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Noordhoek, MR, Dullaert, W, Lai, DSW and De Leeuw, S 
ORCID: https://orcid.org/0000-0003-3056-8775,
2018.
A simulation-optimization approach for a service-constrained multi-echelon distribution network.
Transportation Research Part E: Logistics and Transportation Review, 114, pp. 292-311.
ISSN 1366-5545
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Abstract
Academic research on (s,S) inventory policies for multi-echelon distribution networks with deterministic lead times, backordering, and fill rate constraints is limited. Inspired by a real-life Dutch food retail case we develop a simulation-optimization approach to optimize (s,S) inventory policies in such a setting. We compare the performance of a Nested Bisection Search (NBS) and a novel Scatter Search (SS) metaheuristic using 1280 instances from literature and we derive managerial implications from a real-life case. Results show that the SS outperforms the NBS on solution quality. Additionally, supply chain costs can be saved by allowing lower fill rates at upstream echelons.
| Item Type: | Journal article |
|---|---|
| Publication Title: | Transportation Research Part E: Logistics and Transportation Review |
| Creators: | Noordhoek, M.R., Dullaert, W., Lai, D.S.W. and De Leeuw, S. |
| Publisher: | Pergamon Press |
| Date: | June 2018 |
| Volume: | 114 |
| ISSN: | 1366-5545 |
| Identifiers: | Number Type 10.1016/j.tre.2018.02.006 DOI |
| Divisions: | Schools > Nottingham Business School |
| Record created by: | Linda Sullivan |
| Date Added: | 26 Feb 2018 09:44 |
| Last Modified: | 10 Feb 2019 03:00 |
| URI: | https://irep.ntu.ac.uk/id/eprint/32797 |
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