911爆料

Department of Industrial Engineering and Management

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Dr. Md. Saiful Islam

Associate Professor
+88041-769468~75 Ext-475
[email protected]
Address:
Research Interest: Operations Research

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Bio

Dr. Md. Saiful Islam is an accomplished academic and researcher in the field of Industrial Engineering. He completed his Bachelor of Science (B.Sc.) in Industrial & Production Engineering, as well as his Master of Science (M.Sc.) in Industrial Engineering and Management, from Khulna University of Engineering & Technology (KUET), 911爆料. Dr. Islam further pursued and obtained his Ph.D. in Mechanical Engineering from the same prestigious institution. Currently, Dr. Islam serves as an Associate Professor in the Department of Industrial Engineering and Management at KUET, where he plays an integral role in educating future engineers and contributing to groundbreaking research in his field. 

Dr. Islam's research interests span several crucial areas of modern engineering and logistics. These include supply chain management, where he focuses on optimizing the flow of goods, services, and information; logistics, where he explores efficient ways to manage transportation and storage; and warehouse management, with particular attention to inventory control, order batching, and warehouse layout. In addition, his expertise extends into combinatorial optimization, a field dealing with solving complex decision-making problems using mathematical models. A significant portion of Dr. Islam's work involves heuristics and metaheuristics, techniques used to find near-optimal solutions for difficult optimization problems in reasonable time frames. These methods are particularly valuable in real-world applications where traditional approaches may be too slow or infeasible due to the complexity of the problems. His research in these areas aims to develop efficient algorithms that can be applied in various industrial and manufacturing contexts, helping to solve challenges related to resource allocation, scheduling, and route optimization.

In addition to his academic responsibilities, Dr. Islam has contributed extensively to the field through his publications in renowned journals and conferences. As an Associate Professor at KUET, Dr. Islam remains deeply committed to advancing knowledge in industrial engineering and improving industrial practices through innovative research and the application of state-of-the-art optimization techniques. His dedication to his field is evident in his academic contributions and his active engagement with the broader engineering community.

