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.
| P&QM AREA MEMBERS | |||||||
| Sr. No. | Faculty | Office | Extn. | Secretary | Extn. | ||
| PRIMARY MEMBERS | |||||||
| 1 | Prof. Ankur Sinha | asinha@iima.ac.in | New Faculty Block Room No. C-7 | 4837 | Ms. Anjali Nair anjalin@iima.ac.in |
7742 | |
| 2 | Prof. Arnab.K. Laha | arnab@iima.ac.in | KLMDC Room No.37 | 4947 | Ms. Shylaja Deepak shylaja@iima.ac.in |
7911 | |
| 3 | Prof. Chetan Soman | chetan@iima.ac.in | New Faculty Block Room No. C 15 | 4839 | Ms. Ranna Bhatt rannab@iima.ac.in |
7937 | |
| 4 | Prof. Debjit Roy | debjit@iima.ac.in | KLMDC Room No.62 | 4823 | Ms. Latha Panicker latha@iima.ac.in |
7913 | |
| 5 | Prof. Dhiman Bhadra | dhiman@iima.ac.in | KLMDC Room No. 19 | 4893 | Ms. Reji Pillai reji@iima.ac.in |
7953 | |
| 6 | Prof. Diptesh Ghosh | diptesh@iima.ac.in | KLMDC Room No. 7 | 4917 | Mr. Uday Bhanu P G uday@iima.ac.in |
7973 | |
| 7 | Prof. Goutam Dutta | goutam@iima.ac.in | New Faculty Block Room No. C 10 | 4828 | Ms. Ranna Bhatt rannab@iima.ac.in |
7937 | |
| 8 | Prof. Karthik Sriram (Chairperson) | karthiks@iima.ac.in | KLMDC Room No. 20 | 4875 | Ms. Riddhi Majithiya riddhim@iima.ac.in |
7926 | |
| 9 | Prof. Maya Ganesh | mayag@iima.ac.in | IMDC Room No.7 | 4407 | Ms.Vinodini Raveendran vinodini@iima.ac.in |
7974 | |
| 10 | Prof. Prahalad Venkateshan | prahalad@iima.ac.in | KLMDC Room No. 43 | 4894 | Ms.Viddhi P. Kotak vanitham@iima.ac.in |
7901 | |
| 11 | Prof. Sachin Jayaswal | sachin@iima.ac.in | KLMDC Room No. 41 | 4877 | Mr. Hiren N. Shah hirens@iima.ac.in |
7952 | |
| 12 | Prof. Saral Mukherjee | saralm@iima.ac.in | New Faculty Block Room No. C 3 | 4929 | Vaishali Joshi vaishalij@iima.ac.in |
7743 | |
| 13 | Prof. Sriram Sankaranarayanan | srirams@iima.ac.in | New Faculty Block Room No B 17 | 4805 | Mr.Hiren N. Shah hirens@iima.ac.in |
7952 | |
| 14 | Prof. T. Bandyopadhyay | tathagata@iima.ac.in | New Faculty Block Room No. A 1 | 4808 | Mr.Uday Bhanu P G uday@iima.ac.in |
7973 | |
| SECONDARY MEMBERS | |||||||
| 1. | Prof. Arindam Banerjee | arindam@iima.ac.in | New Faculty Block Room No.C 11 | 4898 | Ms.Ranna Bhatt rannab@iima.ac.in |
7937 | |
| 2. | Prof. Sundaravalli Narayanaswami | sundaravallin@iima.ac.in | KLMDC Room No. 24 | 4942 | Mr. Harshad Parmar harsad@iima.ac.in |
7771 | |
| Area Chairperson | Prof. Karthik Sriram | chr-pqm@iima.ac.in | KLMDC Room No. 20 | 4875 |
| Area Secretary | Ms. Vinodini Raveendran (Assist Manager - P&QM Area) | areasec-pqm@iima.ac.in | KLMDC | 7974 |
Visiting Faculty
Academic Associates
| S N | Name | Office | Extn. | |
| 1 | Abhay Kumar | abhayk@iima.ac.in | RA-10 , New campus | 4430 |
| 2 | Aditi Yadav | aditiy@iima.ac.in | CC G-1 table 2. | 7977 |
| 3 | Anjali Abichandani | anjalia@iima.ac.in | KLMDC con. Room | 7754 |
| 4 | Dhawani Shah | dhawanis@iima.ac.in | KLMDC Con. room | 7757 |
| 5 | Jaydeep Gohel | jaydeepg@iima.ac.in | KLMDC coffee shop | 7950 |
| 6 | Najma Barkat | najmab@iima.ac.in | KLMDC | 7785 |
| 7 | Ritika Bothra | ritikab@iima.ac.in | KLMDC con. Room | 7752 |
| 8 | Vaidant Dixit | vaidantd@iima.ac.in | KLMDC | 7905 |
| 9 | Virali Vora | viraliv@iima.ac.in | RA 2, New Campus | 4422 |