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Warehouse Location selection for an electricity distribution company by KEMIRA-M method

Yıl 2020, Cilt: 26 Sayı: 1, 227 - 240, 20.02.2020

Öz

In this study, by using Modified Kemeny Median Indicator Ranks Accordance (KEMIRA-M) approach which begins to become popular in recent times for solution of Multi criteria Decision Making (MCDM) problems, warehouse location selection for an electricity distribution company is performed. KEMIRA-M logically distinguishes criteria into two groups and it computes criteria importance weights by including interactions between both groups. KEMIRA-M considers both decision makers’ preferences related to the priorities of criteria and quantitative or qualitative values of these criteria in decision making process. Decision makers can change importance weights of criteria based on median priority component representing expected rankings of criteria importance weights and they can see the effect of this variability on rankings of alternatives. In warehouse location selection problem investigated in this study, it is aimed to choose the favorable location considering different criteria and these criteria were grouped firm related and environmental criteria to evaluate 20 alternative warehouse locations. In this context, as firm related criteria; Operation Center-Meeting Point (OC-MP) transportation cost per month, main warehouses’ transportation costs per month, number of connected OC-MP, consumption amounts of OC-MP were considered. Population, distance to the closest main road, average distance to main supplier, mobility, investment amounts in 2018, average delivery time and land cost were taken into account as environmental criteria group.

