Production & Quantitative Methods

The principal focus of the Production & Quantitative Methods (P&QM) area is to equip future managers with the necessary tools and techniques that would enable them to take evidence and fact-based decisions in improving business performance in an increasingly data-driven world. In order to achieve that in a business domain, managers should have the ability to assimilate and apply knowledge and skill-sets from diverse areas such as operations management, operations research, statistics and analytics in solving complex business problems. This is where the relevance of this area lie. Faculty members in the P&QM area have expertise in a wide array of disciplines like Operations management, Operations research, Business analytics, Mathematics, Statistics, Public policy and Marketing.

The area offer core and elective courses in Operations management, Operations research, and Statistics across all the programmes of the institute. In addition, faculty members offer a wide array of Executive Education Programmes, both on-campus and online, that cater to a large number of working professionals from diverse backgrounds.

Faculty research interests in operations management are on strategic or operational issues related to manufacturing and service planning, supply chain coordination, shop floor scheduling and improving productivity of plant operations, design of operations, technological change and innovation, R&D capabilities, economics of flexible operations and process planning.

In operations research, faculty members have expertise in linear and integer programming, large scale optimization, combinatorial optimization, revenue management and network optimization. Interest in this area is both in modeling as well as in development of algorithms and heuristics for such problems. Typical application areas for research include finance, logistics, and the process industry.

Faculty research interests in statistics include modeling discrete and financial data, survey sampling, finite population inference, biostatistics, longitudinal and survival analysis, Bayesian inference, reliability analysis, time series analysis, statistical genetics, directional statistics, functional data analysis and stochastic processes.

The complete list of courses on offer with a brief summary of each is proved in the "Courses" link in the left under the area title. Names and official contacts of faculty colleagues are provided below.

Click here for Course Details

Sr. No. Faculty Email Office Telephone Secretary
1 Prof. Tathagata Bandyopadhyay Wing 01H +91-79-6632 4808 Mr. P.G. Uday Bhanu
+91-79-6632 4891
2 Prof. Dhiman Bhadra Wing 10C +91-79-6632 4893 Ms. Reji Pillai
+91-79-6632 4871
3 Prof. Goutam Dutta Wing 03H +91-79-6632 4828 Mr. P.V. Sethumadhavan
+91-79-6632 4851
4 Prof. Diptesh Ghosh Wing 12G +91-79-6632 4917 Mr. P.G. Uday Bhanu
+91-79-6632 4891
5 Prof. Apratim Guha (on long leave) Wing 01C +91-79-6632 4803 Ms. Sujatha Jayprakash
+91-79-6632 4911
6 Prof. Sachin Jayaswal Wing 08G +91-79-6632 4877 Mr. Hiren N. Shah
+91-79-6632 4851
7 Prof. Arnab.K. Laha Wing 15G +91-79-6632 4947 Ms. Shylaja Deepak
+91-79-6632 4820
8 Prof. Saral Mukherjee Wing 13J +91-79-6632 4929 Ms. Sujatha Jayprakash
+91-79-6632 4911
9 Prof. Debjit Roy Wing 03C +91-79-6632 4823 Ms. Latha Panicker
+91-79-6632 4531
10 Prof. Ankur Sinha Wing 04G +91-79-6632 4837 Ms. Rini Vinod
+91-79-6632 4311
11 Prof. Chetan Soman Wing 04J +91-79-6632 4839 Ms. Kavitha Sudheeran
+91-79-6632 4840
12 Prof. Karthik Sriram Wing 08E +91-79-6632 4875 Ms. Vanitha Mudaliar
+91-79-6632 4820
13 Prof. Prahalad Venkateshan Wing 10D +91-79-6632 4584 Ms. Vanitha Mudaliar
+91-79-6632 4820
1. Prof. Arindam Banerjee Wing 10H +91-79-6632 4898 Mr. P.V. Sethumadhavan
+91-79-6632 4851
2. Prof. Rama Mohan Turaga Wing 06G +91-79-6632 4857 Mr. Suresh M
+91-79-6632 4891
3. Prof. Sundaravalli Narayanaswami Wing 15B +91-79-6632 4942 Mr. Harshad Parmar
+91-79-6632 4941


Area Chairperson Prof. Sachin Jayaswal Wing 08G +91-79-6632 4877
Area Secretary Ms. Vinodini Raveendran Wing 10A +91-79-6632 4891


Academic Associates

Sr. No. Name Office Telephone Email
01 Ms. Hetal Rao Wing 11 K +91-79-6632 4910
02 Ms. Dhara Shah Wing 10 K +91-79-6632 4900
03 Ms. Shilpa Nagre Wing 9 A +91-79-6632 4881
04 Ms. Madhuri Jha Wing 4 K +91-79-6632 4840
05 Ms. Anjali Abichandani Wing 13A +91-79-6632 4921
06 Ms. Dhawani Shah Wing 13K +91-79-6632 4930
07 Mr. Jaydeep Gohel Wing 7K +91-79-6632 4870
08 Ms. Najma Barkat Wing 16A +91-79-6632 4951
Adhoc Academic Associate
01 Mr. Amit Bachani Wing 7K +91-79-6632 4870


Staging Enabled