Dr. Azam Modares | Supply chain | Best Faculty Award

Management, Ferdowsi university of Mashhad Iran

Azam Modares is an accomplished industrial management expert with a Ph.D. in Industrial Management from Ferdowsi University of Mashhad. Specializing in Operations Research, he has developed a deep understanding of mathematical modeling, system dynamics, and supply chain management. Modares is known for his extensive expertise in areas like machine learning, inventory control, and human reliability. He is also proficient in multiple modeling languages and software tools, including UML, BPMN, Matlab, and Arena. With a passion for teaching, Modares has contributed significantly to academic development, teaching numerous courses related to industrial management, operations research, and project management.

Publication Profile

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🎓 Education

Ph.D. in Industrial Management – Ferdowsi University of Mashhad (Specialization: Operations Research). Master’s in Industrial Management – University of Guilan (Specialization: Production). Bachelor’s in Industrial Management – University of Tehran His academic journey reflects a profound commitment to research and practical application in the field of industrial management, with particular focus on optimizing operations and systems using mathematical and computational methods.

💼 Experience

Azam Modares has an extensive career in both academia and industry. He has taught various courses in industrial management, operations research, and business process management at the undergraduate level. His work also spans the design and implementation of quantitative models and the application of machine learning to solve complex industrial problems. Modares has worked in the development of rule-based inference systems and the analysis of supply chain dynamics. He is proficient in using software like GAMS, Lingo, and SPSS for modeling and statistical analysis.

🏆 Awards & Honors

Modares has received several prestigious awards, including the Best Paper Award in Operations Research, Research Excellence Award for outstanding contributions in academic research, and Best Educator awards for his exceptional teaching in industrial management. He also earned recognition for his leadership in project management and excellence in quantitative modeling and simulation. His accomplishments highlight his deep impact on both academic and practical advancements in industrial management.

🔬 Research Focus

Azam Modares’s research primarily focuses on system dynamics, inventory control, machine learning applications in industrial settings, and equipment and human reliability. He explores business process management and aims to optimize supply chain systems through mathematical and computational modeling. His work addresses real-world industrial challenges, particularly in the design of efficient decision-making systems and the integration of AI technologies into operations research. Modares also investigates rule-based inference systems to improve management processes.

Conclusion

Azam Modares exhibits a well-rounded profile that highlights significant strengths in teaching, technical skills, and research. His robust academic qualifications, coupled with a comprehensive understanding of industrial management and operations research, position him as a strong candidate for the Best Faculty Award. However, improving his research output and enhancing international collaborations could further elevate his standing in the academic community and broaden the impact of his work.

Publication Top Notes

Title: A new supply chain design to solve supplier selection based on internet of things and delivery reliability
Authors: A Modares, M Kazemi, VB Emroozi, P Roozkhosh
Journal: Journal of Industrial and Management Optimization
Volume & Issue: 19 (11), 7993-8028
Year: 2023

Title: A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain
Authors: A Modares, NM Farimani, VB Emroozi
Journal: Journal of Industrial and Management Optimization
Volume & Issue: 19 (5), 3075-3106
Year: 2023

Title: A new model to design the suppliers portfolio in newsvendor problem based on product reliability
Authors: A Modares, NM Farimani, VB Emroozi
Journal: Journal of Industrial and Management Optimization
Volume & Issue: 19 (6), 4112-4151
Year: 2023

Title: Selecting green suppliers by considering the internet of things and CMCDM approach
Authors: V Bafandegan Emroozi, P Roozkhosh, A Modares, F Roozkhosh
Journal: Process Integration and Optimization for Sustainability
Volume & Issue: 7 (5), 1167-1189
Year: 2023

Title: Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making
Authors: A Modares, N Motahari, V Bafandegan Emroozi
Journal: Industrial Management Journal
Volume & Issue: 14 (1), 115-142
Year: 2022

Title: Application of particle swarm optimization algorithm to aggregate production planning
Authors: M Ramazanian, A Modares
Journal: Asian Journal of Business Management Studies
Volume & Issue: 2 (2), 44-54
Year: 2011

Title: A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty
Authors: A Modares, NM Farimani, F Dehghanian
Journal: Journal of Industrial and Management Optimization
Volume & Issue: 20 (1), 188-220
Year: 2024

Title: Evaluate and control the factors affecting the equipment reliability with the approach Dynamic systems simulation, Case study: Ghaen Cement Factory
Authors: A Modares, V Bafandegan Emroozi, Z Mohemmi
Journal: Journal of Quality Engineering and Management
Volume & Issue: 11 (2), 89-106
Year: 2021

Title: A new dynamic model to optimize the reliability of the series-parallel systems under warm standby components
Authors: AMF Saghih, A Modares
Journal: Journal of Industrial and Management Optimization
Volume & Issue: 19 (1), 376-401
Year: 2022