Kaynakça

  • Ramaa A, Subramanya KN, Rangaswamy TM. “Impact of warehouse management system in a supply chain”. International Journal of Computer Applications, 54(1), 14-20, 2012.
  • Škerlic S, Muha R. “Warehouse site selection in an international environment”. Transport Problems, 8(2), 95-106, 2013.
  • Demirel T, Çetin Demirel N, Kahraman C. “Multi-criteria warehouse location selection using Choquet integral”. ScienceDirect Expert Systems with Applications, 37(5), 3943-3952, 2019.
  • Drezner Z. Facility Location: A Survey of Applications and Methods. 1nd ed New York, USA, Springer-Verlag, 1995.
  • Han Y, Guan X, Shi L. “Optimal supply location selection and routing for emergency material delivery with uncertain demands”. 201O International Conference on Information, Networking and Automation (ICINA), Kunming, China, 18-19 October 2010.
  • Cao Q, Di X, Zhang X. “A simulated annealing methodology to estate logistic warehouse location selection and distribution of customers' requirement”. 2009 International Workshop on Intelligent Systems and Applications, USA, 30 November-2 December 2009.
  • Liang S, Tu Q. “Location selection for time limited aeronautical emergency material depot”. Proceedings of 2009 IEEE International Conference on Grey Systems and Intelligent Services, Nanjing, China, 10-12 November 2009.
  • Feng L, Huili X, Yongjian Y. “Study on fuzzy matter-element model based on grey relevancy analysis in comprehensive evaluation of logistics center location”.16th International Conference on Industrial Engineering and Engineering Management, Beijing, China, 21-23 October 2009.
  • Özcan T, Çelebi N, Esnaf S. “Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem”. Science Direct Expert Systems with Applications, 38(8), 9773-9779, 2011.
  • Natarajan Y, Dharmarajan R, Kanimozhi G, Anand M. “Comparative analysis for warehouse selection problem by using multi criteria decision making methodologies” International Conference on Application of Optimization Techniques in Engineering, At Kodaikannal, India, 27-28 September 2012.
  • Uysal F, Tosun O. “Selection of sustainable warehouse location in supply chain using the grey approach”. International Journal of Information and Decision Sciences, 6(4), 338-353, 2015.
  • Aktepe A, Ersöz S. “Application of AHP-VIKOR and MOORA methods in warehouse site selection problem”. Endüstri Mühendisliği Dergisi, 25(1-2), 2-15, 2014.
  • Erbaş M, Bali Ö, Durğut T. “Tehlikeli madde depo yeri seçiminin coğrafi bilgi sistemleri açısından değerlendirilmesi”. V. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu, İstanbul, Türkiye, 14-17 Ekim 2014.
  • Jayant, A. “Use of grey relational analysis in solving multiple attribute decision-making problem: A case study of warehouse location selection”. Advances in Industrial Engineering and Management, Research Gate, 4(2), 157-164, 2015.
  • Malmir B, Moein R, Chaharsooghi S. “Selecting warehouse location by means of the balancing and ranking method with an interval approach”. IEOM 2015-5th International Conference on Industrial Engineering and Operations Management, Proceeding, Dubai, United Arab Emirates, 3-5 March 2015.
  • Dey B, Bairagi B, Sarkar B, Sanyal SK. “Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria”. International Journal of Management Science and Engineering Management, 11(4) 262-278, 2015.
  • Mangalan AV, Kuriakose S, Mohamed H. “Optimal location of warehouse using weighted MOORA approach”. 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India, 3-5 March 2016
  • Zhu Y, Xue, X, Zhang K, Mao S, Gao H. “Applying probabilistic model checking to express delivery location selection and optimization”. 2016 IEEE 13th International Conference on e-Business Engineering (ICEBE), Macau, China, 4-6 November 2016.
  • Devangan LK. “An integrated production, inventory, warehouse location and distribution model”. Journal of Operations and Supply Chain Management, 9(2), 17-27, 2016.
  • Özbek A, Erol E. “COPRAS ve MOORA yöntemlerinin depo yeri seçim problemine uygulanması”. DergiPark Akademik, 2(1), 23-42, 2016.
  • Ercan Cömert S, Yener F. “Using fuzzy analytical hierarchy process for warehouse location selection in a food company”. International Journal of Economics and Administrative Sciences, 2(2), 161-177, 2016.
  • Sezer F, Bali O, Gürol P. “Hazardous materials warehouse selection as a multiple criteria decision making problem.” Journal of Economics Bibliography, 3(1), 63-73, 2016.
  • Dey B, Bairagi B, Sarkarb B, Sanyal SK.” Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain”. Computers & Industrial Engineering, Elsevier, 105, 101-122, 2017.
  • He J, Feng C, Hu D, Liang L. “A decision model for emergency warehouse location based on a novel stochastic MCDA method: evidence from China”. Hindawi Mathematical Problems in Engineering, 1(1), 1-10, 2017.
  • Gül E, Eren T. “Warehouse selection with analytic hierarchy process method and goal programming in logistic distribution network problems”. Harran University Journal of Engineering, 1(1), 1-13, 2017.
  • Shukla G, Hota HS, Sharma AS. “Multicriteria decision making based solution to location selection for modern agri-warehouses”. International Conference on Inventive Communication and Computational Technologies, Coimbatore, India, 10-11 March 2017
  • Büyüközkan G, Uztürk D. “Combined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selection”. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, 9-12 July 2017.
  • Chen C, Liu J, Li Q, Wang Y, Xiong H, Wu S. “Warehouse site selection for online retailers in inter-connected warehouse networks”. IEEE International Conference on Data Mining, New Orleans, USA, 18-11 November 2017
  • Izdebski M, Jacyna-Gołda I, Wasiak M, Jachimowski R, Kłodawski M, Pyza D, Zak J. “The application of the genetic algorithm to multı-criterıa warehouses location problems on the logıstics network”. Transport, 33(3), 741-750, 2018.
  • Jha M, Raut R, Gardas B, Raut V. “A sustainable warehouse selection: An interpretive structural modelling approach” International Journal of Procurement Management,11(2), 201-232, 2018.
  • Lin YS, Wanga KJ. “A two-stage stochastic optimization model for warehouse configuration and inventory policy of deteriorating items”. ScienceDirect Computers & Industrial Engineering, 120, 83-93, 2018.
  • Brunauda B, Bassettb MH, Agarwal A, Wassick JM, Grossmann IC. “Efficient formulations for dynamic warehouse location under discrete transportation costs”. Elsevier Computers& Chemical Engineering, 111, 311-323, 2018.
  • Kabak M, Keskin İ. “Hazardous Materials Warehouse Selection Based on GIS and MCDM”. Arabian Journal for Science and Engineering, 43, 6, 3269-3278, 2018.
  • Foroozesh N, Tavakkoli-Moghaddam R, Mousavi SM. “A novel group decision model based on mean-variance-skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty”. Neural Computing and Applications, 30(11), 3277-3293, 2018.
  • Emeç Ş, Akkaya G. “Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem”. Journal of Enterprise Information Management, 31(6), 950-962, 2018.
  • Singha KR, Chaudhary N, Saxena N. “Selection of warehouse location for a global supply chain: A case study”. IIMB Management Review, 30(4), 343-356, 2018.
  • Guo H, Pan W, Liu X, Li Y, Zeng B. “Combining a continuous location model and Heuristic techniques to determine oilfield warehouse locations under future oil well location uncertainty”. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 22(3), 823-837, 2018.
  • Krylovas A, Zavadskas EK, Kosareva N, Dadelo S. “New KEMIRA method for determining criteria priority and weights in solving MCDM problem”. International Journal of Information Technology & Decision Making, 13(6), 1119-1133, 2014.
  • Krylovas A, Kosareva N. “Gamyklos vietos parinkimo uždavinio sprendimas daugiakriteriniu KEMIRA metodu”. Lietuvous Matematikos Rinkinys LMD Darbai, Series B, 56, 18-23, 2015.
  • Toktaş P, Can GF. “Şantiyelerin iş sağlığıve güvenliği açısından risk düzeylerine göre KEMIRA-M yöntemi ile sıralanması”. Ulusal Ergonomi Kongresi, Erzurum, Türkiye, 28-30 Eylül 2018.
  • Delice EK, Arslan N. “KEMIRA-M yöntemi ile drone seçimi”. Ulusal Ergonomi Kongresi, Erzurum, Türkiye, 28-30 Eylül 2018.
  • Toktaş P, Can GF. “AHP based KEMIRA approach for shopping mall selection”. European Conf. Operational Research (EURO 2018), Valencia, Spain, 8-11 June 2018.
  • Krylovas A, Zavadskas EK, Kosareva N, Dadelo S. “Personnel Ranking and Selection Problem Solution by Application of KEMIRA Method”. International Journal of Computers Communications & Control, 11(1), 51-66, 2016.

