A heuristic algorithm to minimize energy cost for scheduling test facilities

The development of a software application that optimizes scheduling subject to several dynamic nonlinear variables is described in this study. Twelve different tasks can be scheduled within any given 24 hour period. The tasks scheduled may use one or more facilities up to 48 in number. Facilities ma...

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Bibliographic Details
Published inComputers & industrial engineering Vol. 31; no. 1; pp. 359 - 362
Main Authors Sundaram, R.Meenakshi, Blair, Lester
Format Journal Article Conference Proceeding
LanguageEnglish
Published Seoul Elsevier Ltd 01.10.1996
Oxford Pergamon Press
New York, NY Pergamon Press Inc
Subjects
Algorithms
Applied sciences
energy cost
Exact sciences and technology
Heuristic
labor cost
Operational research and scientific management
Operational research. Management science
Operations research
Optimization
Scheduling
Scheduling, sequencing
Software
Studies
energy cost
Scheduling
optimization
labor cost
Online AccessGet full text
ISSN0360-8352
1879-0550
DOI10.1016/0360-8352(96)00151-9

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Summary:The development of a software application that optimizes scheduling subject to several dynamic nonlinear variables is described in this study. Twelve different tasks can be scheduled within any given 24 hour period. The tasks scheduled may use one or more facilities up to 48 in number. Facilities may have restrictions on concurrence and maximum power usage. The optimization strategy is developed to minimize both labor and power costs.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0360-8352
1879-0550
DOI:10.1016/0360-8352(96)00151-9