Closed-loop supply chain inventory management with recovery information of reusable containers

Tianji Yang, Chao Fu, Xinbao Liu (), Jun Pei, Lin Liu and Panos M. Pardalos
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Tianji Yang: Hefei University of Technology
Chao Fu: Hefei University of Technology
Xinbao Liu: Hefei University of Technology
Jun Pei: Hefei University of Technology
Lin Liu: Hefei University of Technology
Panos M. Pardalos: University of Florida

Journal of Combinatorial Optimization, 2018, vol. 35, issue 1, No 20, 266-292

Abstract: Abstract This paper considers a closed-loop supply chain consisting of one-manufacturer and one-retailer. This supply chain provides single-kind products with reusable containers. The main purpose of this study is to explore and evaluate the value of recovery information captured by embedded sensors in the environment of internet of things. The recovery information of containers dynamically monitors recovery status and provides a reliable estimation of return quantity. The value of information is measured by the cost saving performances with full, partial or no recovery information. When the full or partial recovery information is available, the decisions are made based on the known quantities of the usable or total return flow. When no recovery information is available, the decisions are made based on the stationary distribution of the return flow. A periodic inventory model is built with uncertainties of forward and reverse flows. Then, a myopic order policy is proposed for the different levels of information utilization. Through the optimality analysis, we introduce a farsighted inventory control policy. Using the general result of Markov decision processes, the performance of heuristic policies is displayed. The farsighted policy performs better than the myopic policy. In addition, the farsighted policy helps to lessen the convex impact of utilization rate on the expected cost. Afterwards, we extend the model with the selective disposal behavior. A simulation study is used to depict sensitivity and robustness of the farsighted policy. Finally, we extend the simulation experiment with uniformly distributed in-use time for a more general applicability.

Keywords: Closed-loop supply chain; Reusable containers; Internet of things; Value of information (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s10878-015-9987-2

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