Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times
The makespan, flow time and maximum lateness problems of scheduling a set of tasks with deadlines and increasing rates of processing times on a single machine are considered in this paper. We first show that, when the increasing rates of processing time are identical, the makespan problem is equival...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2000
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/873 https://doi.org/10.1007/s002360050170 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.lkcsb_research-1872 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.lkcsb_research-18722010-09-23T06:24:04Z Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times Cheng, T. C. E. DING, Qing The makespan, flow time and maximum lateness problems of scheduling a set of tasks with deadlines and increasing rates of processing times on a single machine are considered in this paper. We first show that, when the increasing rates of processing time are identical, the makespan problem is equivalent to the corresponding flow time problem. Both problems are solvable in O(n[sup 5]) time by a dynamic programming algorithm. As an application of the dynamic programming algorithm, we demonstrate that the corresponding maximum lateness problem can be solved in O(n[sup 6] log r,) time. We then show that the general makespan problem is strongly NP-complete. Thus, both the corresponding flow time problem and maximum lateness problem are also strongly NP-complete. 2000-04-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/873 info:doi/10.1007/s002360050170 https://doi.org/10.1007/s002360050170 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Operations and Supply Chain Management |
spellingShingle |
Operations and Supply Chain Management Cheng, T. C. E. DING, Qing Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times |
description |
The makespan, flow time and maximum lateness problems of scheduling a set of tasks with deadlines and increasing rates of processing times on a single machine are considered in this paper. We first show that, when the increasing rates of processing time are identical, the makespan problem is equivalent to the corresponding flow time problem. Both problems are solvable in O(n[sup 5]) time by a dynamic programming algorithm. As an application of the dynamic programming algorithm, we demonstrate that the corresponding maximum lateness problem can be solved in O(n[sup 6] log r,) time. We then show that the general makespan problem is strongly NP-complete. Thus, both the corresponding flow time problem and maximum lateness problem are also strongly NP-complete. |
format |
text |
author |
Cheng, T. C. E. DING, Qing |
author_facet |
Cheng, T. C. E. DING, Qing |
author_sort |
Cheng, T. C. E. |
title |
Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times |
title_short |
Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times |
title_full |
Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times |
title_fullStr |
Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times |
title_full_unstemmed |
Single Machine Scheduling with Deadlines and Increasing Rates of Processing Times |
title_sort |
single machine scheduling with deadlines and increasing rates of processing times |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2000 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/873 https://doi.org/10.1007/s002360050170 |
_version_ |
1770569721490440192 |