A Two-Stage Three-Machine Flow Shop Assembly Problem Mixed with a Controllable Number and Sum-of-Processing Times-Based Learning Effect by Simulated Annealing Algorithms
Author
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The two-stage assembly scheduling problem is widely used in industrial and service industries.
This study focuses on the two-stage three-machine flow shop assembly problem mixed with a controllable number and sum-of-processing times-based learning effect, in which the job processing time is considered to be a function of the control of the truncation parameters and learning based on the sum of the processing time.
However, the truncation function is very limited in the two-stage flow shop assembly scheduling settings.
Thus, this study explores a two-stage three-machine flow shop assembly problem with truncated learning to minimize the makespan criterion.
To solve the proposed model, we derive several dominance rules, lemmas, and lower bounds applied in the branch-and-bound method.
On the other hand, three simulated annealing algorithms are proposed for finding approximate solutions.
In both the small and large size number of job situations, the SA algorithm is better than the JS algorithm in this study.
All the experimental results of the proposed algorithm are presented on small and large job sizes, respectively.
American Psychological Association (APA)
Liu, Shang-Chia. 2020. A Two-Stage Three-Machine Flow Shop Assembly Problem Mixed with a Controllable Number and Sum-of-Processing Times-Based Learning Effect by Simulated Annealing Algorithms. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1153022
Modern Language Association (MLA)
Liu, Shang-Chia. A Two-Stage Three-Machine Flow Shop Assembly Problem Mixed with a Controllable Number and Sum-of-Processing Times-Based Learning Effect by Simulated Annealing Algorithms. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1153022
American Medical Association (AMA)
Liu, Shang-Chia. A Two-Stage Three-Machine Flow Shop Assembly Problem Mixed with a Controllable Number and Sum-of-Processing Times-Based Learning Effect by Simulated Annealing Algorithms. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1153022
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153022