Title: Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran)
Authors: A Modares, N Motahari Farimani, V Bafandegan Emroozi
Journal: Journal of Optimization in Industrial Engineering
Volume & Issue: 16 (1), 129-140
Year: 2023

Title: A new model to optimize the human reliability based on CREAM and group decision making
Authors: V Bafandegan Emroozi, A Modares, P Roozkhosh
Journal: Quality and Reliability Engineering International
Volume & Issue: 40 (2), 1079-1109
Year: 2024

Title: Improving quality and reducing costs in supply chain: The developing VIKOR method and optimization
Authors: VB Emroozi, M Kazemi, A Modares, P Roozkhosh
Journal: Journal of Industrial and Management Optimization
Volume & Issue: 20 (2), 494-524
Year: 2024

Ramesh Kumar :Leading Researcher in Operations and Supply Chain Management

👨‍🏫 Ramesh Kumar , an Prof at Indian Institute of Management Mumbai, India. stands as a distinguished academic and researcher in the Management and Accounting. Holding Doctoral Fellow (PhD) Operations and Supply Chain Management 2017- 2022 Indian Institute of Management Mumbai, India. 🌟Ramesh Kumar is an accomplished Assistant Professor specializing in Operations and Supply Chain Management at the Indian Institute of Management Mumbai, India. With a background in Mechanical Engineering and a profound interest in industrial engineering, Kumar has dedicated his career to academia, research, and practical implementations within the realm of supply chain networks, optimization, simulation modeling, and risk management.

🌐 Professional Profiles:

🎓 Education:

Kumar holds a Doctoral Fellowship (PhD) in Operations and Supply Chain Management from the Indian Institute of Management Mumbai, showcasing an outstanding CGPA of 9.5/10. His academic journey commenced with a Master’s in Industrial & Management Engineering from the National Institute of Technology Jamshedpur, followed by a Bachelor’s in Mechanical Engineering from Chhattisgarh Swami Vivekanand Technical University.

🔍 Research Focus:

With a keen eye on innovation, Kumar’s research spans diverse domains such as supply chain network design, discrete event simulation modeling, optimization methodologies including mixed-integer linear programming, and supply chain risk management. His contributions extend to academia and industry, evident through several publications, conferences, workshops, and seminars.

🏢 Professional Experience:

Kumar’s professional journey includes roles at the Indian Institute of Management Mumbai as an Assistant Professor and previously as a Graduate Technical Intern at Intel Corporation in Bangalore. He has held research positions at esteemed institutions like the Indian Institute of Management Ahmedabad and Alamuri Ratnamala Institute of Engineering and Technology, Mumbai.

📚 Teaching & Academic Contributions:

Demonstrating a commitment to education, Kumar has excelled as an instructor in various subjects, conducting tutorials and workshops at the Indian Institute of Management Mumbai and other educational institutions. His teaching portfolio spans subjects like Supply Chain Management, Optimization, Transportation & Logistics, and Simulation Modeling & Analysis.

📰 Publications & Research Work:

Kumar’s research contributions are exemplified through publications in reputable journals like the International Journal of Production Research and IFAC-PapersOnLine. He has presented extensively at national and international conferences, addressing critical topics such as supply chain disruptions, food grain supply chains, and the impact of COVID-19 on logistics systems.

🛠️ Technical Proficiency:

Equipped with a robust technical skill set encompassing programming languages, simulation software, optimization tools, database management, and data visualization, Kumar leverages his expertise to drive insightful research outcomes and practical solutions.

🏆 Achievements & Affiliations:

His academic achievements include being a recipient of the top-cited article award, securing ranks, and receiving financial assistance during his educational pursuits. Kumar is an active member of esteemed professional bodies such as INFORMS, POMS, IISE, among others.

🎤 Invited Talks & Professional Engagements:

He has been an invited speaker at conferences, workshops, and seminars, sharing expertise on supply chain optimization, digitalization, and the impact of disruptions on food supply chains. Kumar actively engages as a reviewer for prominent journals in his field.

👨‍💼 Recommendations:

Highly regarded by his peers and mentors, Kumar comes highly recommended by Prof. Manoj Kumar Tiwari, Director at Indian Institute of Management Mumbai, and Prof. L Ganapathy, Area Chair of Operations and Supply Chain Management.

Ramesh Kumar’s commitment to academia, impactful research contributions, and proficiency in supply chain management solidify his standing as a distinguished academician and a valuable contributor to the field.

Top Noted Publication:

Impact of COVID-19 on logistics systems and disruptions in food supply chain Published on 2021/4/3 Cited by 842

Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review Published on 2020/6/2 Cited by 63

Scaling up the Digitalization of the Public Distribution System: A COVID-19 Pandemic Impetus Published on 2022/1/1 Cited by 2

Managing COVID-19 Food Supply Chain Disruptions in India: A Case Study of Public Distribution System (preprint) Published on 2022

Managing COVID-19 Food Supply Chain Disruptions in India: A Case Study of Public Distribution System

Azam Modares | Supply chain | Best Faculty Award