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 Extn. Secretary Extn.
1 Prof. Ankur Sinha New Faculty Block Room No. C-7 4837 Ms. Anjali Nair
2 Prof. Arnab.K. Laha KLMDC Room No.37 4947 Ms. Shylaja Deepak
3 Prof. Chetan Soman New Faculty Block Room No. C 15 4839 Ms. Ranna Bhatt
4 Prof. Debjit Roy KLMDC Room No.62 4823 Ms. Latha Panicker
5 Prof. Dhiman Bhadra KLMDC Room No. 19 4893 Ms. Reji Pillai
6 Prof. Diptesh Ghosh KLMDC Room No. 7 4917 Mr. Uday Bhanu P G
7 Prof. Goutam Dutta New Faculty Block Room No. C 10 4828 Ms. Ranna Bhatt
8 Prof. Karthik Sriram (Chairperson) KLMDC Room No. 20 4875 Ms. Riddhi Majithiya
9 Prof. Maya Ganesh IMDC Room No.7 4407 Ms.Vinodini Raveendran
10 Prof. Prahalad Venkateshan KLMDC Room No. 43 4894 Ms.Viddhi P. Kotak
11 Prof. Sachin Jayaswal KLMDC Room No. 41 4877 Mr. Hiren N. Shah
12 Prof. Saral Mukherjee New Faculty Block Room No. C 3 4929 Vaishali Joshi
13 Prof. Sriram Sankaranarayanan New Faculty Block Room No B 17 4805 Mr.Hiren N. Shah
14 Prof. T. Bandyopadhyay New Faculty Block Room No. A 1 4808 Mr.Uday Bhanu P G
1. Prof. Arindam Banerjee New Faculty Block Room No.C 11 4898 Ms.Ranna Bhatt
2. Prof. Sundaravalli Narayanaswami KLMDC Room No. 24 4942 Mr. Harshad Parmar


Area Chairperson Prof. Karthik Sriram KLMDC Room No. 20 4875
Area Secretary Ms. Vinodini Raveendran (Assist Manager - P&QM Area) KLMDC 7974


Visiting Faculty

  • Prof. N Ravichandran
  • Prof. Shardul Phadnis
  • Prof. G. Raghuram


Academic Associates

S N Name Email Office Extn.
1 Abhay Kumar RA-10 , New  campus 4430
2 Aditi Yadav CC G-1 table 2. 7977
3 Anjali Abichandani KLMDC con. Room 7754
4 Dhawani Shah KLMDC Con. room 7757
5 Jaydeep Gohel KLMDC coffee shop 7950
6 Najma Barkat KLMDC 7785
7 Ritika Bothra KLMDC con. Room 7752
8 Vaidant Dixit KLMDC 7905
9 Virali Vora RA 2, New Campus  4422


Staging Enabled