A customized multi-neighborhood search algorithm using the tabu list for a sustainable closed-loop supply chain network under uncertainty

P Seydanlou, M Sheikhalishahi… - Applied Soft …, 2023 - Elsevier
Environmental pollution and social inequalities have prompted the agricultural industry to
implement sustainable supply chain management practices. However, supply chain …

A robust optimization approach for multi-objective, multi-product, multi-period, closed-loop green supply chain network designs under uncertainty and discount

J Ghahremani Nahr, SHR Pasandideh… - Journal of industrial …, 2020 - Taylor & Francis
One of the basic requirements of the companies to survive in real-world competitive
environments is to make their supply chains as efficient as possible. Due to recent …

A novel sustainable multi-objective optimization model for forward and reverse logistics system under demand uncertainty

N Zarbakhshnia, D Kannan, R Kiani Mavi… - Annals of Operations …, 2020 - Springer
The paper aims to present a multi-product, multi-stage, multi-period, and multi-objective,
probabilistic mixed-integer linear programming model for a sustainable forward and reverse …

A robust optimization model to design an IoT-based sustainable supply chain network with flexibility

A Goli, E Babaee Tirkolaee, AM Golmohammadi… - … European Journal of …, 2023 - Springer
Supply chain network design is one of the most important issues in today's competitive
environment. Moreover, the ratio of transportation costs to the income of manufacturing …

Designing a sustainable reverse supply chain network for COVID-19 vaccine waste under uncertainty

EA Bani, A Fallahi, M Varmazyar, M Fathi - Computers & Industrial …, 2022 - Elsevier
The vast nationwide COVID-19 vaccination programs are implemented in many countries
worldwide. Mass vaccination is causing a rapid increase in infectious and non-infectious …

A stochastic disaster-resilient and sustainable reverse logistics model in big data environment

S Mishra, SP Singh - Annals of Operations Research, 2022 - Springer
In this paper, a mixed-integer linear programming model is discussed to provide joint
decision making for facility location and production–distribution across countries for both …

A multi-objective closed-loop supply chain under uncertainty: An efficient Lagrangian relaxation reformulation using a neighborhood-based algorithm

SM Ali, AM Fathollahi-Fard, R Ahnaf… - Journal of Cleaner …, 2023 - Elsevier
Population growth and unprecedented industrialization have contributed to a significant
surge in global waste generation, underscoring the need for efficient waste management …

A hybrid decision-making method using robust programming and interval-valued fuzzy sets for sustainable-resilient supply chain network design considering circular …

N Foroozesh, B Karimi, SM Mousavi… - Journal of Industrial …, 2023 - Elsevier
This study introduces a new three-stage optimization approach with a circular economy
perspective for sustainable-resilient supply chain network design for perishable products …

Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods

M Yavari, M Geraeli - Journal of Cleaner Production, 2019 - Elsevier
In the current study, a green closed-loop supply chain network design for perishable
products is investigated under uncertain conditions. The demands, rate of return and the …

Regional multimodal logistics network design considering demand uncertainty and CO2 emission reduction target: A system-optimization approach

J Jiang, D Zhang, Q Meng, Y Liu - Journal of Cleaner Production, 2020 - Elsevier
This paper investigates an interesting regional multimodal logistics network design problem
with CO 2 emission reduction target and uncertain demands in the context of urban cluster …