Inventory control for the supply chain: An adaptive control approach based on the identification of the lead-time

Omega

Volumn 40, Issue 3, 2012, Pages 314-327

  Garcia, C A ^a   Ibeas, A ^a   Herrera, J ^a   Vilanova, R ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

Adaptive control; Inventory control; Supply chain

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; DISTURBANCE REJECTION; INVENTORY CONTROL; MODEL PREDICTIVE CONTROL;

ADAPTIVE CONTROL; CONTROL APPROACH; CONTROL SCHEMES; INTERNAL MODEL CONTROL; INVENTORY TRACKING; INVENTORY-CONTROL SYSTEMS; LEADTIME; LOAD DISTURBANCE REJECTION; PRODUCTION-INVENTORY CONTROL; REJECTION CONTROLS;

SUPPLY CHAINS;

EID: 80052025507     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2011.07.003     Document Type: Article

References (32)

1. Dejonckheere J., Disney S., Lambrecht M., Towill D. Measuring and avoiding the bullwhip effect: a control theoretic approach. European Journal of Operating Research 2002, 147(1):567-590.
2. Dejonckheere J., Disney S., Lambrecht M., Towill D. The impact of information enrichment on the bullwhip effect in supply chains: a control engineering perspectiva. European Journal of Operating Research 2004, 153(2):727-750.
3. Lin P., Wong D.S.-H., Jang S., Shieh S., Chu J. Controller design and reduction of bullwhip for a model supply chain system using z-transform analysis. Journal of Process Control 2004, 14:487-499.
4. Faanes A., Skogestad S. Controller design for serial processes. Journal of process control 2005, 15(2):259-271.
5. Amini M., Li H. Supply chain configuration for diffusion of new products: an integrated optimization approach. Omega: The International Journal of Management Science 2011, 39:313-322.
6. Hoberg K., Bradley J.R., Thonemann U.W. Analyzing the effect of the inventory policy on order and inventory variability with linear control theory. European Journal of Operational Research 2007, 176(3):1620-1642.
7. Disney S., Towill D. On the bullwhip and inventory variance produced by an ordering policy. Omega: The International Journal of Management Science 2003, 31(2):157-167.
8. Balan S., Vratb P., Kumarc P. Information distortion in a supply chain and its mitigation using soft computing approach. Omega: The International Journal of Management Science 2009, 37(2):282-299.
9. Tang D. Managing finished-goods inventory under capacitated delayed differentiation. Omega: The International Journal of Management Science 2011, 39:481-492.
10. Silver E.A., Bischak D.P. The exact fill rate in a periodic review base stock system under normally distributed demand. Omega: The International Journal of Management Science 2011, 39:481-492.
11. Aggelogiannaki E., Sarimveis H. Design of a novel adaptive inventory control system based on the online identification of lead time. International Journal of Production Economics 2007, 176(4):162-172.
12. Schwartz D., Wang W., Rivera D. Simulation-based optimization of process control policies for inventory management in supply chains. Automatica 2006, 125(2):1311-1320.
13. Schwartz D., Rivera D. A process control approach to tactical inventory management in production-inventory systems. International Journal of Production Economics 2010, 125(2):111-124.
14. Normey-Rico J.E., Camacho E.F. Control of dead-time processes 2005, Springer.
15. Alcantara S, Pedret C, Ibeas A, Vilanova R. General smith predictors from an observer-controller perspective. In: Proceedings of the 18th IEEE ICCA; 2009.
16. Bernstein X.M.R., Rad A.B. Identification of nonlinear systems with unknown time delay based on time-delay neural networks. IEEE Transactions on Neural Networks 2007, 8(5):1536-1541.
17. Mirkin B., Gutman P. Adaptive output-feedback tracking: the case of mimo plants with unknown, time-varying state delay. System & Control Letters 2009, 58:62-68.
18. Chen B., Liu X., Liu C. Novel adaptive neural control design for nonlinear mimo time-delay systems. Automatica 2009, 45:1554-1560.
19. Ge S.S., Hong F., T H.L. Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. IEEE Transactions on Systems, Man, and Cybernetics, Part B 2004, 34(1):499-516.
20. Zhang T.P., Ge S.S. Adaptive control of systems with mismatched non-linearities and time-varying delays using state measurements. IET Control Theory and Applications 2010, 4(1):26-27.
21. Ibeas A., Vilanova R., Balager P. Multiple-model based intelligent control techniques for LTI systems with unknown external delays. Part i: known rational component. International Journal of Innovative Computing, Information and Control 2008, 4:839-848.
22. Ibeas A., Vilanova R., Balager P., de la Sen M. Multiple-model based intelligent control techniques for LTI systems with unknown external delays. Part ii: unknown rational component. International Journal of Innovative Computing, Information and Control 2008, 4:1251-1266.
23. Herrera J., Ibeas A., Alcantara S., M d.l.S. Multimodel-based techniques for the identification and adaptive control of delayed mimo systems. IET Control Theory and Applications 2011, 5:188-202.
24. Sriver T.A., Chrissis J.W., Abramson M.A. Pattern search ranking and selection algorithms for mixed variable simulation-based optimization. European Journal of Operational Research 2009, 198:878-890.
25. Ogata K. Discrete time control systems 1996, Prentice-Hall International.
26. Dennis S.B. Matrix mathematics 2005, vol. 4. Princeton University Press, p. 1251-66.
27. Tan W., Marquez H.J., Chen T. IMC design for unstable processes with time delays. Journal of Process Control 2003, 31(2):157-167.
28. Morari M., Zafiriou E. Robust process control 1989, Prentice-Hall International.
29. Faanes A., Skogestad S. Inventory model with stochastic lead-time and price dependent demand incorporating advance payment. Applied Mathematical Modelling 2008, 33(2):2433-2443.
30. Ibeas A., de la Sen M., Alonso-Quesada S. Stable multi-estimation model for single-input single-output discrete adaptive control systems. International Journal of Systems Science 2004, 4:479-501.
31. Ouyang Y., Li X. The bullwhip effect in supply chain networks. European Journal of Operational Research 2010, 201:799-810.
32. Georgiadis M.C., Tsiakis P., Longinidis P., Sofioglou M. Optimal design of supply chain networks under uncertain transient demand variations. Omega: The International Journal of Management Science 2010, 201:799-810.