Paper Title:
Optimization of Container Terminal Unloading Operations Based Upon Multistage Flexible Flowshop Scheduling
  Abstract

Modeling unloading operations at maritime container terminals has increasingly become crucial to container terminal planners. This paper presents the multistage flexible flowshop scheduling problem (MFFSP). The objective of the MFFSP is to determine a schedule that minimizes the schedule length for a given number of containers and handling equipment over a finite planning horizon. Since the MFFSP is NP-hard in the strong sense, metaheuristic solution method is employed. A global lower bound to measure the efficiency of the metaheuristic procedure is derived. The optimization procedure is based on Genetic Algorithm (GA) which is used to estimate the minimum schedule length for a number of problem instances. Computational experiments validate the developed MFFSP.

  Info
Periodical
Chapter
Chapter 3: Modern Logistics System Planning and Optimization
Edited by
Shucai Li
Pages
633-639
DOI
10.4028/www.scientific.net/AMM.97-98.633
Citation
E. Massami, Z. H. Jin, "Optimization of Container Terminal Unloading Operations Based Upon Multistage Flexible Flowshop Scheduling", Applied Mechanics and Materials, Vols. 97-98, pp. 633-639, 2011
Online since
September 2011
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Price
$32.00
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