The techniques of linear-integer programming are applied to the problem of supplying coal to power plants. A heuristic technique for optimizing the supply of coal to power companies is created. The optimization minimizes the purchase, transportation, and demurrage costs of coal subject to power system operations, power plant demands, coal purchase supply, power plant coal handling operations, and transport options. A procedure for calculation and analysis of cost sensitivity of optimal solutions to input data perturbations is presented which utilizes the optimizing technique.

The nature of the constraint set developed allows for the inclusion of loading and unloading operations in a fine-tuned sense for transportation problems. The results are applicable to transportation problems for which a homogeneous product is shipped by inhomogeneous methods, and this application includes problems such as grain transport, iron ore transport, etc.

Meeting Name

3rd Annual UMR-MEC Conference on Energy (1976: Oct. 12-14, Rolla, MO)


Electrical and Computer Engineering

Document Type

Article - Conference proceedings


Energy Systems II

Document Version

Final Version

File Type





© 1977 University of Missouri--Rolla, All rights reserved.

Publication Date

14 Oct 1976