Minimizing Total Flow Time in Single Machine Environment with Release Time
Publication Type
Journal Article
Publication Date
11-2004
Abstract
We study the problem of minimizing total flow time on a single machine with job release times. This problem is NP-complete for which is no constant ratio approximation algorithm. Our objective is to study experimentally how well, on average, the problem can be solved. The algorithm we use produces non-preemptive schedules converted from preemptive ones. We evaluate average solution quality for the problem to identify the characteristics of difficult instances. Results obtained are compared with those recently obtained by other researchers. Based on extensive experiments, we also develop an empirical model to predict solution quality using interpolation.
Keywords
Experimental analysis, Flow time, Machine scheduling, Performance prediction
Discipline
Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Computers and Industrial Engineering
Volume
47
Issue
2
First Page
123
Last Page
140
ISSN
0360-8352
Identifier
10.1016/j.cie.2004.06.004
Publisher
Elsevier
Citation
GUO, Yunsong; LIM, Andrew; RODRIGUES, Brian; and YU, Shuang.
Minimizing Total Flow Time in Single Machine Environment with Release Time. (2004). Computers and Industrial Engineering. 47, (2), 123-140.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/2565
Additional URL
https://doi.org/10.1016/j.cie.2004.06.004