Using a Hybrid Model on Joint Scheduling of Berths and Quay Cranes—From a Sustainable Perspective

Aijun Liu, Haiyang Liu, Sang-Bing Tsai, Hui Lu, Xiao Zhang and Jiangtao Wang
Additional contact information
Aijun Liu: Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
Haiyang Liu: Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
Sang-Bing Tsai: College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
Hui Lu: Tianhua College, Shanghai Normal University, Shanghai 201815, China
Xiao Zhang: Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
Jiangtao Wang: Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China

Sustainability, 2018, vol. 10, issue 6, 1-15

Abstract: In response to the problem of the unfair distribution of berths and quay cranes, as well as the optimization of the traffic path in port scheduling, a berth-crane joint scheduling model is proposed. Firstly, a ship is coded according to its geographical location and its arrival time in the form 0, 1. Then, the shortest port time, the minimum system cost, and the minimum unfairness are taken into account with the status quo of the port. Thus, a multi-objective joint scheduling model is established and solved by an improved NSGA-II algorithm. Finally, a practical example is given to verify the validity of the proposed method, the stable and the convergent of the proposed method are proved by many times computer simulations. The novelty of this paper is that we have taken psychological factors of fairness as well as social factors of sustainable development into consideration, and proposed an improved NSGA-II algorithm with random repair operator and self-adaptive operator to solve the multi-objective decision problem on joint scheduling of berths and quay crane.

Keywords: port scheduling; berth-quay crane joint scheduling; optimization study; hybrid mathematical model; multi-objective decision-making (MODM); sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/6/1959/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/6/1959/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:6:p:1959-:d:151853

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().