Evaluation and Optimization of Strongly Ideal Assemble-to-Order Systems

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.

[1]  Marc Goovaerts,et al.  Recursive calculation of finite-time ruin probabilities , 1988 .

[2]  de Ag Ton Kok,et al.  Ruin probabilities with compounding assets for discrete time finite horizon problems, independent period claim sizes and general premium structure , 2003 .

[3]  Morris A. Cohen,et al.  Optimal material control in an assembly system with component commonality , 2001 .

[4]  Hau L. Lee,et al.  Joint demand fulfillment probability in a multi-item inventory system with independent order-up-to policies , 1998, Eur. J. Oper. Res..

[5]  David F. Pyke,et al.  Inventory management and production planning and scheduling , 1998 .

[6]  Ag Ton de Kok,et al.  Analysis of assembly systems with service level constraints , 1999 .

[7]  Susan H. Xu,et al.  Joint Inventory Replenishment and Component Allocation Optimization in an Assemble-to-Order System , 2004, Manag. Sci..

[8]  Leroy B. Schwarz,et al.  Multi-level production/inventory control systems : theory and practice , 1981 .

[9]  Paul Glasserman,et al.  Leadtime-Inventory Trade-Offs in Assemble-to-Order Systems , 1998, Oper. Res..

[10]  Kaj Rosling,et al.  Optimal Inventory Policies for Assembly Systems Under Random Demands , 1989, Oper. Res..

[11]  Howard R. Waters,et al.  Recursive Calculation of Survival Probabilities , 1991, ASTIN Bulletin.

[12]  Eb Erik Diks,et al.  Computational results for the control of a divergent N-echelon inventory system , 1999 .

[13]  Ton G. de Kok,et al.  Optimal control of a divergent multi-echelon inventory system , 1998, Eur. J. Oper. Res..

[14]  S. Hoekstra,et al.  Integral Logistic Structures: Developing Customer-Oriented Goods Flow , 1992 .

[15]  M. Heijden.  Supply rationing in multi-echelon divergent systems , 1997 .

[16]  William H. Press,et al.  Numerical recipes in C , 2002 .

[17]  W. D. Ray,et al.  Stochastic Models: An Algorithmic Approach , 1995 .

[18]  Jing-Sheng Song.  On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System , 1998, Oper. Res..

[19]  William H. Press,et al.  Numerical Recipes in C, 2nd Edition , 1992 .

[20]  E. B. Diks,et al.  Optimal control of a divergent N-echelon inventory system , 1996 .

[21]  Linus Schrage,et al.  “Centralized Ordering Policies in a Multi-Warehouse System with Lead Times and Random Demand” , 2004 .