In this paper, we study the mechanism of dynamic pricing of electricity and its opportunities in the Indian context. We compare the economic efficiency of dynamic pricing vis-à-vis the traditional flat tariff of electricity. We analyse various ways in which dynamic tariff can be introduced in...

The National Railways of an Emerging Asian Economy (NREAE), the second largest railway network in the world, is facing growing challenges from low fare airlines. To combat these challenges, NREAE has to adopt revenue management systems where efficient forecasting plays a crucial role. In this...

We introduce a multiple scenario, multiple period, optimization-based decision support system (DSS) for strategic planning in a process industry. The DSS is based on a two stage stochastic linear program (SLP) with recourse for strategic planning. The model could be used with little or no...

The paper introduces the application of a generic, multiple period, two stage stochastic programming based Decision Support System (DSS) in an integrated steel company. We demonstrate that a generic, user friendly stochastic optimization based DSS can be used for planning in a probabilistic...

We introduce a stochastic optimization based decision support system (DSS) for asset-liability management of a life insurance firm using a multi-stage, stochastic optimization model. The DSS is based on a multi-stage stochastic linear program (SLP) with recourse for strategic planning. The model...

A railway passenger faces a dilemma of choosing the best train among several alternatives available in a particular route. A relative comparison of competing railways helps the passenger to make an informed choice before the actual travel. In this paper we develop a utility model for railway...

We describe how a generic multi-period optimization-based decision support system (DSS) can be used for strategic planning in process industries. The DSS is built on five fundamental elements . materials, facilities, activities, storage areas and time periods. It requires little direct knowledge...

In this paper, we discuss the recent success stories of operations research in developing countries. Personal experiences in developing two similar mathematical models for two steel companies (one in a developing country and another in a developed country) are discussed. Most interestingly and...

I worked on modeling integrated steel plants in India (as an analyst) and in the USA (as a doctoral student). The following factors influence the successful OR/MS practice: positioning of OR/MS in Operations and not in Research and Development, selecting the right problem, emphasising on problem...