The Dynamic Model of Closed-Loop Supply Chain with Product Recovering and its Robust Control

• Autorzy: Qiu R. , Huang X. , Lu Z.

Warianty tytułu

PL

Model dynamiczny łańcucha CLSC uwzględniający odzyskiwanie produktów i odporne sterowanie

• Języki publikacji: EN

Abstrakty

EN

In recent years, closed-loop supply chain (CLSC) operation has been an important method to recover waste materials and products for resource conservation and environmental protection and paid more attention in industry and academia. We establish a dynamic model for closedloop supply chain with product recovering with the consideration of some uncertainties including remanufacturing rate, disposal rate, operation costs and customers’ demand in this paper. Furthermore, we provide some insights about robust operation of closed-loop supply chain and propose a robust H∞ control strategy based on linear matrix inequality (LMI) arithmetic. Some simulations are executed to validate the effectiveness of our control strategy, and the results show that through state feedback control of supply chain inventories, it can not only make the CLSC achieve the goal of restraining uncertainty disturbances, but also result in an ideal operation cost.

PL

Closed loop supply chain (CLCP – zamknięta pętla łańcucha zasobów) jest dziś ważną metodą odzyskiwania zmarnowanego materiału i produktu w celu ochrony środowiska i konserwacji zasobów. Zaproponowano model dynamiczny uwzględniający niepewności typu tempo produkcji, tempo usuwania, koszty operacyjne i żądania klienta.

Słowa kluczowe

EN

closed-loop system; robust control; dynamic model; linear matrix inequalities (LMIs)

PL

łańcuch dostaw; sterowanie odporne; model dynamiczny

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 9b
• Strony: 1--4
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Qiu R.

• School of Business Administration, Northeastern University, Shenyang, China

autor

Huang X.

• School of Business Administration, Northeastern University, Shenyang, China

autor

Lu Z.

• School of Business Administration, Northeastern University, Shenyang, China

Bibliografia

• [1] Guide V.D.R., Jayaraman V., and Linton J.D., Building contingency planning for closed-loop supply chains with product recovery, J. Oper. Manage, 21(2003), No. 2, 259-279.
• [2] Govindan K., Palaniappan M., Zhu Q.H., Kanna D., Analysis of third party reverse logistics provider using interpretive structural modeling, Int. J. Prod. Econ, (2012), in press.
• [3] Easwaran G., Uster H., A closed-loop supply chain network design problem with integrated forward and reverse channel decisions, IIE Trans. 42(2010), No. 11, 779-792.
• [4] Denizel M., Ferguson M., Souza G., Multiperiod remanufacturing planning with uncertain quality of inputs, IEEET Eng Manage, 57(2010), No. 3, 394-404.
• [5] Qiang Q., Ke K., Anderson T., Dong J., The closed-loop supply chain network with competition, distribution channel investment, and uncertainties, Omega, (2012), in press.
• [6] Jayaraman V., Guide V.D.R., Srivastava R., A closed-loop logistics model for use within a recoverable manufacturing environment, J. Oper. Res. Soc. 50(1999), No. 5, 497-509.
• [7] Toktay B., Wein L., Stefanos Z., Inventory management of remanufacturable products, Manag. Sci, 46(2000), No.11, 1412-1426.
• [8] Jacobs B.W., Subramanian R., Sharing responsibility for product recovery across the supply chain, Prod Oper Manag. 21(2012), No. 1, 85-100.
• [9] Savaskan R.C., Bhattacharya S., Van Wassenhove L.N., Closed-Loop supply chain models with product remanufacturing, Manage. Sci. 50(2004), No. 2, 239-252.
• [10] Savaskan R.C., Van Wassenhove L.N., Reverse channel design: the case of competing retailers, Manag. Sci. 52(2006), No.1, 1-14.
• [11] Van D., Laan E.A., Salomon M., Production planning and inventory control with remanufacturing and disposal, Eur. J. Oper. Res. 102(1997), No. 2, 264-278.
• [12] Kiesmuller G.P., Optimal control of a product recovery system with lead time, Int. J. Prod. Econ. 81-82(2003), No. 11, 333-340.
• [13] Nakashima K., Arimitsu H., Nose T., Kuriyama S., Optimal control of a remanufacturing system, Int. J. Prod. Res. 42(2004), No. 7, 3619-3615.
• [14] Kiesmuller G.P., Minner S., Kleber R., Manageing dynamic product recovery: an optimal control perspective, in: Quantitative models for closed-loop supply chains, Edited Dekker R., Fleischmann M., Inderfurth K, Van Wassenhove L., Springer, New York (2004), 221-247.
• [15] Huang X.Y., Yan N.N., Qiu R.Z., Dynamic models of closedloop supply chain and robust H∞ control strategies, Int. J. Prod. Res. 47(2009), No. 9, 2279-2300.
• [16] Huang X.Y., Yan N.N., Guo H.F., A H∞ control method of the bullwhip effect for a class of supply chain systems , Int. J. Prod. Res. 45(2007), No. 2, 207-226.
• [17] Kim J.H., Park H.B., H∞ state feedback control for generalized continuous/discrete time-delay system, Automatica, 35(1999), No. 5, 1443-1451.