Service level analysis for an automotive prototype manufacturing company through the application of discrete event modelling and simulation. (14th June 2022)

• Record Type: Journal Article
• Authors: Orozco, Karen Janet García; Rivera, Ariana Gazcón; Almaraz, Ana María De León; Nosedal-Sanchez, Jenaro
• Is Part Of: International journal of simulation and process modelling. Volume 18:Number 1(2022)
• Page Start: 11
• Page End: 22
• Publication Date: 2022-06-14
• Subjects: supply chain -- business analytics -- discrete event simulation -- Petri networks -- CPN tool; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

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.