Pratap K.J. Mohapatra
Other affiliations: Indian Institute of Technology Bhubaneswar
Bio: Pratap K.J. Mohapatra is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: System dynamics & Common value auction. The author has an hindex of 21, co-authored 66 publications receiving 1813 citations. Previous affiliations of Pratap K.J. Mohapatra include Indian Institute of Technology Bhubaneswar.
Papers published on a yearly basis
TL;DR: This work develops a systematic framework for carrying out the supply base reduction process and uses fuzzy set approach to measure the imprecision of these factors and rank a potential list of suppliers against their performance and capability.
TL;DR: In this paper, a data envelopment analysis approach has been used to determine the efficiencies of farmers with regard to energy use in rice production activities in the alluvial zone in the state of West Bengal in India.
10 Sep 1994
TL;DR: In this paper, the authors examined whether service quality of Indian commercial banks increases customer satisfaction that fosters customer loyalty, and found that human, technical and tangible aspects of service quality increase customer satisfaction.
Abstract: This article examines whether service quality of Indian commercial banks increases customer satisfaction that fosters customer loyalty. Data were collected from 350 valued customers of scheduled commercial bank branches in Orissa (India). A questionnaire elicited information on socio–demographic variables along with human, technical, and tangible aspects of service quality, customer satisfaction, and loyalty. Results suggest that better human, technical and tangible aspects of service quality of the bank branches increase customer satisfaction. Human aspects of service quality were found to influence customer satisfaction more than the technical and tangible aspects. Customer satisfaction furthers customer loyalty. Increase in service quality of the banks can satisfy and retain customers. In the Indian banking sector, human aspects are more important than technical and tangible aspects of service quality that influence customer satisfaction and promote and enhance customer loyalty.
TL;DR: In this paper, the authors considered the risks of supply disruption due to occurrence of super, semi-super, and unique events in order to formulate a model to determine the optimal size of supply base.
TL;DR: Evidence is provided that the multi-criteria decision making approaches are better than the traditional cost-based approach, but also aids the researchers and decision makers in applying the approaches effectively.
01 Jan 2013
TL;DR: A literature review of MCDM methods can be found in this paper, which examines the advantages and disadvantages of the identified methods, and explains how their common applications relate to their relative strengths and weaknesses.
Abstract: Multi-Criteria Decision Making (MCDM) methods have evolved to accommodate various types of applications. Dozens of methods have been developed, with even small variations to existing methods causing the creation of new branches of research. This paper performs a literature review of common Multi-Criteria Decision Making methods, examines the advantages and disadvantages of the identified methods, and explains how their common applications relate to their relative strengths and weaknesses. The analysis of MCDM methods performed in this paper provides a clear guide for how MCDM methods should be used in particular situations.
TL;DR: A literature survey on the application of data envelopment analysis (DEA) to E&E studies is presented and an introduction to the most widely used DEA techniques is introduced.
TL;DR: The forecasts for three emerging technology areas are presented by integrating the use of bibliometrics and patent analysis into well-known technology forecasting tools such as scenario planning, growth curves and analogies.