Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

M Seyedan, F Mafakheri - Journal of Big Data, 2020 - Springer
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

[HTML][HTML] Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda

S Bhattacharya, K Govindan, SG Dastidar… - … Research Part E …, 2024 - Elsevier
In this paper, we present a systematic literature review of the applications of Artificial
Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased …

[HTML][HTML] An innovative machine learning model for supply chain management

H Lin, J Lin, F Wang - Journal of Innovation & Knowledge, 2022 - Elsevier
Supply chain management (SCM) integrates all links and business processes involved in
the supply chain through the information management system. Applying artificial intelligence …

Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design

S Nayeri, MM Paydar, E Asadi-Gangraj… - Computers & Industrial …, 2020 - Elsevier
Nowadays, the importance of sustainable development has persuaded the supply chain
managers to shift their network to sustainable supply. This research develops a multi …

Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles

K Govindan, H Gholizadeh - Transportation Research Part E: Logistics and …, 2021 - Elsevier
With new global regulations on supply chains (SCs), sustainable regulation mechanisms
have become subject to controversy. The intention is to create and expand green and …

Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations and heuristics

H Soleimani, P Chhetri, AM Fathollahi-Fard… - Annals of Operations …, 2022 - Springer
Research on the development of sustainable supply chain models is highly active
nowadays. Merging the concept of supply chain management with sustainable development …

Preventive maintenance for the flexible flowshop scheduling under uncertainty: A waste-to-energy system

H Gholizadeh, H Fazlollahtabar… - … Science and Pollution …, 2021 - Springer
Nowadays, an efficient and robust plan for maintenance activities can reduce the total cost
significantly in the equipment-driven industry. Maintenance activities are directly associated …

Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers

A Aliahmadi, J Ghahremani-Nahr, H Nozari - Expert Systems with …, 2023 - Elsevier
In this paper, a multi-echelon closed-loop supply chain network is modeled considering
pricing decisions and queuing system under uncertainty. The mathematical model's …

A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty

Z Homayouni, MS Pishvaee, H Jahani… - Annals of Operations …, 2023 - Springer
Adoption of carbon regulation mechanisms facilitates an evolution toward green and
sustainable supply chains followed by an increased complexity. Through the development …

Robust optimization and modified genetic algorithm for a closed loop green supply chain under uncertainty: Case study in melting industry

H Gholizadeh, H Fazlollahtabar - Computers & Industrial Engineering, 2020 - Elsevier
Today, due to the increasing environmental hazards and governmental regulations, as well
as the limitation of sources of production, researchers have paid special attention to the …