Scheduling Multiple Yard Cranes with Crane Interference and Safety Distance Requirement
Author(s) -
Yong Wu,
Wenkai Li,
Matthew E.H. Petering,
Mark Goh,
Robert de Souza
Publication year - 2015
Publication title -
transportation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.965
H-Index - 115
eISSN - 1526-5447
pISSN - 0041-1655
DOI - 10.1287/trsc.2015.0641
Subject(s) - yard , scheduling (production processes) , linear programming , dynamic priority scheduling , computer science , integer programming , operations research , mathematical optimization , job shop scheduling , engineering , real time computing , computer network , algorithm , mathematics , physics , quality of service , routing (electronic design automation) , quantum mechanics
Container terminals require robust scheduling algorithms for yard cranes to optimally determine the sequence of storage and retrieval operations in yard blocks for higher container terminal performance. This paper investigates the multiple yard crane scheduling problem within a generic yard block and considers the operational restrictions such as the crane noncrossing constraint and models the crane travel time realistically. Further, the fact that any two adjacent cranes must keep an operational safety distance is also taken into consideration. These physical constraints limit the mobility of yard cranes and greatly render the scheduling difficulty for such pieces of equipment.
This paper proposes a clustering-reassigning approach, which fully considers all of the operational constraints in practice. The complexity of the approach is o(n3), where n is the number of container moves to be scheduled, making it suitable for real-time scheduling. Numerical experiments and benchmark with a continuous time-based mixed-integer linear programming model indicate that the clustering-reassigning approach can provide satisfactory near optimal solutions for different sets of test cases in a real-time scheduling context.Griffith Business School, Department of International Business and Asian StudiesFull Tex
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