Optimization of Lean Methodologies in the Textile Industry Using Design of Experiments
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Optimization of Lean Methodologies in the Textile Industry Using Design of Experiments

Authors: Ahmad Yame, Ahad Ali, Badih Jawad, Daw Al-Werfalli Mohamed Nasser, Sabah Abro

Abstract:

Industries in general have a lot of waste. Wool textile company, Baniwalid, Libya has many complex problems that led to enormous waste generated due to the lack of lean strategies, expertise, technical support and commitment. To successfully address waste at wool textile company, this study will attempt to develop a methodical approach that integrates lean manufacturing tools to optimize performance characteristics such as lead time and delivery. This methodology will utilize Value Stream Mapping (VSM) techniques to identify the process variables that affect production. Once these variables are identified, Design of Experiments (DOE) Methodology will be used to determine the significantly influential process variables, these variables are then controlled and set at their optimal to achieve optimal levels of productivity, quality, agility, efficiency and delivery to analyze the outputs of the simulation model for different lean configurations. The goal of this research is to investigate how the tools of lean manufacturing can be adapted from the discrete to the continuous manufacturing environment and to evaluate their benefits at a specific industrial.

Keywords: Lean manufacturing, DOE, value stream mapping, textiles.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127054

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References:


[1] Hokoma, R. A., “The Current Awareness of Just-In-Time Techniques within the Libyan Textile Private Industry”, World Academy of Science, Engineering and Technology, 2010.
[2] Rudrajeet, P., Håkan, T., and Heikki, M., “Antecedents of organizational resilience in economic crises -an empirical”, Study of Swedish textile and clothing SMEs, 2013.
[3] Womack, J.P., Jones, D.T., and Ross, D., “The Machine That Changed the World”. Macmillan Publishing Company, Canada, 1990.
[4] Fawaz, A., “Lean Manufacturing Tools and Techniques in the Process Industry with a Focus on Steel”, PhD Dissertation, University of Pittsburgh, 2003.
[5] Senem, K. B., Koncar, K. V., and Kalaoglu, F., “Wearable obstacle detection system fully integrated to textile structures for visually impaired people”, 2012.
[6] Ngai, Peng, Alexander, and Moon, “Decision support and intelligent systems in the textile and apparel supply chain”, an academic review of research articles, 2013.
[7] Chakravorty, S.S., and Atwater, J.B., “A comparative study of line design approaches for serial production systems”, International Journal of Operations and Production Management 16 (6), 91–108, 1996.
[8] Chakravorty, S.S, and Atwater, J.B., “Do JIT lines perform better than traditionally balanced lines”, International Journal of Operations and Production Management 15, 77–88, 1995.
[9] Greasley, A., “Using simulation for facility design: A case study”, Aston Research Explorer, 2008.