The multiregional dynamic capacity expansion problem: an improved heuristic
Management Science
Multifacility-type capacity expansion planning: Algorithms and complexities
Operations Research
Computers and Operations Research
An algorithm for the capacitated, multi-commodity multi-period facility location problem
Computers and Operations Research
A dynamic distribution model for combat logistics
Computers and Operations Research
Budget constrained location problem with opening and closing of facilities
Computers and Operations Research
Formulations and relaxations for a multi-echelon capacitated location-distribution problem
Computers and Operations Research
A flexible model and efficient solution strategies for discrete location problems
Discrete Applied Mathematics
Optimal network design and storage management in petroleum distribution network under uncertainty
Engineering Applications of Artificial Intelligence
Optimal network design and storage management in petroleum distribution network under uncertainty
Engineering Applications of Artificial Intelligence
The Dynamic Uncapacitated Hub Location Problem
Transportation Science
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In this paper, we focus on the strategic design of supply chain networks. We propose a mathematical modeling framework that captures many practical aspects of network design problems simultaneously but which have not received adequate attention in the literature. The aspects considered include: dynamic planning horizon, generic supply chain network structure, external supply of materials, inventory opportunities for goods, distribution of commodities, facility configuration, availability of capital for investments, and storage limitations. Moreover, network configuration decisions concerning the gradual relocation of facilities over the planning horizon are considered. To cope with fluctuating demands, capacity expansion and reduction scenarios are also analyzed as well as modular capacity shifts. The relation of the proposed modeling framework with existing models is discussed. For problems of reasonable size, we report on our computational experience with standard mathematical programming software. In particular, useful insights on the impact of various factors on network design decisions are provided.