Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2677
Title: Scheduling of non-repetitive lean manufacturing systems under uncertainty using intelligent agent simulation
Authors: Papadopoulou, T C
Mousavi, A
Keywords: Lean manufacturing;Just-in-time;Scheduling;Shop-floor control;Non-repetitive manufacturing;Job-shops;Performance modelling;Intelligent agent simulation
Issue Date: 2008
Publisher: Brunel University
Citation: The 6th International Conference on Manufacturing Research (ICMR08), Brunel university, UK, 9-11th September 2008. pp. 207-215
Abstract: World-class manufacturing paradigms emerge from specific types of manufacturing systems with which they remain associated until they are obsolete. Since its introduction the lean paradigm is almost exclusively implemented in repetitive manufacturing systems employing flow-shop layout configurations. Due to its inherent complexity and combinatorial nature, scheduling is one application domain whereby the implementation of manufacturing philosophies and best practices is particularly challenging. The study of the limited reported attempts to extend leanness into the scheduling of non-repetitive manufacturing systems with functional shop-floor configurations confirms that these works have adopted a similar approach which aims to transform the system mainly through reconfiguration in order to increase the degree of manufacturing repetitiveness and thus facilitate the adoption of leanness. This research proposes the use of leading edge intelligent agent simulation to extend the lean principles and techniques to the scheduling of non-repetitive production environments with functional layouts and no prior reconfiguration of any form. The simulated system is a dynamic job-shop with stochastic order arrivals and processing times operating under a variety of dispatching rules. The modelled job-shop is subject to uncertainty expressed in the form of high priority orders unexpectedly arriving at the system, order cancellations and machine breakdowns. The effect of the various forms of the stochastic disruptions considered in this study on system performance prior and post the introduction of leanness is analysed in terms of a number of time, due date and work-in-progress related performance metrics.
URI: http://bura.brunel.ac.uk/handle/2438/2677
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers



Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.