Showing papers by "Indian Institute of Management Calcutta published in 1991"
TL;DR: In a multiparameter situation, the authors characterizes priors under which the Bayesian and frequentist Bartlett corrections for the likelihood ratio statistic differ by o(1) in a multi-dimensional setting.
51 citations
TL;DR: In this article, simple Bartlett-type modifications for a wide class of test statistics, including the efficient score and the likelihood ratio statistics, are proposed to improve the performance of test scores.
31 citations
TL;DR: In this article, a detailed discussion on the status of Indian industries in respect of the 14 points necessary for the implementation of TQM is presented, and the existing status of industries in India and the scope for the application of these 14 points is described.
Abstract: The 14 points given by Dr W.E. Deming to achieve total quality management (TQM) are described. The organizational and national culture which led to the success of the Japanese in implementing TQM in their industries is discussed in brief. A detailed discussion on the status of Indian industries in respect of the 14 points necessary for the implementation of TQM is presented. While discussing the 14 points individually, the existing status of industries in India and the scope for the application of these 14 points is described.
6 citations
Proceedings Article•
24 Aug 1991TL;DR: The role that search can play in solving certain types of hard optimization problems that involve the proper sequencing of jobs in one-machine job-sh shops and two-machine flow-shops is examined.
Abstract: Many efficient implementations of Al search algorithms have been realized in recent years. In an effort to widen the area of application of search methods to problems that arise in industry, this paper examines the role that search can play in solving certain types of hard optimization problems that involve the proper sequencing of jobs in one-machine job-shops and two-machine flow-shops. The problems studied here have the following general form: The completion of a job at time f induces a penalty G(f), where G(.) is a given penalty function which can be different for different jobs; the jobs must be so sequenced that the total penalty summed over all jobs is minimized. The objective is to improve upon current methods and to show that problems earlier considered formidable can at least be attempted, if not resolved satisfactorily, using admissible search algorithms. The crucial aspect is the derivation of good admissible heuristics that can direct the search narrowly to a goal. The search graph is not necessarily a tree. Algorithm A* has been run on randomly generated data using the derived heuristic estimates to solve a variety of penalty minimization problems; some indicative experimental results are provided.
5 citations
TL;DR: In this article, the median absolute deviation of the residual life data is used as a measure of scale of residual life distribution and weak convergence of a stochastic process generated from this measure has been studied.
1 citations
TL;DR: In this article, a model for determining the optimal policy of felling and planting trees of a particular species in a forest, in order to maximize the present value of the total net profit over a given period of time, under the assumption of a quadratic cost function, is presented.
Abstract: In this paper is presented a model for determining the optimal policy of felling and planting trees of a particular species in a forest, in order to maximize the present value of the total net profit over a given period of time, under the assumption of a quadratic cost function.