- Title
- A two-phase heuristic method for agri-fresh inventory optimisation
- Creator
- Abedi, Mehdi; Paam, Parichehr; Berretta, Regina
- Relation
- IEEE Symposium Series on Computational Intelligence (SSCI) . Computational Intelligence (SSCI), 2020 IEEE Symposium Series on (Canberra, ACT 01-04 December, 2020) p. 2608-2615
- Publisher Link
- http://dx.doi.org/10.1109/SSCI47803.2020.9308372
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2020
- Description
- This paper proposes a heuristic method for inventory optimisation of agri-fresh food products. The problem consists of multiple varieties of agri-fresh products collected in the harvest season that must be stored in a limited number of warehouses to supply demand throughout the whole planning horizon. The warehouses can be set on two modes with different energy consumption rates and different impacts on preventing product losses. The aim is to minimise the costs of energy consumption and product loss. Based on a mixed integer linear programming model for the problem, which is effective only for small instances due to the complexity of the problem, we propose an efficient two-phase heuristic method. In the first phase, a problem-specific heuristic determines and fixes the values of the binary variables, and then, in the second phase, the mixed integer linear programming problem is solved to determine the remaining variables. We evaluated the performance of the proposed approach by solving instances with different sizes. The results illustrate that the two-phase approach can efficiently find solutions of good quality.
- Subject
- inventory optimisation; fresh food supply chain; heuristic; integer linear programmig problem
- Identifier
- http://hdl.handle.net/1959.13/1450969
- Identifier
- uon:44064
- Identifier
- ISBN:9781728125473
- Language
- eng
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