Dr. Vishal A. Bhosale


NAME : Dr. Vishal A. Bhosale
DESIGNATION : Assistant professor
QUALIFICATION : B.E Mechanical, M.Tech, PhD.

  • Ph.D. in Supply Chain and Operations Management from S.V. National Institute of Technology, Surat, October. 2017.
  • M.Tech in Mechanical Engineering from S.V. National Institute of Technology, Surat, June 2013.
  • B.E in Mechanical Engineering from Government College of Engineering, Jalgaon, November 2009

OVERVIEW OF PROFILE :

He is an Assistant professor in Mechanical Engineering department. His research in the interdisciplinary field of supply chain, multi criteria decision making and operations engineering.

FORE FRONT AREA OF RESEARCH : Supply Chain, MCDM techniques, Interpretive Structural Modelling (ISM), Knowledge Management
EMAIL ID : vabhosale@mitcoe.ac.in
CONTACT NO : 020-30253500 Ext.
EXPERIENCE : Teaching 1Y 3M, Industry 0Y 0M, Research 3Y 7M.


  • Best Teacher Award in Year 2007
  • International Teacher & Trainer by Cambridge University

MEMBERSHIPS

  • Indian Institution of Industrial Engineering (IIIE), Navi Mumbai. Life Member LM 10249
  • The Indian Society for Technical Education (ISTE), New Delhi. Life Member LM 96930

PUBLICATIONS
JOURNALS

  • Bhosale, V.A. and Kant, R. (2016) ‘Metadata Analysis of Knowledge Management in Supply Chain: Investigating the Past and Predicting the Future’, Business Process Management Journal, Vol. 22 No. 1, pp. 140 - 172. (Scopus Indexed Journal)
  • Bhosale, V. A., and Kant, R. (2016). ‘An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers’, International Journal of Production Research, Vol. 54, No. 24, pp. 7374-7399. (SCI Indexed Journal)
  • Bhosale, V.A., and Kant, R. (2014). ‘Selection of best knowledge flow practicing organisation using hybrid fuzzy AHP-VIKOR method’, International Journal of Decision Sciences, Risk and Management, Vol. 5, No. 3, pp. 234-262. (Peer Reviewed Journal)
  • Bhosale, V. A., Kant, R. and Shankar, R. (2018) ‘Investigating the Impact of Knowledge Flow on Supply Chain Performance’, Benchmarking: an International Journal,Vol. 25, No. 2,pp. 426 - 449. (Scopus Indexed Journal)
  • Bhosale, V. A., and Kant, R. ‘An Integrated Fuzzy Delphi with Fuzzy Inference System for Ranking the Solutions to Overcome the Supply Chain Knowledge Flow Barriers’, International Journal of Information and Decision Sciences (Accepted). (Scopus Indexed Journal)
  • Bhosale, V. A. and Kant, R. (2017) ‘Impact of Knowledge Flows on Supply Chain Performance: An Experiment on Four Indian Luggage Manufacturing Firms’ International Journal of Information and Decision Sciences. (Accepted). (Scopus Indexed Journal)

INTERNATIONAL CONFERENCES

  • Bhosale, V.A. and Kant, R. (2017) ‘Examining the Solutions to Overcome the SCKFBs using Fuzzy AHP and Fuzzy TOPSIS Method’, in the proceeding of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.
  • Bhosale, V.A., Kant, R., and Bhandarkar B.M. (2016) ‘Identifying Causal Relations of Critical Supply Chain Knowledge Flow Barriers for an Indian Case Organization’, in the proceeding of in 8thIEEE International Conference on Management of Innovation and Technology (ICMIT2016), Bangkok, pp. 83- 88. DOI: 10.1109/ICMIT.2016.7605012.
  • Bhosale, V.A. and Kant, R. (2015) ‘Comparative Analysis of Multi-Criteria Decision Making Methodologies’, in the proceeding of 3rd IIIE International Conference on Industrial Engineering (ICIE 2015), Surat, India, pp. 792-795.
  • Bhosale, V.A. and Kant, R. (2013) ‘Evaluation of Critical Organizational Knowledge Flow Enablers’, in the proceeding of 2nd IIIE International Conference on Industrial Engineering (ICIE 2013), Surat, India, pp. 284-289.

NATIONAL CONFERENCES

  • Bhosale, V.A. and Kant, R. (2015) ‘Study of Critical Contextual Knowledge Flow Enablers Using fuzzy DEMATEL Method’, in the Proceeding of VIth National Conference on Recent Trends in Mechanical Engineering (RAM 2015), Surat, India, pp. 451-456.
  • Bhosale, V.A. and Kant, R. (2014) ‘Implementing of Knowledge Flow Mechanisms in Supply Chain Using a Geometric Mean Method’, in the Proceeding of Vth National Conference on Recent Trends in Mechanical Engineering (RAM 2014), Surat, India, pp. 410-415.