Elsevier

Information & Management

Volume 13, Issue 3, October 1987, Pages 125-133
Information & Management

Research
Logic-based decision support for computer capacity planning

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Abstract

This paper reports on a decision support system for computer capacity planning. The system is currently under development for Sandia National Laboratories to support planning in an environment characterized by large scale scientific as well as more traditional administrative computing needs, governmental budgetary limitations, and specific planning documentation required by the funding source. The implementation vehicle for this system is an extended version of Prolog which allows interactions with externally defined computational routines and sources of data. This provides for the integration of various data sources with a set of models for estimating capacity requirements and optimizing different objective functions subject to budgetary constraints. This paper outlines the decision environment, pointing out the benefits of using a DSS to support management in forecasting user requirements and optimizing their supercomputer acquisitions, subject to cost, time, financial options and user needs.

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Cited by (2)

  • An overview of production planning

    1993, Handbooks in Operations Research and Management Science

  • Decision support systems applications research: A bibliography (1971-1988)

    1990, European Journal of Operational Research
1

Stephen D. Burd is Assistant Professor of Management Information Systems at the Anderson Schools of Management, University of New Mexico. He earned his Ph.D. in management from Purdue University in 1983. He is a Certified Public Accountant (licensed in Maryland).

His current research interests are the application of artificial intelligence techniques to the design and implementation of decision support systems and accounting information systems. Other research and teaching interests include database management systems, natural language processing, systems analysis and design, and auditing.

2

Suleiman K. Kassicieh is Associate Dean and Associate Professor of Management Science and Management Information Systems at the Anderson Schools of Management at the University of New Mexico. He received a B.S. in Mathematics and an MBA from the University of New Mexico and has a Ph.D. in Operations Research from the University of Iowa. His research interests include decision support systems, scheduling and strategic planning in MIS. His articles appear in Operations Research, OMEGA, Information & Management, California Management Review among others.

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