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Capacity planning and allocation for a complex manufacturing system with product failuresPradhan, Salil. January 2005 (has links)
Thesis (Ph. D.)--State University of New York at Binghamton, Department of Systems Science and Industrial Engineering, 2005. / Includes bibliographical references.
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Towards a methodology for integrated freeform manufacturing systems development with a control systems emphasisStroble, Jacquelyn Kay, January 2007 (has links) (PDF)
Thesis (M.S.)--University of Missouri--Rolla, 2007. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 4, 2007) Includes bibliographical references.
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A hierarchical scheduling policy applied to printed circuit board assemblyJanuary 1984 (has links)
by Stanley B. Gershwin. / Bibliography: leaf 12. / "September, 1984." / U.S. Army Human Engineering Laboratory Contract no. DAAK-11-82-K-0018
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Performance of hierarchical production scheduling policyJanuary 1984 (has links)
by Ramakrishna Akella, Yong Choong and Stanley B. Gershwin. / "February, 1984." / Bibliography: p. 29. / NASA Grant No. NAG1-2
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Design of dynamic cellular manufacturing systemsBajic, Mirko M. January 2001 (has links) (PDF)
Bibliography: leaves 172-184. An analytical approach to the integrated problems of designing the dynamic cellular manufacturing systems layout concurrently with its material flow (handling) requirements, in such a manner that minimises the material handling within the system. The proposed strategy encourages the design of a dynamic layout to identify simultaneously the machine groups, economical machine distribution, and intracell and intercell layouts.
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Modélisation multi-contraintes d'un système de production flexible / Multi-constraints modelling of manifacturing systemsEloundou, José 11 July 2016 (has links)
Les ateliers flexibles représentent pour les industriels un réel atout face à la concurrence et à l'imprévisibilité du marché. La mise en place et la gestion de ces catégories d'ateliers de production est souvent complexe, difficile et coûteuse. Ce travail de thèse, propose un outil d'aide à la décision permettant d'accompagner les industriels dans l'acquisition et la gestion d'ateliers flexibles de production. Cet outil s'appuie sur un modèle de simulation basé sur les Réseaux de Pétri Colorés Hiérarchiques. En effet, la simulation permet d'observer les variations des paramètres du système et de déterminer ses critères de performance. Les objectifs de cet outil sont de permettre la modélisation, la simulation et l'évaluation des systèmes de production en prenant en compte plusieurs contraintes rencontrées dans les systèmes industriels. Nous avons utilisé ce simulateur pour tester et valider une solution au problème d'acheminement des produits au cours de la production. Le choix des Réseaux de Pétri(RdP), au détriment des modèles analytiques, se justifie par le fait qu'ils offrent une représentation graphique permettant une description des processus plus simplifiée que des modèles analytiques. Au-delà de la modélisation et la simulation, les RdP permettent de vérifier les blocages d'un système. Parmi les modèles que nous avons développés nous pouvons citer : les modèles des machines, des stocks, des ressources de transport et des produits dans un système de production flexible. Nous avons insisté sur la modélisation des produits, des machines et du système de transport qui représentent le coeur des problématiques de flexibilité. Nous avons validé ces modèles sur un cas réel à savoir la chaîne de production du CESI de Rouen. Ensuite pour résoudre le problème du transport, nous avons proposé et déployé une méthode d'aide à la décision basée sur l'entropie et le classement de règles de dispatching. Cette méthode permet de définir, en fonction de l'état actuel, un ordre de priorité entre les règles de dispatching. Nous avons comparé cette nouvelle méthode à la méthode classique où l'importance des règles de priorité est définie préalablement, avant la phase de production. Notre proposition a donné des résultats intéressants que nous avons exposés et discutés. / Flexible Manufacturing Systems are real opportunity for industrials to face the comptetion and the unpredictability of the market. The management implementation of this kind of manufacturing systems are complex difficult and expensive.In this thesis work, we propose a decision making tool for managing Flexible Manufacturing Systems. The latter is based on a simulation model with Hierarchical Colored Petri Nets. The simulation allows the observation of the parameters variation of a system, and the determination of performance criteria. The objectives of this tool are to enable the modeling, simulation and evaluation of production systems taking into account most of the constraints encountered in industrial systems. We used this simulator to test and validate a solution to the problem of routing products during production. The choice of Petri nets (PN) to the detriment of analytical models is justified by the fact that Petri Nets with its graphical representation allows a simplified description of processes as analytical models , Petri Nets can be used for simulation, and with simulation we can predict the behaviour of a systems during a production phase. Petri Nets allow, beyond modeling and simulation to prevent the dead locks of systems. These are the reasons why we use Petri Nets to develop our models. Among the models that we have developed we can mention : machine, stocks, transportation resources and products models. We insisted on product and machine modelling which are in the center of flexibility issues. In order to study the routing problem, We defined models to represent the transport activity. We validated these models on a real case namely the production chain of CESI of Rouen. Then to solve the routing problem, we developed a decision making method based on entropy and dispacthing rules. This method allows to modify the dispatching rules weight in function of the state of the manufacturing systems during the production (size of stocks; machine failure). We compared this method with an another one where the weight of dispatching rules are unchanged during the production phase. We obtained interesting result that we have presented and discussed.
