Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411898
Title: Trends in shop floor control
Author: Pinto, Joao Paulo Oliveira.
Awarding Body: University of Huddersfield
Current Institution: University of Huddersfield
Date of Award: 2004
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Abstract:
The current competitive scenario forces firms to improve their manufacturing and service systems in order to cope with permanent market changes which drives them to seek means of cutting costs without sacrificing the quality and innovation of their products and services. For many manufacturers the number of base products and options in their mix has grown enormously, forcing production managers to be prepared to produce a widening range of different product configurations in lower volumes. Customers, on the other hand, are expecting greater responsiveness in fulfilling their needs, greater flexibility and permanent cost reductions. To cope with this, firms need to change the way they manage their operations. Traditional planning and control practices need to be revised or abandoned and new approaches adopted so firms can achieve the required levels of performance. The research presented in this thesis is devoted to study the current trends in Shop Floor Control systems. The shop floor is the place where the real things happen, and its activities involve the factory resources that most impact on time and costs, and are responsible for adding value to materials and services provided by each industrial firm. The success of any industrial supply chain management system is ultimately based on the performance of its shop floor. The research carried out involved an extensive literature review on SFC theory and practice, and recognised the gap between operations research (OR) methods and operations management (OM) approaches. Whereas OR is concerned with finding the optimal solution to mathematically-based scheduling problems and OM seeks to get the best performance from production resources at a point in time so that a firm's goals are realized. Two industrial surveys were undertaken with the aim to identify current SFC practices within the batch manufacturing sector. The findings revealed a gap between what is studied and researched in the SFC field and its actual practice. There is a significant dissociation between what is being offered by the academic world and the needs of the industrial practices, being the software houses (providers) somewhere in the middle trying to introduce new tools or improvement on the existing ones (which in turn continue to offer a limited range of valuable features that can actually be used by SFC practitioners). To reinforce the findings from the literature review and the industrial surveying process, a series of case studies and industrial visits were carried out. The conclusions drawn from this stage show an industrial practice based on traditional approaches to SFC system, mainly manual and informal systems with fewer or none assistance from computer-based systems. The dynamics of the industrial environments normally found in industry are not compatible with available SFC applications. It was demonstrated that most of SFC managers are "eager to find simple solutions in a complex world". The research proposed a new reference model to SFC system. The reference model is based on the industrial experience and in the most proved models to SFC found in the literature. The reference model adopts a systemic approach to the SFC problem by promoting its integration and synchronization with the firm's supply chain management system. Another important feature of the proposed reference model was its dependence upon human-based systems, whereas computer-based applications are proposed as tools (forming a hybrid system). The simplicity and its practical orientation proved to be an important advantage of the reference model. Several orientations and guidance is provided when the reference model are to be applied into a practical situation
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.411898  DOI: Not available
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