2022
DOI: 10.1016/j.clet.2022.100400
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A sustainable dual-channel inventory model with trapezoidal fuzzy demand and energy consumption

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Cited by 16 publications
(6 citation statements)
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“…In addition to them, some other studies considered trapezoidal fuzzy sets in the models to minimize uncertainties in the analysis process. Within this framework, Priyan et al [62], Wu et al [63] and Sharma et al [64] used these fuzzy sets to identify key determinants of energy efficiency and energy storage effectiveness.…”
Section: B Literature On Factor Priority Analysis Techniquesmentioning
confidence: 99%
“…In addition to them, some other studies considered trapezoidal fuzzy sets in the models to minimize uncertainties in the analysis process. Within this framework, Priyan et al [62], Wu et al [63] and Sharma et al [64] used these fuzzy sets to identify key determinants of energy efficiency and energy storage effectiveness.…”
Section: B Literature On Factor Priority Analysis Techniquesmentioning
confidence: 99%
“…Increasing ecological alertness has provoked scholars in the feld of inventory management to develop sustainable SC models that adapt for CO 2 . Te efect of CO 2 on inventory decisions has been greatly observed and linked to numerous key issues, including CO 2 legislation ( [7,[35][36][37][38][39][40]), green investment ( [41][42][43][44][45][46][47][48][49][50]), and other SC activities. Lu et al [36] took into consideration a GSC that encompasses material supply, producer production and delivery, and retailer ordering and sales to provide a cross-border production-inventory model for decaying goods under various CO 2 policy mixtures.…”
Section: Sustainable Supply Chain With Co 2 Regulation and Greenmentioning
confidence: 99%
“…A model for controlled emissions under fuzzy demand and energy consumption has been developed by Priyan et al [26] using a sustainable dual-channel vendor-buyer supply chain. The objective is to achieve a balance between cost and emissions as well as a sustainable plan for managing both physical and digital orders.…”
Section: Literature Reviewmentioning
confidence: 99%