Bir elektrik dağıtım firması için KEMIRA-M yöntemi ile depo yeri seçimi

Yıl 2020, Cilt: 26 Sayı: 1, 227 - 240, 20.02.2020

Öz

Bu çalışmada, Çok Kriterli Karar Verme (ÇKKV) problemlerinin çözümü için son zamanlarda popüler hale gelen Modifiye Edilmiş Kemeny Medyan Gösterge Sıralaması Uygunluk Yaklaşımı (Modified KEmeny Median Indicator Ranks Accordance, KEMIRA-M) kullanılarak; bir elektrik dağıtım şirketi için depo yeri seçimi gerçekleştirilmiştir. KEMIRA-M, kriterleri mantıksal olarak iki gruba ayırmakta ve her iki grup arasındaki etkileşimleri de kapsayarak kriter önem ağırlıklarını hesaplamaktadır. KEMIRA-M, karar vericilerin hem kriter öncelikleriyle ilgili tercihlerini hem de kriterlerin nicel veya nitel değerlerini dikkate almaktadır. Karar vericiler, kriterlerin önem ağırlıklarını medyan bileşen öncelikleri temelinde değiştirebilirler ve bu değişkenliğin etkilerini alternatiflerin sıralaması üzerinde görebilirler. Bu çalışmada incelenen depo yeri seçim probleminde farklı kriterler göz önünde bulundurularak en uygun yerin seçilmesi amaçlanmıştır. Bu kriterler 20 depo yeri alternatifinin değerlendirilmesi için çevresel ve firma ile ilişkili kriterler olmak üzere iki gruba ayrılmıştır. Bu kapsamda, firma ilişkili kriterler olarak; Operasyon Merkezi-Buluşma Noktası Depolarının (OC-MP) aylık ulaşım maliyetleri, 2018 yatırım tutarları, aylık ana depolar arası ulaşım maliyetleri, bağlı OC-MP sayısı ve OC-MP tüketim tutarları dikkate alınmıştır. Çevresel kriterler olarak; nüfus, en yakın ana yola uzaklık, ana tedarikçiye ortalama uzaklık, hareket esnekliği, ortalama teslimat süresi ve arazi maliyeti göz önünde bulundurulmuştur.

