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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

Guang Wang

Jian Zhou

Athanasios A. Pantelous

Yuanyuan Liu



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

Files

This file is under embargo until Dec 16, 2024 due to copyright reasons.

Contact Youwei.Li@hull.ac.uk to request a copy for personal use.




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