Earticle

초록

영어

The key to improve the container terminal efficiency is the integrated optimization of the quay crane (QC) and the yard truck (YT) scheduling, which is normally settled separately and considered in a certain condition in classical literatures. To improve the operation efficiency and simulate the practical operation, a PSO-based integrated QC-YT scheduling optimization model with uncertain factors is established in this research, considering two uncertain factors of YT travel speed and unit time of QC loading/discharging operation that affect the operating efficiency of the terminal greatly. The goal is the minimal operated time of QCs with the coordination of YTs. To solve this difficult combinatorial problem, the PSO algorithm is developed. PSO is evaluated for combinatorial problems with uncertain factors, which represents a new application of PSO. Numerical experiments show that the model of this research gives systemic simulation for the scheduling process with uncertain factors. And the results are better than model without uncertainties in terms of the accuracy and stability.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Problem Description and Proposed Model
  3.1 Problem Description
  3.2 Assumptions and Notations
  3.3 Parameters
  3.4 Decision Variables
  3.5 Model
 4 PSO Algorithms
  4.1 Model Assumption
  4.2 Parameters
  4.3 Calculating Process
 5. Numerical experiments and Results
 6．Conclusions
 References

키워드

저자

• Yiqin Lu [ Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China, School of Economics& Management, Shanghai University of Electric Power, Shanghai 200090, China ]
• Youfang Huang [ Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China ]
• Bin Yang [ Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605