The ant colony optimization meta-heuristic
New ideas in optimization
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
International Journal of Computer Applications in Technology
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In today's era of dynamic customer demands and rapidly evolving technologies, there is a need for manufacturers to understand the implications of continually changing product architectures on their supply chain. This study proposes a methodology based on Ant Colony Optimisation (ACO) for robust supplier selection to effectively cater to varying product architectures at minimum total acquisition costs. Taguchi's quality loss concept is used to evaluate how well the individual components/subassemblies supplied by the suppliers cost-effectively meet the customer needs over a given planning horizon. The proposed methodology is demonstrated using an example of a cell phone product family.