OPTIMIZATION OF PRODUCTION PROCESS DECISION-MAKING MODEL IN REMANUFACTURING FOR MAXIMUM PROFITS

Abstract

Inspection, disassembly and recycling decision-making in remanufacturing is crucial for improving the production management and competitiveness. However, optimizing multi-process production by multiple components, complex workflows and uncertain defect rates is facing the challenges. This paper proposes a novel production decision-making model based on a hybrid representation of circuit networks and transfer functions to optimize the inspection and processing of components and semi-finished products across different processes for maximum profit. By adopting a recursive approach, the multi-process problem is decomposed into multiple single-process to compute semi-finished product quantities, pass rates, inspection costs and recycling revenues at each process. Then, genetic algorithm (GA) that solves the complex non-linear solution space is adopted, and the maximum expected profit is achieved. Finally, simulation experiments of single-process and multi-process production are conducted, and experimental results have verified the effectiveness and practicality of the proposed production decision-making model.