A novel data-driven rolling horizon production planning approach for the plastic industry under the uncertainty of demand and recycling rate DOI Creative Commons
Razieh Larizadeh, Babak Mohamadpour Tosarkani

Expert Systems with Applications, Год журнала: 2024, Номер 263, С. 125728 - 125728

Опубликована: Ноя. 12, 2024

Язык: Английский

Designing a sustainable supply chain for battery PVC cases: A multi-objective optimization approach DOI Creative Commons
Mahmoud Tajik, Babak Mohamadpour Tosarkani, Ahmad Makui

и другие.

Computers & Industrial Engineering, Год журнала: 2024, Номер 193, С. 110245 - 110245

Опубликована: Май 23, 2024

Язык: Английский

Процитировано

4
A Multi-Echelon globalized Agro-Industrial supply chain under conditions of Uncertainty: A Two-Stage Fuzzy-Possibilistic Mixed-Integer linear programming model DOI
Alexander Garrido, Leopoldo Eduardo Cárdenas‐Barrón, Óscar Yecid Buitrago Suescún

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126569 - 126569

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Digitalization-driven Circular Economy in Battery Closed-Loop Supply Chain Network Design DOI Creative Commons
Mahmoud Tajik, Samuel Yousefı, Babak Mohamadpour Tosarkani

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145054 - 145054

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Balanced uncertainty sets for Closed-Loop supply chain Design: A Data-Driven robust optimization framework with Fairness considerations DOI Creative Commons
Yuchen Zhao, Mohsen Roytvand Ghiasvand, Babak Mohamadpour Tosarkani

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127170 - 127170

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
A fuzzy robust optimization model for dual objective forward and reverse logistics networks considering carbon emissions DOI Creative Commons
Yuhui Shi,

Botang Li,

Maxim A. Dulebenets

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0316197 - e0316197

Опубликована: Март 11, 2025

The inherent unpredictability within the low-carbon integrated supply chain logistics network complicates its management. This paper endeavours to address challenge of designing a context uncertainty and with consideration policies. It also identify locations facilities appropriate transportation routes between nodes. Robust optimisation fuzzy programming techniques are employed examine various attributes network. In addition, strategic planning model multi-level forward/reverse integration is examined, aims cost minimisation emission reduction. Extensive computational simulations substantiate efficacy proposed robust model. Moreover, analytical results indicate rationality applicability decisions suggested by solution approach. Furthermore, that decision maker can ascertain derived from three cases considered have 50% probability being most favourable outcomes.

Язык: Английский

Процитировано

0
A Multi-Objective Optimization Approach for Sustainable Management of Computers E-Waste in a Closed-Loop Supply Chain Network DOI Creative Commons
Juan Luis Acero Díaz, Saman Hassanzadeh Amin

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145494 - 145494

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
A novel data-driven rolling horizon production planning approach for the plastic industry under the uncertainty of demand and recycling rate DOI Creative Commons
Razieh Larizadeh, Babak Mohamadpour Tosarkani

Expert Systems with Applications, Год журнала: 2024, Номер 263, С. 125728 - 125728

Опубликована: Ноя. 12, 2024

Язык: Английский

Процитировано

0