A timetabling problem is formulated as a large integer linear programming problem in 0-1 variables. A solution method based on Lagrangean relaxation coupled with subgradient optimization is presented. The solution method also incorporates a branch and bound procedure which takes advantage of...

This book analyzes the underlying theoretical principles of multi-objective linear programming problems with multi-choice parameters. It studies transportation problems on the same domain with extension to fuzzy stochastic criteria, and offers insights into sensitivity analysis through symmetric...

Purpose: The purpose of this paper is to estimate the relative efficiencies of banks of the Indian domestic banking sector by employing various models of data envelopment analysis (DEA) using the panel data of the recent decade (2008–2017). The paper provides a comparative analysis of these...

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...