Application of lean scheduling and production control in non-repetitive manufacturing systems using intelligent agent decision support

Papadopoulou, Theopisti C. (2013) Application of lean scheduling and production control in non-repetitive manufacturing systems using intelligent agent decision support. (PhD thesis), Brunel University School of Engineering and Design, .

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Lean Manufacturing (LM) is widely accepted as a world-class manufacturing paradigm, its currency and superiority are manifested in numerous recent success stories. Most lean tools including Just-in-Time (JIT) were designed for repetitive serial production systems. This resulted in a substantial stream of research which dismissed a priori the suitability of LM for non-repetitive non-serial job-shops. The extension of LM into non-repetitive production systems is opposed on the basis of the sheer complexity of applying JIT pull production control in non-repetitive systems fabricating a high variety of products. However, the application of LM in job-shops is not unexplored. Studies proposing the extension of leanness into non-repetitive production systems have promoted the modification of pull control mechanisms or reconfiguration of job-shops into cellular manufacturing systems. This thesis sought to address the shortcomings of the aforementioned approaches. The contribution of this thesis to knowledge in the field of production and operations management is threefold: Firstly, a Multi-Agent System (MAS) is designed to directly apply pull production control to a good approximation of a real-life job-shop. The scale and complexity of the developed MAS prove that the application of pull production control in non-repetitive manufacturing systems is challenging, perplex and laborious. Secondly, the thesis examines three pull production control mechanisms namely, Kanban, Base Stock and Constant Work-in-Process (CONWIP) which it enhances so as to prevent system deadlocks, an issue largely unaddressed in the relevant literature. Having successfully tested the transferability of pull production control to non-repetitive manufacturing, the third contribution of this thesis is that it uses experimental and empirical data to examine the impact of pull production control on job-shop performance. The thesis identifies issues resulting from the application of pull control in job-shops which have implications for industry practice and concludes by outlining further research that can be undertaken in this direction.

Item Type: Thesis (PhD)
Physical Location: This item is held in stock at Kingston University library.
Uncontrolled Keywords: Just-in-time (JIT), Toyota production system (TPS), Pull control, Kanban, High variety low order (HVLV)
Research Area: Business and management studies
General engineering and mineral and mining engineering
Faculty, School or Research Centre: Faculty of Art, Design & Architecture (until 2017)
Faculty of Art, Design & Architecture (until 2017) > School of Surveying and Planning (from October 2008)
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Depositing User: Susan Miles
Date Deposited: 14 Jun 2013 13:30
Last Modified: 06 Nov 2018 11:49

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