Evaluating the performance of a cellular manufacturing system proposal for the sewing department of a sportswear manufacturing company: A simulation approach

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Published: Mar 2, 2022
DOI: https://doi.org/10.22201/icat.24486736e.2022.20.1.1335
Keywords:
Cellular Manufacturing Systems, Garment industry, Simulation, Sequence-dependent setup times

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Sebastian Cáceres-Gelvez
Universidad Nacional de Colombia sede Medellín; Universidad de Santander campus Cúcuta
https://orcid.org/0000-0002-9131-2135
Martín Darío Arango-Serna, Dr.
Universidad Nacional de Colombia sede Medellín
https://orcid.org/0000-0001-8448-8231
Julián Andrés Zapata-Cortés, Dr.
Institución Universitaria CEIPA
https://orcid.org/0000-0002-1270-3577

Abstract

Cellular manufacturing systems (CMS) are a major application of group technology, that brings benefits related to the reduction of wastes, also known as ‘mudas’ in lean manufacturing philosophy, to organisations striving to compete on today’s markets. These benefits include the reduction of machine setup times, material handling and work-in-process inventory, among others. However, many organisations are reluctant to implement such decisions in their production systems, due to the uncertainty and economic and productive impact that these involve. For this reason, a simulation study is performed in this paper to evaluate the performance of a cellular manufacturing system approach for the sewing department of a sportswear manufacturing company. The simulation study was designed, and the results of the proposed model showed improvements of 51,46% in the average flow time, 1102,52% in the average throughput, and 50,65% in the average setup times of machines, compared to the current state of the case study.

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How to Cite
Cáceres-Gelvez, S., Arango-Serna, M. D., & Zapata-Cortés, J. A. (2022). Evaluating the performance of a cellular manufacturing system proposal for the sewing department of a sportswear manufacturing company: A simulation approach. Journal of Applied Research and Technology, 20(1), 68–83. https://doi.org/10.22201/icat.24486736e.2022.20.1.1335
Issue
Vol. 20 No. 1 (2022)
Section
Articles
Author Biographies

Sebastian Cáceres-Gelvez, Universidad Nacional de Colombia sede Medellín; Universidad de Santander campus Cúcuta

S. Cáceres-Gelvez, received the B.Eng. degree in Industrial Engineering in 2014 from the Universidad Francisco de Paula Santander in Cúcuta, Colombia; he graduated as a specialist in Integrated Management Systems in 2016 at the Universidad de Santander Cúcuta Campus, and he is currently pursuing the M.Eng. degree in Industrial Engineering at the Universidad Nacional de Colombia in Medellín, Colombia. Cáceres-Gelvez’s research interests include production planning and scheduling, facility layout design, lean manufacturing, operations research, and simulation.

Martín Darío Arango-Serna, Dr., Universidad Nacional de Colombia sede Medellín

M.D. Arango-Serna, graduated as Industrial Engineer in 1991 from Universidad Auto?noma Latinoamericana, Colombia, in M.Sc. in Systems Engineering in 1997 by the Universidad Nacional de Colombia - Sede Medelli?n, PhD. In Industrial Engineering in 2001 by the Polytechnic University of Valencia, Spain. He is a full professor at the Department of Organization Engineering at the Faculty of Mines, Universidad Nacional de Colombia, Medellin Campus. He is Senior Researcher according to Colciencias classification. Director of the Industrial-Organizational Logistics R +D+I Group "GICO". The topics in which Professor Arango- Serna works are related to logistics processes in the supply chain, operations research, plant design, industrial-organizational optimization techniques, among others.

Julián Andrés Zapata-Cortés, Dr., Institución Universitaria CEIPA

J.A. Zapata-Cortes, graduate as Chemical Engineer in 2006, M.Sc. in Management Engineering in 2011 and as PhD. in Engineering - Industry and Organizations, at the Universidad Nacional de Colombia. He currently works as a Postgraduate Researcher at the CEIPA Business School. Junior researcher according to Colciencias classification. His topics of interest are the optimization of transport and inventory networks, information and communication technologies applied to the supply chain and business administration processes, among others.