Supply network engineering: An approach to robust capacity allocation for stochastic production processes

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 44, Issue 1 PART 1, 2011, Pages 441-446

  Schönlein, Michael ^a   Makuschewitz, Thomas ^b   Wirth, Fabian ^a   Scholz Reiter, Bernd ^b  

^a UNIVERSITY OF WÜRZBURG   (Germany)

^b UNIVERSITY OF BREMEN   (Germany)

Author keywords

Capacity management; Integrated logistics; Supply network stability

Indexed keywords

CUSTOMER SATISFACTION; STOCHASTIC SYSTEMS;

CAPACITY ALLOCATION; CAPACITY MANAGEMENT; INTEGRATED LOGISTICS; MULTI-CLASS QUEUEING NETWORKS; OPTIMIZATION PROBLEMS; PRODUCTION CAPACITY; STOCHASTIC PRODUCTION; SUPPLY NETWORKS;

QUEUEING NETWORKS;

EID: 84866754798     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20110828-6-IT-1002.02122     Document Type: Conference Paper

References (17)

1. Borwein, J. and Lewis, A. (2006). Convex analysis and nonlinear optimization: theory and examples. Springer.
2. Bramson, M. (2008). Stability of queueing networks. Springer.
3. Bramson, M. and Dai, J. (2001). Heavy traffic limits for some queueing networks. Ann. Appl. Probab., 11(1), 49-90.
4. Dai, J. (1995). On positive Harris recurrence of multiclass queueing networks: A unified approach via fluid limit models. Ann. Appl. Probab., 5(1), 49-77.
5. Fleischmann, B., Meyr, H., andWagner, M. (2004). Supply Chain Management and Advanced Planning. Springer.
6. Helfrich, O. and Cook, R. (2002). Securing the Supply Chain. Council of Logistics Management (CLM).
7. Hinrichsen, D. and Pritchard, A.J. (2005). Mathematical systems theory. I. Modelling, state space analysis, stability and robustness. Springer.
8. Klibi, W., Martel, A., and Guitouni, A. (2010). The design of robust value-creating supply chain networks: A critical review. European Journal of Operational Research, 203, 283-293.
9. Kumar, P. and Seidman, T.I. (1990). Dynamic instabilities and stabilization methods in distributed realtime scheduling of manufacturing systems. IEEE Trans. Autom. Control, 35(3), 289-298.
10. Landeghem, H. and van Vanmaele, H. (2002). Robust planning: a new paradigm for demand chain planning. Journal of Operations Management, 20, 769-783.
11. Mulvey, J., Vanderbei, R., and Zenios, S. (1995). Robust optimization of large-scale systems. Operations Reserach, 43, 264-281.
12. Pan, F. and Nagi, R. (2010). Robust supply chain design under uncertain demand in agile manufacturing. Computers and Operations Research, 37, 668-683.
13. Rockafellar, R. (1970). Convex analysis. Princeton Univ. Press.
14. Rohde, J., Meyr, H., and Wagner, M. (2000). Die supply chain planning matrix. PPS-Management, 1, 10-15.
15. Scholl, A. (2001). Robuste Planung und Optimierung - Grundlagen - Konzepte und Methoden - Experimentelle Untersuchungen. Physica, Heidelberg.
16. Scholz-Reiter, B., Wirth, F., Dashkovskiy, S., Schönlein, M., Makuschewitz, T., and Kosmykov, M. (2010). Some remarks on stability and robustness of production networks based on fluid models. In H. Kreowski, B. Scholz-Reiter, and K. Thoben (eds.), Dynamics in Logistics, 27-36. Springer.
17. Ye, H.Q. and Chen, H. (2001). Lyapunov method for the stability of fluid networks. Oper. Res. Lett., 28(3), 125-136.