Deepak Singhal
KIIT University, Indian Institute of Information Technology Design and Manufacturing Jabalpur
About
He is currently working as an Associate Professor in the School of Mechanical Engineering of KIIT Deemed to be University, Bhubaneswar, Odisha, India. He has completed his B-Tech in Mechanical Engineering from Indian Institute of Information Technology (IIIT), Jabalpur and completed his Phd in the area of Industrial engineering. He has published more than forty papers in International journals with high repute like International Journal of Production Research, Research in Transportation Economics, International Journal of Lean Six Sigma, Sustainable production and Consumption, Environment, Development and Sustainability, Management Decision, OPSEARCH, etc. His major areas of interest include decision modelling, supply chain management, sustainability, data analytics, Operations and quality management. He has been honored with the Outstanding Research Paper Award from the Institution of Engineers (India) on three separate occasions, in 2020, 2024, and 2025. Beyond his academic duties, he is deeply involved in delivering specialized lectures in Management Development Programmes aimed for corporate professionals. He is also empaneled as a LEAN consultant under the MSME Competitive (LEAN) Scheme, where he assists smaller enterprises in optimizing their processes and improving global competitiveness through lean methodologies.
Employment
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KIIT University Faculty2010 - Present
Education
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Indian Institute of Information Technology Design and Manufacturing Jabalpur B-Tech
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KIIT University PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (50)
- BWM questionnaire Save
- Marine Waste Management: A Framework for Identifying, Prioritizing, and Resolving Key Challenges [version 1; peer review: 1 approved] Save
- Navigating Lean Implementation Challenges in Indian Manufacturing Industries: A hybrid decision support study Save
- Metaverse in Supply Chain Management: Unveiling the Opportunities and Challenges Save
- Deep Learning-Based Convolutional Neural Networks for Automated Malaria Detection Save
- A Structural Analysis of AI Implementation Challenges in Healthcare Save
- Decoding e-waste challenges with hybrid AHP and ISM Model approach: An initiative towards a cleaner future in India [version 1; peer review: 1 approved, 1 not approved] Save
- F1000 Save
- Raw data for FDM Save
- Raw data for BWM Save