Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents

This study considers a scheduling environment in which there are two agents and a set of jobs, each of which belongs to one of the two agents and its actual processing time is defined as a decreasing linear function of its starting time. Each of the two agents competes to process its respective jobs...

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Main Authors: Hongjie Li, Zeyuan Li, Yunqiang Yin
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/471016
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author Hongjie Li
Zeyuan Li
Yunqiang Yin
author_facet Hongjie Li
Zeyuan Li
Yunqiang Yin
author_sort Hongjie Li
collection DOAJ
description This study considers a scheduling environment in which there are two agents and a set of jobs, each of which belongs to one of the two agents and its actual processing time is defined as a decreasing linear function of its starting time. Each of the two agents competes to process its respective jobs on a single machine and has its own scheduling objective to optimize. The objective is to assign the jobs so that the resulting schedule performs well with respect to the objectives of both agents. The objective functions addressed in this study include the maximum cost, the total weighted completion time, and the discounted total weighted completion time. We investigate three problems arising from different combinations of the objectives of the two agents. The computational complexity of the problems is discussed and solution algorithms where possible are presented.
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institution DOAJ
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-bfd27805c1b74b7e9d5869b9dfcefd902025-08-20T03:22:39ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/471016471016Some Single-Machine Scheduling Problems with Learning Effects and Two Competing AgentsHongjie Li0Zeyuan Li1Yunqiang Yin2Mathematics Department, Zhoukou Normal University, Zhoukou 466001, ChinaCollege of Mechanical and Electrical, Harbin Institute of Technology, Harbin 150001, ChinaCollege of Sciences, East China Institute of Technology, Nanchang 330013, ChinaThis study considers a scheduling environment in which there are two agents and a set of jobs, each of which belongs to one of the two agents and its actual processing time is defined as a decreasing linear function of its starting time. Each of the two agents competes to process its respective jobs on a single machine and has its own scheduling objective to optimize. The objective is to assign the jobs so that the resulting schedule performs well with respect to the objectives of both agents. The objective functions addressed in this study include the maximum cost, the total weighted completion time, and the discounted total weighted completion time. We investigate three problems arising from different combinations of the objectives of the two agents. The computational complexity of the problems is discussed and solution algorithms where possible are presented.http://dx.doi.org/10.1155/2014/471016
spellingShingle Hongjie Li
Zeyuan Li
Yunqiang Yin
Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents
The Scientific World Journal
title Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents
title_full Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents
title_fullStr Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents
title_full_unstemmed Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents
title_short Some Single-Machine Scheduling Problems with Learning Effects and Two Competing Agents
title_sort some single machine scheduling problems with learning effects and two competing agents
url http://dx.doi.org/10.1155/2014/471016
work_keys_str_mv AT hongjieli somesinglemachineschedulingproblemswithlearningeffectsandtwocompetingagents
AT zeyuanli somesinglemachineschedulingproblemswithlearningeffectsandtwocompetingagents
AT yunqiangyin somesinglemachineschedulingproblemswithlearningeffectsandtwocompetingagents