Green consideration in a closed-loop supply chain model with imperfect inspection under learning impact

This study investigates a multi-echelon closed-loop supply chain model integrating learning impact with a single producer, single retailer, and single collector. Retail pricing, green innovation, and marketing efforts are assumed to have a linear relationship with end-user demand. The return of reje...

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Published inJournal of cleaner production Vol. 428; p. 139201
Main Authors Masanta, M., Giri, B.C., Das, P.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 20.11.2023
Subjects
Closed-loop supply chain
Emission reduction
Green innovation
Inspection error
Learning
Remanufacturing
supply chain
sustainable technology
Learning
Emission reduction
Inspection error
Remanufacturing
Closed-loop supply chain
Green innovation
Online AccessGet full text
ISSN0959-6526
1879-1786
DOI10.1016/j.jclepro.2023.139201

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Abstract This study investigates a multi-echelon closed-loop supply chain model integrating learning impact with a single producer, single retailer, and single collector. Retail pricing, green innovation, and marketing efforts are assumed to have a linear relationship with end-user demand. The return of rejected goods occurs at random and is subject to an imperfect inspection procedure that is vulnerable to two different types of classification error. An S-shaped learning curve is considered to soothe the inspection process which is subject to inaccuracy. Numerical examples are used to illustrate the implications of the suggested model in order to achieve a goal that benefits both the consignor and the consignee. It is investigated whether the learning effect can outweigh the loss even when the inspection error has a detrimental effect on supply chain earnings. To identify the crucial parameters that can spark some truly exceptional managerial ideas, a sensitivity analysis is carried out.
AbstractList This study investigates a multi-echelon closed-loop supply chain model integrating learning impact with a single producer, single retailer, and single collector. Retail pricing, green innovation, and marketing efforts are assumed to have a linear relationship with end-user demand. The return of rejected goods occurs at random and is subject to an imperfect inspection procedure that is vulnerable to two different types of classification error. An S-shaped learning curve is considered to soothe the inspection process which is subject to inaccuracy. Numerical examples are used to illustrate the implications of the suggested model in order to achieve a goal that benefits both the consignor and the consignee. It is investigated whether the learning effect can outweigh the loss even when the inspection error has a detrimental effect on supply chain earnings. To identify the crucial parameters that can spark some truly exceptional managerial ideas, a sensitivity analysis is carried out.
ArticleNumber 139201
Author Masanta, M.
Das, P.
Giri, B.C.
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Keywords Learning
Emission reduction
Inspection error
Remanufacturing
Closed-loop supply chain
Green innovation
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Snippet This study investigates a multi-echelon closed-loop supply chain model integrating learning impact with a single producer, single retailer, and single...
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StartPage 139201
SubjectTerms Closed-loop supply chain
Emission reduction
Green innovation
Inspection error
Learning
Remanufacturing
supply chain
sustainable technology
Title Green consideration in a closed-loop supply chain model with imperfect inspection under learning impact
URI https://dx.doi.org/10.1016/j.jclepro.2023.139201
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