An integrated and intelligent DSS for manufacturing systems

Dursun Delen; David B. Pratt

doi:10.1016/j.eswa.2005.07.017

An integrated and intelligent DSS for manufacturing systems

Dursun Delen, David B. Pratt

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

43 Scopus citations

Abstract

There is no room for error in making managerial decisions in today's global business environment marked by mergers, acquisitions, and increasing economic instability. In order to succeed in this ever so demanding, fast pace business environment, managers need integrated and intelligent information systems capable of supporting them throughout the decision-making lifecycle, which starts with structuring a problem from a given set of symptoms and ends with providing the information needed to make the decision. In this manuscript, we report on a collaborative research effort whose aim has been to fill this need by developing novel concepts and to demonstrate the viability of these concepts within an advanced modeling environment.

Original language	English
Pages (from-to)	325-336
Number of pages	12
Journal	Expert Systems with Applications
Volume	30
Issue number	2
DOIs	https://doi.org/10.1016/j.eswa.2005.07.017
State	Published - 1 Feb 2006
Externally published	Yes

Keywords

Automated tool selection
Base model
Expert systems
Intelligent decision support
Manufacturing systems modeling
Structured problem

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10.1016/j.eswa.2005.07.017

Cite this

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title = "An integrated and intelligent DSS for manufacturing systems",

abstract = "There is no room for error in making managerial decisions in today's global business environment marked by mergers, acquisitions, and increasing economic instability. In order to succeed in this ever so demanding, fast pace business environment, managers need integrated and intelligent information systems capable of supporting them throughout the decision-making lifecycle, which starts with structuring a problem from a given set of symptoms and ends with providing the information needed to make the decision. In this manuscript, we report on a collaborative research effort whose aim has been to fill this need by developing novel concepts and to demonstrate the viability of these concepts within an advanced modeling environment.",

keywords = "Automated tool selection, Base model, Expert systems, Intelligent decision support, Manufacturing systems modeling, Structured problem",

author = "Dursun Delen and Pratt, {David B.}",

note = "Funding Information: This research project has been funded by the National Science Foundation (Grant No. DMI-9400572), AT&T Foundation, and Oklahoma Center for Advancement of Science and Technology (OCAST). We are grateful to these funding agencies. We also thank the faculty and the graduate research assistants who have contributed to this project for the last 13 years. ",

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AB - There is no room for error in making managerial decisions in today's global business environment marked by mergers, acquisitions, and increasing economic instability. In order to succeed in this ever so demanding, fast pace business environment, managers need integrated and intelligent information systems capable of supporting them throughout the decision-making lifecycle, which starts with structuring a problem from a given set of symptoms and ends with providing the information needed to make the decision. In this manuscript, we report on a collaborative research effort whose aim has been to fill this need by developing novel concepts and to demonstrate the viability of these concepts within an advanced modeling environment.

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KW - Expert systems

KW - Intelligent decision support

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KW - Structured problem

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An integrated and intelligent DSS for manufacturing systems

Abstract

Keywords

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