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Warianty tytułu
Języki publikacji
Abstrakty
The paper presents a three-level method used to support the management of product flow through supply chain links (e.g. production lines) and between these links: suppliers and recipients of products of various types.The supply chain includes both producers of components (suppliers) and recipients of these components, which are used for the production of complex goods. The method is dedicated to the development of schedules of product flows through particular production plants (links in supply chains) and between individual plants. Each module of the developed system refers to a separate production plant. The organization of product flow through production lines covers different types of production routes and different configurations of production systems. At the first level of the method, preliminary production schedules are developed for each plant within the supply chain. The second level of the method is dedicated to the development of delivery schedules of components and semi-finished products to these plants. The determined delivery times of components to the individual production plants constitute data for the third level of the method. At this lowest level, detailed schedules of product flow through production lines with the producers of complex goods are developed. Linear mathematical models have been built for each level of the method. In the developed method, optimization take place in the developed method in the scale of the entire supply chain (cost reduction), as well as in the scale of its links (production lines for which manufacturing schedules are built with various criteria taken into consideration). The computational experiments used for verification of the method have been included.
Rocznik
Tom
Strony
933--946
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
- AGH University of Science and Technology, Faculty of Management, Chair of Operations Research and Information Technology, 30 A. Mickiewicza Ave., 30-059 Krakow, Poland
Bibliografia
- [1] H. Stadtler, “Supply chain management and advanced planning - basics, overview and challenges”, Eur. J. Operational Research 163 (3), 575-588 (2005).
- [2] F. Buttle, Customer Relationship Management. Concepts and technologies, Elsevier, Oxford, 2009.
- [3] T. Sawik, Scheduling in Supply Chains Using Mixed Integer Programming, John Wiley & Sons, New Jersey, 2011.
- [4] T. Sawik, “An integer programming approach to scheduling in a contaminated area”, Omega: Int. J. Management Science 38 (3-4), 179-191 (2010).
- [5] T. Sawik, Production Planning and Scheduling in Flexible Assembly Systems, Springer-Verlag, Berlin, 1999.
- [6] T. Sawik, “A mixed integer program for cyclic scheduling of flexible assembly lines”, Bull. Pol. Ac.: Tech. 62 (1), 121-128 (2014).
- [7] H. Stadtler, C. Kilger, and H. Meyr, Supply Chain Management and Advanced Planning, Concepts, Software an Case Studies, Springer - Verlag, Berlin, 2015.
- [8] M. SteadieSeifi, N.P. Dellaert, W. Nuijten, T. Van Woensel, and R. Raoufi. “Multimodal freight transportation planning: a literature review”, Eur. J. Operational Research 233 (1), 1-15 (2014).
- [9] L. Bertazzi and M.G. Speranza, “Inventory routing problems: an introduction” EURO J Transportation and Logistics 1 (4), 307-326 (2012).
- [10] J. Miemczyk, T.E. Johnsen, and M. Macquet, “Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels”, Supply Chain Management: Int. J. 17 (5), 478-496 (2012).
- [11] Ch. Georgi, I.L. Darkow, and H. Kotzab, “Foundations of logistics and supply chain research: a bibliometric analysis of four international journals”, Int. J. Logistics Research and Applications: a Leading J. Supply Chain Management 16 (6), 522-533 (2013).
- [12] A. Scheuermann and J. Leukel, “Task ontology for supply chain planning - a literature review”, Int. J. Computer Integrated Manufacturing 27 (8), 719-732 (2014).
- [13] M.S. Barketau, M.Y. Kovalyov, J.Węglarz, and M. Machowiak, “Scheduling arbitrary number of malleable tasks on multiprocessor systems”, Bull. Pol. Ac.: Tech. 62 (2), 255-261 (2014).
- [14] T.C. Miller, Hierarchical Operations in Supply Chain Planning, Springer, London, 2002.
- [15] A. Che, M. Chabrol, M. Gurgand, and Y. Wang, “Scheduling multiple robots in no-wait re-entrant robotic flowshop”, Int. J. Production Economics 135 (1), 199-208 (2012).
- [16] K.W. Pang, “A genetic algorithm based heuristic for two machine no-wait flow shop scheduling problems with class setup times that minimizes maximum lateness”, Int. J. Production Economics 141 (1), 127-136 (2013).
- [17] T.C Chiang and H.J. Lin, “A simple and effective evolutionary algorithm for multiobjective flexible job shop scheduling”, Int. J. Production Economics 141 (1), 87-98 (2013).
- [18] M. Magiera, “A relaxation heuristic for scheduling flowshops with intermediate buffers”, Bull. Pol. Ac.: Tech. 61 (4), 929-942 (2013).
- [19] M. Magiera, “Methods of supplier selection for producers of electric and electronic equipment”, Przegląd Elektrotechniczny (Electrical Review) 89 (4), 66-70 (2013).
- [20] R. Fourer, D. Gay, and B. Kernighan, AMPL, A Modelling Language for Mathematical Programming, Duxbury Press, Pacific Grove, 2003.
- [21] http://www.gurobi.com (Gurobi Optimizer 6.0, January 2015).
- [22] S.M. Johnson, “Optimal two- and three stage production schedules with setup times included”, Naval Research Logistics Q. 1, 61-68 (1954).
- [23] A.H. Azadnia and M.Z.M. Saman. “Sustainable supplier selection and order lot-sizing an integrated multi-objective decisionmaking process”, Int. J. Production Research 53 (2), 383-408 (2015).
- [24] S. Pashaei and J. Olhager. “Product architecture and supply chain design: a systematic review and research agenda”, Supply Chain Management: Int. J. 20 (1), 98-112 (2015).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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