Rescheduling Problems with Agreeable Job Parameters to Minimize the Tardiness Costs under Deterioration and Disruption

Joint Authors

Xingong, Zhang
Yong, Wang

Source

Mathematical Problems in Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-08-29

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

This paper considers single-machine rescheduling problems with agreeable job parameters under deterioration and disruption.

Deteriorating jobs mean that the processing time of a job is defined by an increasing function of its starting time.

Rescheduling means that, after a set of original jobs has already been scheduled, a new set of jobs arrives and creates a disruption.

We consider four cases of minimization of the total tardiness costs with agreeable job parameters under a limit of the disruptions from the original job sequence.

We propose polynomial-time algorithms or some dynamic programming algorithms under sequence disruption and time disruption.

American Psychological Association (APA)

Xingong, Zhang& Yong, Wang. 2013. Rescheduling Problems with Agreeable Job Parameters to Minimize the Tardiness Costs under Deterioration and Disruption. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1008516

Modern Language Association (MLA)

Xingong, Zhang& Yong, Wang. Rescheduling Problems with Agreeable Job Parameters to Minimize the Tardiness Costs under Deterioration and Disruption. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1008516

American Medical Association (AMA)

Xingong, Zhang& Yong, Wang. Rescheduling Problems with Agreeable Job Parameters to Minimize the Tardiness Costs under Deterioration and Disruption. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1008516

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1008516