Managing production and transportation in balanced supply networks

• Autorzy: Filcek G. , Józefczyk J.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with a special case of supply networks that consist of three interconnected subsystems: raw material warehouses, production units and product warehouses. The purpose of the decision-making for such systems is to allocate a raw material among parallel production units and to determine transportation plans for the raw material and for a product in such a way as to minimize the total cost connected with the production and the transportation. The solution algorithm for a special case of supply networks, where all production units can produce the same amount of the product from a unit of the raw material, is presented. It is based on a special decomposition of the problem which allows us to determine the solution consecutively for the increasing number of production units involved in the manufacture, starting from the case with only one production unit. A sufficient condition for the optimal solution is proved, and the properties of the algorithm are presented.

Słowa kluczowe

EN

manufacturing systems; decision support systems; optimization; supply network management; transportation

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2009
• Tom: Vol. 35, no 4
• Strony: 49--59
• Opis fizyczny: Bibliogr. 29 poz., rys.

Twórcy

autor

Filcek G.

autor

Józefczyk J.

• Wroclaw University of Technology, Institute of Information Science and Engineering, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, Poland,

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, Proceedings of 18th International Conference on 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, Vol. 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 Symposium on Intelligent Autonomous Vehicles, IAV 2004, preprints.
• [6] Bubnicki Z., Wołkowiński K., Allocation algorithms for the complex of production operations with transport of materials, Proceedings of the 18th IASTED International Conference on 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] Cheng F., Ettl M., Yao DD., Inventory-service optimization in configure-to-order systems, Manufacturing and Service Operations Management, Vol. 4, No. 2, 2002, pp. 114-132.
• [9] Chiang W.K., Monahan G.E., Managing inventories in a two-echelon dual-channel supply chain, European Journal of Operational Research, Vol. 162, 2005, pp. 325-341.
• [10] Ernst R., Kamrad B., Evaluation of supply chain structures through modularization and postponement, European Journal of Operational Research, Vol. 124, 2000, pp. 495-510.
• [11] Filcek G., Algorithm of joint allocation and transportation in time varying supply network, [in:] Information Systems Architecture and Technology: Models of the Organisation’s Risk Management, Wroclaw, 2009, pp. 129-139.
• [12] Filcek G., Optimal reallocation of the production in a class of balanced supply networks, Proceedings of XVII International Conference on Systems Science, ICSS’2010 Wroclaw, Poland, 2010, (to be submitted).
• [13] Filcek G., Józefczyk J., Decision-making for supply chains with transportation and production units, Systems Science, Vol. 33, No. 1, 2007, pp. 53-59.
• [14] Filcek G., Szczepanik P., Application of the evolutionary algorithm in the joint allocation and transportation problem, [in:] Inżynieria Wiedzy i Systemy Ekspertowe, “EXIT”, Warsaw, 2009, pp. 441-152, (in Polish).
• [15] Jang Y.J., Jang S.Y., Chang B.M., ParkJ., A combined model of network design and production/distribution planning for a supply network, Computers & Industrial Engineering, Vol. 43, 2002, pp. 263-281.
• [16] Józefczyk J., Selected Decision Making Problems in Complex Operation Systems, Wrocław University of Technology Press, Wrocław, 2001, (in Polish).
• [17] Kozak K., Simulation of control system of industrial transportation with production units, Master Thesis, Wrocław University of Technology, Institute of Information Science and Engineering, 2005, (in Polish).
• [18] Lee H.L., Billington C., The evolution of supply-chain-management models and practice at Hewlett-Packard, Interfaces, Vol. 25, No. 5, 1995, pp. 42-63.
• [19] Lejeune M.A., A variable neighborhood decomposition search method for supply chain management planning problems, European Journal of Operational Research, Vol. 175, 2006, pp. 959-976.
• [20] Lin G., Ettl M., Buckley S. et al., Extended-enterprise supply-chain management at IBM personal systems group and other divisions, Interfaces, Vol. 30, No. 1, 2000, pp. 7-25.
• [21] Meixell M.J., Gargeya V.B., Global supply chain design: A literature review and critique, Transportation Research Part E, Vol. 41, 2005, pp. 531-550.
• [22] Mula J., Peidro D. et. al., Mathematical programming models for supply chain production and transport planning, European Journal of Operational Research, 2009, (in Press).
• [23] Nagurney A., Dong J., Zhang D., A supply chain network equilibrium model, Transportation Research Part E, Vol. 38, 2002, pp. 281-303.
• [24] Nahmias S., Supply Chain Management, Production and Operations Analysis, 4th ed., McGraw-Hill, Boston, 2001.
• [25] Prahinski C., Kocabasoglu C., Empirical research opportunities in reverse supply chains, Omega, Vol. 34, 2006, pp. 619-632.
• [26] Sery S., Presti V., Shobrys D.E., Optimization models for restructuring BASF North America's distribution system, Interfaces, Vol. 31, No. 3, 2001, pp. 55-65.
• [27] Tsai J.F., An optimization approach for supply chain management models with quantity discount policy, European Journal of Operational Research, Vol. 177, 2007, pp. 982-994.
• [28] Yeh W.C., A hybrid heuristic algorithm for the multistage supply chain network problem, International Journal Advanced Manufaturing Technology, Vol. 26, 2005, pp. 675-685.
• [29] Weng Z.K., Modeling quantity discounts under general price-sensitive demand functions: Optimal policies and relationships, European Journal of Operational Research, Vol. 86, 1995, pp. 300-314