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AN INTEGRATED DEMATEL-ANP-VIKOR APPROACH FOR FOOD DISTRIBUTION CENTER SITE SELECTION: A CASE STUDY OF GEORGIA

Year 2019, Volume: 6 Issue: 1, 10 - 20, 30.03.2019
https://doi.org/10.17261/Pressacademia.2019.1030

Abstract

Purpose - Distrution center location selection is a long-term strategic decision. In this study, it is aimed to present an approach for food distribution center location in Tbilisi, Georgia.

Methodology - The proposed integrated approach includes three stages. In the first stage, the relationships between the criteria were determined by DEMATEL. Then, the criteria were weighted by ANP. In the last stage, the most suitable food distribution center was chosen by VIKOR.

Findings - According to results of the study, transportation is the most important criterion, and Gori is the most suitable food distribution center alternative.

References

  • Aliyev, E. (2010). Conjoncture economique exterieure de la georgie dans le contexte de l’integration a l’economie mondiale. Universite Galatasaray, Intitut Des Sciences Sociales, Departement de Relations Internationales, These de Master Recherche.
  • Ambrosıno, D., Scutella M. G. (2005). Distribution network design: New problems and related models. European Journal of Operational Research 165, 610–624.
  • Avittathur, B., Shah, J., Gupta, O. K. (2005). Distribution centre location modelling for differential sales tax structure. European Journal of Operational Research, 162(1), 191–205.
  • Awasthi, A., Chauhan, S. S., Goyal, S. K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53(1–2), 98–109.
  • Ballis, A., Mavrotas, G. (2007). Freight village design using the multicriteria method PROMETHEE. Operational Research, 7(2), 213–231.
  • Bamyaci M., Tanyaş M. (2008), A multi-criteria decision making model for the problem of location selection in the organized logistics region; AHP-SAW. Mersin Symposium, 19-22 November 2008, 1217-1230.
  • Baohua, W., Shiwei, H.E., (2009). Robust optimization model and algorithm for logistics center location and allocation under uncertain environment. Journal of Transportation Systems Engineering and Information Technology, Volume 9, Issue 2, 69-74.
  • Chen, C. T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118, 65–73.
  • Chen, Y., Qu, L. (2006). Evaluating the selection of logistics centre location using fuzzy MCDM model based on entropy weight. Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 2, 7128–7132.
  • Chen, L. Y., Wang, T. C. (2009). Optimizing partners’ choice in IS/ IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120, 233-242.
  • Chiu, Y. J., Chen, H. C., Tzeng, G. H., Shyu, J. Z. (2006). Marketing strategy based on customer behavior for the LCD-TV. International Journal of Management and Decision Making, 7(2-3), 143–165.
  • Chu M. T., Shyu, J., Tzeng, G. H., Khosla, R. (2007). Comparison among three analytical methods for knowledge communities group-decision analysis. Expert Systems With Applications, 33(4): 1011-1024.
  • Dheena, P., Mohanraj, G. (2011). Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection. Expert Systems with Applications, 38(10), 13260–13265.
  • Demirtas, N. (2014). Optimization models for layout of urban distribution center: An application of fruits vegetables halls. Yildiz Technical University, Graduate School of Natural and Applied Sciences, PhD. Thesis.
  • Elgün, M. N., Elitas, C. (2011). Modal proposal for choosing of logistic village regarding regional, national and international transportation and trade. Celal Bayar University Sosyal Bilimler Dergisi, 9 (2), 38-44.
