Research Interests and Activities
Research Interests:
Reverse Engineering
Metrology
Supply chain design
Decision Sciences
Additive manufacturing
Sustainability
Publications (Journals)
Siraj, M. T., Debnath, B., Kumar, A., Bari, A. M., Samadhiya, A., & Payel, S. B. (2023). Evaluating barriers to sustainable boiler operation in the apparel manufacturing industry: Implications for mitigating operational hazards in the emerging economies. Plos one, 18(4), e0284423.
Highlights:
Determining the critical barriers to sustainable boiler operation in the apparel manufacturing industry of Bangladesh.
Developing a stratified ranking and categorization of the specified barriers to assist professionals and decision-makers in reducing the adverse impacts of these barriers.
Employing a fuzzy DEMATEL-based framework to assess the causal linkages among the barriers.
Conducting a sensitivity assessment to validate the viability of the presented methodology.
Guiding inspectors, authorities, and policymakers of emerging economies in strategically ensuring sustainable operations in the apparel manufacturing sector.
Debnath, B., Shakur, M. S., Bari, A. M., & Karmaker, C. L. (2023). A Bayesian Best–Worst approach for assessing the critical success factors in sustainable lean manufacturing. Decision Analytics Journal, 6, 100157.
Highlights:
A Bayesian Best–Worst method framework has been proposed for group decision-making.
The study explores critical success factors for sustainable lean manufacturing implementation.
The most significant critical success factors are the sustainable utilization and management of resources.
The findings facilitate the implementation of sustainable lean manufacturing and promote a sustainable future.
Akter, S., Debnath, B., & Bari, A. M. (2022). A grey decision-making trial and evaluation laboratory approach for evaluating the disruption risk factors in the Emergency Life-Saving Drugs supply chains. Healthcare Analytics, 2, 100120.
Highlights:
The study evaluates the supply chain (SC) disruption risk factors (RFs) in the emergency life-saving drugs (ELSD) industry.
An integrated Grey DEMATEL approach is utilized to evaluate the identified RFs.
A sensitivity analysis is performed to ensure the robustness of the study.
Financial and economic risk is the most critical RF.
Findings are expected to help managers to mitigate potential SC risks in the ELSD industry.
Debnath, B., Shakur, M. S., Tanjum, F., Rahman, M. A., & Adnan, Z. H. (2022). Impact of Additive Manufacturing on the Supply Chain of Aerospace Spare Parts Industry—A Review. Logistics, 6(2), 28.
Highlights:
States of the supply chain scenario in additive manufacturing (AM) of spare parts
Basis for selecting a particular AM supply chain strategy in Aircraft’s spare parts industry
Changes in spare parts of the aerospace industry through AM
Trending strategies in the aircraft industry’s spare part supply chain
Industry 4.0 in different aspects of spare parts manufacturing
Major challenges, constraints, and considerations to use in the aerospace spare parts industry
Debnath, B., Bari, A. M., Haq, M. M., de Jesus Pacheco, D. A., & Khan, M. A. (2023). An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in the healthcare supply chains. Supply Chain Analytics, 1, 100001.
Highlights:
Identifying the essential SSS criteria, which need to be considered while selecting the most suitable sustainable supplier for a healthcare testing facility.
Creating an integrated decision-making framework by combining the SWARA and WASPAS methods.
Comparing the obtained results with some other popular MCDM techniques to support the presented framework's viability.
Shedding light on the implications of the proposed research from theoretical, practical, and sustainability perspectives.
Debnath, B., Bari, A. M., Ali, S. M., Ahmed, T., Ali, I., & Kabir, G. (2023). Modelling the barriers to sustainable waste management in the plastic-manufacturing industry: An emerging economy perspective. Sustainability Analytics and Modeling, 3, 100017.
Highlights:
Study examines the significant barriers to SWM in plastic manufacturing industries.
Delphi and Grey DEMATEL methods have been used here to analyze the barriers.
Lack of awareness and knowledge about waste disposal is the most influential barrier.
Findings are expected to help the managers to develop plans to overcome the barriers.
Debnath, B., Bari, A. M., de Jesus Pacheco, D. A., & Karmaker, C. L. (2023). An integrated Best-Worst Method and Interpretive Structural Modeling approach for assessing the barriers to circular economy implementation. Decision Analytics Journal, 100250.
Highlights:
Explore the barriers to implementing the circular economy in the electronics manufacturing industry.
Prioritize the barriers in an emerging economy using the best-worst method.
