Fuzzy Linear Programming Models for a Green Logistics Center Location and Allocation Problem under Mixed Uncertainties Based on Different Carbon Dioxide Emission Reduction Methods

Fuzzy Linear Programming Models for a Green Logistics Center Location and Allocation Problem under Mixed Uncertainties Based on Different Carbon Dioxide Emission Reduction Methods

This study explores a foundational logistics center location and allocation problem in a three-stage logistics network that consists of suppliers, logistics centers, and customers. In this study, the environmental sustainability of the logistics network is improved by optimizing the carbon dioxide e...

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Bibliographic Details
Main Authors: Yan Sun, Yue Lu, Cevin Zhang
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sustainability
Subjects:
location and allocation problem
logistics center
carbon dioxide emissions
carbon tax regulation
multi-objective optimization
uncertainties
fuzzy set theory
fuzzy linear programming
fuzzy chance-constrained programming
Online Access:https://www.mdpi.com/2071-1050/11/22/6448

Internet

https://www.mdpi.com/2071-1050/11/22/6448

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