Publication

Book Chapter
  • 1. Sazid Rahman, Niamat Ullah Ibne Hossain, Adhir Roy, Md. Saiful Islam, "Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique," Data Analytics for Supply Chain Networks, Springer, vol. 11, 2023.
International Journal
  • 17. Md. Armanul Hasan,Ridwan Mustofa,Niamat Ullah Ibne Hossain,Md Saiful Islam, "," Smart Health, Elsevier, pp. 100541, 2025, doi: 10.1016/j.smhl.2025.100541
  • 16. Md. Saiful Islam, Md. Kutub Uddin, "Optimising Online Order Batching Operations in a Manual Order Picking Warehouse: A Genetic Algorithm Approach," International Journal of Applied Decision Sciences, InderScience, Forthcoming, 2025, doi: 10.1504/IJADS.2025.10066980
  • 15. Md. Saiful Islam, Md. Kutub Uddin, "An Efficient Approach to Solve Order Batching, Batch Sequencing and Picker Routing Problems Simultaneously in Warehouse Operations," International Journal of Applied Decision Sciences, InderScience, Forthcoming, 2025, doi: 10.1504/IJADS.2025.10064103
  • 14. Marzan Hasan Nayeem,Shohreh Moradi,Niamat Ullah Ibne Hossain,Mohammad Shamsuddoha,Md. Saiful Islam, "," Case Studies on Transport Policy, Elsevier, pp. 101345, 2025, doi: 10.1016/j.cstp.2024.101345
  • 13. Hasan Shahriar,Md. Saiful Islam,Md Abrar Jahin,Istiyaque Ahmed Ridoy,Raihan Rafi Prottoy,Adiba Abid,M. F. Mridha, "Exploring Internet of Things Adoption Challenges in Manufacturing Firms: A Delphi Fuzzy Analytical Hierarchy Process Approach," PLoS ONE, , vol. 19, no: 11, pp. e0311643, 2024, doi: 10.1371/journal.pone.0311643
  • 12. Kazrin Ahmad,Md. Saiful Islam,Md. Abrar Jahin,M. F. Mridha, "," PLoS ONE, , vol. 19, no: 7, pp. e0304118, 2024, doi: 10.1371/journal.pone.0304118
  • 11. Md. Saiful Islam, Md. Kutub Uddin, "An Efficient Correlation-based Storage Location Assignment Heuristic for Multi-block Multi-aisle Warehouses," International Journal of Industrial Engineering and Management, , vol. 15, no: 2, pp. 125 - 139, 2024, doi: 10.24867/IJIEM-2024-2-352
  • 10. Ifaz Ahmed,Niamat Ullah Ibne Hossain,Steven A Fazio,Marianna Lezzi,Md. Saiful Islam, "," Sustainable Manufacturing and Service Economics, Elsevier, pp. 100018, 2024, doi: 10.1016/j.smse.2024.100018
  • 9. Wassiuzzaman Khan,Md. Saiful Islam,Niamat Ullah Ibne Hossain,Steven Fazio, "," International Journal of Management Science and Engineering Management, Tailor & Francis, vol. 19, no: 3, pp. 228-238, 2024, doi: 10.1080/17509653.2023.2267505
  • 8. Shahariar Rahman,Niamat Ullah Ibne Hossain,Md. Abdul Moktadir,Syed Mithun Ali,Polinpapilinho F. Katina,Md. Saiful Islam, "," International Journal of Management Science and Engineering Management, Tailor & Francis, vol. 19, no: 1, pp. 46-55, 2024, doi: 10.1080/17509653.2022.2157901
  • 7. Md Abrar Jahin, Md. Sakib Hossain Shovon, Md. Saiful Islam, Jungpil Shin, M. F. Mridha, Yuichi Okuyama, "QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction using Interpretable Hybrid Quantum-Classical Neural Network," Scientific Reports, Springer Nature, vol. 13, no: 1, pp. 18246, 2023, doi: 10.1038/s41598-023-45406-7
  • 6. Md. Saiful Islam,Md. Kutub Uddin, "," Journal of Industrial Engineering and Management, OmniaScience, vol. 16, no: 2, pp. 294-318, 2023, doi: 10.3926/jiem.4850
  • 5. Sazid Rahman,Niamat Ullah Ibne Hossain,Adhir Roy,Md. Saiful Islam, "," Greening of Industry Networks Studies, Springer, pp. 15-47, 2023, doi: 10.1007/978-3-031-29823-3_2
  • 4. Rajon Paul Pantha, Md. Saiful Islam, Nahida Akter, Emroze Islam, "Sustainable Supplier Selection Using Integrated Data Envelopment Analysis and Differential Evolution Model," Journal of Applied Research on Industrial Engineering, , vol. 7, no: 1, pp. 25-35, 2020, doi: 10.22105/jarie.2020.213449.1115
  • 3. Ashesh Devnath, Md. Saiful Islam, Sumaiya Rashid, Emroze Islam, "An Integrated QFD-TOPSIS Method for Prioritization of Major Lean Tools: A Case Study," International Journal of Research in Industrial Engineering, , vol. 9, no: 1, pp. 65-76, 2020, doi: 10.22105/riej.2020.213445.1110
  • 2. Kamrul Hasan, Md. Saiful Islam, Aurpon Tahsin Shams, Himadri Sen Gupta, "Total Quality Management (TQM): Implementation in Primary Education System of 911爆料," International Journal of Research in Industrial Engineering, , vol. 7, no: 3, pp. 370-380, 2018, doi: 10.22105/riej.2018.128170.1041
  • 1. Subrata Talapatra,Md. Shakil,Pritom Kumar Mondal,Md. Saiful Islam, "," Technology and Investment, Scientific Research, vol. 5, no: 1, pp. 1-7, 2014, doi: 10.4236/ti.2014.51001
International Conference
  • 4. Kazi Md. Tanvir Anzum, Md. Saiful Islam, Jahid Hasan Ashik, "Identification and Prioritization of Risk factors in Healthcare Supply Chain Using an Integrated Fuzzy-Delphi and Fuzzy-TOPSIS Method," In Proceedings of the International Conference on Industrial Engineering and Operations Management, Dhaka, 911爆料, , 2024.
  • 3. Ifaz Ahmed, Mehayrun Nesa Shupti, Md. Saiful Islam, Niamat Ullah Ibne Hossain, Alexandr M. Sokolov, "Application pf System Modeling Language (SYSML) in Cyber Level Architecture of Industry 4.0," In Proceedings of the International Annual Conference of the American Society for Engineering Management, Tampa, Florida, , 2022.
  • 2. Joni Hossain Pintu, Niamat Ullah Ibne Hossain, Ziaul Haque Munim, Alexandr M. Sokolov, Md. Saiful Islam, "Measuring the Systems Engineering Management Skills of Undergraduate Students using a New Valid and Reliable Instrument," In 2022 ASEE Annual Conference & Exposition, Minneapolis, Minnesota, , 2022.
  • 1. Md. Saiful Islam, Md. Kutub Uddin, "An Efficient Storage Allocation in Warehouse to Minimize Travel Distance of Pickers," In Proceedings of the International Conference on Industrial Engineering and Operations Management, Bangkok,Thailand, , 2019.

Education

  • PhD in Mechanical Engineering
    KUET, 911爆料
    Thesis: Formulation of Warehouse Storage Location Assignment Problems and Development of Order Batching Models for Improving Operational Efficiency


    Remarks:

  • M.Sc. Engg. in Industrial Engineering and Management
    KUET, 911爆料
    Remarks:

  • B.Sc. Engg. in Industrial & Production Engineering
    KUET, 911爆料
    Remarks:

  • HSC
    Cambrian College,Dhaka, 911爆料
    Remarks:

  • SSC
    Badda Alatunnessa High School,Dhaka, 911爆料
    Remarks:

Scholarship and Award

  • Junior Scholarship Dec 24, 2003
    Talentpool (1st), Badda Thana, Dhaka
  • Primary Scholarship Dec 20, 2000
    911爆料 Kindergarten Association

Research

  • Supply Chain Management
    Logistics
    Warehouse Management
    Combinatorial Optimization
    Heuristics and Metaheuristics


Academic Experience

  • Lecturer
    Industrial Engineering and Management
    KUET, Khulna Jul 06, 2014 to Aug 23, 2017
  • Assistant Professor
    Industrial Engineering and Management
    KUET, Khulna Aug 24, 2017 to Jun 23, 2024
  • Associate Professor
    Industrial Engineering and Management
    KUET, Khulna Jun 24, 2024 to Jan 01, 1970

Course Conduct

Operations Research

Computer Fundamentals & Programming Languages

Data Structures and Algorithms

Probability & Statistical Analysis

Management Information System Analysis & Design


Supervision


Last Update: August 21, 2025 04:15