Parts quality‐based priority policy in remanufacturing environments

Kenichi Nakashima, Arvinder P.S. Loomba

Research output: Contribution to journalArticle

Abstract

PurposeThe purpose of this study is to consider the acquisition of end‐of‐life products under variable quality consideration for remanufacturing so as to determine optimal control policy that minimizes per‐period expected costs that may guide future consideration by practitioners. Design/methodology/approachThe authors review recent literature on reverse supply chains and remanufacturing. They utilize an undiscounted Markov decision process methodology to ascertain the order amount of remanufacturable products using optimal control under minimum cost criterion. FindingsThe authors conclude that it makes sense for firms to focus on the cost management with production control based on quality levels with different acquisition costs of remanufacturable products. Research limitations/implicationsAlthough the Markov decision process methodology – which is well supported in literature – was diligently followed, the nature of analysis and discussion may be subject to authors’ bias. Future investigation and adoption of the methodological approach used will verify the paper findings. Practical implicationsThis study determines optimal control policy for ordering specific amount of product that minimizes per‐period expected costs for remanufacturing. Reverse supply‐chain professionals now have an easy‐to‐follow guide when acquiring end‐of‐life remanufacturable products alternatives with variable quality. Social implicationsThis study determines the optimal policy for ordering remanufacturable products. This information enables practitioners to reduce their carbon footprint in reverse supply chain through inspection/sorting before remanufacturing by processing only the type, quality, and quantity of needed product. Originality/valueFor reverse supply chain to be taken seriously by senior management in firms, it is imperative that practitioners in this field synchronize their operational‐level ordering decisions with holistic cost minimization objective (to maximize value recovery) to stay viable.

Original languageEnglish
Pages (from-to)162-175
Number of pages14
JournalJournal of Advances in Management Research
Volume10
Issue number2
DOIs
Publication statusPublished - 2013 Aug 2
Externally publishedYes

Fingerprint

Remanufacturing
Costs
Optimal control
Methodology
Reverse supply chain
Markov decision process
Production control
Cost minimization
Cost management
Optimal policy
Sorting
Carbon footprint
Literature review
Inspection
Senior management

Keywords

  • Markov decision process
  • Markov processes
  • Optimal sorting policy
  • Remanufacturing system
  • Reverse supply chains
  • Supply chain management

ASJC Scopus subject areas

  • Business, Management and Accounting(all)

Cite this

Parts quality‐based priority policy in remanufacturing environments. / Nakashima, Kenichi; Loomba, Arvinder P.S.

In: Journal of Advances in Management Research, Vol. 10, No. 2, 02.08.2013, p. 162-175.

Research output: Contribution to journalArticle

Nakashima, Kenichi ; Loomba, Arvinder P.S. / Parts quality‐based priority policy in remanufacturing environments. In: Journal of Advances in Management Research. 2013 ; Vol. 10, No. 2. pp. 162-175.
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