., Richards, P., and Walters, G., Factors in Software Quality, Vol.3, 1977.
25. Alanbay, O., Erp Selection Using Expert Choice Software, Honolulu, Hawaii, July 8-10, 2005.
26. Karsak, E.E., and Özogul, C.O., An integrated decision making approach for ERP system selection, Expert Systems with Applications, Vol.36, pp.660-667, 2009.
27. Rouyendegh, B.D., and Erkan, T.E., ERP System Selection by AHP Method: Case Study From Turkey, International Journal of Business and Management Studies, Vol.3(1), pp.39-48, 2011.
28. Chen, T., Tsao, C., The Interval-Valued Fuzzy TOPSIS Method and Experimental Analysis, Fuzzy Sets And Systems, Vol.159, pp.1410-1428, 2008.
29. Triantaphyllou, E., Shu, B., Nieto Sanchez, S., and Ray, T., Multi-Criteria Decision Making: An Operations Research Approach, Encyclopedia of Electrical and Electronics Engineering, Vol.15, pp.175-186, 1998.
30. Küçük, O., Ecer, F., Bulanık TOPSIS Kullanılarak Tedarikçilerin Değerlendirilmesi ve Erzurum’da Bir Uygulama, Ekonomik ve Sosyal Araştırmalar Dergisi, Bahar 2007, Cilt:3, Yıl:3, Sayı:1, ss.45-65, 2007.
31. Zadeh, L.A., Knowledge Representation in Fuzzy Logic, Knowledge And Data Engineering, Vol.1(1), pp.89-99, 1989.
32. Klir, G.J., JUAN, B., Fuzzy Sets And Fuzzy Logic Theory And Applications, New Jersey: Prentice Hall Inc, 1995.
33. Nguyen, H.T., Wu, B., Fundamentals Of Statistics With Fuzzy Data Studies In Fuzziness And Soft Computing, Vol.198, Netherlands: Springer, 2006.
34. Chen, C.T., Extensions Of The TOPSIS For Group Decision-Making Under Fuzzy Environment, Fuzzy Sets and Systems, 114(1), pp.1-9, 2000.
35. Kargı, V.S.A., Supplier Selection for A Textile Company Using The Fuzzy TOPSIS Method, Yönetim ve Ekonomi, Cilt 23, Sayı 3, 2016.

Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	Türkçe
Konular	Makine Mühendisliği
Bölüm	Araştırma, Geliştirme ve Uygulama Makaleleri
Yazarlar	Barış Keçeci Batuhan Özdemir Bu kişi benim
Yayımlanma Tarihi	26 Eylül 2018
Gönderilme Tarihi	26 Şubat 2018
Yayımlandığı Sayı	Yıl 2017 Cilt: 15 Sayı: 2

Kaynak Göster

Vancouver	Keçeci B, Özdemir B. OSSA Gurubu Üyesi Bir Tasarım Firmasında Kalite Süreçleri Dikkate Alınarak ERP Yazılımı Seçimi. MATİM. 2018;15(2):47-5.

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