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Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand

Author

Listed:
  • Smita Rani

    (AKTU University)

  • Rashid Ali

    (AKTU University)

  • Anchal Agarwal

    (Amity University)

Abstract

With the environment deterioration becoming a serious concern, numerous industries have realized that it’s critical to focus on manufacturing with reduced waste and low carbon emission. Studies show that consumers are getting cognizant of environment preservation and prefer low-carbon developed products. It is seen that in some cases, customers are willing to pay even more for products developed using low carbon emission technologies. Furthermore, government initiatives towards going green has resulted in industries focusing on reducing their carbon footprints throughout the supply chain by employing green supply chain methodologies. In this study, we will develop an inventory model for deteriorating items in green supply chain considering recycling, reverse logistics and remanufacturing. Demand is assumed to be carbon dependent. Products are considered to be deteriorating in nature with time dependent deterioration rate. A crisp model is developed to minimize total average cost. In the crisp model, it is assumed that demand, deterioration and returned rate are precisely known. However, in reality these parameters are imprecise in nature. To model this impreciseness, a fuzzy model is developing considering these parameters as triangular fuzzy numbers. Total cost function is defuzzified using signed distance method and is shown to be convex and a unique solution exists. Numerical analysis is carried out for both crisp and fuzzy cases.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:opsear:v:56:y:2019:i:1:d:10.1007_s12597-019-00361-8
    DOI: 10.1007/s12597-019-00361-8
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    References listed on IDEAS

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    1. Klaus CONRAD, 2005. "Price Competition and Product Differentiation when Goods have Network Effects," Industrial Organization 0502002, University Library of Munich, Germany.
    2. 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.
    3. Richter, Knut, 1996. "The extended EOQ repair and waste disposal model," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 443-447, August.
    4. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    5. Liu, Zugang (Leo) & Anderson, Trisha D. & Cruz, Jose M., 2012. "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 218(3), pages 602-613.
    6. S. Du & F. Ma & Z. Fu & L. Zhu & J. Zhang, 2015. "Game-theoretic analysis for an emission-dependent supply chain in a ‘cap-and-trade’ system," Annals of Operations Research, Springer, vol. 228(1), pages 135-149, May.
    7. David A. Schrady, 1967. "A deterministic inventory model for reparable items," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 14(3), pages 391-398.
    8. 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.
    9. Smita Rani & Rashid Ali & Anchal Agarwal, 2017. "Green supply chain inventory model for deteriorating items with variable demand under inflation," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 3(1), pages 50-77.
    10. Yao, Jing-Shing & Chiang, Jershan, 2003. "Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance," European Journal of Operational Research, Elsevier, vol. 148(2), pages 401-409, July.
    11. Vahdani, Behnam & Tavakkoli-Moghaddam, Reza & Modarres, Mohammad & Baboli, Armand, 2012. "Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1152-1168.
    12. Chung, Chun-Jen & Wee, Hui-Ming, 2008. "Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 528-545, June.
    13. Chung, Chun-Jen & Wee, Hui-Ming, 2011. "Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 195-203, January.
    14. Yang, P.C. & Chung, S.L. & Wee, H.M. & Zahara, E. & Peng, C.Y., 2013. "Collaboration for a closed-loop deteriorating inventory supply chain with multi-retailer and price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 143(2), pages 557-566.
    15. Widyadana, Gede Agus & Wee, Hui Ming, 2012. "An economic production quantity model for deteriorating items with multiple production setups and rework," International Journal of Production Economics, Elsevier, vol. 138(1), pages 62-67.
    16. Richter, Knut, 1996. "The EOQ repair and waste disposal model with variable setup numbers," European Journal of Operational Research, Elsevier, vol. 95(2), pages 313-324, December.
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    2. Tapan Kumar Datta & Prasanta Nath & Karabi Dutta Choudhury, 2020. "A hybrid carbon policy inventory model with emission source-based green investments," OPSEARCH, Springer;Operational Research Society of India, vol. 57(1), pages 202-220, March.
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    4. Katherinne Salas-Navarro & Paula Serrano-Pájaro & Holman Ospina-Mateus & Ronald Zamora-Musa, 2022. "Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(10), pages 1-21, May.

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