Jain V.,Amity University |
Raj T.,YMCA University of Science and Technology
International Journal of Production Economics | Year: 2016
The purpose of this paper is to analyze the performance variables of flexible manufacturing system (FMS). This study was performed by different approaches viz. interpretive structural modelling (ISM); Structural equation modelling (SEM); Graph Theory and Matrix Approach (GTMA) and a cross-sectional survey within manufacturing firms in India. ISM has been used to develop a hierarchical structure of performance variables, and to find the driving and the dependence power of the variables. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniques. By performing EFA, factor structure is placed. Whereas CFA verified the factor structure of a set of observed variables. CFA is carried by SEM statistical technique. EFA is applied to extract the factors in FMS by The Statistical Package for Social Sciences (SPSS 20) software and confirming these factors by CFA through Analysis of Moment Structures (AMOS 20) software. The fifteen performance variables are identified through literature, and three factors extracted, which involves the performance of FMS. The three factors are Quality, Productivity and Flexibility. SEM using AMOS 20 was used to perform the first order three factor structure. GTMA is a Multiple Attribute Decision Making (MADM) Methodology used to find intensity/quantification of performance variables in an organization. The FMS Performance Index has purposed to intensify the factors which affect FMS. © 2015 Elsevier B.V. All rights reserved.
Malhotra V.,YMCA University of Science and Technology
International Journal of Industrial and Systems Engineering | Year: 2014
The reconfigurable manufacturing system is a new manufacturing systems paradigm that aims at achieving cost effective and rapid system changes. The RMS is designed for rapid change in structure in order to quickly adjust production capacity and functionality with in part family in response to sudden change in market. There are certain factors, which affects reconfigurable manufacturing system to implement in the industries. The main objective of this paper is to understand the mutual interaction of these factors and identify the 'driving factors' (i.e., which influence the other factors) and the 'dependent factors' (i.e., which are influenced by others). In the present work, these factors have been identified through the literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilised in analysing their mutual interaction. An ISM model has been prepared to identify some key factors and their managerial implications in the implementations of reconfigurable manufacturing system. © 2014 Inderscience Enterprises Ltd.
Kapoor R.,Delhi Technological University |
Dhamija A.,YMCA University of Science and Technology
IET Computer Vision | Year: 2012
This study introduces a new potential function-based modelling approach for real-time object tracking with single camera. Real-time tracking requires the least complex techniques for processing and classification and still provide accurate results. Particle filter-based algorithms allow accurate estimations of the displacement and scaling of the object for tracking, but at the cost of high computational complexity and complicated modelling. Also, the existing single-camera tracking systems lack the ability to predict the direction of motion of the object and their performance is significantly affected by occlusions. This study proposes a new method to address these four key issues. The method is principally based upon the potential function, which has been modified for motion image sequences. Potential function uses the current estimates of non-linear scaling and drift vector with a priori knowledge of the object to compute the tracking parameters in the form of diffusion matrices. The concept of attractors and repellers inside a potential field has been used in analogy to classify different directions of motion in the image plane, such that the object tends to drift towards the attractors and away from repellers. Attractor for every consecutive pair of frames is estimated using the set of transformations (displacement and scaling) occurred due to the motion in a particular direction. The proposed technique works well with minimal tracking errors and a computational complexity of O(1). © 2012 The Institution of Engineering and Technology.
Sonia,YMCA University of Science and Technology
International Conference on Computing, Communication and Automation, ICCCA 2015 | Year: 2015
Internet is becoming an integral part of everyday life and email has become a powerful tool to exchange ideas and information. Through email users connect socially and commercially. But mass mailing i.e. Spam has become one of the biggest worldwide problem. So there is requirement to develop a spam filter which can detect the spam and can stop the mass mailing. In this paper, Latent Semantic Indexing (LSI) approach is used for spam filtering. Latent semantic indexing (LSI) is an indexing and retrieval method which uses singular value decomposition (SVD) to find the relationships between the terms and unstructured collection of message. LSI is based on the principle that terms that are used in the same contexts tend to have similar meanings. Apart from this spam are obtained more or less abundant replications in a significant numbers. The detection of these duplicates is important because it allows to lighten email box and will improve the efficiency of spam filter. The Duplicate Message Detection Techniques (DMDT) has been used to improve the efficiency and effectiveness of spam filter. © 2015 IEEE.
Garg V.K.,Guru Jambheshwar University of Science and Technology |
Gupta R.,YMCA University of Science and Technology
Ecotoxicology and Environmental Safety | Year: 2011
This paper reports the optimization of cow dung (CD) spiked pre-consumer processing vegetable waste (PPVW) for vermicomposting using Eisenia fetida in a laboratory scale study. Vermicomposting process decreased carbon and organic matter concentration and increased N, P and K content in the vermicompost. The C:N ratio was decreased by 45-69% in different vermireactors indicating stabilization of the waste. The heavy metal content was within permissible limits of their application in agricultural soils. It has been concluded from the results that addition of PPVW up to 40% with CD can produce a good quality vermicompost. Whereas, growth and fecundity of E. fetida was best when reared in 20% PPVW+80% CD feed mixture. However, higher percentages of PPVW in different vermireactors significantly affected the growth and fecundity ofworms. © 2010 Elsevier Inc.
