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Czasopismo
2007 | Vol. 33, no 1 | 53-59
Tytuł artykułu

Decision-making for supply chains with transportation and production units

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper concerns a supply chain system, that consists of three interconnected sub-systems (stages): a set of raw material warehouses, a set of production units and a set of product warehouses. The purpose of the decision-making for such a system is the allocation of a raw material among parallel production units and the determination of the transportation plans for the raw material and the product to minimize the total cost. In the paper, two versions of the decision-making problem are formulated. In the first one, all decisions are made jointly. The second simplified version consists in a consecutive determination of optimal allocation of the raw material and both transportation plans. The problem formulation for both cases are given. The equivalence condition of both versions for the simple case is presented. The numerical example completes the paper.
Wydawca

Czasopismo
Rocznik
Strony
53-59
Opis fizyczny
Bibliogr. 18 poz., rys., wykr.
Twórcy
autor
  • Wrocław University of Technology, Institute of Information Science and Engineering, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, Poland, jerzy.jozefczyk@pwr.wroc.pl
Bibliografia
  • [1] Beamon B.M., Measuring supply chain performance, International Journal of Operations & Production Management, Vol. 19, No. 8, 1994, pp. 275-292.
  • [2] Bubnicki Z., Application of Uncertain Variables to Knowledge-Based Decision Making in a Class of Production Systems, Proc. 18th Int. Conf. Production Research, [cd-rom], Salerno, 2005.
  • [3] Bubnicki Z., Learning process in a class of computer integrated manufacturing systems with parametric uncertainties, Journal of Intelligent Manufacturing, 13, 2002, pp. 409-415.
  • [4] Bubnicki Z., Simulation of an Industrial Transport System, Simulation in Industry, 8th European Simulation Symposium, ESS ‘96, Genoa, Italy, 1996, pp. 305-309.
  • [5] Bubnicki Z.. Uncertain variables and learning process in an intelligent transportation system with production units, 5th IFAC/EURON Symp. Intelligent Autonomous Vehicles, IAV 2004, Preprints.
  • [6] Bubnicki Z., Wołkowiński K., Allocation algorithms for the complex of production operations with transport of materials, Proc. 18th IASTED Int. Conf. Modeling, Identification and Control, Innsbruck, Austria, 1999, pp. 33-36.
  • [7] Bubnicki Z.. Wołkowiński K., On the allocation problem in a production system with transport of materials. Systems Science, Vol. 24, No. 3, 1998, pp. 89-100.
  • [8] Chiang W.K., Monahan G.E., Managing inventories in a two-echelon dual-channel supply chain, European Journal of Operational Research, 162, 2005, pp. 325-341.
  • [9] Jang Y.J., Jang S.Y., Chang B.M., Park J., A combined model of network design and production/distribution planning for a supply network. Computers & Industrial Engineering, 43, 2002. pp. 263-281.
  • [10] Józefczyk J., Selected Decision Making Problems in Complex Operation Systems (in Polish), Wrocław University of Technology Press, Wrocław 2001.
  • [11] Kozak K., Simulation of control system of industrial transportation with production units (in Polish), Master Thesis, Wroclaw University of Technology, Institute of Information Science and Engineering, 2005.
  • [12] Lejeune M.A., A variable neighborhood decomposition search method for supply chain management planning problems, European Journal of Operational Research, 175, 2006, pp. 959-976.
  • [13] Meixell M.J., Gargeya V.B., Global supply chain design: A literature review and critique. Transportation Research Part E, 41, 2005, pp. 531-550.
  • [14] Nagurney A., Dong J., Zhang D., A supply chain network equilibrium model. Transportation Research Part E, 38, 2002, pp. 281-303.
  • [15] Prahinski C.. Kocabasoglu C., Empirical research opportunities in reverse supply chains, Omega, 34, 2006, pp. 519-532.
  • [16] Tsai J.F., An optimization approach for supply chain management models with quantity discount policy, European Journal of Operational Research, 177, 2007, pp. 982-994.
  • [17] Yeh W.C., A hybrid heuristic algorithm for the multistage supply chain network problem. International Journal Advanced Manufacturing Technology, 26, 2005, pp. 675-685.
  • [18] Weng Z.K., Modeling quantity discounts under general price-sensitive demand functions: Optimal policies and relationships, European Journal of Operational Research. 86, 1995, pp. 300-314.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0027-0093
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