A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food

Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The taste and freshness of perishable foods decrease dramatically with time. Effective inventory management requires understanding of market demand as well as balancing customers needs and preferences with products’ shelf life. The objective is to avoid food overproduction as this leads to waste and value loss. In addition, product depletion has to be minimised, as it can result in customers reneging. This study tackles the production planning of highly perishable foods (such as freshly prepared dishes, sandwiches and desserts with shelf life varying from 6 to 12 hours), in an environment with highly variable customers demand. In the scenario considered here, the planning horizon is longer than the products’ shelf life. Therefore, food needs to be replenished several times at different intervals. Furthermore, customers demand varies significantly during the planning period. We tackle the problem by combining discrete-event simulation and particle swarm optimisation (PSO). The simulation model focuses on the behaviour of the system as parameters (i.e. replenishment time and quantity) change. PSO is employed to determine the best combination of parameter values for the simulations. The effectiveness of the proposed approach is applied to some real-world scenario corresponding to a local food shop. Experimental results show that the proposed methodology combining discrete event simulation and particle swarm optimisation is effective for inventory management of highly perishable foods with variable customers demand.

Original languageEnglish
Title of host publicationICORES 2019 - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems
EditorsGreg H. Parlier, Federico Liberatore, Marc Demange
PublisherScience and Technology Publications, Lda
Pages406-413
Number of pages8
ISBN (Print)9789897583520
DOIs
Publication statusPublished - 2019
Event8th International Conference on Operations Research and Enterprise Systems , ICORES 2019 - Prague, Czech Republic
Duration: 19 Feb 201921 Feb 2019

Publication series

NameInternational Conference on Operations Research and Enterprise Systems
ISSN (Electronic)2184-4372

Conference

Conference8th International Conference on Operations Research and Enterprise Systems , ICORES 2019
Country/TerritoryCzech Republic
CityPrague
Period19/02/1921/02/19

Keywords

  • Discrete Event Simulation
  • Highly Perishable Food Inventory
  • Particle Swarm Optimisation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Management Science and Operations Research
  • Control and Optimization
  • Theoretical Computer Science

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