The coupling mechanism of reassembly quality with uncertainty of remanufactured parts

Abstract

Purpose The uncertainty of remanufacturing parts is a key factor affecting the quality of remanufactured products. Therefore, the purpose of this paper is to measure the uncertainty of remanufactured parts and study the coupling mechanism of reassembly quality. Design/methodology/approach First, uncertainty of remanufactured parts is analyzed, and the uncertainty measure model for remanufacturing parts based on entropy is constructed. Second, the nonlinear mapping model between the uncertainty and reassembly quality were studied using Gauss-Newton iterative method to reveal the coupling mechanism between uncertainty of remanufacturing parts and reassembly quality. Finally, the model is verified in the reassembly process of remanufacturing cylinder head. Findings The method can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts. Originality/value This study provides practical implications by developing a multivariate nonlinear mapping model for reassembly quality based on entropy to determine the uncertainty factors that affect the reassembly quality significantly and then correct the reassembly operation to better optimize the allocation of remanufacturing production resources. The study also theoretically contributes to reveal the coupling mechanism of reassembly quality with the uncertainty of remanufactured parts.

A Qualitative and Quantitative Analysis of Remanufacturing Research

“…These studies may include individual parts. Zhang et al [119] presented the effectiveness of the Gauss-Newton iterative method on the remanufacturing assembly process of a cylinder head. Huang et al and Mesa et al [82,83] applied their methods on fit joints and mechanical joints, respectively.…”

An Integrated Optimization Decision Method for Remanufacturing Process Based on Conditional Evidence Theory Under Uncertainty

“…The linear optimization model to optimize the processing capacity, processing time and processing equipment in the remanufacturing process is established by Franke, and the optimization results are verified by simulation technology [20]. The coupling mechanism of reassembly quality with uncertainty of remanufactured parts is presented [21]; A cost-driven process planning method for hybrid additivesubtractive remanufacturing is proposed [22].…”