Lee, Y;
Carrero, A;
Papageorgiou, L;
Ramaswamy, S;
Pinto, J;
(2021)
Integrated Planning of Industrial Gas Supply Chains.
In:
Computer Aided Chemical Engineering.
(pp. pp. 1207-1212).
Elsevier
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Abstract
In this work, we propose a Mixed Integer Linear Programming (MILP) model for optimal planning of industrial gas supply chain, which integrates supply contracts, production scheduling, truck and rail-car scheduling, as well as inventory management under the Vendor Managed Inventory (VMI) paradigm. The objective used here is minimisation of the total operating cost consisting of purchasing of raw material, production, and transportation costs by trucks/rail-cars so as to satisfy customer demands over a given time horizon. The key decisions for production sites include production schedule and purchase schedule of raw material, while the distribution decisions involve customer to plant/depot allocation, quantity transported through rail network, truck delivery amounts, and times. In addition, a relaxation approach is proposed to solve the problem efficiently. An industrial case study is evaluated to illustrate the applicability of the integrated optimisation framework.
Type: | Proceedings paper |
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Title: | Integrated Planning of Industrial Gas Supply Chains |
Event: | 30th European Symposium on Computer Aided Process Engineering (ESCAPE30) |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/B978-0-12-823377-1.50202-0 |
Publisher version: | http://dx.doi.org/10.1145/3313831.3376302 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Integrated supply chain planning, discount contract model, rail-car and truck scheduling, relaxation approach |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
URI: | https://discovery.ucl.ac.uk/id/eprint/10120749 |




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