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Complex Real-Life Supply Chain Planning Problems

Complex Real-Life Supply Chain Planning Problems

Behnam Fahimnia, Mohammad Hassan Ebrahimi, Reza Molaei
Copyright: © 2013 |Pages: 26
ISBN13: 9781466619456|ISBN10: 1466619457|EISBN13: 9781466619463
DOI: 10.4018/978-1-4666-1945-6.ch078
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MLA

Fahimnia, Behnam, et al. "Complex Real-Life Supply Chain Planning Problems." Industrial Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1441-1466. https://doi.org/10.4018/978-1-4666-1945-6.ch078

APA

Fahimnia, B., Ebrahimi, M. H., & Molaei, R. (2013). Complex Real-Life Supply Chain Planning Problems. In I. Management Association (Ed.), Industrial Engineering: Concepts, Methodologies, Tools, and Applications (pp. 1441-1466). IGI Global. https://doi.org/10.4018/978-1-4666-1945-6.ch078

Chicago

Fahimnia, Behnam, Mohammad Hassan Ebrahimi, and Reza Molaei. "Complex Real-Life Supply Chain Planning Problems." In Industrial Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1441-1466. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1945-6.ch078

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Abstract

Supply chain planning concerns the selection of strategies and methodologies to facilitate the optimal flow of material from raw material suppliers to end-users through procurement, production and distribution activities. Supply chain (SC) implementation has significant impacts on the financial performance of manufacturing and distribution companies. Developing real-life SC models with centralised planning naturally leads to complex models which are difficult to solve optimally. This chapter firstly presents a comprehensive review on the current literature of SC planning and optimisation and classifies the published models based on their complexity. Next, a mixed-integer non-linear formulation is presented for modelling complex real-life SC planning problems which accommodates the identified gaps in the current literature. Evaluation of the available tools and techniques for the optimisation of the proposed SC model will conclude this chapter.

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