An optimization-based decision support system for strategic planning in a process industry: The case of a pharmaceutical company in India

Goutam Dutta; Robert Fourer; Akhilesh Majumdar; Debabrata Dutta

doi:10.1016/j.ijpe.2006.04.011

An optimization-based decision support system for strategic planning in a process industry: The case of a pharmaceutical company in India

Goutam Dutta^*, Robert Fourer, Akhilesh Majumdar, Debabrata Dutta

^*Corresponding author for this work

Industrial Engineering and Management Sciences

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

17 Scopus citations

Abstract

We describe how a generic multi-period optimization-based decision support system (DSS) can be used for strategic planning in process industries. Built on five fundamental elements - materials, facilities, activities, storage areas and time periods - this DSS requires little direct knowledge of optimization techniques to be used effectively. It is user friendly and requires little knowledge of optimization. Results based on real data from a pharmaceuticals company in India demonstrate significant potential for improvements in revenues and profits.

Original language	English (US)
Pages (from-to)	92-103
Number of pages	12
Journal	International Journal of Production Economics
Volume	106
Issue number	1
DOIs	https://doi.org/10.1016/j.ijpe.2006.04.011
State	Published - Mar 2007

Keywords

Decision support systems
Manufacturing
Optimization
Pharmaceuticals
Process industries

ASJC Scopus subject areas

Business, Management and Accounting(all)
Economics and Econometrics
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1016/j.ijpe.2006.04.011

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abstract = "We describe how a generic multi-period optimization-based decision support system (DSS) can be used for strategic planning in process industries. Built on five fundamental elements - materials, facilities, activities, storage areas and time periods - this DSS requires little direct knowledge of optimization techniques to be used effectively. It is user friendly and requires little knowledge of optimization. Results based on real data from a pharmaceuticals company in India demonstrate significant potential for improvements in revenues and profits.",

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AU - Dutta, Debabrata

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AB - We describe how a generic multi-period optimization-based decision support system (DSS) can be used for strategic planning in process industries. Built on five fundamental elements - materials, facilities, activities, storage areas and time periods - this DSS requires little direct knowledge of optimization techniques to be used effectively. It is user friendly and requires little knowledge of optimization. Results based on real data from a pharmaceuticals company in India demonstrate significant potential for improvements in revenues and profits.

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An optimization-based decision support system for strategic planning in a process industry: The case of a pharmaceutical company in India

Abstract

Keywords

ASJC Scopus subject areas

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