Title: Service level analysis for an automotive prototype manufacturing company through the application of discrete event modelling and simulation

Authors: Karen Janet García Orozco; Ariana Gazcón Rivera; Ana María De León Almaraz; Jenaro Nosedal-Sanchez

Addresses: Faculty of Engineering, Universidad Autónoma del Estado de México Cerro de Coatepec, Ciudad Universitaria, Toluca, Mexico ' Faculty of Engineering, Universidad Autónoma del Estado de México Cerro de Coatepec, Ciudad Universitaria, Toluca, Mexico ' Faculty of Engineering, Universidad Autónoma del Estado de México Cerro de Coatepec, Ciudad Universitaria, Toluca, Mexico ' Unitat Logística i Aeronàutica, Universidad Autónoma de Barcelona, C/ dels Emprius No. 2, Campus de la UAB, 08202 Sabadell, Barcelona, Spain

Abstract: This study addresses modelling and simulation as a tool for the analysis and evaluation of the design and manufacturing process of automotive prototypes. The application of these tools allows to visualise the process from a broader perspective and identify the downtimes that induce high variability to the process. Through the implemented simulation, the process cycle time is estimated given a certain level of service for each family of sequences identified in the sample. These results provide a quantitative reference of the response time according to the desired level of service for the process in general. In addition, an improvement scenario is provided through the implementation of a control monitor (KPI) in the critical activities that induce high variability to the process, which allows a 39% reduction in the magnitude of the lead times.

Keywords: supply chain; business analytics; discrete event simulation; Petri networks; CPN tool.

DOI: 10.1504/IJSPM.2022.123471

International Journal of Simulation and Process Modelling, 2022 Vol.18 No.1, pp.11 - 22

Received: 17 May 2021
Accepted: 31 Oct 2021
Published online: 22 Jun 2022 *

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