SAGAR RAVINDRA GHUGE

Faculty Profile

SAGAR RAVINDRA GHUGE

Assistant Professor

Area:

Operations and Decision Science

Edu: PhD in Operations and Supply Chain Management – Indian Institute of Management Mumbai (IIM Mumbai)

Date of Joining:

7th August 2024

Biography

Sagar Ghuge is a dedicated researcher and professional in the field of Operations and Supply Chain Management. He recently submitted his PhD thesis, titled “Role of Additive Manufacturing in Spare Part Management,” at the prestigious Indian Institute of Management (IIM) Mumbai. His research focuses on the transformative potential of additive manufacturing within the supply chain, particularly in optimizing spare part management.

Sagar brings over five years of experience in new product development, where he has significantly contributed to advancing product innovation and engineering practices. His practical experience is complemented by a strong academic background, including one year of teaching as an Assistant Professor in the Mechanical Engineering Department at Mumbai University.

Sagar’s work exemplifies a blend of theoretical insight and hands-on expertise, making him a valuable asset in both academic and industrial settings. His commitment to advancing the field is reflected in his research and professional endeavors.

Teaching

1 Year of Teaching

Research

Role of Additive Manufacturing in Spare Part Management

Publications

S. Ghuge* and M. Akarte, “Additive Manufacturing Service Bureau Selection: A Bayesian Network Integrated Framework,” International Journal of Production Economics, Paper Link: https://doi.org/10.1016/j.ijpe.2024.109348, (ABDC – A), (AJG – 3), (IF –9.8), (Cite Score- 21.4), (Quartile – Q1).

S. Ghuge*, V. Dohale, and M. Akarte, “Spare Part Segmentation for Additive Manufacturing – A Framework,” Computers & Industrial Engineering, Volume 169, pages: 108277, Jul. 2022, Paper Link: https://doi.org/10.1016/j.cie.2022.108277, (ABDC – A), (AJG – 2), (IF –6.7), (Cite Score- 12.7), (Quartile – Q1).

S. Ghuge*, M. Akarte and R. Raut, “Decision-making Frameworks in Additive Manufacturing Management: Mapping Present Landscape and Establishing
Future Research Avenues,”
Benchmarking: An International Journal, Paper Link: https://www.emerald.com/insight/content/doi/10.1108/BIJ-12-2023-0845/full/html (ABDC – A), (AJG – 2), (IF – 4.8), (Cite Score- 10.4), (Quartile – Q1).

S. Ghuge* and M. Akarte, “Additive Manufacturing Process Root Selection Using Bayesian Network,” Procedia Computer Science, Volume 232, 2024, Pages 698-707, Paper link: https://doi.org/10.1016/j.procs.2024.01.069, (Cite Score- 4.5), (Quartile – Q2).

S. Ghuge* and S Parhi, “Additive Manufacturing Service Provider Selection Using a Neutrosophic Best Worst Method,” Procedia Computer Science, Volume 217, 2023, Pages: 1550-1559, DOI: https://doi.org/10.1016/j.procs.2022.12.355, (Cite Score- 4.5), (Quartile – Q2).

Conferences and Workshops

Larg Scale Optimization (LSO) IIT Roorkee 2024

Determining And Validating the Spare Parts Selection Criteria for Additive Manufacturing Using Delphi Technique – IEEE International Conference on Industrial Engineering and Engineering Management, Kuala Lumpur, Malaysia (7 – 10 Dec. 22).

Exploration of the challenges that limit the adoption of Additive Manufacturing in Indian Manufacturing Industries –11th International Conference and Exhibition on Additive Manufacturing Technologies – AM 2022, Bangalore, India (14 – 15 Oct. 22).

Awards

Employee of the Year- MD Industries- 2015
Winner of National-level competition in critical and creative designs-2012
National Level winners in technical project competition-2010

Media Coverage

Not Applicable