Optimum Utilisation of Rolling Stocks for Iron Ore Mining Industries

Abstract:

Article Preview

In this paper, a generic and flexible optimisation methodology is developed to represent, model, solve and analyse the iron ore supply chain system by integrating of iron ore shipment, stockpiles and railing within a whole system. As a result, an integrated train-stockpile-ship timetable is created and optimised for improving efficiency of overall supply chain system. The proposed methodology provides better decision making on how to significantly improve rolling stock utilisation with the best cost-effectiveness ratio. Based on extensive computational experiments and analysis, insightful and quantitative advices are suggested for iron ore mine industry practitioners. The proposed methodology contributes to the sustainability of the environment by reducing pollution due to better utilisation of transportation resources and fuel.

Info:

Periodical:

Advanced Materials Research (Volumes 361-363)

Edited by:

Qunjie Xu, Honghua Ge and Junxi Zhang

Pages:

1529-1534

DOI:

10.4028/www.scientific.net/AMR.361-363.1529

Citation:

S. Q. Liu and E. Kozan, "Optimum Utilisation of Rolling Stocks for Iron Ore Mining Industries", Advanced Materials Research, Vols. 361-363, pp. 1529-1534, 2012

Online since:

October 2011

Export:

Price:

$38.00

[1] X. Zhou and M. Zhong. Bicriteria train scheduling for high-speed passenger railroad planning applications. European Journal of Operational Research, Vol. 167, 752–771, (2005).

DOI: 10.1016/j.ejor.2004.07.019

[2] A. Caprara, M. Monaci, P. Toth and P.L. Guida. A Lagrangian heuristic algorithm for a real-world train timetabling problem. Discrete Applied Mathematics, Vol. 154, 738 –753, (2006).

DOI: 10.1016/j.dam.2005.05.026

[3] M. Carey and I. Crawford. Scheduling trains on a network of busy complex stations. Transportation Research Part B, Vol. 41, 159-178, (2007).

DOI: 10.1016/j.trb.2006.02.002

[4] V. Cacchiani, A. Caprara and P. Toth. A column generation approach to train timetabling on a corridor. A Quarterly Journal of Operations Research, Vol. 6, 125-142, (2008).

DOI: 10.1007/s10288-007-0037-5

[5] F. Corman, A. D'Ariano, D. Pacciarelli and M. Pranzo. A tabu search algorithm for rerouting trains during rail operations. Transportation Research Part B, Vol. 44, 175–192, (2010).

DOI: 10.1016/j.trb.2009.05.004

[6] J.T. Krasemann. Design of an effective algorithm for fast response to the re-scheduling of railway traffic during disturbances. Transportation Research Part C, doi: 10. 1016/j. trc. 2010. 12. 004, (2011).

[7] R.L. Burdett and E. Kozan. Techniques for inserting additional trains into existing timetables. Transportation Research Part B, Vol. 43, 821-836, (2009).

DOI: 10.1016/j.trb.2009.02.005

[8] R.L. Burdett and E. Kozan. Development of a disjunctive graph model and constructive algorithms for train scheduling. European Journal of Operational Research, Vol. 200(1), 85-98, (2010).

DOI: 10.1016/j.ejor.2008.12.005

[9] S.Q. Liu, and E. Kozan. Scheduling trains as a blocking parallel-machine job shop scheduling problem. Computers and Operations Research, Vol. 36, 2840-2852, (2009).

DOI: 10.1016/j.cor.2008.12.012

[10] S.Q. Liu, and E. Kozan. A hybrid shifting bottleneck procedure algorithm for the parallel-machine job-shop scheduling problem. Journal of the Operational Research Society, doi: 10. 1057/jors. 2011. 4, (2011).

DOI: 10.1057/jors.2011.4

[11] S.Q. Liu, and E. Kozan. Scheduling trains with priorities: a no-wait blocking parallel-machine job-shop scheduling model. Transportation Science, doi: 10. 1287/trsc. 1100. 0332, (2010).

DOI: 10.1287/trsc.1100.0332

In order to see related information, you need to Login.