A fuzzy multi-objective optimization model for recoverable manufacturing systems in uncertain environments

ABSTRACT This study develops a fuzzy multi-objective linear programming (FMOLP) model with an interactive two-phase possibilistic linear programming (ITPPLP) approach for solving remanufacturing production system problems with multiple goals in a fuzzy environment. Because the related parameters are imprecise/fuzzy in nature, a triangular possibility distribution can be used. The proposed model aims to simultaneously minimize total production costs and total lead time, while integrating multiple suppliers, multiple components, multiple time periods, and multiple machines to realize a remanufacturing production system. An air-conditioning compressor case was used to test the proposed models. The analytical results presented in this work will allow decision-making managers to better understand the systematic analysis, potential for cost-effectiveness and lead time of recoverable remanufacturing planning.

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