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Environmental performance measures for supply chains

Author

Listed:
  • A.M.A. El Saadany
  • M.Y. Jaber
  • M. Bonney

Abstract

Purpose - The paper seeks to develop an analytical decision model that is used to investigate the performance of a supply chain when product, process, and environmental quality characteristics are considered. Design/methodology/approach - Environmental performance measures and methods to quantify quality are reviewed and then used to develop a method to measure environmental quality and its associated costs. This was translated into a two‐level supply chain coordination model that captures most aspects of green supply chains. Numerical examples are provided and solved using Excel Solver enhanced with VBA codes. Findings - The results confirmed some findings in the literature that investing to reduce environmental costs improves environmental performance and increases total profits. Research limitations/implications - The environmental quality cost function that was used was of a form that guarantees a global optimal solution. A limitation is that the function may take more complex forms where different analytical and solution methods would be needed. Originality/value - The model fills a gap in the literature where there is a lack of models to help managers implement environmentally acceptable coordinated two‐level supply chains.

Suggested Citation

  • A.M.A. El Saadany & M.Y. Jaber & M. Bonney, 2011. "Environmental performance measures for supply chains," Management Research Review, Emerald Group Publishing Limited, vol. 34(11), pages 1202-1221, October.
  • Handle: RePEc:eme:mrrpps:v:34:y:2011:i:11:p:1202-1221
    DOI: 10.1108/01409171111178756
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    Citations

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    Cited by:

    1. Battini, Daria & Persona, Alessandro & Sgarbossa, Fabio, 2014. "A sustainable EOQ model: Theoretical formulation and applications," International Journal of Production Economics, Elsevier, vol. 149(C), pages 145-153.
    2. Ala-Harja, Hanne & Helo, Petri, 2014. "Green supply chain decisions – Case-based performance analysis from the food industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 97-107.
    3. Bouchery, Yann & Ghaffari, Asma & Jemai, Zied & Dallery, Yves, 2012. "Including sustainability criteria into inventory models," European Journal of Operational Research, Elsevier, vol. 222(2), pages 229-240.
    4. Smita Rani & Rashid Ali & Anchal Agarwal, 2019. "Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 91-122, March.
    5. Suchitra Pattnaik & Mitali Madhusmita Nayak & Stefano Abbate & Piera Centobelli, 2021. "Recent Trends in Sustainable Inventory Models: A Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    6. Joakim Haraldsson & Maria T. Johansson, 2019. "Energy Efficiency in the Supply Chains of the Aluminium Industry: The Cases of Five Products Made in Sweden," Energies, MDPI, vol. 12(2), pages 1-25, January.
    7. Harpreet Kaur & Surya Prakash Singh, 2019. "Sustainable procurement and logistics for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 309-354, December.
    8. Konur, Dinçer, 2017. "Non-collaborative emission targets joining and quantity flow decisions in a Stackelberg setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 60-82.
    9. Lu, Xin & Shang, Jennifer & Wu, Shin-yi & Hegde, Gajanan G. & Vargas, Luis & Zhao, Daozhi, 2015. "Impacts of supplier hubris on inventory decisions and green manufacturing endeavors," European Journal of Operational Research, Elsevier, vol. 245(1), pages 121-132.
    10. Blanka Tundys & Tomasz Wiśniewski, 2018. "The Selected Method and Tools for Performance Measurement in the Green Supply Chain—Survey Analysis in Poland," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    11. Palak, Gökçe & Ekşioğlu, Sandra Duni & Geunes, Joseph, 2014. "Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 198-216.
    12. Ene, Seval & Küçükoğlu, İlker & Aksoy, Aslı & Öztürk, Nursel, 2016. "A genetic algorithm for minimizing energy consumption in warehouses," Energy, Elsevier, vol. 114(C), pages 973-980.
    13. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    14. Pietro Evangelista & Lodovico Santoro & Antonio Thomas, 2018. "Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016," Sustainability, MDPI, vol. 10(5), pages 1-34, May.
    15. Arıkan, Emel & Jammernegg, Werner, 2014. "The single period inventory model under dual sourcing and product carbon footprint constraint," International Journal of Production Economics, Elsevier, vol. 157(C), pages 15-23.
    16. Hovelaque, Vincent & Bironneau, Laurent, 2015. "The carbon-constrained EOQ model with carbon emission dependent demand," International Journal of Production Economics, Elsevier, vol. 164(C), pages 285-291.
    17. Ala-Harja, Hanne & Helo, Petri, 2015. "Reprint of “Green supply chain decisions – Case-based performance analysis from the food industry”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 11-21.
    18. Islam Shamimul & Karia Noorliza & Fauzi Firdaus Bin Ahmad & Soliman Mohamed, 2017. "A review on green supply chain aspects and practices," Management & Marketing, Sciendo, vol. 12(1), pages 12-36, March.
    19. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    20. Ayşegül Toptal & Bilgesu Çetinkaya, 2017. "How supply chain coordination affects the environment: a carbon footprint perspective," Annals of Operations Research, Springer, vol. 250(2), pages 487-519, March.
    21. Ye, Gui & Yuan, Hongping & Shen, Liyin & Wang, Hongxia, 2012. "Simulating effects of management measures on the improvement of the environmental performance of construction waste management," Resources, Conservation & Recycling, Elsevier, vol. 62(C), pages 56-63.
    22. Khan, Mehmood & Hussain, Matloub & Saber, Hussein M., 2016. "Information sharing in a sustainable supply chain," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 208-214.
    23. Cooper, James & Carliell-Marquet, Cynthia, 2013. "A substance flow analysis of phosphorus in the UK food production and consumption system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 82-100.

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