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A Product and Process Selection Model with Multidisciplinary Environmental Considerations

Author

Listed:
  • Julie Ann Stuart

    (The Ohio State University, Columbus, Ohio)

  • Jane C. Ammons

    (Georgia Institute of Technology, Atlanta, Georgia)

  • Laura J. Turbini

    (Georgia Institute of Technology, Atlanta, Georgia)

Abstract

Introduction of product designs and process innovation requires a company to evaluate complex cost and environmental tradeoffs. In the past, these have not included environmental costs. This paper describes the first known analytical approach to capture comprehensively measurable corporate environmental impact considerations for the product life cycle. A mixed integer programming model is developed to select product and process alternatives while considering tradeoffs of yield, reliability, and business-focused environmental impacts. Explicit constraints for environmental impacts such as material consumption, energy consumption, and process waste generation are modeled for specified assembly and disassembly periods. The constraint sets demonstrate a new way to define the relationship between disassembly configurations and assembly activities through take-back rates. Use of the model as an industry decision tool is demonstrated with an electronics assembly case study.

Suggested Citation

  • Julie Ann Stuart & Jane C. Ammons & Laura J. Turbini, 1999. "A Product and Process Selection Model with Multidisciplinary Environmental Considerations," Operations Research, INFORMS, vol. 47(2), pages 221-234, April.
    • Handle: RePEc:inm:oropre:v:47:y:1999:i:2:p:221-234
    DOI: 10.1287/opre.47.2.221
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    References listed on IDEAS

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    Cited by:

    1. Hong, I-Hsuan & Lee, Yi-Ting & Chang, Pei-Yu, 2014. "Socially optimal and fund-balanced advanced recycling fees and subsidies in a competitive forward and reverse supply chain," Resources, Conservation & Recycling, Elsevier, vol. 82(C), pages 75-85.
    2. Chen, Chialin & Monahan, George E., 2010. "Environmental safety stock: The impacts of regulatory and voluntary control policies on production planning, inventory control, and environmental performance," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1280-1292, December.
    3. Merriam Haffar & Cory Searcy, 2017. "Classification of Trade-offs Encountered in the Practice of Corporate Sustainability," Journal of Business Ethics, Springer, vol. 140(3), pages 495-522, February.
    4. Bennett, Derek P. & Yano, Candace A., 2004. "A decomposition approach for an equipment selection and multiple product routing problem incorporating environmental factors," European Journal of Operational Research, Elsevier, vol. 156(3), pages 643-664, August.
    5. Hans Rawhouser & Michael Cummings & Scott L. Newbert, 2019. "Social Impact Measurement: Current Approaches and Future Directions for Social Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 43(1), pages 82-115, January.
    6. Giovanni Mattia & Alessio Di Leo & Carlo Alberto Pratesi, 2021. "Recognizing the Key Drivers and Industry Implications of Sustainable Packaging Design: A Mixed-Method Approach," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    7. Xiting Gong & Sean X. Zhou, 2013. "Optimal Production Planning with Emissions Trading," Operations Research, INFORMS, vol. 61(4), pages 908-924, August.
    8. Kumar, U. Dinesh & Nowicki, David & Ramirez-Marquez, Jose Emmanuel & Verma, Dinesh, 2008. "On the optimal selection of process alternatives in a Six Sigma implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 456-467, February.
    9. Kumar Rajaram & Charles J. Corbett, 2002. "Achieving Environmental and Productivity Improvements Through Model-Based Process Redesign," Operations Research, INFORMS, vol. 50(5), pages 751-763, October.
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    11. Tang, Christopher S. & Zhou, Sean, 2012. "Research advances in environmentally and socially sustainable operations," European Journal of Operational Research, Elsevier, vol. 223(3), pages 585-594.

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