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Integrated storage space allocation and ship scheduling problem in bulk cargo terminals

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posted on 07.01.2016, 15:52 authored by Lixin Tang, Defeng Sun, Jiyin LiuJiyin Liu
This study is motivated by the practices of large iron and steel companies that have steady and heavy demands for bulk raw materials, such as iron ore, coal, limestone, etc. These materials are usually transported to a bulk cargo terminal by ships (or to a station by trains). Once unloaded, they are moved to and stored in a bulk material stockyard, waiting for retrieval for use in production. Efficient storage space allocation and ship scheduling are critical to achieving high space utilization, low material loss, and low transportation costs. In this article, we study the integrated storage space allocation and ship scheduling problem in the bulk cargo terminal. Our problem is different from other associated problems due to the special way that the materials are transported and stored. A novel mixed-integer programming model is developed and then solved using a Benders decomposition algorithm, which is enhanced by the use of various valid inequalities, combinatorial Benders cuts, variable reduction tests, and an iterative heuristic procedure. Computational results indicate that the proposed solution method is much more efficient than the standard solution software CPLEX.

Funding

This research is partly supported by the Fund for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 71321001), and the State Key Program of the National Natural Science Foundation of China (Grant No. 71032004)

History

School

  • Business and Economics

Department

  • Business

Published in

IIE Transactions (Institute of Industrial Engineers)

Pages

1 - 12

Citation

TANG, L., SUN, D. and LIU, J., 2015. Integrated storage space allocation and ship scheduling problem in bulk cargo terminals. IIE Transactions, 48 (5), pp. 428-439.

Publisher

© IIE. Published by Taylor & Francis

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This is an Accepted Manuscript of an article published by Taylor & Francis in IIE Transactions on 29 Jul 2015, available online: http://dx.doi.org/10.1080/0740817X.2015.1063791

ISSN

0740-817X

eISSN

1545-8830

Language

en