A demand-responsive decision support system for coal transportation

In this paper, a demand-responsive decision support system is proposed by integrating the operations of coal shipment, coal stockpiles and coal railing within a whole system. A generic and flexible scheduling optimisation methodology is developed to identify, represent, model, solve and analyse the coal transport problem in a standard and convenient way. As a result, the integrated train-stockpile-ship timetable is created and optimised for improving overall efficiency of coal transport system. A comprehensive sensitivity analysis based on extensive computational experiments is conducted to validate the proposed methodology. The mathematical proposition and proof are concluded as technical and insightful advices for industry practice. The proposed methodology provides better decision making on how to assign rail rolling-stocks and upgrade infrastructure in order to significantly improve capacity utilisation with the best resource-effectiveness ratio. The proposed decision support system with train-stockpile-ship scheduling optimisation techniques is promising to be applied in railway or mining industry, especially as a useful quantitative decision making tool on how to use more current rolling-stocks or whether to buy additional rolling-stocks for mining transportation.

► Integrate the operations of coal shipment, coal stockpiles and coal railing within a whole system.
► Develop a cutting-edge methodology to identify, represent, model, solve and analyse the coal transport problem.
► Create and optimise the integrated train-stockpile-ship timetable for coal transport system.
► Assign rail rolling-stocks and upgrade infrastructure for significantly improving capacity utilisation.
► Conclude conceptual propositions as insightful and quantitative advises for mining industry practitioners.