Mathematical Model and Algorithm for the Reefer Mechanic Scheduling Problem at Seaports
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-06
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the development of seaborne logistics, the international trade of goods transported in refrigerated containers is growing fast.
Refrigerated containers, also known as reefers, are used in transportation of temperature sensitive cargo, such as perishable fruits.
This trend brings new challenges to terminal managers, that is, how to efficiently arrange mechanics to plug and unplug power for the reefers (i.e., tasks) at yards.
This work investigates the reefer mechanics scheduling problem at container ports.
To minimize the sum of the total tardiness of all tasks and the total working distance of all mechanics, we formulate a mathematical model.
For the resolution of this problem, we propose a DE algorithm which is combined with efficient heuristics, local search strategies, and parameter adaption scheme.
The proposed algorithm is tested and validated through numerical experiments.
Computational results demonstrate the effectiveness and efficiency of the proposed algorithm.
American Psychological Association (APA)
Zhang, Jiantong& Song, Yujian. 2017. Mathematical Model and Algorithm for the Reefer Mechanic Scheduling Problem at Seaports. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1151466
Modern Language Association (MLA)
Zhang, Jiantong& Song, Yujian. Mathematical Model and Algorithm for the Reefer Mechanic Scheduling Problem at Seaports. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1151466
American Medical Association (AMA)
Zhang, Jiantong& Song, Yujian. Mathematical Model and Algorithm for the Reefer Mechanic Scheduling Problem at Seaports. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1151466
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151466