Applying fuzzy multiobjective integrated logistics model to green supply chain problems

DOI10.1155/2014/767095zbMath1442.90013DBLPjournals/jam/ChiuLY14OpenAlexW2121141290WikidataQ59052310 ScholiaQ59052310MaRDI QIDQ2336697

Yanyan Li

Publication date: 19 November 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/767095

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

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Cites Work

• An interactive fuzzy satisficing method for multiobjective linear fractional programming problems
• Linear programming with multiple fuzzy goals
• On finding compromise solutions in multicriteria problems using the fuzzy min-operator
• Compensatory operators in fuzzy linear programming with multiple objectives
• Fuzzy programming and linear programming with several objective functions
• Fuzzy linear programming and applications
• A fuzzy echelon approach for inventory management in supply chains.
• Portfolio selection based on fuzzy probabilities and possibility distributions
• DESCRIPTION AND OPTIMIZATION OF FUZZY SYSTEMS
• Integrated inventory models with fuzzy annual demand and fuzzy production rate in a supply chain
• Decision-Making in a Fuzzy Environment
• Possibilistic linear programming with triangular fuzzy numbers

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