Quality-driven recovery decisions for used components in reverse logistics. Issue 16 (18th August 2017)

• Record Type: Journal Article
• Authors: Meng, Kai; Lou, Peihuang; Peng, Xianghui; Prybutok, Victor
• Is Part Of: International journal of production research. Volume 55:Issue 16(2017)
• Page Start: 4712
• Page End: 4728
• Publication Date: 2017-08-18
• Subjects: component recovery -- recovery decision-making -- remaining useful life -- quality uncertainty -- reverse logistics -- decision analysis; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2017.1287971
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : Reverse logistics has emerged as a promising strategy for enhancing environmental sustainability through remanufacturing, reusing, or recycling used components. It is crucial to pursue quality-driven decision-making for component recovery because quality is a dominant factor for component salvage value and its recoverability. To maximise the profit from component recovery, a quality-driven decision model was proposed in this study. Remaining useful life (RUL) was utilised as a measure of quality in the proposed model, where conditional RUL distribution was predicted by utilising both the failure data and condition monitoring data based on a proportional hazard model. Under RUL uncertainty, an interval decision-making approach was developed to suggest recovery strategies for the decision-makers to identify a satisfactory solution according to their risk preferences. Compared to the existing approaches for quality-driven recovery decision-making based on RUL prediction, this work provides a more accurate and powerful approach to managing and mitigating decision risk. Numerical experiments demonstrated the effectiveness and superiority of the proposed model.