YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web page & Web crawler. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Risk mitigations strategy in supply chain planning and control: an ANP approach

Abstract: This paper mainly deals with risks management in supply chain planning and control. The primary objective of this paper is to illustrate how the industries can analyse and assess the risks associated with supply chain planning and control. To fulfil customer requirements organisations need to improve their supply chain system by eliminating risks associated to it by using appropriate tools and techniques. For the successful supply chain management, industries must focus on risks as a tool to achieve their goals. A comparative analysis of various risks mitigations reduces the chance of occurrence of failures in determinants i.e., disruption, deviation and disasters has been analysed in this study. The purpose of this paper is to analyse the risk mitigations and find out the best alternative in traditional, agile and green supply chain by the application of analytical network process (ANP) by comparing the results with analytical hierarchy process (AHP).

Ant colony optimization technique for edge detection using fuzzy triangular membership function

Abstract: Edge recognition is one of the fastest growing image segmentation process. It is reported existing edge detection process shows low performance high time complexity, if the volume of image is enlarged. Furthermore, condition becomes more revered in the existence of gaps between the edge’s pixels. Therefore in this work one of the bio inspired technique Ant Colony Optimization based approach is used to identify edges of a ship in ocean water. To reduced time complexity triangular fuzzy member ship function is used. The results of proposed work confirm clear edges of small and partial objects.

Comparative analysis of harmonic reduction in multilevel inverter

Abstract: In this paper, different multilevel inverter topologies and their comparison has been presented. Multilevel inverter topologies (MLIs) are increasingly being used in medium and high power applications due to their many advantages such as low power dissipation on power switches, low harmonic contents and low electromagnetic interference (EMI) outputs. The distortion of the output voltage decreases as the number of level increases and it is further improved by applying pulse width modulation (PWM) techniques. In this work, an attempt has been made to reduce the harmonic content in the output voltage by incorporating different multi level inverter topologies using sinusoidal PWM technique. The gating signals for the switches are generated with the help of the switching table and the power circuit is simulated in MATLAB/Simulink.

Identification and modelling of the various factors affecting the productivity of FMS

Abstract: The last few years have witnessed unparalleled changes in the world market and the manufacturing companies have to adjust to these unforeseen changes in the market quickly to survive. So more and more companies are now opting for low volume, high variety flexible manufacturing system (FMS) instead of the conventional mass production. Though FMS provides a lot of strategic and tactical benefits, yet all of these may not be possible with all installations. A manufacturing manager should know what are the specific benefits he is expecting from the FMS installation and what is the time span within which these benefits start coming in. In the present paper, an attempt has been made to accomplish the task of enlisting the factors affecting the productivity of FMS installation and further an attempt has been made to model these different factors using the interpretive structural modelling (ISM). This model is further strengthened using MICMAC analysis by defining the driving power and dependencies of these factors.