Seyyed-Mahdi Hosseini-Motlagh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Seyyed-Mahdi Hosseini-Motlagh has a total of 97 co-authors. Here are the top co-authors by number of shared publications:
- Mohammad Reza Ghatreh Samani
Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
18 shared publications - Maryam Johari
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
13 shared publications Mohammadreza Nematollahi
Univ Quebeca, Sch Management Sci, Montreal, PQ, Canada
13 shared publicationsMohammad Reza Ghatreh Samani
10 shared publicationsJoshua Ignatius
Univ Exeter, Business Sch, Exeter, Devon, England
7 shared publications- Mohammad Mehdi Sepehri
Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
7 shared publications
Latest Publications
- 6 November 2026
- Published by Springer Nature in International Journal of Dynamics and Control
- Vol. 14 (11) , 432
Space-fractional optimal control of nonlocal transport systems using space-time meshfree collocation
- 6 November 2026
- Published by Springer Nature in International Journal of Dynamics and Control
- Vol. 14 (11) , 432
Space-fractional optimal control of nonlocal transport systems using space-time meshfree collocation
- 29 May 2025
- Published by Taylor & Francis in International Journal of Systems Science: Operations & Logistics
- Vol. 12 (1)
Synergetic effect of trade credit for competitive supply chain coordination
- 29 May 2025
- Published by Taylor & Francis in International Journal of Systems Science: Operations & Logistics
- Vol. 12 (1)
Synergetic effect of trade credit for competitive supply chain coordination
- 30 January 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Engineering Management
- Vol. 72 (00189391) , 591-603
Impact of Blockchain Technology on Social Aspects of Blood Supply Chain: A Simulation–Optimization Approach
Previous studies related to the blood supply chain under blockchain technology have concentrated solely on the managerial role of blockchain technology in this chain, and no systematic examination has been conducted using quantitative modeling methods. This study focuses on developing a blood supply chain based on blockchain technology using a simulation-optimization approach that integrates optimization techniques into simulation modeling and analysis for the first time. In the system dynamics approach, by examining factors such as service quality, and social aspects that impact donors' behavior, the main decisions, including the total amount of platelets that are distributed to all hospitals and the number of donors, are simulated under blockchain technology. Various policies are explored to evaluate their effect on the blood supply and demand. Then, this study introduces a bi-objective mathematical model utilizing Data Envelopment Analysis (DEA) to optimize the fair distribution of platelets to hospitals based on their efficiency. The outputs of the dynamics model (total platelets distributed to hospitals) and the DEA model (efficiency of selected hospitals) are entered into the bi-objective model as parameters. The integration of blockchain technology allows managers to improve traceability at every stage, and the system with blockchain technology increases donor participation by 6%, 3%, and 12%.
- 30 January 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Engineering Management
- Vol. 72 (00189391) , 591-603
Impact of Blockchain Technology on Social Aspects of Blood Supply Chain: A Simulation–Optimization Approach
Previous studies related to the blood supply chain under blockchain technology have concentrated solely on the managerial role of blockchain technology in this chain, and no systematic examination has been conducted using quantitative modeling methods. This study focuses on developing a blood supply chain based on blockchain technology using a simulation-optimization approach that integrates optimization techniques into simulation modeling and analysis for the first time. In the system dynamics approach, by examining factors such as service quality, and social aspects that impact donors' behavior, the main decisions, including the total amount of platelets that are distributed to all hospitals and the number of donors, are simulated under blockchain technology. Various policies are explored to evaluate their effect on the blood supply and demand. Then, this study introduces a bi-objective mathematical model utilizing Data Envelopment Analysis (DEA) to optimize the fair distribution of platelets to hospitals based on their efficiency. The outputs of the dynamics model (total platelets distributed to hospitals) and the DEA model (efficiency of selected hospitals) are entered into the bi-objective model as parameters. The integration of blockchain technology allows managers to improve traceability at every stage, and the system with blockchain technology increases donor participation by 6%, 3%, and 12%.