تعداد نشریات | 161 |
تعداد شمارهها | 6,532 |
تعداد مقالات | 70,501 |
تعداد مشاهده مقاله | 124,113,815 |
تعداد دریافت فایل اصل مقاله | 97,217,517 |
A Novel Hybrid MCDM Method for Optimal Location Selection of Free Trade Zones, Case Study: Mazandaran Province | ||
Advances in Industrial Engineering | ||
دوره 53، شماره 3، مهر 2019، صفحه 79-92 اصل مقاله (600.03 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jieng.2021.203748.1752 | ||
نویسندگان | ||
Ali Bozorgi-Amiri* ؛ Amirhossein Ranjbar؛ Amir Jamali | ||
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran | ||
چکیده | ||
Free trade zone has attracted significant attention, especially in developing countries. It facilitates attracting foreign capital and skilled workforce and experts to achieve economic development, which is its ultimate goal. An efficient free trade zone has different features, most of which are related to its location. Therefore, location selection has an important role in its success. Facility location planning is a strategic decision that is very expensive, but can decrease future costs. This paper aims to find the optimal location for establishing a free trade zone. The current paper applies multi-criteria decision-making (MCDM) to capture all the features and essentials of a thriving free trade zone. To this end, a novel hybrid MCDM method is developed to obtain the optimal solution with fewer paired comparisons and less reliance on estimations. Then, to assess the applicability of the developed method, a real case study was conducted in Mazandaran Province, Iran. Finally, the results of the proposed method were evaluated by comparison with the results of the AHP method. | ||
کلیدواژهها | ||
Multi criteria decision making؛ Free trade zone؛ Best-worst method؛ Location problem؛ hybrid MCDM method | ||
مراجع | ||
[1] Krupat, K. (1997). From war zone to free trade zone: a history of the National Labor Committee. No Sweat: Fashion Free Trade and the Rights of Garment Workers. [2] Kou, G., Peng, Y., & Wang, G. (2014). Evaluation of clustering algorithms for financial risk analysis using MCDM methods. Information Sciences, 275, 1–12. [3] Zavadskas, E. K., Turskis, Z., & Kildiene, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1). [4] Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega (United Kingdom), 64, 126–130. [5] Liu, J., Long, G., & Xu, X. (2017). A Method of Multi-attribute Decision Making Based on Basic Point and Weighting Coefficients Range. Procedia Computer Science, 107(Icict), 202–205. [6] Owen, S. H., & Daskin, M. S. (1998). Strategic facility location: A review. European Journal of Operational Research, 111(3), 423–447. [7] Chao, H. K. (2018). Shaping space through diagrams: The case of the history of location theory. Research in the History of Economic Thought and Methodology, 36B, 59–72. [8] Zabihi, A., & Gharakhani, M. (2018). A literature survey of HUB location problems and methods with emphasis on the marine transportations. Uncertain Supply Chain Management, 6(1), 91–116. [9] Hakli, H., and Ortacay, Z. (2019). An improved scatter search algorithm for the uncapacitated facility location problem. Computers and Industrial Engineering, 135(December 2017), [10] Mladenović, N., Alkandari, A., Pei, J., Todosijević, R., & Pardalos, P. M. (2020). Less is more approach: basic variable neighborhood search for the obnoxious p-median problem. International Transactions in Operational Research, 27(1), 480–493. [11] Lin, G., Xu, H., Chen, X., and Guan, J. (2020). An effective binary artificial bee colony algorithm for maximum set k-covering problem. Expert Systems with Applications, 161, 113717. [12] Drezner, T., Drezner, Z., & Kalczynski, P. (2020). Multiple obnoxious facilities location: A cooperative model. IISE Transactions, 52(12), 1403–1412. [13] Gadegaard, S. L., Klose, A., & Nielsen, L. R. (2018). A bi-objective approach to discrete cost-bottleneck location problems. Annals of Operations Research, 267(1–2), 179–201. [14] Shapira, A., & Goldenberg, M. (2005). AHP-Based Equipment Selection Model for Construction Projects. Journal of Construction Engineering and Management, 131(12), 1263–1273. [15] Badri, M. A. (1999). Combining the analytic hierarchy process and goal programming for global facility location-allocation problem. International Journal of Production Economics, 62(3), 237–248. [16] Shang, J., & Sueyoshi, T. (1995). A unified framework for the selection of a Flexible Manufacturing System. European Journal of Operational Research, 85(2), 297–315. [17] Yang, T., & Kuo, C. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of Operational Research, 147(1), 128–136. [18] Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. Journal of Cleaner Production, 135, 577–588. [19] Motevali Haghighi, S., & Torabi, S. A. (2018). A novel mixed sustainability-resilience framework for evaluating hospital information systems. International Journal of Medical Informatics, 118(July), 16–28. [20] Kilkenny, M., & Thisse, J. F. (1999). Economics of location: A selective survey. Computers and Operations Research, 26(14), 1369–1394. [21] Li, Y., Liu, X., & Chen, Y. (2011). Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6), 7901–7908. [22] Pellenbarg, P. H. (2002). Sustainable business sites in the Netherlands: A survey of policies and experiences. Journal of Environmental Planning and Management, 45(1), 59–84. [23] Fernández, I., & Ruiz, M. C. (2009). Descriptive model and evaluation system to locate sustainable industrial areas. Journal of Cleaner Production, 17(1), 87–100. [24] Deng, X., Wang, Y., & Yeo, G. T. (2017). Enterprise Perspective-based Evaluation of Free Trade Port Areas in China oa. Maritime Economics and Logistics, 19(3), 451–473. [25] Grubel, H. G. (1982). Towards a theory of free economic zones. Weltwirtschaftliches Archiv, 118(1), 39–61. [26] Sánchez-Lozano, J. M., Teruel-Solano, J., Soto-Elvira, P. L., & Socorro García-Cascales, M. (2013). Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain. Renewable and Sustainable Energy Reviews, 24, 544–556. | ||
آمار تعداد مشاهده مقاله: 480 تعداد دریافت فایل اصل مقاله: 901 |