Technical Note—Optimal Procurement in Remanufacturing Systems with Uncertain Used-Item Condition

Emre Nadar (), Mustafa Akan (), Laurens Debo () and Alan Scheller-Wolf ()
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Emre Nadar: Department of Industrial Engineering, Bilkent University, 06800 Ankara, Turkey
Mustafa Akan: Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
Laurens Debo: Tuck School of Business, Dartmouth College, Hanover, New Hampshire 03755
Alan Scheller-Wolf: Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213

Operations Research, 2023, vol. 71, issue 5, 1441-1453

Abstract: We consider a single-product remanufacture-to-order system with multiple uncertain quality levels for used items, random procurement lead times, and lost sales. The quality level of a used item is revealed only after it is acquired and inspected; the remanufacturing cost is lower for a higher-quality item. We model this system as a Markov decision process and seek an optimal policy that specifies when a used item should be procured, whether an arriving demand for the remanufactured product should be satisfied, and which available item should be remanufactured to meet this demand. We characterize the optimal procurement policy as following a new type of strategy: state-dependent noncongestive acquisition. This strategy makes decisions, taking into account the system congestion level measured as the number of available items and their quality levels. We also show that it is always optimal to meet the demand with the highest-quality item among the available ones. We conclude with extensions of our model to limited cases when the used-item condition is known a priori (for two quality levels) and remanufacture-to-stock systems in which the standard push strategy is optimal in the remanufacturing stage.

Keywords: Operations and Supply Chains; used-item acquisition; inspection; remanufacturing; Markov decision processes; optimal control (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:71:y:2023:i:5:p:1441-1453

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