Next Article in Journal
Participatory Mapping as an Approach to Identify Grazing Pressure in the Altay Mountains, Mongolia
Next Article in Special Issue
Vibration Suppression of a Single-Cylinder Engine by Means of Multi-objective Evolutionary Optimisation
Previous Article in Journal
Historical and Empirical Basis for Communal Title in Minerals at the National Level: Does Ownership Matter for Human Development?
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(6), 1959; https://doi.org/10.3390/su10061959

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

1
Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
2
Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, Guangdong University of Technology, Guangzhou 510006, China
3
College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
4
Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China
5
Tianhua College, Shanghai Normal University, Shanghai 201815, China
*
Author to whom correspondence should be addressed.
Received: 15 May 2018 / Revised: 1 June 2018 / Accepted: 5 June 2018 / Published: 11 June 2018
Full-Text   |   PDF [2225 KB, uploaded 11 June 2018]   |  

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. View Full-Text
Keywords: port scheduling; berth-quay crane joint scheduling; optimization study; hybrid mathematical model; multi-objective decision-making (MODM); sustainability port scheduling; berth-quay crane joint scheduling; optimization study; hybrid mathematical model; multi-objective decision-making (MODM); sustainability
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Liu, A.; Liu, H.; Tsai, S.-B.; Lu, H.; Zhang, X.; Wang, J. Using a Hybrid Model on Joint Scheduling of Berths and Quay Cranes—From a Sustainable Perspective. Sustainability 2018, 10, 1959.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top