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Impacts of quality and transportation on environmental costs in multi-stage multi-product green supply chain

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  • Parvaneh Loni
  • Alireza Arshadi Khamseh

Abstract

An increase in environmental pollution and costs of carbon dioxide (CO2) emission and subsequent increase in the supply chain's general costs all have contributed to rising attention toward these issues. Transportation and the quality of the raw materials purchased are among the most important factors affecting the environmental pollution of production chains. This paper introduces a bi-objective multi-stage multi-product mixed integer nonlinear programming (MINLP) model of green supply chain which considers the effect of different vehicles and quality of raw materials on the chain's total costs and carbon dioxide emission. Finally a numerical example explained and solved through ε-constraint approach.

Suggested Citation

  • Parvaneh Loni & Alireza Arshadi Khamseh, 2016. "Impacts of quality and transportation on environmental costs in multi-stage multi-product green supply chain," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 9(3), pages 329-348.
    • Handle: RePEc:ids:ijmore:v:9:y:2016:i:3:p:329-348
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    Cited by:

    1. M. Boronoos & M. Mousazadeh & S. Ali Torabi, 2021. "A robust mixed flexible-possibilistic programming approach for multi-objective closed-loop green supply chain network design," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3368-3395, March.

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