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Optymalizacja rozmieszczenia stanowisk kontrolnych dla systemu klasy montaż na zamówienie

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Języki publikacji
PL
Abstrakty
PL
Zaprezentowane w tej pracy podejście do modelowania symulacyjnego i optymalizacji wieloporduktowego i wielostanowiskowego systemu klasy montaż na zamówienie pozwala na rozwiązanie problemu wprowadzenia strategii kontroli do systemu. Opracowany model pozwala na obliczenie całkowitych kosztów kontroli jakości biorąc pod uwagę wpływ ustawienia stanowisk na czas cyklu i wykorzystanie. Opisana metoda optymalizacji bazująca na symulacji pozwala znaleźć rozwiązania bliskie optymalnemu. Kierunkiem dalszych badań powinno być skonstruowanie algorytmu (np. genetycznego) dla wielostanowiskowego i wieloproduktowego systemu produkcyjnego z montażem. Algorytm działałby na modelu analitycznym opracowanym w tej pracy dla systemu z montażem. Należałoby porównać i zweryfikować wyniki otrzymane z oprogramowania do optymalizacji OptQuest z wynikami uzyskanymi dzięki optymalizacji opracowanym algorytmem.
EN
The main goals of quality management in all industries are customer satisfaction by delivery of defect-free products and the radical reduction of defect rates and quality costs in the production. Controlled technological processes are the most important way to reach these goals. Consumers would like to have products personalized to their individual preferences, but they are impatient. Therefore manufacturers can gain competitive advantage by offering customizable products and delivering these products quickly. This feat is accomplished by designing a family of products that can be rapidly assembled from various combinations of a relatively small set of modular components, in response to customer orders. In this work the main goal is to find simulation-based oplimization methodology in order to select the locations and characteristics of inspection stations and rework operatians for multistage, multiproduct assembly system.
Rocznik
Tom
Strony
147--161
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
  • Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki
Bibliografia
  • [1] Plambeck, E.L., Ward, A.R. Optimal control of a high-volume assemble-to-order system with maximum leadtime quotation and expediting. Queueing Systems 60, 2008, s.1-69
  • [2] ElHafsi, M. Optimal integrated production and inventory control of an assemble-toorder system with multiple non-unitary demand classes. European Journal of Operational Research 194, 2009, s. 127-142
  • [3] Song, D.P., Hicks, C., Earl, C.F. Product due date assignment for complex assemblies. Int. J. Production Economics 76, 2002, s. 243-256
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  • [8] Gold, H. A Markovian single server with upstream job and downstream demand arrival stream. Queueing Systems 30, 1998, s. 435-455
  • [9] Hemachandra, N., Eedupuganti, S.K. Performance analysis and buffer allocations in some open assembly systems. Computers & Operations Research 30, 2003, 695-704
  • [10] Azaron, A., Kianfar, F. A multi-objective lead time control problem in multistage assembly systems using an interactive method. Applied Mathematics and Computation, 176, 2006a , s. 609–620
  • [11] Yuan, X.-M., Liu, L. Performance analysis of assembly systems with unreliable machines and finite buffers. European Journal of Operational Research 161, 2005, s. 854-871
  • [12] Asadathorn, N., Chao, X.: A decomposition approximation for assembly –disassembly queuing networks with finite buffer and blocking. Annals of Operations Research, 87, 1999, s. 247-261
  • [13] Hopp, W.J., Simon, J.T. Bounds and heuristics for assembly-like queues. Queueing Systems 4, 1989, s. 137-156
  • [14] Azaron, A., Katagiri, H., Kato, K., Sakawa, M. Modelling complex assemblies as a queueing network for lead-time control. European Journal of Operational Research, 2006b
  • [15] Eid, M.S., Moghrabi, C., Eldin, H.K. A simulation approach to evaluating quality cost decision scenarios, Computers ind. Engng., Vol. 33, No.1-2, 1997, s. 105-108
  • [16] Mandroli, S.S., Shrivastava, A.K., Ding, Y. A survey of inspection strategy and sensor distribution studies in discrete-part manufacturing processes. IIE Transactions 38, 2006, s. 309-328
  • [17] Hong-Fwu, Y., Wen-Ching, Y. An optimal mixed policy of inspection and burn-in and the optimal production quantity. Int. J. Production Economics 105, 2007, s. 483-491
  • [18] Chang, S.J., Hyun ,P.Y., Park, E.H. Quality Costs in Multi-Stage Manufacturing Systems. Computers ind. Engng, Vol. 31, No. 1/2, 1996, s. 115-118
  • [19] Volsem, S.V., Dullaert, W., Landeghem, H.V. An Evolutionary Algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes. European Journal of Operational Research 179, 2005, s. 621-633
  • [20] Gurnani, H., Drezner, Z., Akella, R. Capcity planning under different inspection strategies. European Journal of Operational Research 89, 1996, s. 302-312
  • [21] Rebello, R., Agnetis, A., Mirchandani, P.B. Specialized inspection problems in serial production systems. European Journal of Operational Research 80, 1995, s. 277-296
  • [22] Jewkes, E.M. Optimal inspection effort and scheduling for a manufacturing process with repair. European Journal of Operational Research 85, 1995, s. 340-351
  • [23] Oppermann, M., Sauer, W., Wohlrabe, H. Optimization of quality costs. Robotics and Computer Integrated Manufacturing 19, 2003, s. 35-140
  • [24] Benjaafar, S., ElHafsi, M. Production and inventory control of a single product assemble-to-order system with multiple customer classes. Management Science 52, 2006, s. 1896-1912
  • [25] Zheng, S. Dynamic quality control in assembly systems. IIE Transactions 32, 2000, s. 797-806
  • [26] Keblis, M.F., Duenyas, I. Control of an Assembly System with Processing and Subassembly-Type Uncertainty. The International Journal of Flexible Manufacturing Systems 11, 1999, s. 353-370
  • [27] Feng, Y., Jihong, O., Pang, Z. Optimal control of price and production in an assembleto-order system. Operations Research Letters 36, 2008, 506-512
  • [28] Kendall, D.G. Stochastic process occurring in the theory of queues and their analysis by the method of emblended markov chains, Ann. Math. Statist. 24, 1953, 338-354
  • [29] Montgomery, D.C. Design and Analysis of Experiments. John Wiley & Sons, 2009
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0014-0083
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