An overview of representative problems in location research
Management Science
Material management in decentralized supply chains
Operations Research
Computers and Operations Research
Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach
Computers and Industrial Engineering - Supply chain management
An evolutionary algorithm for optimizing material flow in supply chains
Computers and Industrial Engineering
Hybrid genetic algorithm for multi-time period production/distribution planning
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
A genetic algorithm approach for multi-objective optimization of supply chain networks
Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
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Distribution center operation planning problem to determine the facility locations and the distribution plans is studied in this paper under the single sourcing constraint, in which each customer can be served by a single supplier. Distribution centers can be installed or changed easily using the outsourcing with a reasonable setup cost, to meet the dynamically changing demand of customers, compared with the plants which are usually run for the long time period with a heavy setup cost. The objective is to minimize the sum of transportation, the facility setup and the product handling cost. A mixed integer programming model for the distribution center operation planning is suggested. For the purpose of practical implementation, the hybrid heuristic based on the tabu search and the decomposed optimization is proposed with the priority rule designed by using the so-called Unit Cost Ratio (UCR). The performances of the heuristic algorithms are evaluated by the comparison with the optimal solution or the best solutions found within the computational time limit by CPLEX.