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Dr. Ravindra Gokhale Assistant Professor National Institute of Industrial Engineering (NITIE) Vihar Lake, Mumbai, India, 400 087 Office: +91-22-2857-3371, Ext-5541 e-mail: [email protected], [email protected] Teaching and Research Interests Teaching Interests: Operations Management, Business Statistics, Applied Multivariate Analysis, Supply Chain Management, Quality Management, and Operations Research. Research Interests and Current Areas of Research: Production Planning, Scheduling, and Transportation Management. Academic Background B.E. Production Engineering M.Tech Industrial Engineering and Operations Research Ph.D. Operations Management Academics Theses Titles M.Tech. Thesis: “Simulation Studies on Railway Line Capacity”. Ph.D. Thesis: “Scheduling Problems with Discrete and Batch Processor Machines in Automobile Gear Manufacturing”. Previous Academic Experience Assistant Professor at Symbiosis Centre for Management and Human Resource Development (SCMHRD), Pune. Assistant Professor at Indian Institute of Management Indore, Indore. Previous Industry Experience Mahindra and Mahindra Ltd. (Farm Equipment Sector), Mumbai – Manufacturing Modelytics India Pvt. Ltd., Bangalore – Business Analytics.

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Page 1: Dr. Ravindra Gokhale - Welcome to the NITIE. Ravindra Gokhale.pdf · Dr. Ravindra Gokhale Assistant Professor National Institute of Industrial Engineering (NITIE) Vihar Lake, Mumbai,

Dr. Ravindra Gokhale

Assistant Professor

National Institute of Industrial Engineering (NITIE)

Vihar Lake, Mumbai, India, 400 087

Office: +91-22-2857-3371, Ext-5541 e-mail: [email protected], [email protected]

Teaching and Research Interests

Teaching Interests: Operations Management, Business Statistics, Applied Multivariate Analysis,

Supply Chain Management, Quality Management, and Operations Research.

Research Interests and Current Areas of Research: Production Planning, Scheduling, and Transportation Management.

Academic Background

B.E. – Production Engineering

M.Tech – Industrial Engineering and Operations Research

Ph.D. – Operations Management

Academics Theses Titles

M.Tech. Thesis: “Simulation Studies on Railway Line Capacity”.

Ph.D. Thesis: “Scheduling Problems with Discrete and Batch Processor Machines in Automobile Gear Manufacturing”.

Previous Academic Experience

Assistant Professor at Symbiosis Centre for Management and Human Resource

Development (SCMHRD), Pune.

Assistant Professor at Indian Institute of Management Indore, Indore.

Previous Industry Experience

Mahindra and Mahindra Ltd. (Farm Equipment Sector), Mumbai – Manufacturing

Modelytics India Pvt. Ltd., Bangalore – Business Analytics.

Page 2: Dr. Ravindra Gokhale - Welcome to the NITIE. Ravindra Gokhale.pdf · Dr. Ravindra Gokhale Assistant Professor National Institute of Industrial Engineering (NITIE) Vihar Lake, Mumbai,

Research Publications

Papers in Refereed International Journals

Gokhale, R., and Mathirajan, M. (2011). Heuristic algorithms for scheduling of a batch

processor in automobile gear manufacturing. International Journal of Production Research, 49

(10), 2705-2728.

Gokhale, R., and Mathirajan, M. (2012). Scheduling identical parallel machines with

machine eligibility restrictions to minimize total weighted flowtime in automobile gear

manufacturing. The International Journal of Advanced Manufacturing Technology, 60, 1099-1110.

Gokhale, R., and Mathirajan, M. Minimizing total weighted tardiness on heterogeneous

batch processors with incompatible job families. The International Journal of Advanced

Manufacturing Technology, doi: 10.1007/s00170-013-5324-z

Papers in Refereed National Journals

Gokhale, R., and Mathirajan, M. (2012). A solution framework for a two-stage integrated

scheduling problem in automobile gear manufacturing. Indore Management Journal ORSI-

SOM Special Issue, 1-16.

Book Chapters in Edited Books

Mathirajan, M., Gokhale, R., and Ramasubramaniam, M. (2014) Modeling of Scheduling

Batch Processor in Discrete Parts Manufacturing. In Ramanathan Usha and Ramanathan

Ramakrishnan (Eds.), Supply Chain Strategies, Issues, and Models, pp. 153-192. London:

Springer.