MCKVIE is a premiere co-ed Post Graduate Degree Engineering College in West Bengal. It is approved by the All India Council for Technical Education, affiliated to the West Bengal University of Technology and accredited by NBA. MCKVIE offers B. Tech, M. Tech and MCA degree courses. It has around 1500 students spread over six disciplines preparing to make their mark in the world.
ABSTRACT Performance efficiency of educational institutions should be constantly scrutinized and ... more ABSTRACT Performance efficiency of educational institutions should be constantly scrutinized and improved to make sure that competent manpower and researchers are produced proficiently in meeting the institutional standard of intellectuals. With a systematic performance evaluation system, resources can be directed satisfactorily and tasks may be completed effectively. Performance evaluation and ranking of engineering departments of technical institutions have received very limited attention due to complexity and difficulty in measuring the outputs. However, in today’s global education system, performance evaluation of engineering departments is required to assess whether they meet the set objectives and foster an environment of continuous improvement. So, the objective of this paper is set to develop a multi-criteria decision-making framework for performance evaluation and ranking of 16 engineering departments in an Indian university which addresses the inter-relationships between the selection criteria with the aid of decision-making trial and evaluation laboratory (DEMATEL) method while building a relationship structure. Entropy method is used to determine the relative criteria weights, and finally, a compromise ranking method is applied to prioritize and rank those departments. It is observed that Electrical Engineering department emerges out as the best performer and Information Technology department lags behind in its performance. Based on analytical results, faculty/student ratio, infrastructural development, student results and international research publications are identified to play major roles in evaluating the performance of those departments. This integrated model can help practitioners to improve their decision-making process, especially when criteria are numerous and interrelated. Its relevance and implementation issues in context of Indian engineering education scenario are also discussed.
Today's manufacturing industries have become more customer-oriented which eventually requires to ... more Today's manufacturing industries have become more customer-oriented which eventually requires to cater customer's demand in real time. The requirement of industrial robots turns into inevitable with increasing demand of complex products at higher production rate. Industrial robot selection is one of the tedious decision-making responsibilities regularly executed by various production houses in order to select the most suitable robot for specific industrial applications. It has become more and more intricate due to increase in complexity, addition of special features and facilities into the robots by the manufacturers. The decision makers need to identify and select the best suited robot in order to achieve the desired output with minimum cost and specific application ability. This paper focus on the application of a very potential multi-criteria approach, namely complex proportional assessment (COPRAS) for solving an industrial robot selection problem in a given manufacturing environment. One example is demonstrated to prove the suitability of the method in solving such complex industrial problems. It was experimental that the applied method is in good agreement with the rankings obtained by the past researchers.
ABSTRACT Performance efficiency of educational institutions should be constantly scrutinized and ... more ABSTRACT Performance efficiency of educational institutions should be constantly scrutinized and improved to make sure that competent manpower and researchers are produced proficiently in meeting the institutional standard of intellectuals. With a systematic performance evaluation system, resources can be directed satisfactorily and tasks may be completed effectively. Performance evaluation and ranking of engineering departments of technical institutions have received very limited attention due to complexity and difficulty in measuring the outputs. However, in today’s global education system, performance evaluation of engineering departments is required to assess whether they meet the set objectives and foster an environment of continuous improvement. So, the objective of this paper is set to develop a multi-criteria decision-making framework for performance evaluation and ranking of 16 engineering departments in an Indian university which addresses the inter-relationships between the selection criteria with the aid of decision-making trial and evaluation laboratory (DEMATEL) method while building a relationship structure. Entropy method is used to determine the relative criteria weights, and finally, a compromise ranking method is applied to prioritize and rank those departments. It is observed that Electrical Engineering department emerges out as the best performer and Information Technology department lags behind in its performance. Based on analytical results, faculty/student ratio, infrastructural development, student results and international research publications are identified to play major roles in evaluating the performance of those departments. This integrated model can help practitioners to improve their decision-making process, especially when criteria are numerous and interrelated. Its relevance and implementation issues in context of Indian engineering education scenario are also discussed.
Today's manufacturing industries have become more customer-oriented which eventually requires to ... more Today's manufacturing industries have become more customer-oriented which eventually requires to cater customer's demand in real time. The requirement of industrial robots turns into inevitable with increasing demand of complex products at higher production rate. Industrial robot selection is one of the tedious decision-making responsibilities regularly executed by various production houses in order to select the most suitable robot for specific industrial applications. It has become more and more intricate due to increase in complexity, addition of special features and facilities into the robots by the manufacturers. The decision makers need to identify and select the best suited robot in order to achieve the desired output with minimum cost and specific application ability. This paper focus on the application of a very potential multi-criteria approach, namely complex proportional assessment (COPRAS) for solving an industrial robot selection problem in a given manufacturing environment. One example is demonstrated to prove the suitability of the method in solving such complex industrial problems. It was experimental that the applied method is in good agreement with the rankings obtained by the past researchers.
