Stochastic Machine Scheduling to Minimize Waiting Time Related Objectives with Emergency Jobs
Joint Authors
Zhang, Lianmin
Guan, Lei
Zhou, Ke
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-11
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
We consider a new scheduling model where emergency jobs appear during the processing of current jobs and must be processed immediately after the present job is completed.
All jobs have random processing times and should be completed on a single machine.
The most common case of the model is the surgery scheduling problem, where some elective surgeries are to be arranged in an operation room when emergency cases are coming during the operating procedure of the elective surgeries.
Two objective functions are proposed to display this practice in machine scheduling problem.
One is the weighted sum of the waiting times and the other is the weighted discounted cost function of the waiting times.
We address some optimal policies to minimize these objectives.
American Psychological Association (APA)
Zhang, Lianmin& Guan, Lei& Zhou, Ke. 2014. Stochastic Machine Scheduling to Minimize Waiting Time Related Objectives with Emergency Jobs. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-502166
Modern Language Association (MLA)
Zhang, Lianmin…[et al.]. Stochastic Machine Scheduling to Minimize Waiting Time Related Objectives with Emergency Jobs. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-502166
American Medical Association (AMA)
Zhang, Lianmin& Guan, Lei& Zhou, Ke. Stochastic Machine Scheduling to Minimize Waiting Time Related Objectives with Emergency Jobs. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-502166
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502166