Kaynakça

  • Ramaa A, Subramanya KN, Rangaswamy TM. “Impact of warehouse management system in a supply chain”. International Journal of Computer Applications, 54(1), 14-20, 2012.
  • Škerlic S, Muha R. “Warehouse site selection in an international environment”. Transport Problems, 8(2), 95-106, 2013.
  • Demirel T, Çetin Demirel N, Kahraman C. “Multi-criteria warehouse location selection using Choquet integral”. ScienceDirect Expert Systems with Applications, 37(5), 3943-3952, 2019.
  • Drezner Z. Facility Location: A Survey of Applications and Methods. 1nd ed New York, USA, Springer-Verlag, 1995.
  • Han Y, Guan X, Shi L. “Optimal supply location selection and routing for emergency material delivery with uncertain demands”. 201O International Conference on Information, Networking and Automation (ICINA), Kunming, China, 18-19 October 2010.
  • Cao Q, Di X, Zhang X. “A simulated annealing methodology to estate logistic warehouse location selection and distribution of customers' requirement”. 2009 International Workshop on Intelligent Systems and Applications, USA, 30 November-2 December 2009.
  • Liang S, Tu Q. “Location selection for time limited aeronautical emergency material depot”. Proceedings of 2009 IEEE International Conference on Grey Systems and Intelligent Services, Nanjing, China, 10-12 November 2009.
  • Feng L, Huili X, Yongjian Y. “Study on fuzzy matter-element model based on grey relevancy analysis in comprehensive evaluation of logistics center location”.16th International Conference on Industrial Engineering and Engineering Management, Beijing, China, 21-23 October 2009.
  • Özcan T, Çelebi N, Esnaf S. “Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem”. Science Direct Expert Systems with Applications, 38(8), 9773-9779, 2011.
  • Natarajan Y, Dharmarajan R, Kanimozhi G, Anand M. “Comparative analysis for warehouse selection problem by using multi criteria decision making methodologies” International Conference on Application of Optimization Techniques in Engineering, At Kodaikannal, India, 27-28 September 2012.
  • Uysal F, Tosun O. “Selection of sustainable warehouse location in supply chain using the grey approach”. International Journal of Information and Decision Sciences, 6(4), 338-353, 2015.
  • Aktepe A, Ersöz S. “Application of AHP-VIKOR and MOORA methods in warehouse site selection problem”. Endüstri Mühendisliği Dergisi, 25(1-2), 2-15, 2014.
  • Erbaş M, Bali Ö, Durğut T. “Tehlikeli madde depo yeri seçiminin coğrafi bilgi sistemleri açısından değerlendirilmesi”. V. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu, İstanbul, Türkiye, 14-17 Ekim 2014.
  • Jayant, A. “Use of grey relational analysis in solving multiple attribute decision-making problem: A case study of warehouse location selection”. Advances in Industrial Engineering and Management, Research Gate, 4(2), 157-164, 2015.
  • Malmir B, Moein R, Chaharsooghi S. “Selecting warehouse location by means of the balancing and ranking method with an interval approach”. IEOM 2015-5th International Conference on Industrial Engineering and Operations Management, Proceeding, Dubai, United Arab Emirates, 3-5 March 2015.
  • Dey B, Bairagi B, Sarkar B, Sanyal SK. “Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria”. International Journal of Management Science and Engineering Management, 11(4) 262-278, 2015.
  • Mangalan AV, Kuriakose S, Mohamed H. “Optimal location of warehouse using weighted MOORA approach”. 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India, 3-5 March 2016
  • Zhu Y, Xue, X, Zhang K, Mao S, Gao H. “Applying probabilistic model checking to express delivery location selection and optimization”. 2016 IEEE 13th International Conference on e-Business Engineering (ICEBE), Macau, China, 4-6 November 2016.
  • Devangan LK. “An integrated production, inventory, warehouse location and distribution model”. Journal of Operations and Supply Chain Management, 9(2), 17-27, 2016.
  • Özbek A, Erol E. “COPRAS ve MOORA yöntemlerinin depo yeri seçim problemine uygulanması”. DergiPark Akademik, 2(1), 23-42, 2016.
  • Ercan Cömert S, Yener F. “Using fuzzy analytical hierarchy process for warehouse location selection in a food company”. International Journal of Economics and Administrative Sciences, 2(2), 161-177, 2016.
