The proposed study addresses a two-echelon sustainable supply chain (SC) model with a single-vendor and a single-buyer by considering the detrimental impacts of environmental pollution due to production. Moreover, an estimation function of pollution measure due to production is developed through a separate modelling. In the entire supply chain, we assume the deterioration rate increases with time and it also depends on the product’s expiration date. On the other hand, the demand for deteriorating items at the buyer’s end is assumed to be the dense fuzzy number because of learning effect. The model is developed by defining the exact profit functions for the vendor, the buyer and the entire supply chain and solved by classical method. These lead to the determination of individual optimal policies, as well as the optimal policy for the joint integrated supply chain. Fuzzifying the final objective function via dense fuzzy rule, we have employed extended ranking procedure for its defuzzification. A comparative study on numerical illustration of the proposed objective function under centralized and decentralized policies in both crisp and dense fuzzy environment has also been studied to validate the model. Finally graphical illustrations and sensitivity analysis have been made for its global justifications.
Keywords: Supply chain, inventory, expiry date, dense fuzzy set, learning effect
@article{RO_2022__56_1_475_0,
author = {Choudhury, Mukunda and De, Sujit Kumar and Mahata, Gour Chandra},
title = {Inventory decision for products with deterioration and expiration dates for pollution-based supply chain model in fuzzy environments},
journal = {RAIRO. Operations Research},
pages = {475--500},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {1},
doi = {10.1051/ro/2022016},
mrnumber = {4388785},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022016/}
}
TY - JOUR AU - Choudhury, Mukunda AU - De, Sujit Kumar AU - Mahata, Gour Chandra TI - Inventory decision for products with deterioration and expiration dates for pollution-based supply chain model in fuzzy environments JO - RAIRO. Operations Research PY - 2022 SP - 475 EP - 500 VL - 56 IS - 1 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022016/ DO - 10.1051/ro/2022016 LA - en ID - RO_2022__56_1_475_0 ER -
%0 Journal Article %A Choudhury, Mukunda %A De, Sujit Kumar %A Mahata, Gour Chandra %T Inventory decision for products with deterioration and expiration dates for pollution-based supply chain model in fuzzy environments %J RAIRO. Operations Research %D 2022 %P 475-500 %V 56 %N 1 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022016/ %R 10.1051/ro/2022016 %G en %F RO_2022__56_1_475_0
Choudhury, Mukunda; De, Sujit Kumar; Mahata, Gour Chandra. Inventory decision for products with deterioration and expiration dates for pollution-based supply chain model in fuzzy environments. RAIRO. Operations Research, Tome 56 (2022) no. 1, pp. 475-500. doi: 10.1051/ro/2022016
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