NDLI: A scheduling problem for a novel container transport system: a case of mobile harbor operation schedule

Content Provider	Springer Nature Link
Author	Nam, Hochang Lee, Taesik
Copyright Year	2012
Abstract	Mobile Harbor (MH) is a movable floating platform with a container handling system on board so that it can load/discharge containers to/from an anchored container ship in the open sea. As with typical quay crane operation, an efficient schedule for its operation is a key to enhancing its operational productivity. A MH operation scheduling problem is to determine a timed sequence of loading/discharging tasks, assignment of MH units to each task, and their docking position, with an objective of minimizing the makespan of a series of incoming container ships. A mixed integer programming model is formulated to formally define the problem. As a practical solution method to the problem, this paper proposes a rule-based algorithm and a random key based genetic algorithm (rkGA). Computational results show that the rkGA method produces a better-quality solution than the rule-based method, while requiring longer computation time.
Starting Page	576
Ending Page	608
Page Count	33
File Format	PDF
ISSN	19366582
Journal	Flexible Services and Manufacturing Journal
Volume Number	25
Issue Number	4
e-ISSN	19366590
Language	English
Publisher	Springer US
Publisher Date	2012-01-26
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Random key based genetic algorithm Mobile harbor Operation scheduling problem Quay crane scheduling Vehicle routing problem Genetic algorithm Mixed integer programming Manufacturing, Machines, Tools Production/Logistics/Supply Chain Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Management Science and Operations Research

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