  • Sezer F, Bali O, Gürol P. “Hazardous materials warehouse selection as a multiple criteria decision making problem.” Journal of Economics Bibliography, 3(1), 63-73, 2016.
  • Dey B, Bairagi B, Sarkarb B, Sanyal SK.” Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain”. Computers & Industrial Engineering, Elsevier, 105, 101-122, 2017.
  • He J, Feng C, Hu D, Liang L. “A decision model for emergency warehouse location based on a novel stochastic MCDA method: evidence from China”. Hindawi Mathematical Problems in Engineering, 1(1), 1-10, 2017.
  • Gül E, Eren T. “Warehouse selection with analytic hierarchy process method and goal programming in logistic distribution network problems”. Harran University Journal of Engineering, 1(1), 1-13, 2017.
  • Shukla G, Hota HS, Sharma AS. “Multicriteria decision making based solution to location selection for modern agri-warehouses”. International Conference on Inventive Communication and Computational Technologies, Coimbatore, India, 10-11 March 2017
  • Büyüközkan G, Uztürk D. “Combined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selection”. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, 9-12 July 2017.
  • Chen C, Liu J, Li Q, Wang Y, Xiong H, Wu S. “Warehouse site selection for online retailers in inter-connected warehouse networks”. IEEE International Conference on Data Mining, New Orleans, USA, 18-11 November 2017
  • Izdebski M, Jacyna-Gołda I, Wasiak M, Jachimowski R, Kłodawski M, Pyza D, Zak J. “The application of the genetic algorithm to multı-criterıa warehouses location problems on the logıstics network”. Transport, 33(3), 741-750, 2018.
  • Jha M, Raut R, Gardas B, Raut V. “A sustainable warehouse selection: An interpretive structural modelling approach” International Journal of Procurement Management,11(2), 201-232, 2018.
  • Lin YS, Wanga KJ. “A two-stage stochastic optimization model for warehouse configuration and inventory policy of deteriorating items”. ScienceDirect Computers & Industrial Engineering, 120, 83-93, 2018.
  • Brunauda B, Bassettb MH, Agarwal A, Wassick JM, Grossmann IC. “Efficient formulations for dynamic warehouse location under discrete transportation costs”. Elsevier Computers& Chemical Engineering, 111, 311-323, 2018.
  • Kabak M, Keskin İ. “Hazardous Materials Warehouse Selection Based on GIS and MCDM”. Arabian Journal for Science and Engineering, 43, 6, 3269-3278, 2018.
  • Foroozesh N, Tavakkoli-Moghaddam R, Mousavi SM. “A novel group decision model based on mean-variance-skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty”. Neural Computing and Applications, 30(11), 3277-3293, 2018.
  • Emeç Ş, Akkaya G. “Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem”. Journal of Enterprise Information Management, 31(6), 950-962, 2018.
  • Singha KR, Chaudhary N, Saxena N. “Selection of warehouse location for a global supply chain: A case study”. IIMB Management Review, 30(4), 343-356, 2018.
  • Guo H, Pan W, Liu X, Li Y, Zeng B. “Combining a continuous location model and Heuristic techniques to determine oilfield warehouse locations under future oil well location uncertainty”. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 22(3), 823-837, 2018.
  • Krylovas A, Zavadskas EK, Kosareva N, Dadelo S. “New KEMIRA method for determining criteria priority and weights in solving MCDM problem”. International Journal of Information Technology & Decision Making, 13(6), 1119-1133, 2014.
  • Krylovas A, Kosareva N. “Gamyklos vietos parinkimo uždavinio sprendimas daugiakriteriniu KEMIRA metodu”. Lietuvous Matematikos Rinkinys LMD Darbai, Series B, 56, 18-23, 2015.
  • Toktaş P, Can GF. “Şantiyelerin iş sağlığıve güvenliği açısından risk düzeylerine göre KEMIRA-M yöntemi ile sıralanması”. Ulusal Ergonomi Kongresi, Erzurum, Türkiye, 28-30 Eylül 2018.
  • Delice EK, Arslan N. “KEMIRA-M yöntemi ile drone seçimi”. Ulusal Ergonomi Kongresi, Erzurum, Türkiye, 28-30 Eylül 2018.
  • Toktaş P, Can GF. “AHP based KEMIRA approach for shopping mall selection”. European Conf. Operational Research (EURO 2018), Valencia, Spain, 8-11 June 2018.
  • Krylovas A, Zavadskas EK, Kosareva N, Dadelo S. “Personnel Ranking and Selection Problem Solution by Application of KEMIRA Method”. International Journal of Computers Communications & Control, 11(1), 51-66, 2016.
Toplam 43 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makale
Yazarlar

