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Profit Maximizing Network Modeling With Inventory and Capacity Considerations

Profit Maximizing Network Modeling With Inventory and Capacity Considerations

Tan Miller, Renato de Matta
Copyright: © 2019 |Pages: 15
ISBN13: 9781522573623|ISBN10: 1522573623|EISBN13: 9781522573630
DOI: 10.4018/978-1-5225-7362-3.ch088
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MLA

Miller, Tan, and Renato de Matta. "Profit Maximizing Network Modeling With Inventory and Capacity Considerations." Advanced Methodologies and Technologies in Business Operations and Management, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2019, pp. 1171-1185. https://doi.org/10.4018/978-1-5225-7362-3.ch088

APA

Miller, T. & de Matta, R. (2019). Profit Maximizing Network Modeling With Inventory and Capacity Considerations. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Business Operations and Management (pp. 1171-1185). IGI Global. https://doi.org/10.4018/978-1-5225-7362-3.ch088

Chicago

Miller, Tan, and Renato de Matta. "Profit Maximizing Network Modeling With Inventory and Capacity Considerations." In Advanced Methodologies and Technologies in Business Operations and Management, edited by Mehdi Khosrow-Pour, D.B.A., 1171-1185. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7362-3.ch088

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Abstract

Developing integrated strategic, tactical, and operational manufacturing and distribution plans for the global supply chain of a large, international firm represents a formidable planning, as well as organizational undertaking. Moreover, to develop and execute plans that are not only integrated but which maximize profits on a global basis presents a challenge of far greater magnitude. The use of advanced optimization modeling-based analytics can generate keen insights for management decisions regarding sourcing, production, distribution, inventory, and demand management on supply chain networks. This includes scenario and contingency planning analyses of complex strategic trade-offs such as the optimal balance between inventory levels and reserve manufacturing capacity on a network. In this chapter, the authors illustrate how optimization models can support a firm's planning efforts for these and related supply chain business decisions.

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