Sensitivity Analysis of List Scheduling Heuristics
When jobs have to be processed on a set of identical parallel machines so as to minimize the makespan of the schedule, list scheduling rules form a popular class of heuristics. The order in which jobs appear on the list is assumed here to be determined by the relative size of their processing times;...
Main Authors: | , , , |
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Format: | Working Paper |
Language: | en_US |
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Massachusetts Institute of Technology, Operations Research Center
2004
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Online Access: | http://hdl.handle.net/1721.1/5268 |
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author | Kolen, A.W. J. Rinnooy Kan, A. H. G. Van Hoesel, C. P. M. Wagelmans, Albert |
author_facet | Kolen, A.W. J. Rinnooy Kan, A. H. G. Van Hoesel, C. P. M. Wagelmans, Albert |
author_sort | Kolen, A.W. J. |
collection | MIT |
description | When jobs have to be processed on a set of identical parallel machines so as to minimize the makespan of the schedule, list scheduling rules form a popular class of heuristics. The order in which jobs appear on the list is assumed here to be determined by the relative size of their processing times; well known special cases are the LPT rule and the SPT rule, in which the jobs are ordered according to non-increasing and non-decreasing processing time respectively. When one of the job processing times is gradually increased, the schedule produced by a list scheduling rule will be affected in a manner reflecting its sensitivity to data perturbations. We analyze this phenomenon and obtain analytical support for the intuitively plausible notion that the sensitivity of a list scheduling rule increases with the quality of the schedule produced. |
first_indexed | 2024-09-23T13:30:32Z |
format | Working Paper |
id | mit-1721.1/5268 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T13:30:32Z |
publishDate | 2004 |
publisher | Massachusetts Institute of Technology, Operations Research Center |
record_format | dspace |
spelling | mit-1721.1/52682019-04-10T15:18:23Z Sensitivity Analysis of List Scheduling Heuristics Kolen, A.W. J. Rinnooy Kan, A. H. G. Van Hoesel, C. P. M. Wagelmans, Albert When jobs have to be processed on a set of identical parallel machines so as to minimize the makespan of the schedule, list scheduling rules form a popular class of heuristics. The order in which jobs appear on the list is assumed here to be determined by the relative size of their processing times; well known special cases are the LPT rule and the SPT rule, in which the jobs are ordered according to non-increasing and non-decreasing processing time respectively. When one of the job processing times is gradually increased, the schedule produced by a list scheduling rule will be affected in a manner reflecting its sensitivity to data perturbations. We analyze this phenomenon and obtain analytical support for the intuitively plausible notion that the sensitivity of a list scheduling rule increases with the quality of the schedule produced. 2004-05-28T19:30:56Z 2004-05-28T19:30:56Z 1990-10 Working Paper http://hdl.handle.net/1721.1/5268 en_US Operations Research Center Working Paper;OR 229-90 1744 bytes 1241011 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center |
spellingShingle | Kolen, A.W. J. Rinnooy Kan, A. H. G. Van Hoesel, C. P. M. Wagelmans, Albert Sensitivity Analysis of List Scheduling Heuristics |
title | Sensitivity Analysis of List Scheduling Heuristics |
title_full | Sensitivity Analysis of List Scheduling Heuristics |
title_fullStr | Sensitivity Analysis of List Scheduling Heuristics |
title_full_unstemmed | Sensitivity Analysis of List Scheduling Heuristics |
title_short | Sensitivity Analysis of List Scheduling Heuristics |
title_sort | sensitivity analysis of list scheduling heuristics |
url | http://hdl.handle.net/1721.1/5268 |
work_keys_str_mv | AT kolenawj sensitivityanalysisoflistschedulingheuristics AT rinnooykanahg sensitivityanalysisoflistschedulingheuristics AT vanhoeselcpm sensitivityanalysisoflistschedulingheuristics AT wagelmansalbert sensitivityanalysisoflistschedulingheuristics |