Dynamic supply chain scheduling

Agnetis, A., Hall, N. G., & Pacciarelli, D. (2006). Supply chain scheduling: Sequence coordination. Discrete Applied Mathematics, 154, 2044–2063.

Aytug, H., Lawley, M. A., McKay, K., Mohan, S., & Uzsoy, R. (2005). Executing production schedules in the face of uncertainties: a review and some future directions. European Journal of Operational Research, 161(1), 86–100.

Bryson, A. E., & Ho, Y.-C. (1975). Applied optimal control. Washington: Hemisphere.

Chandra, C., & Grabis, J. (2007). Supply chain configuration. New York: Springer.

Chauhan, S. S., Gordon, V., & Proth, J.-M. (2007). Scheduling in supply chain environment. European Journal of Operational Research, 183(3), 961–970.

Chen, Z. L., & Pundoor, G. (2006). Order assignment and scheduling in a supply chain. Operations Research, 54(3), 555–572.

Chernousko, F. L., & Zak, V. L. (1985). On differential games of evasion from many pursuers. Journal of Optimal Theory Applications, 46(4), 461–470.

Daganzo, C. F. (2004). On the stability of supply chains. Operations Research, 52(6), 909–921.

Disney, S. M., Towill, D. R., & Warburton, R. D. H. (2006). On the equivalence of control theoretic, differential, and difference equation approaches to modeling supply chains. International Journal of Production Economics, 101, 194–208.

Dolgui, A., & Proth, J. M. (2010). Supply chains engineering: useful methods and techniques. Berlin: Springer.

Dorfman, R. (1969). An economic interpretation of optimal control theory. American Economic Review, 59, 817–831.

Fang, J., & Xi, Y. (1997). A rolling horizon job shop rescheduling strategy in the dynamic environment. The International Journal of Advanced Manufacturing Technology, 13, 227–232.

Feichtinger, G., & Hartl, R. (1985). Optimal pricing and production in an inventory model. European Journal of Operational Research, 19, 45–56.

Fleming, W. H., & Rishel, R. W. (1975). Deterministic and stochastic optimal control. Berlin: Springer.

Gaimon, C. (1988). Simultaneous and dynamic price, production, inventory and capacity decisions. European Journal of Operational Research, 35, 426–441.

Gershwin, S. B. (1994). Manufacturing systems engineering. Englewood Cliffs: PTR Prentice-Hall.

Gubarev, V. A., Zakharov, V. V., & Kovalenko, A. N. (1988). Introduction to systems analysis. Leningrad: LGU.

Hwang, C. L., Fan, L. T., Tillman, F. A., & Sharma, R. (1969). Optimal production planning and inventory control. International Journal of Production Research, 8(1), 75–83.

Ivanov, D. (2009). DIMA—a research methodology for comprehensive multi-disciplinary modelling of production and logistics networks. International Journal of Production Research, 47(5), 1133–1155.

Ivanov, D. (2010). Adaptive aligning of planning decisions on supply chain strategy, design, tactics, and operations. International Journal of Production Research, 48(13), 3999–4017.

Ivanov, D., & Sokolov, B. (2010). Adaptive supply chain management. Berlin: Springer.

Ivanov, D., Arkhipov, A., & Sokolov, B. (2007). Intelligent planning and control of manufacturing supply chains in virtual enterprises. International Journal of Manufacturing Technology and Management, 11(2), 209–227.

Ivanov, D., Sokolov, B., & Kaeschel, J. (2010). A multi-structural framework for adaptive supply chain planning and operations with structure dynamics considerations. European Journal of Operational Research, 200(2), 409–420.

Kalinin, V. N., & Sokolov, B. V. (1985). Optimal planning of the process of interaction of moving operating objects. International Journal of Difference Equations, 21(5), 502–506.

Kalinin, V. N., & Sokolov, B. V. (1987). A dynamic model and an optimal scheduling algorithm for activities with bans of interrupts. Automation and Remote Control, 48(1–2), 88–94.

Khmelnitsky, E., Kogan, K., & Maimom, O. (1997). Maximum principle-based methods for production scheduling with partially sequence-dependent setups. International Journal of Production Research, 35(10), 2701–2712.

Kimemia, J. G., & Gershwin, T. I. (1983). An algorithm for the computer control of a flexible manufacturing system. IIE Transactions, 15, 353–362.

Kogan, K., & Khmelnitsky, E. (2000). Scheduling: control-based theory and polynomial-time algorithms. Dordrecht: Kluwer Academic.

Kreipl, S., & Pinedo, M. (2004). Planning and scheduling in supply chains: an overview of issues in practice. Production and Operations Management, 13(1), 77–92.

