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Integrated production and inventory routing planning of oxygen supply chains

Lee, Y; Charitopoulos, VM; Thyagarajan, K; Morris, I; Pinto, JM; Papageorgiou, LG; (2022) Integrated production and inventory routing planning of oxygen supply chains. Chemical Engineering Research and Design , 186 pp. 97-111. 10.1016/j.cherd.2022.07.027. Green open access

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Abstract

In this work, we address a production and inventory routing problem for a liquid oxygen supply chain comprising production facilities, distribution network, and distribution resources. The key decisions of the problem involve production levels of production plants, delivery schedule and routing through heterogeneous vehicles, and inventory strategies for national stock-out prevention. Due to the problem complexity, we propose a two-level hybrid solution approach that solves the problem using both exact and metaheuristic methods. At the upper level, we develop a mixed-integer linear programming (MILP) model that determines production and inventory decisions and customer allocation. In the lower level, the original problem is reduced to several multi-trip heterogeneous vehicle routing problems by fixing the optimal production, inventory, and allocation decisions and clustering customers. A well-recognised metaheuristic, guided local search method, is adapted to solve the low-level routing problems. A real-world case study in the UK illustrates the applicability and effectiveness of the proposed optimisation framework.

Type: Article
Title: Integrated production and inventory routing planning of oxygen supply chains
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cherd.2022.07.027
Publisher version: https://doi.org/10.1016/j.cherd.2022.07.027
Language: English
Additional information: © 2022 The Author(s). Published by Elsevier Ltd on behalf of Institution of Chemical Engineers.CC_BY_4.0
Keywords: Hybrid approach, Mixed-integer linear programming, Metaheuristics, Guided local search, Integrated oxygen supply chain, planning
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10154574
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