Author ORCID Identifier
https://orcid.org/0000-0002-9945-3370
https://orcid.org/0000-0001-9870-7044
N/A
Document Type
Article
Publication Date
2005
College/Unit
Statler College of Engineering and Mining Resources
Department/Program/Center
Industrial and Managements Systems Engineering
Abstract
This paper presents a mathematical model and simulated annealing heuristics for assigning activities to workspaces and resources (e.g., equipment, parts, and toolboxes) to work/storage spaces during planned outages at electric power plants. These assignments are made such that the distance resources (toolboxes) travel throughout the duration of the outage is minimized. This problem is de2ned as the dynamic space allocation problem. To test the performance of the proposed techniques, a data set is generated and used in the analysis. The results show that the simulated annealing heuristics perform well with respect to solution quality and computational time.
Digital Commons Citation
McKendall, Alan; Noble, James; and Klein, Cerry, "Simulated Annealing Heuristics for Managing Resources during Planned Outages at Electric Power Plants" (2005). Faculty & Staff Scholarship. 3053.
https://researchrepository.wvu.edu/faculty_publications/3053