Dec 12, 2019 · This study seeks to establish a robust optimal model for CLSC network, considering both uncertainties in quantity and quality of returned products.

This paper proposes a robust optimization model for handling the inherent uncertainty of input data in a closed-loop supply chain network design problem.

This study seeks to establish a robust optimal model for CLSC network, considering both uncertainties in quantity and quality of returned products, ...

Aug 5, 2019 · A mixed integral linear programming (MILP) model for a CLSC network design is established and then translated into a robust optimization model ...

This model takes into consideration the uncertainties in demand and return quantities, as well as the impact of facility disruptions. Additionally, a dual-layer ...

Optimized planning of CLSC network is required and is influenced by uncertainties of recovery. So, this study seeks to establish a robust optimal model for CLSC ...

Oct 22, 2024 · This study provides insightful observations with respect to robust optimization, CLSC network decisions, and carbon emissions. The proposed ...

In this regard, this study develops a multi-echelon multi-objective robust fuzzy closed-loop supply chain network (CLSCN) design model under uncertainty ...

The present study considers a closed-loop supply chain by taking into account sustainability, resilience, robustness, and risk aversion for the first time.

Oct 16, 2019 · Accordingly, this paper studies a multi-echelon, multi-objective robust fuzzy network design problem under uncertainty including plants, ...