  • Erkayman, B., Gundogar, E., Akkaya, G., Ipek, M. (2011). A fuzzy TOPSIS approach for logistics center location selection. Journal of Business Case Studies, 7(3), 49–54.
  • Eryuruk, S. H., Kalaoglu, F., Baskak, M. (2011). Logistics as a competitive strategy analysis of the clothing industry in terms of logistics. Fibres & Textiles In Eastern Europe, 19(1), 12-17.
  • Farahani, R. Z., Asgari, N. (2007). Combination of MCDM and covering techniques in a hierarchical model for facility location: a case Study. European Journal of Operational Research, 176(3), 1839–1858.
  • Gabus, A., Fontela, E. (1972). World problems: an invitation to further thought within the framework of DEMATEL. Switzerland, Geneva: Battelle Geneva Research Centre.
  • Ghoseiri, K., Lessan, J. (2008). Location selection for logistic centres using a two-step fuzzy AHP and ELECTE method. Proceedings of the 9th Asia Pasific Industrial Engineering & Management Systems Conference, Indonesia, 434-440.
  • Gorgulu, H. (2012). Lojistik köyler ve Konya uygulamasi. Bahçeşehir University, Graduate School of Natural and Applied Sciences, Master’s Thesis, İstanbul.
  • Imren, E. (2011). Mobilya endüstrisinde analitik hiyerarşi prosesi (AHP) yöntemi ile kuruluş yeri seçimi. Bartin University, Graduate School of Natural and Applied Sciences, M. Sc. Thesis, Bartin.
  • Janjevic M., Lebeau P., Ballé Ndiaye A., Macharis C., Van Mierlo J., Nsamzinshuti A. (2016). Strategic scenarios for sustainable urban distribution in the Brussels capital region using urban consolidation centres. Transportation Research Procedia, Vol. 12., pp. 598-612.
  • Jharkharıa, S., Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, Vol. 35, No: 3, 274 – 289.
  • Ji, L., Huailin, D. (2009). Research on logistics distribution center location problem based on genetic algorithm and AHP. Proceedings of 4th International Conference on Computer Science & Education Research on Logistics, 25-28 July 2009, Nanning, China.
  • Kayikci, Y. (2010). A conceptual model for intermodal freight logistics centre location decisions. Procedia - Social and Behavioral Sciences, 2(3), 6297–6311.
  • Kuo, M. S. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6), 7208–7221.
  • Li, Y., Liu, X., Chen, Y. (2010). Selection of logistics center location using axiomatic fuzzy set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6): 7901-7908.
  • Liou, J. J. H., Tzeng, G. H., Chang, H. C. (2007). Airline safety measurement using a hybrid model. Air Transport Management, 13(4): 243-249.
  • Liu, S., Chan, F. T. S., Chung, S. H. (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and Computer-Integrated Manufacturing, 27(2), 426–433.
  • Nozick, L. K., Turnquist, M. A. (2001). A two-echelon inventory allocation and distribution center location analysis. Transportation Research Part E: Logistics and Transportation Review, 37(6), 425–441.
  • Opricovic, S., Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156, 445–455.
  • Opricovic, S., Tzeng, G. H. (2007). Extended VIKOR Method in Comparison with Outranking Methods. European Journal of Operational Research, 178, 514–529.
  • Omurbek, N., Simsek, A. (2014). Selection of Online Shopping Site Based on Analytic Hierarchy Process and Analytic Network Process Methods. Yönetim ve Ekonomi Araştırmaları Dergisi, 22, 306-327.
  • Onder, E., Yildirim, B. F. (2014). VIKOR method for ranking logistic villages in Turkey. Journal of Management and Economic Research, 12(23), 293- 314.
  • Onel, F. (2014). Kuruluş yeri seçiminin çok kriterli karar verme yöntemleriyle uygulanmasi. Pamukkale University, Department of Business Administration, Master’s Thesis, Denizli.
  • Ozceylan, E., Erbaş, M., Tolon, M., Kabak, M., Durgut, T. (2016). Evaluation of freight villages: A GIS-Based multi-criteria decision analysis. Computers in Industry, 76, 38-52.