Kumar K.,YMCA University of Science and Technology |
Aggarwal M.L.,YMCA University of Science and Technology
International Journal of Industrial Engineering Computations | Year: 2013
This paper describes computer aided finite element analysis of parabolic leaf spring. The present work is an improvement in design of EN45A parabolic leaf spring used by a light commercial automotive vehicle. Development of a leaf spring is a long process which requires lots of test to validate the design and manufacturing variables. A three-layer parabolic leaf spring of EN45A has been taken for this work. The thickness of leaves varies from center to the outer side following a parabolic pattern. These leaf springs are designed to become lighter, but also provide a much improved ride to the vehicle through a reduction on interleaf friction. The CAD modeling of parabolic leaf spring has been done in CATIA V5 and for analysis the model is imported in ANSYS-11 workbench. The finite element analysis (FEA) of the leaf spring has been carried out by initially discretizing the model into finite number of elements and nodes and then applying the necessary boundary conditions. Maximum displacement, directional displacement, equivalent stress and weight of the assembly are the output targets of this analysis for comparison & validation of the work. ©2013 Growing Science Ltd. All rights reserved.
Jangra K.,YMCA University of Science and Technology
International Journal of Industrial Engineering Computations | Year: 2012
Wire electrical discharge machining (WEDM) is well known process for generating intricate and complex profiles in hard metal matrix composites. But damaged surface layer with poor surface integrity is a major disadvantage of WEDM. Beside poor damaged surface layer, after rough/first cut in WEDM, some surface area remains unmachined on work surface during intricate machining such as in die cutting. This paper presents a study on unmachined surface area named as surface projection, in die cutting after rough cut in WEDM. Using scanning electron microscope images, length of unmachined surface projections have been determined. In order to minimize these surface projections from small cavities having complex geometries, trim cutting operation is the best alternative. Results show that using more than one trim cut with appropriate wire offset value, surface projections can be minimized, successfully. © 2012 Growing Science Ltd. All rights reserved.
Gambhir S.,YMCA University of Science and Technology |
Fatima N.,YMCA University of Science and Technology
International Conference on Advanced Computing and Communication Technologies, ACCT | Year: 2014
A Wireless Sensor Network (WSN) is a collection of small, self-contained electro-mechanical devices that monitor the environment conditions. There are many design issues for WSNs such as deployment, mobility, infrastructure, network topology, network size and density, connectivity, lifetime, node addressability, data aggregation etc. The hierarchical routing protocols are LEACH (Low-Energy Adaptive Clustering Hierarchy) is one of the routing protocols designed for communication in WSNs. LEACH is clustering based protocol that utilizes randomized rotation of local cluster-heads to evenly distribute the energy load among the sensors in the network.LEACH uses localized coordination to enable scalability and robustness for dynamic networks, and incorporates data fusion into the routing protocol to reduce the amount of information that must be transferred to the base station. But LEACH is based on the assumption that each sensor nodes contain equal amount of energy which is not valid in real scenarios. LEACH uses a TDMA based MAC protocol, in order to maintain balanced energy consumption. A number of these TDMA slots are wasted when the nodes have random data distribution. A modification to existing LEACH protocol is needed in order to use the slots corresponding to nodes that do not have data to send at its scheduled slot. This paper presents a new version of LEACH protocol called OP-LEACH which aims to reduce energy consumption within the wireless sensor network. Both existing LEACH and proposed OP-LEACH are evaluated through extensive simulations using OMNET++ simulator which shows that Op-LEACH performs better than LEACH protocol. © 2014 IEEE.
Jain V.,Amity University |
Raj T.,YMCA University of Science and Technology
International Journal of Industrial and Systems Engineering | Year: 2015
The purpose of this paper is to investigate the intensity of variables of the flexible manufacturing system (FMS) which affect flexibility in FMS. The study was performed by conducting a cross-sectional survey within manufacturing firms in India through exploratory factor analysis (EFA) and graph theory and matrix approach (GTMA). By performing EFA, factor structure is identified whereas GTMA quantified the factor structure of a set of observed variables. GTMA is a multiple attribute decision making (MADM) methodology used to find the intensity of variables in an organisation. In this paper, EFA is applied to extract the factors in FMS by The Statistical Package for Social Sciences (SPSS 20) software and evaluation of intensity of variables affecting flexibility in FMS by GTMA. Fifteen variables are identified through literature, and four factors extracted, which involves the flexibility of FMS in production flexibility, machine flexibility, product flexibility, and volume flexibility. Copyright © 2015 Inderscience Enterprises Ltd.
Attri R.,YMCA University of Science and Technology |
Grover S.,YMCA University of Science and Technology |
Dev N.,YMCA University of Science and Technology
International Journal of Production Research | Year: 2014
Total productive maintenance (TPM) is an innovative approach to maintenance which holds the potential for enhancing effectiveness of production facilities. But, implementation of TPM is not an easy task. Innumerable barriers are encountered in real-life cases during TPM implementation. It is very essential to evaluate the nature and impact of these barriers so that production and maintenance managers can cultivate some strategies to overcome these barriers. In the present exertion, a graph theoretic approach has been applied to find the intensity of these barriers through an index which is computed through a permanent function obtained from the digraph of TPM barriers. © 2013 Taylor & Francis.