Two Parallel Machines Scheduling with Two-Vehicle Job Delivery to Minimize Makespan
Joint Authors
Jiang, Dakui
Hao, Jianhong
Cao, Lisi
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-31
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A problem of parallel machine scheduling with coordinated job deliveries is handled to minimize the makespan.
Different jobs call for dissimilar sizes of storing space in the process of transportation.
A range of jobs of one customer in the problem have priority to be processed on two identical parallel machines without preemption and then delivered to the customer by two vehicles in batches.
For this NP-hard problem, we first prove that it is impossible to have a polynomial heuristic with a worst-case performance ratio bound less than 2 unless P = NP.
Thereafter, we develop a polynomial heuristic for this problem, the worst-case ratio of which is bounded by 2.
American Psychological Association (APA)
Cao, Lisi& Hao, Jianhong& Jiang, Dakui. 2020. Two Parallel Machines Scheduling with Two-Vehicle Job Delivery to Minimize Makespan. Complexity،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1139933
Modern Language Association (MLA)
Cao, Lisi…[et al.]. Two Parallel Machines Scheduling with Two-Vehicle Job Delivery to Minimize Makespan. Complexity No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1139933
American Medical Association (AMA)
Cao, Lisi& Hao, Jianhong& Jiang, Dakui. Two Parallel Machines Scheduling with Two-Vehicle Job Delivery to Minimize Makespan. Complexity. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1139933
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139933