Title :
Optimization modeling of an integrated supply chain network
Author :
Diabat, Ali ; Richard, Jean Philippe
Author_Institution :
Eng. Syst. & Manage., Masdar Inst. of Sci. & Technol. (MIST), Abu Dhabi, United Arab Emirates
Abstract :
In this paper, we develop a novel multi-echelon joint inventory-location problem that considers location and inventory decisions simultaneously. The model deals with the distribution of a single commodity from a single manufacturer to a set of retailers through a set of sites where distribution centers can be located. The retailers face deterministic demand and hold working inventory. We assume single sourcing in which the entire demand of a given retailer is served by a single distribution center. The distribution centers order a single commodity from the manufacturer at regular intervals and distribute the product to the retailers. The distribution centers, also, hold working inventory representing product that has been ordered from the manufacturer but has not been yet requested by any of the retailers. Lateral supplies among the distribution centers are not allowed. The problem is formulated as a nonlinear mixed-integer program. Model validation and benefit of integration are demonstrated via a numerical study.
Keywords :
commodity trading; facility location; goods distribution; integer programming; inventory management; nonlinear programming; retailing; supply and demand; supply chain management; commodity distribution; deterministic demand; distribution center; integrated supply chain network; inventory decision; location decision; multiechelon joint inventory-location problem; nonlinear mixed-integer program; optimization modeling; product distribution; retailing; working inventory; Supply chains; Supply chain; facility location; joint decisions; joint inventory-location; multi-echelon inventory; supply chain integration;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373288