Bi-objective Framework for Planning a Supply Chain Process in Reconfigurable Manufacturing Systems

摘要

Reconfigurable manufacturing system (i.e., RMS) is a recent class of manufacturing systems which is featured by six basic characteristics (i.e., modularity, integrability, customization, convertibility, scalability, and diagnosability). These characteristics allow RMS to be responsive and cost-effective. However, their complex structure and the complex design of modern products make the creation of a supply-chain process plan as an important task to get the final product. This paper deals with a bi-objective minimization problem which is getting the optimal supply-chain process plan (i.e., SCPP) for RMSs. To solve this problem, we propose a new bi-objective optimization model which is based on two objectives (i.e., minimum cost and minimum time) and seven steps (i.e., customer and company specifications, harness the raw materials, production environment preparation, production planning, testing the final product, packaging and distribution, and delivery to customer). A responsive and effective SCPP is provided according to the company preferences and the adaptation of two multi-objective optimization techniques, which are the non-dominated sorting genetic algorithm (i.e., NSGA-II) and technique for order of preference by similarity to ideal solution (i.e., TOPSIS).