Investigates the interrelationships among the barriers using interpretive structural modeling and MICMAC.
The need for high initial investment costs appears to be the most crucial barrier.
Limon, M. H., Debnath, B., & Bari, A. M. (2023). Exploration of the Drivers Influencing the Growth of Hybrid Electric Vehicle Adoption in the Emerging Economies: Implications Towards Sustainability and Low-Carbon Economy. Sustainable Operations and Computers.
Highlights:
Study analyzes the drivers influencing the growth of HEV adoption in emerging economies.
A Bayesian Best-Worst method framework is used to examine the identified drivers.
No requirement for a charging station emerges to be the leading driver from this study.
Findings can facilitate transportation sustainability and a lower-carbon economy.
Debnath, B., Siraj, M. T., Rashid, K. H. O., Bari, A. M., Karmaker, C. L., & Al Aziz, R. (2023). Analyzing the Critical Success Factors to Implement Green Supply Chain Management in the Apparel Manufacturing Industry: Implications for Sustainable Development Goals in the Emerging Economies. Sustainable Manufacturing and Service Economics, 100013.
Highlights:
Analyzes the critical success factors (CSFs) to implement GSCM in the apparel manufacturing industry.
A grey-based DEMATEL framework has been employed.
Prioritizes and explores causal interactions between the CSFs in emerging economy context.
The most significant CSF appears to be demand from buyers.
Decision-makers can use the findings to implement GSCM and achieve the SDGs.
Rahman, M. A., Hossain, A. A., Debnath, B., Zefat, Z. M., Morshed, M. S., & Adnan, Z. H. (2021). Intelligent vehicle scheduling and routing for a chain of retail stores: A case study of Dhaka, Bangladesh. Logistics, 5(3), 63.
Highlights:
An optimization approach was applied to design vehicle scheduling and to find the shortest path between nodes (outlets/stores). Based on real-time traffic data,
The application generates an alternate shortest path to avoid any obstruction during the journey, where several outlets are to be visited in a single journey.
The spreadsheet-based solver tool utilizing the Google Vehicle Routing add-on improves the vehicle scheduling and navigation sequence.
The application displays the shortest route with an alternative best route to the destination.
Conferences:
Debnath, B., Hossain, A., Zefat, Z. M., & Rahman, M. A. (2020, December). An intelligent approach of vehicle routing of Super Shop Shawpno. In Proceedings of the International Conference on Mechanical, Industrial and Energy Engineering (ICMIE), Khulna, Bangladesh (pp. 19-21).
Zohra, F. T., Talukder, F., Shanta, U. K., Debnath, B., & Rahman, M. A. Web-based Networking Process of Supply Chain in Additive Manufacturing. Proceedings of the International Conference on Industrial & Mechanical Engineering and Operations Management Dhaka, Bangladesh, December 26-27, 2021.
Under Review Research Papers
Analyzing the Fire Risks and Mitigation Approaches in the Apparel Manufacturing Industry: Implications for Operational Safety and Sustainability
Submitted to the "Fire Safety Journal"
The study is focused on identifying the fire risks and proposing action plans and mitigation strategies for respective fire risk utilizing a hybrid approach.
An Integrated Best-Worst Method and Interpretive Structural Modeling Approach for Assessing the Barriers to Circular Economy Implementation
Submitted to the "Decision Analytics Journal"
Study focuses on analyzing barriers to circular economy implementation focused on electronics manufacturing sector using a hybrid MCDM approach.
Assessing the Critical Success Factors for Implementing Industry 4.0 in the Pharmaceutical Industry: Implications for Supply Chain Sustainability in Emerging Economies
Submitted to the "Journal of Cleaner Production" Journal
Study analyzes factors influencing the adoption of Industry 4.0 in the pharmaceutical industry using the Bayesian BWM approach.
Other Ongoing Research Activities
Digitalization in Micro-manufacturing (Book Chapter)
Draft Outline:
Digital technologies in micro-manufacturing
Digitalization in Micromachining
Digitalization in Micro additive manufacturing
Digitalization in hybrid micro-manufacturing
Digital technologies in the micro product lifecycle
Research gap and Future Outlook of Digital Micro-manufacturing
Drivers to adopt wind energy in an emerging economy
Implementation of Lean and Occupational Health and Safety in the Leather Industry: A Systematic Review
Strategies for decarbonizing transportation system
Implementation of city 4.0 in an emerging economy
Blockchain adoption barriers in pharmaceutical industry
Green manufacturing in beverage industry
Thanks a lot for your interest...Have a good day!
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