Öznil Kış Bu kişi benim

Gülin Feryal Can Bu kişi benim

Pelin Toktaş Bu kişi benim

Yayımlanma Tarihi 20 Şubat 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 26 Sayı: 1

Kaynak Göster

APA Kış, Ö., Can, G. F., & Toktaş, P. (2020). Warehouse Location selection for an electricity distribution company by KEMIRA-M method. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 26(1), 227-240.
AMA Kış Ö, Can GF, Toktaş P. Warehouse Location selection for an electricity distribution company by KEMIRA-M method. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Şubat 2020;26(1):227-240.
Chicago Kış, Öznil, Gülin Feryal Can, ve Pelin Toktaş. “Warehouse Location Selection for an Electricity Distribution Company by KEMIRA-M Method”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26, sy. 1 (Şubat 2020): 227-40.
EndNote Kış Ö, Can GF, Toktaş P (01 Şubat 2020) Warehouse Location selection for an electricity distribution company by KEMIRA-M method. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 1 227–240.
IEEE Ö. Kış, G. F. Can, ve P. Toktaş, “Warehouse Location selection for an electricity distribution company by KEMIRA-M method”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 26, sy. 1, ss. 227–240, 2020.
ISNAD Kış, Öznil vd. “Warehouse Location Selection for an Electricity Distribution Company by KEMIRA-M Method”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26/1 (Şubat 2020), 227-240.
JAMA Kış Ö, Can GF, Toktaş P. Warehouse Location selection for an electricity distribution company by KEMIRA-M method. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26:227–240.
MLA Kış, Öznil vd. “Warehouse Location Selection for an Electricity Distribution Company by KEMIRA-M Method”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 26, sy. 1, 2020, ss. 227-40.
Vancouver Kış Ö, Can GF, Toktaş P. Warehouse Location selection for an electricity distribution company by KEMIRA-M method. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26(1):227-40.





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