Multi-objective genetic algorithm and its applications to flowshop scheduling
Computers and Industrial Engineering
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
A model and methodologies for the location problem with logistical components
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
A strategic model for supply chain design with logical constraints: formulation and solution
Computers and Operations Research
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
IEEE Transactions on Evolutionary Computation
Information Sciences: an International Journal
A steady-state genetic algorithm for multi-product supply chain network design
Computers and Industrial Engineering
Multi-criteria sequence-dependent job shop scheduling using genetic algorithms
Computers and Industrial Engineering
Integrated multistage logistics network design by using hybrid evolutionary algorithm
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Advances in Engineering Software
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Supply chain network (SCN) design is to provide an optimal platform for efficient and effective supply chain management. It is an important and strategic operations management problem in supply chain management, and usually involves multiple and conflicting objectives such as cost, service level, resource utilization, etc. This paper proposes a new solution procedure based on genetic algorithms to find the set of Pareto-optimal solutions for multi-objective SCN design problem. To deal with multi-objective and enable the decision maker for evaluating a greater number of alternative solutions, two different weight approaches are implemented in the proposed solution procedure. An experimental study using actual data from a company, which is a producer of plastic products in Turkey, is carried out into two stages. While the effects of weight approaches on the performance of proposed solution procedure are investigated in the first stage, the proposed solution procedure and simulated annealing are compared according to quality of Pareto-optimal solutions in the second stage.