Hosoda, Takamichi and Disney, Stephen M. ![]() ![]() |
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Abstract
We investigate the dynamics of a closed-loop supply chain with first-order auto-regressive (AR(1)) demand and return processes. We assume these two processes are cross-correlated. The remanufacturing process is subject to a random triage yield. Remanufactured products are considered as-goodas- new and used to partially satisfy market demand; newly manufactured products make up the remainder. We derive the optimal linear policy in our closed-loop supply chain setting to minimise the manufacturer’s inventory costs. We show that the lead-time paradox can emerge in many cases. In particular, the auto- and cross-correlation parameters and variances of the error terms in the demand and the returns, as well as the remanufacturing lead time, all influence the existence of the lead-time paradox. Finally, we propose managerial recommendations for manufacturers.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Schools > Business (Including Economics) |
Uncontrolled Keywords: | Supply Chain Management, Closed-loop Supply Chain, Vector Auto-Regressive Process, Order-Up-To Policy, Random Yield |
Additional Information: | Released with a Creative Commons Attribution Non-Commercial No Derivatives License (CC BY-NC-ND) |
Publisher: | Elsevier |
ISSN: | 0377-2217 |
Funders: | JSPS KAKENHI Grant Number 25380475 |
Date of First Compliant Deposit: | 2 July 2017 |
Date of Acceptance: | 2 July 2017 |
Last Modified: | 15 Nov 2024 18:31 |
URI: | https://orca.cardiff.ac.uk/id/eprint/101971 |
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