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A decision support system for robotic motion planning using artificial neural networksMa, Heng January 1992 (has links)
No description available.
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The assembly of a microcomputer controlled low cost vision-robot system and the design of softwareKarr, Roger W. January 1985 (has links)
No description available.
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A methodology that integrates the scheduling of job sequencing and AGV dispatching in a FMSHamilton, Wade W. 04 September 2008 (has links)
A Flexible Manufacturing System (FMS) is an integrated system consisting of several automated work centers interconnected by an automated material handling system. An integrated scheduling methodology is required to schedule all FMS sub-systems. The overall objective of this research was to develop a scheduling methodology to integrate job sequencing and Automatic Guided Vehicle System dispatching within a FMS environment.
To develop the new scheduling methodology, the currently used AGVS controller decision set was examined and expanded. The expanded decision set gives the AGVS controller more options to choose from when scheduling the AGVS.
The developed integrated scheduling methodology contains four steps. The first step determines which job is to be processed next by each work center based on job sequencing heuristics. The second step determines which work center is to be serviced next by the AGVS based on the estimated time till the work center is forced to stop production. The third step determines which specific job is to be serviced next by the AGVS by combining the work centers' processing orders and the work center servicing priorities. The fourth step decides which AGV is to transport the job requiring immediate service.
Based on the preliminary study of a fictitious FMS, the new scheduling methodology showed a statistically significant increase in total job throughput, and a significant decrease in average flow time. Work center utilization also increased. A slight increase in unloaded AGV travel time was found, but was outweighed by the other benefits. / Master of Science
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Methodology to determine performance of a group technology design cell on the basis of performance measuresTank, Rajul 24 October 2009 (has links)
There are a large number of Group Technology (GT) based cell formation techniques in the literature, but their applications rare. It is hypothesized that the reason behind the lack of applications of these techniques in practice, is "fear of the unknown”. There have been a very limited number of attempts to determine the performance of any of the cell formation techniques. This thesis attempts to demonstrate a method to determine the performance of cell formation techniques by measuring the physical performance of the manufacturing cell.
The methodology involves a manual evaluative approach to determine the cell performance from the data given for the system. The methodology presents selection of important Performance Measures (PMs), data requirement for the measurement of PMs and cell formation technique analysis. The performance measures to determine the performance of these techniques were selected according to their importance to the productivity of the manufacturing cell and their significance among GT principles.
The cell formation techniques selected to demonstrate the method are Rank Order Clustering algorithm (ROC) and Production Flow Analysis (PFA). Using ROC and PFA, part families and machines groups were formed creating cell layouts. From the given data, performance measure values were calculated for a functional layout as well as ROC and PFA layouts. Performance of ROC and PFA layouts were compared to each other and to the functional layout.
Results from the example show that performance improvement can be achieved by the two cell formation techniques in all the performance measures category except in flexibility. Performance of ROC and PFA are the same in the categories of setup time, machine utilization. and flexibility. The reason being, similar machine groupings and part families were achieved by both techniques for this example. Material handling performance and flexibility are dependent largely on machine grouping, whereas setup time is dependent on part families. Machine utilization and work-in-process are dependent on machine groups as well as part families. It appears PFA would have better performance in cases of complex problems having large number of machines and parts due to its comprehensiveness and ability to group machines according to the parts’ processing similarities. The advantage of ROC is mainly in its ease of application and rather elegant way of handling bottleneck machines and exceptional parts. Due to the lack of flexibility in GT layouts, system design and operation planning should be done carefully. / Master of Science
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