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...

An airline passenger has a number of choices before he/she makes his/her travel decision. Competing airlines are also interested in the preference set of the traveller. Passenger choice modelling is an essential component of any revenue management system. In this paper, we develop a linear...

In this paper, we address the issue of capacitated revenue management (RM) in the restaurant industry. First we present an integer programming (IP) model to find the optimal table-mix for a restaurant. Then we address the acceptance–rejection issue by IP to incorporate the continuous...

With increasing liquidity of the Indian sovereign debt market since 1997, it has become possible to estimate the term structure in India. However, the market is characterised by several frictions that cause individual securities to be priced differently from the ‘average’ pricing in...

In this paper, we analyze the price movements of the Indian domestic airline industry. In the first part, we conduct a detailed econometric analysis of five selected domestic routes. In the second part, we study the weekend effect on the average airfare. Our research suggests that competition...

In this paper, we analyze the price movements of the Indian domestic airline industry. In the first part, we conduct a detailed econometric analysis of five selected domestic routes. In the second part, we study the weekend effect on the average airfare. Our research suggests that competition...

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...

Artificial Neural Network (ANN) has been shown to be an efficient tool for non-parametric modelling of data in a variety of different contexts where the output is a non-linear function of the inputs. These include business forecasting, credit scoring, bond rating, business failure prediction,...