Scheduling deteriorating jobs under disruption
This paper considers machine scheduling problems with deteriorating jobs under disruption. There are two types of disruption. In the first one we cannot know the disruption in advance and can only start to revise the schedule until the disruption actually occurs. In the second one we can know a disr...
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| Vydáno v: | International journal of production economics Ročník 125; číslo 2; s. 294 - 299 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
01.06.2010
Elsevier |
| Edice: | International Journal of Production Economics |
| Témata: | |
| ISSN: | 0925-5273, 1873-7579 |
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| Abstract | This paper considers machine scheduling problems with deteriorating jobs under disruption. There are two types of disruption. In the first one we cannot know the disruption in advance and can only start to revise the schedule until the disruption actually occurs. In the second one we can know a disruption is going to occur at some point in the future and can revise the schedule in advance to respond disruption before it occurs. We want to create a new schedule that takes into account both the original objective function and a measure of deviation from the original schedule. The objective is weighted sum of total completion time and total tardiness. We discuss single machine problems and two parallel machine problems. In each case, either a polynomial algorithm or pseudo-polynomial dynamic programming algorithm be provided, respectively. |
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| AbstractList | This paper considers machine scheduling problems with deteriorating jobs under disruption. There are two types of disruption. In the first one we cannot know the disruption in advance and can only start to revise the schedule until the disruption actually occurs. In the second one we can know a disruption is going to occur at some point in the future and can revise the schedule in advance to respond disruption before it occurs. We want to create a new schedule that takes into account both the original objective function and a measure of deviation from the original schedule. The objective is weighted sum of total completion time and total tardiness. We discuss single machine problems and two parallel machine problems. In each case, either a polynomial algorithm or pseudo-polynomial dynamic programming algorithm be provided, respectively. |
| Author | Zhao, Chuan-Li Tang, Heng-Yong |
| Author_xml | – sequence: 1 givenname: Chuan-Li surname: Zhao fullname: Zhao, Chuan-Li email: zhaochuanli@synu.edu.cn – sequence: 2 givenname: Heng-Yong surname: Tang fullname: Tang, Heng-Yong |
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| SubjectTerms | Algorithms Completion time Deteriorating jobs Deterioration Deviation Disruption Dynamische Optimierung Economics Schedules Scheduling Scheduling Deteriorating jobs Disruption Tardiness Scheduling-Verfahren Störungsmanagement Tardiness Theorie |
| Title | Scheduling deteriorating jobs under disruption |
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