Optimal lot sizing, process quality improvement and setup cost reduction
Operations Research
Production control in multistage systems with variable yield losses
Operations Research
Multi-objective genetic algorithm and its applications to flowshop scheduling
Computers and Industrial Engineering
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
An optimal production run time with imperfect production processes and allowable shortages
Computers and Operations Research
Computers and Electronics in Agriculture
Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management
Fuzzy Optimization and Decision Making
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
Integration of semi-fuzzy SVDD and CC-Rule method for supplier selection
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Partner selection is an important issue in the supply chain management. Since environment protection has been of concern to public in recent years, and the traditional supplier selection did not consider about this factor; therefore, this paper introduced green criteria into the framework of supplier selection criteria. The aim of this research was to develop an optimum mathematical planning model for green partner selection, which involved four objectives such as cost, time, product quality and green appraisal score. In order to solve these conflicting objectives, we adopted two multi-objective genetic algorithms to find the set of Pareto-optimal solutions, which utilized the weighted sum approach that can generate more number of solutions. In experimental analysis, we introduced a {4,4,4,4} supply chain network structure, and compared average number Pareto-optimal solutions and CPU times of two algorithms.