2022
DOI: 10.1080/17509653.2022.2055672
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A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, the coffee industry case study

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Cited by 25 publications
(13 citation statements)
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“…Coffee grounds waste can be toxic to the environment due to its caffeine, tannins, polyphenols, and carbon (Torabzadeh et al, 2022;.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%
“…Coffee grounds waste can be toxic to the environment due to its caffeine, tannins, polyphenols, and carbon (Torabzadeh et al, 2022;.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%
“…To better manage a supply chain network, Rabbani et al (2020) presented a multi-objective mathematical model by considering customer prioritization and uncertainty and three aspects of sustainability (social, economic and environmental). Torabzadeh et al (2022) proposed a dynamic multi-objective green supply chain network for perishable products under uncertainty. Eskandarpour et al (2021) proposed a mixed-integer linear programming (MILP) model for designing a sustainable supply chain network by considering sustainability's economic and environmental aspects.…”
Section: Pharmaceuticalmentioning
confidence: 99%
“…(2020) presented a multi-objective mathematical model by considering customer prioritization and uncertainty and three aspects of sustainability (social, economic and environmental). Torabzadeh et al . (2022) proposed a dynamic multi-objective green supply chain network for perishable products under uncertainty.…”
Section: Literature Reviewmentioning
confidence: 99%
“…First, the ε-constraint approach is explained, and then, the augmented ε-constraint method is defined. Contrary to many standard techniques used in this field, such as the weighting method, ɛ-constraint is among the most common and efficient multi-objective approaches that do not require assigning weight to objective functions and scaling them (Jabbarzadeh et al, 2018 ; Torabzadeh et al, 2022 ).…”
Section: Proposed Momilpmentioning
confidence: 99%