A branch and bound algorithm to solve a two-machine no-wait flowshop scheduling problem with truncated learning function. Issue 2 (2nd April 2020)
- Record Type:
- Journal Article
- Title:
- A branch and bound algorithm to solve a two-machine no-wait flowshop scheduling problem with truncated learning function. Issue 2 (2nd April 2020)
- Main Title:
- A branch and bound algorithm to solve a two-machine no-wait flowshop scheduling problem with truncated learning function
- Authors:
- Azizi, Vahid
Hu, Guiping - Abstract:
- ABSTRACT: This paper addresses a two-machine no-wait flowshop problem with the effect of the truncated learning function of jobs whose actual processing times depend on their positions in the sequence. By considering truncated learning effect, the actual processing time of a job is a function of its position index in the schedule and a control parameter. In a production scenario with truncated learning effect, the actual processing time of a job will not be lower than a threshold when the number of processed jobs increases. We develop a branch and bound algorithm to minimize the makespan. A lower bound and a dominance property have been proposed to increase the speed of elimination process in the branch and bound algorithm.
- Is Part Of:
- International journal of management science and engineering management. Volume 15:Issue 2(2020)
- Journal:
- International journal of management science and engineering management
- Issue:
- Volume 15:Issue 2(2020)
- Issue Display:
- Volume 15, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 15
- Issue:
- 2
- Issue Sort Value:
- 2020-0015-0002-0000
- Page Start:
- 89
- Page End:
- 95
- Publication Date:
- 2020-04-02
- Subjects:
- Flowshop -- scheduling -- no-wait -- truncated learning -- branch and bound algorithm -- heuristic
L6, C61
Management science -- Periodicals
Engineering -- Management -- Periodicals
Engineering -- Management
Management science
Periodicals
658.005 - Journal URLs:
- http://www.tandfonline.com/loi/tmse20 ↗
http://www.msem.org.uk/ ↗
http://www.tandfonline.com/ ↗
http://www.msem.org.uk ↗ - DOI:
- 10.1080/17509653.2019.1633965 ↗
- Languages:
- English
- ISSNs:
- 1750-9661
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13791.xml