Kuehnle, H. (2008). A system of models contribution to production network (PN) theory. Journal of Intelligent Manufacturing, 18(5), 543–551.

Lalwani, C. S., Disney, S., & Towill, D. R. (2006). Controllable, observable and stable state space representations of a generalized order-up-to policy. International Journal of Production Economics, 101, 172–184.

Lee, E. B., & Markus, L. (1967). Foundations of optimal control theory. New York: Wiley.

Lloret, J., Garcia-Sabater, J. P., & Marin-Garcia, J. A. (2009). Cooperative supply chain re-scheduling: the case of an engine supply chain. In Cooperative design, visualization, and engineering (pp. 376–383). Berlin/Heidelberg: Springer.

Mulani, N. P., & Lee, H. L. (2002). New business models for supply chain excellence. In N. Mulani (Ed.), Achieving supply chain excellence through technology. (Vol. 4). San Francisco: Montgomery Research.

Moiseev, N. N. (1974). Element of the optimal systems theory. Moscow: Nauka (in Russian).

Moon, C., Lee, Y. H., Jeong, C. S., & Yun, Y. S. (2008). Integrated process planning and scheduling in a supply chain. Computers & Industrial Engineering, 54(4), 1048–1061.

Okhtilev, M., Sokolov, B., & Yusupov, R. (2006). Intelligent technologies of complex systems monitoring and structure dynamics control. Moscow: Nauka (in Russian).

Pinedo, M. (2008). Scheduling: theory, algorithms, and systems. New York: Springer.

Pfund, M. E., Balasubramanian, H., Fowler, J. W., Mason, J. S., & Rose, O. (2008). A multi-criteria approach for scheduling semiconductor wafer fabrication facilities. Journal of Scheduling, 11(1), 29–47.

Poirier, C. C. (2003). Using models to improve the supply chain. London: Routledge.

Pontryagin, L. S., Boltyanskiy, V. G., Gamkrelidze, R. V., & Mishchenko, E. F. (1964). The mathematical theory of optimal processes. Pergamon Press: Oxford.

Pontryagin, L. S., Boltyanskiy, V. G., Gamkrelidze, R. V., & Mishchenko, E. F. (1983). The mathematical theory of optimal processes. Moscow: Nauka (in Russian).

Potts, C. N., & Whitehead, J. D. (2007). Heuristics for a coupled-operation scheduling problem. Journal of the Operational Research Society, 58, 1375–1388.

Proth, J. M. (2006). Scheduling: new trends in industrial environment. In A. Dolgui et al. (Eds.), Information control problems in manufacturing (pp. 41–47). Amsterdam: Elsevier.

Puigjaner, L., & Lainez, J. M. (2008). Capturing dynamics in integrated supply chain management. Computers and Chemical Engineering, 32, 2582–2605.

Sarker, R., Bhaba, R., & Diponegoro, A. (2009). Optimal production plans and shipment schedules in a supply-chain system with multiple suppliers and multiple buyers. European Journal of Operation Research, 194(3), 753–773.

Sethi, S. P., & Thompson, G. L. (2006). Optimal control theory: applications to management science and economics (2nd ed.). Berlin: Springer.

Shao, X., Li, X., Gao, L., & Zhang, C. (2009). Integration of process planning and scheduling. A modified genetic algorithm-based approach. Computers in Industry, 36(6), 2082–2096.

Simchi-Levi, D., Wu, S. D., & Zuo-Yun, S. (2004). Handbook of quantitative supply chain analysis. New York: Springer.

Skurikhin, V. I., Zabrodsky, V. A., & Kopeychenko, Y. V. (1989). Adaptive control systems in machinery industry. Moscow: Mashinostroenie (in Russian).

Sokolov, B., & Yusupov, R. (2004). Conceptual foundations of quality estimation and analysis for models and multi-model systems. Journal of Computer and Systems Science International, 6, 5–16.

Son, Y.-J., & Venkateswaran, J. (2007). Hierarchical supply chain planning architecture for integrated analysis of stability and performance. International Journal of Simulation and Process Modelling, 3(3), 153–169.

Tabak, D., & Kuo, B. C. (1971). Optimal control by mathematical programming. New York: Prentice Hall.

Van de Vonder, S., Demeulemeester, E., & Herroelen, W. (2007). A classification of predictive-reactive project scheduling procedures. Journal of Scheduling, 10(3), 195–207.

Van Houtum, G. Y., Scheller-Wolf, A., & Yi, Y. (2007). Optimal control of serial inventory systems with fixed replenishment intervals. Operations Research, 55(4), 674–687.

Vieira, G. E., Herrmann, J. W., & Lin, E. (2003). Rescheduling manufacturing systems: a framework of strategies, policies, and methods. Journal of Scheduling, 6(1), 35–58.