The IBM advanced planning system for managing next generation demand-supply networks

Chi Tai Wang; Kenneth Fordyce; R. John Milne; Robert Orzell

doi:10.1504/IJISM.2008.016072

The IBM advanced planning system for managing next generation demand-supply networks

Chi Tai Wang, Kenneth Fordyce, R. John Milne, Robert Orzell

Graduate Institute of Industrial Management

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

IBM formed a team in the mid 1990s to develop a next generation demand-supply matching system. Using advanced heuristic algorithms and Linear Programming (LP), this team built a comprehensive system comprising solutions covering the complete spectrum of Supply Chain Planning (SCP). This system's cutting edge innovations and tremendous business impact have generated dozens of intellectual properties and earned major awards in operations research achievement for IBM. Since 2005, this system has also become a daily solver at Analog Devices, Inc. IBM's system fully supports a long term, incremental deployment of advanced SCP functions whenever needed with minimum effort required.

Original language	English
Pages (from-to)	125-140
Number of pages	16
Journal	International Journal of Integrated Supply Management
Volume	4
Issue number	1
DOIs	https://doi.org/10.1504/IJISM.2008.016072
State	Published - 2008

Keywords

Bills of materials
BOM
Heuristic algorithms
Linear programming
LP
SCP
Supply chain planning

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10.1504/IJISM.2008.016072

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The IBM advanced planning system for managing next generation demand-supply networks

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Keywords

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