Guang Wang
A decision making framework for joint replenishment and delivery scheduling problems under mixed uncertainty
Wang, Guang; Zhou, Jian; Pantelous, Athanasios A.; Liu, Yuanyuan; Li, Youwei
Authors
Jian Zhou
Athanasios A. Pantelous
Yuanyuan Liu
Professor Youwei Li Youwei.Li@hull.ac.uk
Professor of Finance
Abstract
Concerning the essence of risk, a joint replenishment and delivery scheduling problem with fuzzy cost-related parameters and random number of imperfect quality items is developed to make it suitable for the inherent uncertainties of procurement-shipment process. The mathematical modelling-based decision system is formulated as a chance-constrained programming with the idea of embedding decision makers’ risk tolerance. Following this notion, the model is translated into an equivalent non-linear counterpart and a neighbourhood heuristic search is designed based on the properties of the cost function. We introduce an integrated cross-entropy algorithm, incorporating the heuristic in the cross-entropy framework, to solve it. The numerical results demonstrate that ICE is quite effective in comparison to state-of-the-art algorithms. Our framework is helpful for decision makers to determine economically acceptable performance objectives in the presence of uncertain issues, and thus to build resilience in supply chain.
Citation
Wang, G., Zhou, J., Pantelous, A. A., Liu, Y., & Li, Y. (2024). A decision making framework for joint replenishment and delivery scheduling problems under mixed uncertainty. Computers and Industrial Engineering, 187, Article 109835. https://doi.org/10.1016/j.cie.2023.109835
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 11, 2023 |
Online Publication Date | Dec 15, 2023 |
Publication Date | Jan 1, 2024 |
Deposit Date | Jan 5, 2024 |
Publicly Available Date | Dec 16, 2024 |
Journal | Computers and Industrial Engineering |
Print ISSN | 0360-8352 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 187 |
Article Number | 109835 |
DOI | https://doi.org/10.1016/j.cie.2023.109835 |
Keywords | Supply chain resilience; Joint replenishment; Mixed uncertainty; Chance-constrained programming; Cross-entropy algorithm |
Public URL | https://hull-repository.worktribe.com/output/4501196 |
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https://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
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