Operations Research for Supply chain management – An Overview of Issue and Contributions

Operations Research for Supply chain management – An Overview of Issue and Contributions S Amulu Priya V Maheswari V. Balaji Abstract The Logistics and Production Network Administration agrees that this is a mandatory research area, although there are some written reviews and examinations on this field. Operations research, which is also known as ‘Science of Better’ deals with mathematical models in order to take better decisions with better alternative options. A review of chronological progresses in Supply Chain Management (SCM)and SC modeling is offered to provide an insight into the development and possibilities of SCM modeling. This article is set out to suggest some serious issues in SCM research by means of several reviews related to the policy of Operations Administration. This paper focuses on the reviewing of various mathematical models proposed and suggested for SCM and SC operations. The article intends to study and analyze journals, books and articles published from the most known and comprehensive international journal on operations management and logistics. The purpose of this work is to identify trends in the literature and identify strategic results, financial strictures, limitations and related issues in strategic planning and model chain design. Finally, certain guidelines and recommendations are provided for supporting future work in this area. 07 01 2021 022010 http://dx.doi.org/10.1088/crossmark-policy iopscience.iop.org Operations Research for Supply chain management – An Overview of Issue and Contributions Journal of Physics: Conference Series paper Published under licence by IOP Publishing Ltd http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining 10.1088/1742-6596/1964/2/022010 https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022010 https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022010/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022010/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022010 https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022010/pdf Internat J Physical Distribution and Materials Management Stevens 19 3 1989 Integrating the supply chain Europ J Oper Res Slats 87 1 1995 10.1016/0377-2217(94)00354-F Logistic chain modeling Supply Chain Review La Londe 2 7 1998 Supply Chain Evolution by the numbers Management Science Feng 61 301 2015 10.1287/mnsc.2014.1938 Dynamic bargaining in a supply chain with asymmetric demand information. 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