The Impact of Carbon Tax Policy in a Multi-Objective Green Solid Logistics Modelling Under Sustainable Development

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dc.contributor.author Das, Soumen Kumar
dc.contributor.author Roy, Sankar Kumar
dc.date.accessioned 2023-01-19T10:02:20Z
dc.date.available 2023-01-19T10:02:20Z
dc.date.issued 2022
dc.identifier.isbn 9789811677229
dc.identifier.isbn 9789811677236 (eBook)
dc.identifier.uri https://mcc-idr.l2c2academy.co.in/xmlui/handle/123456789/571
dc.description Book Chapters en_US
dc.description.abstract In the last few decades, worldwide atmosphere change has become out to be one of the most significant environmental issues. Carbon emissions and air pollution have motivated a need to design an effective and sustainable logistics network. As a result, environmental policies are included in the transportation system to reconsider and re-structure a greenway distribution network. This chapter addresses a multi-objective optimization problem to design a solid logistics modelling in a green framework. The objectives of the stated problem are as follows: (a) to minimize the total financial costs along with carbon emissions cost, (b) to maximize the customers’ satisfaction level simultaneously, and (c) to maximize the sustainable effectiveness conveyances.Amulti-objective optimization procedure, namely, global criterion method is introduced to extract a non-dominated solution to the proposed problem. Two numerical examples test the formulatedmodel and solution procedure. A comparative study among the proposed procedure and the other existing relevant procedures is also presented. Concluding remarks are discussed at last. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Solid logistics modelling en_US
dc.subject Carbon emissions en_US
dc.subject Carbon tax policy en_US
dc.subject Sustainable development en_US
dc.subject Multi-objective optimization en_US
dc.title The Impact of Carbon Tax Policy in a Multi-Objective Green Solid Logistics Modelling Under Sustainable Development en_US
dc.type Book chapter en_US


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