{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T09:45:04Z","timestamp":1769507104746,"version":"3.49.0"},"reference-count":68,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T00:00:00Z","timestamp":1598400000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and Technology, Taiwan.","award":["MOST 107-2410-H-305 -038 -MY3 and 108-2221-E-305 -002 -MY3"],"award-info":[{"award-number":["MOST 107-2410-H-305 -038 -MY3 and 108-2221-E-305 -002 -MY3"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help managers to select the optimal location. However, most of these considered the factors independently but in the real world, these factors have a mutually influential relationship. This study purposes a hybrid multiple criteria decision making (MCDM) model to provide decision makers with a comprehensive framework to evaluate the best strategies to solve relocation problems, which also considers the interdependency between criteria. The model incorporates the DANP (Decision Making Trial and Evaluation Laboratory-based Analytic Network Process) model (subjective weight) and entropy method (objective weight) to determine the weights of the criteria. Then, the modified VIKOR (VI\u0161ekriterijumsko Kompromisno Rangiranje) method is applied to select the optimal alternative for relocation. The usefulness of the model is demonstrated by taking an electronics manufacturing company with a global supply chain as an example. The results indicate that the proposed hybrid model can assist companies in choosing the best locations for their supply chains for sustained development.<\/jats:p>","DOI":"10.3390\/sym12091418","type":"journal-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T09:05:37Z","timestamp":1598432737000},"page":"1418","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Location Selection of a Manufacturing Facility from the Perspective of Supply Chain Sustainability"],"prefix":"10.3390","volume":"12","author":[{"given":"Sun-Weng","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan"},{"name":"Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, New Taipei City 23741, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6918-6048","authenticated-orcid":false,"given":"James J.H.","family":"Liou","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Management, National Taipei University of Technology, Taipei 10608, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gwo-Hshiung","family":"Tzeng","sequence":"additional","affiliation":[{"name":"Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, New Taipei City 23741, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,26]]},"reference":[{"key":"ref_1","unstructured":"Lin, F. 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