  • Peker, I., Baki, B., Tanyas, M., Ar, I. M. (2016). Logistics center site selection by ANP/BOCR analysis: A case study of Turkey. Journal of Intelligent & Fuzzy Systems, 30(4), 2383-2396.
  • Pınar, I. (1989). İşletmelerde kuruluş yeri seçimi. İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü Yönetim ve Organizasyon Anabilim Dalı, Master Thesis, İstanbul.
  • Regmi, M. B., Hanaoka, S. (2013). Location analysis of logistics centres in Laos. International Journal of Logistics Research and Applications, 16(3), 227–242.
  • Ross, A., Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19–32.
  • Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operations Research, 48(3), 9-26.
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, Vol. 1, No. 1, 83-98.
  • Serdar, T. M. (2008). Analitik hiyerarşi süreci yöntemiyle süpermarket kuruluş yeri seçimi. Anadolu University, Sosyal Bilimler Enstitüsü, Master’s Thesis, Eskişehir.
  • Sheng, L. S., You, X. Y., Liu, H. C., Zhang, P. (2018). DEMATEL technique: A systematic review of the state of the art literature on methodologies and applications. Mathematical Problems in Engineering, 2018, 33.
  • Shieh, J. I., Wu, H. H., Huang, K. K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23, 277-282.
  • Stević, Ž., Vesković, S., Vasiljević, M., Tepić, G. (2015). The selection of the logistics center location using AHP method. University of Belgrade, Faculty of Transport and Traffic Engineering, LOGIC, Belgrade, 86-91.
  • Taniguchi, E., Norıtake, M., Yamada, T., Izumitanı, T. (1999). Optimal size and location planning of publics logistics terminals. Transportation Research Part E, Vol: 35, p.207- 222.
  • Tbilisi Turkish Craftsmanship/Commercial Consultancy, (2017).
  • Titvinidze, T. (2010). Cari açiğin finansmaninda turizm sektörünün rolü ve Gürcistan örneği. İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İktisat Anabilim Dalı, Yüksek Lisans Tezi.
  • Tomić, V., Marinković, D., Marković, D. (2014). The selection of logistic centers location using multi-criteria comparison: Case study of the Balkan Peninsula. Acta Polytechnica Hungarica, 11(10), 97–113.
  • Turkish Embassy Commercial Consultancy (2016). Georgia Report / www.ekonomi.gov.tr.
  • Tzeng, G. H., Huang, J. J. (2011). Multiple attribute decision making: methods and applications. CRC Press: Boca Raton, FL, USA.
  • Xing, M., Wang, Z., Cheng, G., Zhang, Q. (2011). Study on location adjustment model of store area in distribution center based on shortest picking time. Procedia Engineering, 24:604– 609.
  • Uyanik, C. (2016). Institute for graduate studies in pure and applied sciences an integrated DEMATEL – Intuitionistic fuzzy TOPSIS methodology for logistics centers location selection. Marmara Unıversity ,Department Of Industrial Engineering, master¨s thesis.
  • Yang, L., Ji, X., Gao, Z., Li, K. (2007). Logistics distribution centers location problem and algorithm under fuzzy environment. Journal of Computational and Applied Mathematics, 208(2), 303–315.
  • Yildiz, A., Deveci, M. (2013). Process of selection of personnel based on fuzzy VIKOR method. Ege Academic Review, 13 (4): 427-436.
  • Wang, S., Liu, P. (2007). The evaluation study on location selection of logistics based on fuzzy AHP and TOPSIS. IEEE, 1-4244-1322-5/07.
  • Zak, J., Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564.
  • Zhu, X., Zhang, R., Chu, F., He, Z., Li, J. (2014). A flexsim-based optimization for the operation process of cold-chain logistics distribution centre. Journal of Applied Research and Technology, 12(2), 270–278.
Year 2019, Volume: 6 Issue: 1, 10 - 20, 30.03.2019
https://doi.org/10.17261/Pressacademia.2019.1030

