Nonlinear programming and genetic search application for production scheduling in coal mines

Parag Pendharkar () and James Rodger ()

Annals of Operations Research, 2000, vol. 95, issue 1, 267 pages

Abstract: Efforts to eliminate unnecessary scheduling and inventory problems faced by the coal industry today initiated the development of a generalized, nonlinear programming model. Although no accepted methodology for developing such a model for this purpose currently exists, one was created and successfully tested. Production and transportation cost estimates were obtained from independent coal mines in Illinois, Virginia, and Pennsylvania, and based on these estimates, a hypothetical model was developed and tested using genetic search for nonlinear optimization. The results of our tests indicate that the model has potential for decision support in coal mines. Copyright Kluwer Academic Publishers 2000

Keywords: mathematical programming; production scheduling; genetic algorithms (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1023/A:1018958209290

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