Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers

Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers

The lack of information and hybrid uncertainties in Supply Chain (SC) parameters affect managerial decisions. It is inevitable to consider random uncertainty based on fuzzy scenarios and cognitive uncertainty to model a Sustainable Closed-Loop SC (SCLSC) problem. Using Pentagonal Fuzzy Numbers (PFN...

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Main Authors: Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Mostafa Hajiaghaei-Keshteli, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2024-12-01
Series:Transport
Subjects:
closed-loop supply chain
possibilistic programming
fuzzy scenarios
robust approach
sustainable design
stochastic programming
Online Access:https://tede.vgtu.lt/index.php/Transport/article/view/23099
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