Abstract

References

  • Aliyev, E. (2010). Conjoncture economique exterieure de la georgie dans le contexte de l’integration a l’economie mondiale. Universite Galatasaray, Intitut Des Sciences Sociales, Departement de Relations Internationales, These de Master Recherche.
  • Ambrosıno, D., Scutella M. G. (2005). Distribution network design: New problems and related models. European Journal of Operational Research 165, 610–624.
  • Avittathur, B., Shah, J., Gupta, O. K. (2005). Distribution centre location modelling for differential sales tax structure. European Journal of Operational Research, 162(1), 191–205.
  • Awasthi, A., Chauhan, S. S., Goyal, S. K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53(1–2), 98–109.
  • Ballis, A., Mavrotas, G. (2007). Freight village design using the multicriteria method PROMETHEE. Operational Research, 7(2), 213–231.
  • Bamyaci M., Tanyaş M. (2008), A multi-criteria decision making model for the problem of location selection in the organized logistics region; AHP-SAW. Mersin Symposium, 19-22 November 2008, 1217-1230.
  • Baohua, W., Shiwei, H.E., (2009). Robust optimization model and algorithm for logistics center location and allocation under uncertain environment. Journal of Transportation Systems Engineering and Information Technology, Volume 9, Issue 2, 69-74.
  • Chen, C. T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118, 65–73.
  • Chen, Y., Qu, L. (2006). Evaluating the selection of logistics centre location using fuzzy MCDM model based on entropy weight. Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 2, 7128–7132.
  • Chen, L. Y., Wang, T. C. (2009). Optimizing partners’ choice in IS/ IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120, 233-242.
  • Chiu, Y. J., Chen, H. C., Tzeng, G. H., Shyu, J. Z. (2006). Marketing strategy based on customer behavior for the LCD-TV. International Journal of Management and Decision Making, 7(2-3), 143–165.
  • Chu M. T., Shyu, J., Tzeng, G. H., Khosla, R. (2007). Comparison among three analytical methods for knowledge communities group-decision analysis. Expert Systems With Applications, 33(4): 1011-1024.
  • Dheena, P., Mohanraj, G. (2011). Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection. Expert Systems with Applications, 38(10), 13260–13265.
  • Demirtas, N. (2014). Optimization models for layout of urban distribution center: An application of fruits vegetables halls. Yildiz Technical University, Graduate School of Natural and Applied Sciences, PhD. Thesis.
  • Elgün, M. N., Elitas, C. (2011). Modal proposal for choosing of logistic village regarding regional, national and international transportation and trade. Celal Bayar University Sosyal Bilimler Dergisi, 9 (2), 38-44.
  • Erkayman, B., Gundogar, E., Akkaya, G., Ipek, M. (2011). A fuzzy TOPSIS approach for logistics center location selection. Journal of Business Case Studies, 7(3), 49–54.
  • Eryuruk, S. H., Kalaoglu, F., Baskak, M. (2011). Logistics as a competitive strategy analysis of the clothing industry in terms of logistics. Fibres & Textiles In Eastern Europe, 19(1), 12-17.
  • Farahani, R. Z., Asgari, N. (2007). Combination of MCDM and covering techniques in a hierarchical model for facility location: a case Study. European Journal of Operational Research, 176(3), 1839–1858.
  • Gabus, A., Fontela, E. (1972). World problems: an invitation to further thought within the framework of DEMATEL. Switzerland, Geneva: Battelle Geneva Research Centre.
  • Ghoseiri, K., Lessan, J. (2008). Location selection for logistic centres using a two-step fuzzy AHP and ELECTE method. Proceedings of the 9th Asia Pasific Industrial Engineering & Management Systems Conference, Indonesia, 434-440.
  • Gorgulu, H. (2012). Lojistik köyler ve Konya uygulamasi. Bahçeşehir University, Graduate School of Natural and Applied Sciences, Master’s Thesis, İstanbul.
  • Imren, E. (2011). Mobilya endüstrisinde analitik hiyerarşi prosesi (AHP) yöntemi ile kuruluş yeri seçimi. Bartin University, Graduate School of Natural and Applied Sciences, M. Sc. Thesis, Bartin.
  • Janjevic M., Lebeau P., Ballé Ndiaye A., Macharis C., Van Mierlo J., Nsamzinshuti A. (2016). Strategic scenarios for sustainable urban distribution in the Brussels capital region using urban consolidation centres. Transportation Research Procedia, Vol. 12., pp. 598-612.
  • Jharkharıa, S., Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, Vol. 35, No: 3, 274 – 289.
  • Ji, L., Huailin, D. (2009). Research on logistics distribution center location problem based on genetic algorithm and AHP. Proceedings of 4th International Conference on Computer Science & Education Research on Logistics, 25-28 July 2009, Nanning, China.
  • Kayikci, Y. (2010). A conceptual model for intermodal freight logistics centre location decisions. Procedia - Social and Behavioral Sciences, 2(3), 6297–6311.
  • Kuo, M. S. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6), 7208–7221.
  • Li, Y., Liu, X., Chen, Y. (2010). Selection of logistics center location using axiomatic fuzzy set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6): 7901-7908.
  • Liou, J. J. H., Tzeng, G. H., Chang, H. C. (2007). Airline safety measurement using a hybrid model. Air Transport Management, 13(4): 243-249.
  • Liu, S., Chan, F. T. S., Chung, S. H. (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and Computer-Integrated Manufacturing, 27(2), 426–433.
