Abstract
The contribution of John Buzacott to the Operations Management field cannot be overstated. Grounded in Industrial Engineering his work can be characterized by both practical relevance and mathematical rigor. The practical relevance posed to him extremely challenging mathematical and computational problems. Together with his PhDs and colleagues he has taken up these challenges and made breakthrough contributions to the analysis and design of manufacturing systems. The control concepts he developed for manufacturing systems turn out to have a much wider area of application, in particular to supply chain planning and control.
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References
AGRAWAL, N., AND COHEN, M., Optimal Material Control in an Assembly System with Component Commonality. Naval Research Logistics, 48 (2001), 408–429.
AKçAY, Y. AND XU, S.H., Joint Inventory Replenishment and Component Allocation Optimization in an Assemble-to-Order System. Working paper, Penn State University, (2001).
DE KOK, A.G., Ruin Probabilities with Compounding Assets for Discrete Time Finite Horizon Problems, Independent Period Claim Sizes and General Premium Structure. BETA Working Paper 82. Eindhoven: Technische Universiteit Eindhoven, (2002).
DE KOK, A.G. AND VISSCHERS, J.W.C.H., Analysis of Assembly Systems with Service Level Constraints. International Journal of Production Economics, 59 (1999), 313–326.
DE VYLDER, F. AND GOOVAERTS, M.J., Recursive calculation of survival probabilities. Insurance: Mathematics and Economics, 7 (1988), 1–8.
DIKS, E.B. AND DE KOK, A.G., Optimal Control of a Divergent N-echelon Inventory System. European Journal of Operational Research, 111 (1998), 75–97.
DIKS, E.B. AND DE KOK, A.G., Computational Results for the Control of a Divergent N-echelon Inventory System. International Journal of Production Economics, 59 (1999), 327–336.
EPPEN, G. D., AND SCHRAGE L., Centralized Ordering Policies in a Multi-Warehouse System with Leadtimes and Random Demand, in: Multi-Level Production/Inventory Control Systems: Theory and Practice, L. B. Schwarz. Ed., North Holland Amsterdam, 51–69, 1981.
GLASSERMAN, P. AND WANG, Y., Leadtime-inventory trade-offs in assemble-to-order systems. Operations Research, 46 (1998), 858–871.
HAUSMAN, W.H., LEE, H.L. AND ZHANG, A.X., Order response time reliability in multi-item inventory systems, European Journal of Operational Research, 109 (1998), 646–659.
HOEKSTRA, S. AND ROMME, J.H.J.M., (EDS.) Integral logistic structures: developing customer-oriented goods flow, McGraw Hill, London, 1991.
PRESS, W.H., TEUKOLSKY, S.A., VETTERING, W.T. AND FLANNERY, B. P., Numerical Recipes in C. 2nd edition, Cambridge University Press, New York, 1994.
ROSLING, K., Optimal Inventory Policies for Assembly Systems Under Random Demands, Operations Research, 37 (1989), 565–579.
SILVER, E.A., PYKE, D.F. AND PETERSON, R., Inventory Management and Production Planning and Scheduling, Wiley, New York, 1998.
SONG, J.S., On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System. Operations Research, 46 (1998), 831–845.
TIJMS, H.C., Stochastic models: an algorithmic approach, Wiley, Chichester, 1994.
VAN DER HEIJDEN, M.C., Supply rationing in multi-echelon divergent systems. European Journal of Operational Research, 101 (1997), 532–549.
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de Kok, T.G. (2003). Evaluation and Optimization of Strongly Ideal Assemble-to-Order Systems. In: Shanthikumar, J.G., Yao, D.D., Zijm, W.H.M. (eds) Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains. International Series in Operations Research & Management Science, vol 63. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0373-6_9
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DOI: https://doi.org/10.1007/978-1-4615-0373-6_9
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