The New Generation of Operations Research Methods in Supply Chain Optimization: A Review
AbstractThe possibilities of applying Operations Research (O.R.) techniques in the design of real-world systems are vast. The optimization and design of the supply chain network (SCN) is one of the relevant topics that has directed the attention of many scholars. Sound decisions in this regard, including the proper selection of the facility’s location, transportation modes and routes and inventory management policies, can noticeably improve the systems performance. Over 380 articles published between 2005 and 2016 in the ISI/Web of Science database have applied advanced O.R. techniques in SCN optimization studies. This paper offers a systematic review of these published contributions by focusing on two categories of O.R. approaches most recently applied for the design of SC systems: integrated mathematical modeling and simulation-optimization (S-O) frameworks. A taxonomy analysis of the mentioned approaches is presented based on the supply chain elements. A bibliometric analysis is also conducted to provide technical insights into the possible gaps in the field. Moreover, the relevant studies on SC sustainability are highlighted. The research results are supportive of the S-O frameworks as either an alternative approach or an effective solution method for the integrated problems. The research outcomes can provide researchers in the field with useful details of the integrated problems and S-O frameworks as the most recent O.R. methodologies in the field of SC optimization. View Full-Text
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Pourhejazy, P.; Kwon, O.K. The New Generation of Operations Research Methods in Supply Chain Optimization: A Review. Sustainability 2016, 8, 1033.
Pourhejazy P, Kwon OK. The New Generation of Operations Research Methods in Supply Chain Optimization: A Review. Sustainability. 2016; 8(10):1033.Chicago/Turabian Style
Pourhejazy, Pourya; Kwon, Oh K. 2016. "The New Generation of Operations Research Methods in Supply Chain Optimization: A Review." Sustainability 8, no. 10: 1033.
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