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Simulation and optimization of a new waste remediation process

Author

Listed:
  • White, T. P.
  • Toland, R.
  • Jackson, J. A.
  • Kloeber, J. M.

Abstract

In the development of large scale technologically advanced projects and procedures, it is often necessary to project the life cycle cost elements of a full production system based upon test results from a much smaller prototype facility. This paper describes an application of simulation to characterize equipment and facilities for a large-scale vitrification plant, based upon available results, expert opinion, and classical cost estimating techniques. This study improves the understanding of the vitrification process and reduced cost uncertainties. Further, it details how optimization was incorporated in modeling the minimum additive waste stabilization blending process to reduce the cost of additives and provide a more rigorous estimate of overall system cost.

Suggested Citation

  • White, T. P. & Toland, R. & Jackson, J. A. & Kloeber, J. M., 1996. "Simulation and optimization of a new waste remediation process," Omega, Elsevier, vol. 24(6), pages 705-714, December.
    • Handle: RePEc:eee:jomega:v:24:y:1996:i:6:p:705-714
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    Cited by:

    1. Lin, Rung-Chuan & Sir, Mustafa Y. & Pasupathy, Kalyan S., 2013. "Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services," Omega, Elsevier, vol. 41(5), pages 881-892.

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