Large inventory-service optimization in configure-to-order...

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Inventory management

Reexamination Certificate

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C705S022000

Reexamination Certificate

active

06970841

ABSTRACT:
A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.

REFERENCES:
patent: 5237495 (1993-08-01), Morii
patent: 5287267 (1994-02-01), Jayaraman et al.
patent: 5515269 (1996-05-01), Willis et al.
patent: 5963919 (1999-10-01), Brinkley et al.
patent: 6078850 (2000-06-01), Kane et al.
patent: 6151582 (2000-11-01), Huang et al.
patent: 6321132 (2001-11-01), Dawande et al.
patent: 6377953 (2002-04-01), Gawlick et al.
patent: 6516301 (2003-02-01), Aykin
patent: 6611726 (2003-08-01), Crosswhite
patent: 6816839 (2004-11-01), Gung et al.
patent: 2004227269 (2004-08-01), None
J.M. Swaminathan et al., “Stochastic Programming Models for Managing Product Variety”, inQuantitative Models for Supply Chain Management, S. Tayur, R. Ganeshan and M. Magazine (eds.), Kluwer Academic Publishers, Norwell, 1999, pp. 585-624.
Y. Aviv et al., “The Benefits of Design for Postponement”, inQuantitative Models for Supply Chain Managment, S. Tayur, R. Ganeshan and M. Magazine (eds.), Kluwer Academic Publishers, Norwell, 1999, pp. 553-584.
A. Garg, et al., “Managing Product Variety: An Opertaions Perspective”, inQuantitative Models for Supply Chain Management, S. Tayur, R. Ganeshan and M. Magazine (eds.), Kluwer Academic Publishers, Norwell, 1999, pp. 467-490.
L. Li, “The Role of Inventory in Delivery-Time Competition”, Management Science, 38 (1992), 182-197.
S. Mahajan et al., “Retail Inventories and Consumer Choice”, inQuantitative Models for Supply Chain Management, S. Tayur, R. Ganeshan and M. Magazine (eds.), Kluwer Academic Publishers, Norwell, 1999, pp. 491-552.
J. Song, et al, “Order-Fulfillment Performance Measures in an Assemble-to-Order System with Stochastic Leadtimes”, Operations Research, vol. 47, No. 1, Jan.-Feb. 1999, pp. 131-149.
P. Glasserman, “Leadtime-Inventory Trade-Offs in Assembnle-to-Order Systems”, Operations Research, vol. 46, No. 6, Nov.-Dec. 1998, pp. 858-871.
J. Song, “On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System”, Operations Research, vol. 46, No. 6, Nov.-Dec. 1998, pp. 831-845.
D. Connors, et al., “Methods for Configuration in Semiconductor Manufacturing”, IEEE Transactions on Semiconductor Manufacturing, vol. 9, No. 3, Aug. 1996.
S. Ross, “Stochastic Processes”, Sheldon M. Ross, 2nded., 1996.

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