Enhancing mathematical programming models to account for demand priorities increasing as a function of delivery date

R. John Milne; Chi Tai Wang

doi:10.1080/21681015.2014.881426

Enhancing mathematical programming models to account for demand priorities increasing as a function of delivery date

R. John Milne, Chi Tai Wang

Graduate Institute of Industrial Management

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

3 Scopus citations

Abstract

Linear and mixed integer programs are frequently used to allocate resources to support a prioritized statement of demands or needs. This paper describes how to enhance these mathematical programming formulations to reflect the dynamic relative importance of demands, namely the priorities of demands - relative to other objectives - increasing as a function of the time of demand fulfillment. We illustrate the modeling using data from a light-emitting diode manufacturer from Taiwan.

Original language	English
Pages (from-to)	51-63
Number of pages	13
Journal	Journal of Industrial and Production Engineering
Volume	31
Issue number	1
DOIs	https://doi.org/10.1080/21681015.2014.881426
State	Published - 2014

Keywords

Customer request date
Delivery date
Demand priorities
Mathematical programming
Resource allocation

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10.1080/21681015.2014.881426

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abstract = "Linear and mixed integer programs are frequently used to allocate resources to support a prioritized statement of demands or needs. This paper describes how to enhance these mathematical programming formulations to reflect the dynamic relative importance of demands, namely the priorities of demands - relative to other objectives - increasing as a function of the time of demand fulfillment. We illustrate the modeling using data from a light-emitting diode manufacturer from Taiwan.",

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KW - Resource allocation

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Enhancing mathematical programming models to account for demand priorities increasing as a function of delivery date

Abstract

Keywords

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