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Optimising Economic, Environmental, and Social Objectives: A Goal-Programming Approach in the Food Sector

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  • David Oglethorpe

    (Newcastle Business School, Northumbria University, Newcastle Upon Tyne NE1 8ST, England)

Abstract

The business-decision environment is increasingly complicated by the emergence of competing economic, environmental, and social goals, a notion typified by the current pressures of global economic instability and climate-change targets. Trade-offs are often unclear and contributions by different actors and stakeholders in the supply chain may be unequal but, due to the interdependencies between businesses and stakeholders in relation to total environmental or social impact, a whole chain, simultaneous, and strategic approach is required. After a review of relevant literature and the identification of knowledge gaps, the author introduces and illustrates the use of goal programming as a technique that could facilitate this approach and uses real case evidence for alternative food supply chain strategies, at local, regional, and national levels. It is shown that the method can simplify a complex simultaneous decision situation into a useful and constructive decision and planning framework. Results show how a priori beliefs may be challenged and how operational and resource efficiency could be improved through the use of such a model, which enables a broad stakeholder appreciation and the opportunity to explore and test new environmental or social challenges.

Suggested Citation

  • David Oglethorpe, 2010. "Optimising Economic, Environmental, and Social Objectives: A Goal-Programming Approach in the Food Sector," Environment and Planning A, , vol. 42(5), pages 1239-1254, May.
  • Handle: RePEc:sae:envira:v:42:y:2010:i:5:p:1239-1254
    DOI: 10.1068/a42292
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    References listed on IDEAS

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    Cited by:

    1. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.
    2. Aleksander Banasik & Argyris Kanellopoulos & G. D. H. Claassen & Jacqueline M. Bloemhof-Ruwaard & Jack G. A. J. Vorst, 2017. "Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization," Annals of Operations Research, Springer, vol. 250(2), pages 341-362, March.

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