Comprehensive application of operational excellence techniques with discrete event simulation for productive improvement in a ceramic industry

Authors

  • Ignacio Heredia Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Micaela Letier Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Geraldina Yesica Roark Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires https://orcid.org/0000-0002-4430-9873 (unauthenticated)
  • Franco Javier Chiodi Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Mariano De Paula Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires

Keywords:

TOC, Lean, Six sigma, Discrete event simulation, FlexSim®

Abstract

Currently, productive organizations face an era of constant challenges related to the adaptation of their processes to the new productive paradigm of intelligent industries, globalized markets, high competitiveness and product customization. Under this scenario, operational excellence methodologies integrated with digital twin technologies play a leading role in improving business performance and generating competitive advantages.
The present work proposes as a central axis of research the joint application of the TLS model (TOC, Lean, Six Sigma) with discrete event simulation techniques and experimental designs, as a basis to generate an improvement in the productive capacity of a porcelain tile line. in a ceramic industry, located in the province of Buenos Aires.
The methodology used for its development consists of four (4) main phases. A first phase of characterization of the process and quantification of resources for the development of a conceptual model. A second phase of development and validation of the computational model, using FlexSim® as a simulation tool. A third phase of diagnosis, where through the VSM technique and the theory of restrictions, the cooking operation was identified as the bottleneck of the system. And a last phase, analysis, in which, through a unifactorial experiment design, different scenarios were evaluated to enhance the productive capacity of the line by implementing changes in the current structure of the furnace.

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Author Biographies

  • Ignacio Heredia, Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires

    Ignacio Heredia is an Industrial Engineer, graduated from the Faculty of Engineering at the National University of the Center of the Province of Buenos Aires (UNCPBA), Argentina (2023). During 2021-2022, he was part of the UNCPBA research group as part of the project titled "Simulation Methods in Industry 4.0 to Support Decision-Making." Currently, he works as a Project and Sales Engineer at a globally recognized company in the city of Chacabuco, Buenos Aires province, advising clients from a technical-commercial perspective in support of CAPEX investments. You can contact him at nachoheredia5@gmail.com

  • Micaela Letier, Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires

    Micaela Letier is an Industrial Engineer, graduated from the Faculty of Engineering at the National University of the Central Province of Buenos Aires (UNCPBA), Argentina (2023). During 2021-2022, she was part of the UNCPBA research group within the project titled "Simulation Methods in Industry 4.0 as Decision Support." She currently works as a Supply Chain Analyst at Carrefour Argentina. (Contact: micaelaletier@gmail.com)

  • Geraldina Yesica Roark, Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires

    Geraldina Roark is an Industrial Engineer, graduated from the Faculty of Engineering at the National University of the Center of the Province of Buenos Aires (UNCPBA), Argentina (2009). She earned a Master's degree in Operations Management from the Faculty of Engineering at the Austral University, Argentina (2017). She is a researcher at the INTELYMEC group (Olavarría; Argentina), UNCPBA. Her areas of interest include the application of operations management techniques along with Industry 4.0 technologies to facilitate decision-making in complex systems. Additionally, she works as a professor at the Faculty of Engineering at UNCPBA.

  • Franco Javier Chiodi, Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires

    Franco Chiodi is a Chemical Engineer, graduated from the Faculty of Engineering at the National University of the Center of the Province of Buenos Aires (UNCPBA), Argentina (2002). He holds a Master's degree in Economics and Industrial Development, specializing in SMEs, from the Institute of Industry at the National University General Sarmiento (UNGS), Argentina (2005). He serves as a professor and researcher at the Faculty of Engineering at UNCPBA. Additionally, he is the director of the Department of Industrial Engineering at UNCPBA

  • Mariano De Paula, Facultad de Ingeniería, Universidad Nacional del Centro de la Provincia de Buenos Aires

    Mariano De Paula is an Industrial Engineer, graduated from the Faculty of Engineering at the National University of the Central Province of Buenos Aires (UNCPBA), Argentina (2007). He obtained his Doctorate in Engineering from the National Technological University (UTN-FRSF), Argentina (2013). He is a research member of CONICET and works in the INTELYMEC group (Olavarría; Argentina), UNCPBA. His research interests include the study of bio-inspired techniques, artificial intelligence, and reinforcement learning and its variants for control and decision-making in complex systems. He also serves as a professor in the Faculty of Engineering at UNCPBA. Contact: mariano.depaula@fio.unicen.edu.ar

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Published

2024-01-18

How to Cite

Comprehensive application of operational excellence techniques with discrete event simulation for productive improvement in a ceramic industry. (2024). AACINI - International Journal of Industrial Engineering, 3(2), 1-16. https://riii.fi.mdp.edu.ar/index.php/AACINI-RIII/article/view/82