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A multi-attribute utility model for environmental decision-making: an application to casting

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  • Souad Ahmed Benromdhane

    (US Environmental Protection Agency)

Abstract

It is a well-known fact among environmental researchers that the casting process presents challenges to those entrusted with protecting the environment. Prior studies suggested models for health risk assessment that offered alternatives to help lower toxic emissions. Limitations were encountered when those alternatives were discussed for their acceptability in the pouring, cooling and shakeout stages of the casting process. The current study proposes to enrich the relevancy of these previous models to decision-makers by incorporating technical and economic attributes of interest to the manufacturer. The enhanced model uses a multi-attribute utility function to minimize toxic emission while controlling for technical and economic constraints. Under policy limitations, the model was complemented with a human factor as an uncertain belief encompassing partiality of the expert’s judgment or the stakeholder’s preference. The results of a simulation used for illustration purpose were encouraging to the usefulness of the proposed model. The sensitivity to variable scenarios accounting for environmental pollutants proved to build a consensus around potential alternatives.

Suggested Citation

  • Souad Ahmed Benromdhane, 2021. "A multi-attribute utility model for environmental decision-making: an application to casting," Environment Systems and Decisions, Springer, vol. 41(1), pages 21-32, March.
    • Handle: RePEc:spr:envsyd:v:41:y:2021:i:1:d:10.1007_s10669-020-09782-z
    DOI: 10.1007/s10669-020-09782-z
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    References listed on IDEAS

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    1. Constantin Zopounidis & Michael Doumpos, 2017. "Multiple Criteria Decision Making," Post-Print hal-02880222, HAL.
    2. Margaret H. Kurth & Sabrina Larkin & Jeffrey M. Keisler & Igor Linkov, 2017. "Trends and applications of multi-criteria decision analysis: use in government agencies," Environment Systems and Decisions, Springer, vol. 37(2), pages 134-143, June.
    3. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834.
    4. Jeffrey C. Cegan & Ashley M. Filion & Jeffrey M. Keisler & Igor Linkov, 2017. "Trends and applications of multi-criteria decision analysis in environmental sciences: literature review," Environment Systems and Decisions, Springer, vol. 37(2), pages 123-133, June.
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    Cited by:

    1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2021. "Advanced analytics for environmental resilience and a sustainable future," Environment Systems and Decisions, Springer, vol. 41(1), pages 1-2, March.

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