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

Parag C. Pendharkar, James A. Rodger

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)251-267
Number of pages17
JournalAnnals of Operations Research
Volume95
Issue number1-4
DOIs
StatePublished - 2000

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Management Science and Operations Research

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