Today's manufacturing industries have become more customer-oriented which eventually requires to ... more Today's manufacturing industries have become more customer-oriented which eventually requires to cater customer's demand in real time. The requirement of industrial robots turns into inevitable with increasing demand of complex products at higher production rate. Industrial robot selection is one of the tedious decision-making responsibilities regularly executed by various production houses in order to select the most suitable robot for specific industrial applications. It has become more and more intricate due to increase in complexity, addition of special features and facilities into the robots by the manufacturers. The decision makers need to identify and select the best suited robot in order to achieve the desired output with minimum cost and specific application ability. This paper focus on the application of a very potential multi-criteria approach, namely complex proportional assessment (COPRAS) for solving an industrial robot selection problem in a given manufacturing environment. One example is demonstrated to prove the suitability of the method in solving such complex industrial problems. It was experimental that the applied method is in good agreement with the rankings obtained by the past researchers.
Selection of an automated inspection device for a specific industrial application is one of the m... more Selection of an automated inspection device for a specific industrial application is one of the most challenging problems in real time manufacturing environment. It has become more and more complicated due to increasing complexity, advanced features and facilities that are continuously being incorporated into the devices by different manufacturers. This paper presents a selection methodology for the best suited automated inspection device used in flexible manufacturing systems based on The VIKOR method, a compromise ranking tool. Inspection devices play an important role for an effective manufacturing system for quality production, cost effectiveness and better productivity. At present, different types of inspection devices with diverse capabilities and features are available in the market. One real time example is cited in order to demonstrate and validate the applicability and potentiality of the proposed multi-criteria decision-making method. 1.0 INTRODUCTION 1.1 General Information In present day's global competitive manufacturing environment, the decision making for proper selection of the inspection system is one of the most challenging tasks. The decision maker has to select the best alternative, keeping in mind their relative performance characteristics and also the manufacturing goals and objectives. Increasing demand for large variety of quality products at lower costs and tough international competition has raised new responsibilities for the quality control engineers. Integrated quality control and flexible inspection system are considered as the most important for the integration of quality assurance with automated manufacturing. Golomski (1990) [1] has discussed that automated inspection system can reduce the indirect cost of inspection but increases the depreciation cost and the maintenance cost also. A methodology for the performance evaluation of coordinate measuring systems was proposed by Elshennawy (1989) [2]. Selection of an appropriate inspection device mainly depends on the characteristics of the manufacturing system and the quality control functions. This requires detailed study and evaluation of so many alternatives and the respective selection criteria. Decision analysis has been recognized as an important tool for the evaluation of major decisions among the scientific community and also in the public sector. Decision-making is the process of sufficiently reducing (rather than eliminating) uncertainty and doubt about the alternatives to allow a reasonable choice to be made. The branch of decision analysis which deals with this kind of problem is called as the multi-criteria decision making (MCDM). Multi-criteria decision-making looks at the paradigm in which an individual decision maker or a group of experts contemplate a choice of action in an uncertain environment. There are various mathematical tools for solving MCDM problems like simple additive weighting, analytic hierarchy process, weighted product method, TOPSIS, compromise ranking method (VIKOR), out ranking method (ELECTRE Series), the preference ranking organization method for enrichment evaluation (PROMETHEE), analytical network process (ANP) and so on. In all these above MCDM methods, decision regarding the best alternative amongst the available ones is arrived by giving mathematical treatments to the
Multi-criteria equipment selection plays an important role for an effective manufacturing system ... more Multi-criteria equipment selection plays an important role for an effective manufacturing system for quality production, cost effectiveness and better productivity. The equipment selection process involves choosing an optimal option from many alternatives, which requires consideration of both technical and economic benefits. The improper equipment selection may affect productivity, precision, flexibility and quality of the products negatively. Selecting the proper equipment for a particular application is not only a time-consuming and difficult process, but also it requires deep knowledge and experience. For a proper and effective evaluation, the decision maker needs a large amount of data to be analyzed and many factors to be considered. However, selecting the best alternative among many under the consideration of various mutually conflicting criteria is a multi-criteria decision-making (MCDM) problem. This paper mainly focuses on solving the industrial equipment selection problem using two very potential MCDM tools, namely Grey Relational Analysis (GRA) and Multi-Objective Optimization on basis of Ratio Analysis (MOORA) Method.
Proper material selection plays an important and crucial role for an effective manufacturing syst... more Proper material selection plays an important and crucial role for an effective manufacturing system for quality production, cost effectiveness and better productivity. Selection of proper materials for diverse engineering applications is one of the most challenging and difficult tasks. Improper material selection can lead to misuse of resources and finally causes product failure. So the designers need to identify and select proper materials with specific functionalities in order to obtain the desired output with minimum cost involvement and specific functionalities. However, with the wide range of materials available in the market, selection of the best material for a particular phenomenon is not an easy task to perform. In choosing the proper material, there is not always a single definite selection criteria and decision maker needs to take into account a large number of material selection attributes. This paper attempts to solve the materials selection problem using Multiplicative PROMETHEE method, one of the most potential multi-criteria decision-making (MCDM) approaches, considering different material selection attributes and their relative importance for a given material selection application. The rankings of the alternative materials almost corroborate with those as obtained by the past researchers.
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Papers by Dr. Prasenjit Chatterjee