Comparative Analysis of Multi-Criteria Evaluation of Warehouse Location Problem Based on Grey Systems Theory and VIKOR Method

Öz

The warehouse location selection problem affects businesses and is one of the most important strategic decisions for the business executives in the long run. Generally, it can be solved by multi-criteria decision making methods. In this study, Grey Systems Theory and VIKOR (Vise Kriterijumska Optimizacija I Kopmpromisno Resenje) multi-criteria decision making methods were used to select the most suitable location according to the warehouse location selection problem. Both methods were evaluated in terms of a business operating in the food sector. These methods were analyzed by the warehouse location selection variables such as transportation cost, storage cost, labor cost, inventory handling costs, warehouse capacity, store distance, and distance to production center. Consequently, the methods provided the same results despite the differences in their methodologies.

Anahtar Kelimeler

• Multi-Criteria Decision Making,Location Selection,Warehouse Location Selection,Grey Systems Theory,VIKOR method

Depo Yeri Seçimi Probleminde Gri Sistem Teorisi ve VIKOR Yönteminin Karşılaştırmalı Analizi

Öz

Depo yeri seçimi problemleri, uzun vadede işletmeleri etkileyebilen ve işletme yöneticilerinin stratejik boyutta karar vermeleri gereken problemlerdir. Genellikle, çok boyutlu karar verme yöntemleri ile çözülebilmektedir. Çalışmamızda, depo yeri seçimi problemi açısından en uygun yerin seçilebilmesi amacıyla çok boyutlu karar verme yöntemlerinden Gri Sistem Teorisi ve VIKOR (Vise Kriterijumska Optimizacija I Kopmpromisno Resenje) yöntemleri kullanılmıştır. Her iki yöntem gıda sektöründe faaliyet gösteren bir işletme açısından değerlendirilmiştir. Bu yöntemler; ulaştırma, işyeri, işçilik ve stok bulundurma maliyetleri, depo kapasitesi, mağazalara uzaklık ve üretim merkezine uzaklık gibi depo yeri seçimi değişkenlerine göre analiz edilmiştir. Sonuç olarak, yöntemlerin farklı metodolojik alt yapıları olmasına karşın benzer sonuçlar verdiği görülmüştür. 

Anahtar Kelimeler

• Çok Boyutlu Karar Verme,Yer Seçimi,Depo Yeri Seçimi,Gri Sistem Teorisi,VIKOR Yöntemi

Kaynakça

1. AGHEZZAF, E., “Capacity Planning and Warehouse Location in Supply Chains with Uncertain Demands”. The Journal of the Operational Research Society, Vol. 56, No. 4, Apr. 2005, s. 453-462.
2. ASGRAFZADEH, Maysam… vd., “Application of Fuzzy Topsis Method for the Selection of Warehouse Location: A Case Study”. Interdisciplinary Journal of Contemporary Research in Business, Vol. 3, No. 9, 2012a., s. 651-671
3. ASGRAFZADEH, Maysam… vd., “ The Application of Fuzzy Analytic Hierarchy Process Approach for the Selection of Warehouse Location”: A Case Study, International Journal of Business and Social Science Vol. 3 No. 4 (Special Issue), 2012b, s. 112-137.
4. BALLOU, Ronald H., “Dynamic Warehouse Location Analysis”, Journal of Marketing Research, Vol. 5, No. 3, Aug., 1968, s. 271-276.
5. BAUMOL, William J. ve WOLFE, Philip, “A Warehouse-Location Problem”, Operations Research, Vol. 6, No. 2, Mar. - Apr., 1958, s. 252-263.
6. BRAHIMI, Nadjib ve KHAN, Sharfuddin A., “Warehouse Location With Production, Inventory, And Distribution Decisions: A Case Study in The Lube Oil Industry”, A Quarterly Journal of Operation Resaerch, Vol. 12, Issue 2, June 2014, s 175–197.
7. BRANDEAU, Margaret L. ve CHIU, Samuel S., “An Overview of Representative Problems in Location Research”, Management Science, Vol. 35, No. 6, Jun., 1989, s. 645-674.
8. DEMİREL, Tufan… vd., “Multi-Criteria Warehouse Location Selection Using Choquet Integral”, Expert Systems with Applications, 37, 2010, s. 3943–3952.

