Title: Identification of efficient production plans for a food packaging process using discrete event simulation

Authors: Jenaro Nosedal-Sanchez; Carlos Rivera-Mejia; Javier Garcia-Gutierrez

Addresses: Universidad Autonoma de Barcelona, C/dels Emprius No. 2, Campus de la UAB, 08202 Sabadell, Barcelona, Spain; Telecomunicacions i Enginyeria de Sistemes, Unitat Logística i Aeronàutica, C/dels Emprius No. 2, Campus de la UAB, 08202 Sabadell, Barcelona, Spain ' Faculty of Engineering, Universidad Autonoma del Estado de Mexico, Mexico ' Faculty of Engineering, Universidad Autonoma del Estado de Mexico, Mexico

Abstract: This paper addresses the problem of modelling and analysing the production capacity of a food packaging process. The model is formalised using coloured Petri nets and was implemented in CPNTools. The results reported correspond to the functional verification and the state space analysis of the model for determining the availability of each packing line and the overall availability of the system. The model allows obtaining measures such as the ratio between the production time and the time available for a specific period of production under different demand scenarios, determining the effect of a different assignment of the orders among the available packing lines. The results allow identification of work schedules for the best use of the packing lines capacity. The proposed framework is tested using a real case study, where a set of several feasible production plans are generated and the best course of action among these alternatives is identified.

Keywords: discrete event simulation; capacity analysis; production planning; operations management.

DOI: 10.1504/IJSOM.2023.132857

International Journal of Services and Operations Management, 2023 Vol.45 No.4, pp.427 - 445

Received: 29 Jan 2021
Accepted: 27 Apr 2021
Published online: 13 Aug 2023 *

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