A mixed-initiative scheduling workbench: integrating AI, OR and HCI
Decision Support Systems
Disjunctive programming: properties of the convex hull of feasible points
Discrete Applied Mathematics
The SEC-system reuse: support for scheduling system development
Decision Support Systems
A knowledge-based decision support system for the management of parts and tools in FMS
Decision Support Systems
A computer-based decision support system for vessel fleet scheduling: experience and future research
Decision Support Systems
Distributed search in railway scheduling problems
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Scheduling trains as a blocking parallel-machine job shop scheduling problem
Computers and Operations Research
The First Optimized Railway Timetable in Practice
Transportation Science
Fast Approaches to Improve the Robustness of a Railway Timetable
Transportation Science
A Lagrangian heuristic algorithm for a real-world train timetabling problem
Discrete Applied Mathematics - Special issue: IV ALIO/EURO workshop on applied combinatorial optimization
Mathematical and Computer Modelling: An International Journal
A decision support system for patient scheduling in travel vaccine administration
Decision Support Systems
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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.