Uncertain Single-Machine Scheduling with Deterioration and Learning Effect
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A single-machine scheduling problem with deterioration and learning effect is studied in the present paper.
The processing time and due date are considered uncertain variables due to lack of historical data.
The aim is to minimize the makespan, total completion time, total weight completion time, and maximum lateness under an uncertain environment.
To address the problem in an uncertain environment, the expected value model and pessimistic value model are developed.
These models can be converted into equivalent models based on the inverse distribution method.
It is proved that the corresponding dispatching rules can solve the problem optimally under different objective criteria.
Finally, sensitivity analysis is used to illustrate the effectiveness of these rules.
American Psychological Association (APA)
Shen, Jiayu. 2020. Uncertain Single-Machine Scheduling with Deterioration and Learning Effect. Journal of Mathematics،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1188162
Modern Language Association (MLA)
Shen, Jiayu. Uncertain Single-Machine Scheduling with Deterioration and Learning Effect. Journal of Mathematics No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1188162
American Medical Association (AMA)
Shen, Jiayu. Uncertain Single-Machine Scheduling with Deterioration and Learning Effect. Journal of Mathematics. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1188162
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188162