Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Eksioglu, D. Sandra
Committee Member
Greenwood, G. Allen
Committee Member
Eksioglu, Burak
Date of Degree
8-9-2008
Document Type
Graduate Thesis - Open Access
Major
Industrial Engineering
Degree Name
Master of Science (M.S.)
College
James Worth Bagley College of Engineering
Department
Department of Industrial and Systems Engineering
Abstract
This study provides heuristic approaches, including an ant colony optimization (ACO) inspired heuristic, to solve a crane scheduling problem that exists in most shipyards, where cranes are a primary means of processing and handling materials. Cranes move on a network of tracks, thus, blocking of crane movements is an issue. The crane scheduling problem consists of two major sub-problems: scheduling problem that determines the best overall order in which jobs are to be performed; the assignment problem that assigns cranes to jobs. The proposed heuristic consists of an Earliest Due Date sorting procedure in combination with an ACO assignment procedure that aims to satisfy the objectives of minimizing makespan while maximizing crane utilization. Test data sets of various sizes are generated and the results of the proposed approach are compared to other developed heuristics. The proposed approach outperforms others in both objective measures and obtains solutions in a timely manner.
URI
https://hdl.handle.net/11668/15406
Recommended Citation
Wen, Charlie Hsiao Kuang, "Heuristic approaches for crane scheduling in ship building" (2008). Theses and Dissertations. 2487.
https://scholarsjunction.msstate.edu/td/2487