dc.contributor.author Bielunska-Perlikowski, Krystyna. en_US dc.date.accessioned 2014-10-21T12:36:48Z dc.date.available 2014-10-21T12:36:48Z dc.date.issued 1997 en_US dc.identifier.other AAINQ31517 en_US dc.identifier.uri http://hdl.handle.net/10222/55535 dc.description The object of this research is to study the issue of proper coordination in a multicellular manufacturing system. In 1992, Buzacott and Shanthikumar introduced the Production Authorization Cards (PAC) system, a new coordination scheme for material and information flow control in multicellular manufacturing systems. In this thesis we describe both a simulation model and optimization method for the PAC control and show their application in a number of settings. en_US dc.description The thesis first describes and reviews the literature for common manufacturing control policies and then focuses on the description of the PAC concept. Since the PAC system forms a basis for the research, a complete presentation is essential for understanding of the research issues. en_US dc.description The development of a simulation model of a multi-cell multi-product manufacturing system coordinated by Production Authorization Cards was an essential part of this research. This model allows for the performance evaluation of the PAC controlled manufacturing system. It permits the analysis of systems with assembly aspects, batching and complex routing. Execution speed and the ability to be called as a subroutine in an overall optimization are key features. en_US dc.description The PAC optimization algorithm uses the simulation model for the evaluation of the cost function to be optimized. The optimization algorithm is based on hill climbing methods similar to Hooke and Jeeves. It is a search consisting of a sequence of exploration steps about a base set of PAC parameters, which, if successful, are followed by pattern moves. The PAC optimization model can, at best, be guaranteed to produce local optima. A second algorithm, based on random search principles, has been developed to verify how well the first method performs. en_US dc.description The use of the simulation model and the PAC optimization algorithm are illustrated with 5 different examples of manufacturing configurations, ranging from a very simple one to a quite complex one. The optimization algorithm is quite feasible for systems with a small number of final and intermediate products (less than 20). Numerical results for nine different coordination policies (PAC-general, PTO, PTO-variant with $\tau\ge 0,$ MRP, Kanban, LC, BSS, IC, CONWIP) for all five examples are presented for a variety of cases aimed at exploring the dependence of results on the particular form of arrival time and processing time distributions. The results demonstrate that, for each specific instance of the manufacturing process, there is an optimal coordination scheme, which strongly depends on distributional assumptions. This implies that findings, so often reported in the research literature, based on models with exponential processing times and Poisson arrival of demand, do not directly apply to systems operating on other conditions. (Abstract shortened by UMI.) en_US dc.description Thesis (Ph.D.)--DalTech - Dalhousie University (Canada), 1997. en_US dc.language eng en_US dc.publisher Dalhousie University en_US dc.publisher en_US dc.subject Engineering, Industrial. en_US dc.title Planning, control and management of multicellular manufacturing systems by production authorization cards (PAC) system. en_US dc.type text en_US dc.contributor.degree Ph.D. en_US
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