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What is Facility Location

Handbook of Research on Artificial Intelligence Techniques and Algorithms
The optimal placement of facilities (suppliers, manufacturers, and distributors) to minimize the supply chain total cost.
Published in Chapter:
A Stochastic Approach to Product-Driven Supply Chain Design
Khaoula Besbes (Université Lillle Nord de France, France & Université de Sfax, Tunisia), Hamid Allaoui (Université Lillle Nord de France, France), Gilles Goncalves (Université Lillle Nord de France, France), and Taicir Loukil (Université de Sfax, Tunisia)
DOI: 10.4018/978-1-4666-7258-1.ch003
Abstract
Supply chain is an alliance of independent business processes, such as supplier, manufacturing, and distribution processes that perform the critical functions in the order fulfillment process. However, the discussions in marketing and logistic literature universally conclude that it would be desirable to determine the life cycle of products in the firm, as they have a great impact on appropriate supply chain design. Designing a supply chain effectively is a complex and challenging task, due to the increasing outsourcing, globalization of businesses, continuous advances in information technology, and product life cycle uncertainty. Indeed, uncertainty is one of the characteristics of the product life cycle. In particular, the strategic design of the supply chain has to take uncertain information into account. This chapter presents a two-phase mathematical programming approach for effective supply chain design with product life cycle uncertainty considerations.
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Mathematical Model for Designing Supply Chains
A decision making process consisting on determining the optimal, or at least good locations of facilities, such as manufacturing plants, warehouses, distribution centers, etc., in a supply chain or distribution system.
Full Text Chapter Download: US $37.50 Add to Cart
Designing Supply Chains Using Optimization
Decision making process consisting on determining the locations of facilities.
Full Text Chapter Download: US $37.50 Add to Cart
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