  • Nozick, L. K., Turnquist, M. A. (2001). A two-echelon inventory allocation and distribution center location analysis. Transportation Research Part E: Logistics and Transportation Review, 37(6), 425–441.
  • Opricovic, S., Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156, 445–455.
  • Opricovic, S., Tzeng, G. H. (2007). Extended VIKOR Method in Comparison with Outranking Methods. European Journal of Operational Research, 178, 514–529.
  • Omurbek, N., Simsek, A. (2014). Selection of Online Shopping Site Based on Analytic Hierarchy Process and Analytic Network Process Methods. Yönetim ve Ekonomi Araştırmaları Dergisi, 22, 306-327.
  • Onder, E., Yildirim, B. F. (2014). VIKOR method for ranking logistic villages in Turkey. Journal of Management and Economic Research, 12(23), 293- 314.
  • Onel, F. (2014). Kuruluş yeri seçiminin çok kriterli karar verme yöntemleriyle uygulanmasi. Pamukkale University, Department of Business Administration, Master’s Thesis, Denizli.
  • Ozceylan, E., Erbaş, M., Tolon, M., Kabak, M., Durgut, T. (2016). Evaluation of freight villages: A GIS-Based multi-criteria decision analysis. Computers in Industry, 76, 38-52.
  • Peker, I., Baki, B., Tanyas, M., Ar, I. M. (2016). Logistics center site selection by ANP/BOCR analysis: A case study of Turkey. Journal of Intelligent & Fuzzy Systems, 30(4), 2383-2396.
  • Pınar, I. (1989). İşletmelerde kuruluş yeri seçimi. İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü Yönetim ve Organizasyon Anabilim Dalı, Master Thesis, İstanbul.
  • Regmi, M. B., Hanaoka, S. (2013). Location analysis of logistics centres in Laos. International Journal of Logistics Research and Applications, 16(3), 227–242.
  • Ross, A., Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19–32.
  • Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operations Research, 48(3), 9-26.
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, Vol. 1, No. 1, 83-98.
  • Serdar, T. M. (2008). Analitik hiyerarşi süreci yöntemiyle süpermarket kuruluş yeri seçimi. Anadolu University, Sosyal Bilimler Enstitüsü, Master’s Thesis, Eskişehir.
  • Sheng, L. S., You, X. Y., Liu, H. C., Zhang, P. (2018). DEMATEL technique: A systematic review of the state of the art literature on methodologies and applications. Mathematical Problems in Engineering, 2018, 33.
  • Shieh, J. I., Wu, H. H., Huang, K. K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23, 277-282.
  • Stević, Ž., Vesković, S., Vasiljević, M., Tepić, G. (2015). The selection of the logistics center location using AHP method. University of Belgrade, Faculty of Transport and Traffic Engineering, LOGIC, Belgrade, 86-91.
  • Taniguchi, E., Norıtake, M., Yamada, T., Izumitanı, T. (1999). Optimal size and location planning of publics logistics terminals. Transportation Research Part E, Vol: 35, p.207- 222.
  • Tbilisi Turkish Craftsmanship/Commercial Consultancy, (2017).
  • Titvinidze, T. (2010). Cari açiğin finansmaninda turizm sektörünün rolü ve Gürcistan örneği. İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İktisat Anabilim Dalı, Yüksek Lisans Tezi.
  • Tomić, V., Marinković, D., Marković, D. (2014). The selection of logistic centers location using multi-criteria comparison: Case study of the Balkan Peninsula. Acta Polytechnica Hungarica, 11(10), 97–113.
  • Turkish Embassy Commercial Consultancy (2016). Georgia Report / www.ekonomi.gov.tr.
  • Tzeng, G. H., Huang, J. J. (2011). Multiple attribute decision making: methods and applications. CRC Press: Boca Raton, FL, USA.
  • Xing, M., Wang, Z., Cheng, G., Zhang, Q. (2011). Study on location adjustment model of store area in distribution center based on shortest picking time. Procedia Engineering, 24:604– 609.
  • Uyanik, C. (2016). Institute for graduate studies in pure and applied sciences an integrated DEMATEL – Intuitionistic fuzzy TOPSIS methodology for logistics centers location selection. Marmara Unıversity ,Department Of Industrial Engineering, master¨s thesis.
  • Yang, L., Ji, X., Gao, Z., Li, K. (2007). Logistics distribution centers location problem and algorithm under fuzzy environment. Journal of Computational and Applied Mathematics, 208(2), 303–315.
  • Yildiz, A., Deveci, M. (2013). Process of selection of personnel based on fuzzy VIKOR method. Ege Academic Review, 13 (4): 427-436.
  • Wang, S., Liu, P. (2007). The evaluation study on location selection of logistics based on fuzzy AHP and TOPSIS. IEEE, 1-4244-1322-5/07.
  • Zak, J., Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564.
  • Zhu, X., Zhang, R., Chu, F., He, Z., Li, J. (2014). A flexsim-based optimization for the operation process of cold-chain logistics distribution centre. Journal of Applied Research and Technology, 12(2), 270–278.
There are 60 citations in total.

Details

Primary Language English
Subjects Behaviour-Personality Assessment in Psychology, Business Administration
Journal Section Articles
Authors

Burcu Sayin Okatan 0000-0002-2911-4568

İskender Peker 0000-0001-6402-5117

Birdogan Baki 0000-0002-6401-0449

Publication Date March 30, 2019
Published in Issue Year 2019 Volume: 6 Issue: 1

Cite

APA Okatan, B. S., Peker, İ., & Baki, B. (2019). AN INTEGRATED DEMATEL-ANP-VIKOR APPROACH FOR FOOD DISTRIBUTION CENTER SITE SELECTION: A CASE STUDY OF GEORGIA. Journal of Management Marketing and Logistics, 6(1), 10-20. https://doi.org/10.17261/Pressacademia.2019.1030

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