Ph.D, MS, MA, BE

QUALIFICATION: Fellow (IIMB), MA (Math, UT Austin), MS (Econ, UT Austin), BE (REC, Tiruchy)

Dr. Achath has eleven years of experience in industry, and twenty-six years in teaching and doctoral and post-doctoral research in India and abroad. He started his career as a commissioning engineer in industrial automation and process control systems in BHEL Bangalore, in collaboration with Siemens, West Germany, and then moved to an academic career with Xavier Institute of Management, Bhubaneswar, and the University of Texas at Austin. In 1982, Dr. Achath received two awards in commissioning of steel rolling mills while in BHEL, and in 2009 received the 17th Dewang Mehta Award for best teacher in operations management while at ASB. He is a state and central rank holder in the all-India 1966 entrance examination to Sainik School. He has consulted with Rourkela Steel Plant and Visakhapatnam Steel Project on HR related issues of plant modernization. He is credited with publications in national and international journals, and conference proceedings. Dr. Achath is a member of the Indian Econometric Society, Society of Computational Economics, Operational Research Society of India, and the Statistical Society of Canada. He teaches core and elective courses in operations management and quantitative methods. His other interests include carnatic music and classical jazz.


  • Associate Professor, Xavier Institute of Management, Bhubaneswar
  • Sr. Engineer, Engineer and Engineer Trainee, Bharat Heavy Electricals Limited, Bangalore


Publication Type: Conference Paper

Year of Publication Publication Type Title


Conference Paper

Dr. Sudhakar Achath, “Imprecise Probabilities for Measuring Tracking Error Risk”, in 43rd Annual Meeting of the Statistical Society of Canada (SSC), 14-17 June 2015, Dalhousie University, Halifax, NS, Canada. , 2015.


Conference Paper

Dr. Sudhakar Achath and Mohammed, A., “MRP and Vendor Rating Practices–A Case Study of HMT Tractors Ltd.”, in Ninth AIMS International Conference on Management, Foundation for Liberal and Management Education (FLAME), 2012.


Conference Paper

Dr. Sudhakar Achath, “Modeling Investment Planning for Thermal Power Generation in India using Optimal Control Methods”, in Annual Meeting 2012 of the Institute for Operations Research and the Management Sciences (INFORMS),Phoenix, Arizona, USA, 2012.


Conference Paper

Dr. Sudhakar Achath, “Stochastic Programming Model for Asset and Liability Management using Network Flow Optimization”, in 3rd Annual Business Complexity Conference, Center for Complexity in Business, Robert H. School of Business, University of Maryland, College Park, Maryland, USA., 2011.[Abstract]

Long Abstract This paper discusses an asset and liability management model formulated and solved as a stochastic linear programming (SLP) model. The stochastic network flow formulation (directed graph), an extension from Mulvey & Vladimirou (1991) and implemented by Ariyawansa and Felt (2004), uses nodes as assets and liabilities, and the arcs as fund flows (transactions). Three types of assets, i.e., equity, government securities, and bonds are considered, along-with annual contributions (liquid funds received and available that year for investment as well as disbursement), and annual payments (liabilities) for each year. The model uses a five year planning horizon. The starting year is deterministic, and is specified with initial values for nodes and arcs. For the later years, a discrete probability distribution with up-to four states is specified for each of the nine uncertain parameters of each period, namely, transaction costs, the annual return on each asset, annual contributions, and annual liabilities. The formulated SLP problem is written in the SMPS input file format (Gassmann & Schweitzer, 2001) to generate up-to 36^5 (~60 million) scenarios. It is currently possible to solve a "sub-problem" of the above using IBM ILOG CPLEX Optimization Suite (IBM Corp., 1987, 2009). Thus, the paper develops a five-year fund-flow (sources and uses of funds) plan for the Pension Fund Sector. The computational burden involved clearly suggests use of parallelization along-with decomposition methods. The model is scalable and, in its present formulation, would be of an order of 36^n scenarios to solve a problem with an n-year planning horizon. The current AUM of Employee Provident Fund Organization is approximately Rs. 300,000 Crores (pension fund plus provident fund), about 66 Billion USD. The 57 th Annual Report of EPFO (2009-10) is used to generate input data for the problem. The problem assumes that funds are initially invested equally in all three asset classes, and then an optimal five-year fund management plan has been derived. The results suggest an investment plan where assets are created first in equity, then government securities and bonds in that order. Stochastic Programming Model for Asset and Liability Management Using Network Flow Optimization (PDF Download Available). Available from: https://www.researchgate.net/publication/271447461_Stochastic_Programming_Model_for_Asset_and_Liability_Management_Using_Network_Flow_Optimization [accessed Jan 21, 2016]. More »»


Conference Paper

Dr. Sudhakar Achath and Dr. P. Balasubramanian, “Predicting Futures Contracts Using Local Data and Non-Parametric Regression”, in 5th International Conference of Association of Indian Management Scholars International, ICFAI Business School, Hyderabad , 2007.

NIRF 2018