9. DREZNER, Zvi… vd. “The Central Warehouse Location Problem Revisited”, IMA Journal of Management Mathematics, 14.4, 2003, s. 321-336.
10. FELDMAN, E., “Warehouse Location Under Continuous Economies of Scale”, Management Science, Vol. 12, No. 9, Series A, Sciences, May, 1966, s. 670-684.
11. FRAZELLE, Edward H., Supply Chain Strategy, McGraw-Hill, Usa, 2002.
12. FUENTE, David de la ve LOZANO, Jesus, “Determinig Warehouse Number And Location in Spain By Cluster Analysis”, International Journal of Physical Distribution & Logistics Management, 28,1, 1997, s. 68-79.
13. GÖKTÜRK, G.F.… et. al., “Bir İşletmenin Tedarikçi Değerlendirme ve Seçim Probleminin Çözümünde ANP ve VIKOR Yöntemlerinin Kullanılması”, Dumlupınar Üniversitesi, Fen Bilimleri Enstitüsü Dergisi, 2011, s. 66.
14. HO, Peng-Kuan ve PERL, Jossef, “Warehouse Location Under Service-Sensitive Demand”, Journal of Business Logistic, Vol. 16, No. 1, 1995, s. 133-162.
15. JU, Yanbing ve WANG, Aihua, “Extension of VIKOR Method For Multi-Criteria Group Decision Making Problem With Linguistic Information”, Applied Mathematical Modelling 37, 2013, s. 3112–3125.
16. KHUMAWALA, Basheer M. ve KELLY, David L., “Capacitated Warehouse Location with Concave Costs”, The Journal of the Operational Research Society, Vol. 33, No. 9, Sep., 1982, s. 817-826.
17. KHUMAWALA, Basheer M., “An Efficient Branch and Bound Algorithm for the Warehouse Location Problem”, Management Science, Vol. 18, No. 12, Application Series, Aug., 1972, s. B718-B731.
18. LEEUW, Sander de ve MOK, Wing Yan, “An Empirical Analysis of Humanitarian Warehouse Locations”, Journal of Operations and Supply Chain Management, Volume 9, Number 1, 2016, s. 55 – 76.
19. LIU, Sifeng ve LIN, Yi, Grey Systems Theory and Applications, 2010 Springer –Verlag Berlin Heidelberg, 2010.
20. MACCARTHY, B. L., ve ATTHRIRAWONG, W., “Factors Effecting Location Decisions in International Operations-A Delphi Study”. International Journal of Operations and Production Management, Vol. 23, No. 7, 2003, s. 794-818.
21. OPRICOVIC, Serafim. “Multicriteria Optimization of Civil Engineering Systems”, Faculty of Civil Engineering, Belgrade, 2.1, 1998, s. 5-21.
22. OPRICOVIC, Serafim ve TZENG, Gwo-Hshiung, “Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS”, European Journal of Operational Research, Vol. 156, 16 July 2004, Issue. 2, s. 445-455.
23. OPRICOVIC, Serafim ve TZENG, Gwo-Hshiung, “Extended VIKOR Method in Comparison With Outranking Methods”, European Journal of Operational Research, Vol. 178, 16 April 2007, Issue. 2, s. 514-529.
24. ÖZCAN, Tuncay… vd., “Comparative Analysis of Multi-Criteria Decision Making Methodologies And Implementation of A Warehouse Location Selection Problem”, Expert Systems with Applications, 38, 2011, s. 9773–9779.
25. RAHIMNIA, Fariborz … vd., “Application of Grey theory Approach to Evaluation of Organizational Vision”, Grey Systems: Theory and Application Vol. 1 No. 1, 2011, s. 33-46.
26. RATH, Stefan ve GUTJAHR, Walter J., “A Math-Heuristic For The Warehouse Location–Routing Problem in Disaster Relief”, Computers & Operations Research, 42, 2014, s. 25–39.
27. RICHARDSON, D.… vd., “Factors Af¬fecting Global Inventory Prepositioning Locations in Humani¬tarian Logistics”. Journal of Business Logistics, 37(1), 2016, s. 59-74.
28. SHARMA, R.R.K ve BERRY, V., “Developing New Formulations And Relaxations of Single Stage Capacitated Warehouse Location Problem (SSCWLP): Empirical Investigation for Assessing Relative Strengths and Computational Effort”, European Journal of Operational Research, 177, 2007, s. 803–812.
29. SWEENY, Dennis J., ve TATHAM, Ronad L., “An Improved Long-Run Model for Multiple Warehouse Location”, Management Science, Vol. 22, No. 7, Mar., 1976, s. 748-758.
30. TONG, Lee-Ing… vd., “Optimization of Multi-response Processes Using the VIKOR Method”, Int J Adv Manuf Technol, 31, 2007, s. 1049–1057.
31. ÜSTER, Halit… vd. “Integrated Warehouse Location And Inventory Decisions in A Three-Tier Distribution System”, IIE Transactions, 40.8, 2008, s. 718-732.
32. VLACHOPOULOU, Maro… vd. “Geographic Information Systems in Warehouse Site Selection Decisions”, Int. J. Production Economics, 71, 2001, s. 205-212.
33. WAN, Yat-wah… vd. “Warehouse Location Problems for Air Freight Forwarders: A Challenge Created by the Airport Relocation”, Journal of Air Transport Management, 4, 1998, s. 201-207.