YMCA University of Science and Technology

About: YMCA University of Science and Technology is a(n) education organization based out in Faridabad, India. It is known for research contribution in the topic(s): Web crawler & Web page. The organization has 299 authors who have published 568 publication(s) receiving 4547 citation(s).

Optimization of cow dung spiked pre-consumer processing vegetable waste for vermicomposting using Eisenia fetida.

Abstract: 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 of worms.

An ISM approach for modelling the enablers in the implementation of Total Productive Maintenance (TPM)

Abstract: Total Productive maintenance (TPM) is increasingly implemented by many organizations to improve their equipment efficiency and to obtain the competitive advantage in the global market in terms of cost and quality. But, implementation of TPM is not an easy task. There are certain enablers, which help in the implementation of TPM. The utmost need is to analyse the behaviour of these enablers for their effective utilization in the implementation of TPM. The main objective of this paper is to understand the mutual interaction of these enablers and identify the ‘driving enablers’ (i.e. which influence the other enablers) and the ‘dependent enablers’ (i.e. which are influenced by others). In the present work, these enablers have been identified through the literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilized in analysing their mutual interaction. An ISM model has been prepared to identify some key enablers and their managerial implications in the implementation of TPM.

Multi-objective thermo-economic optimization of solar parabolic dish Stirling heat engine with regenerative losses using NSGA-II and decision making

Abstract: The proposed work investigates optimal values of various decision variables that simultaneously optimize power output, overall thermal efficiency and thermo-economic function of solar driven Stirling heat engine with regenerative heat losses, conducting thermal bridging losses using evolutionary algorithm based on second version of non-dominated sorting genetic algorithm (NSGA-II) in matrix laboratory (MATLAB) simulink environment. Effects of design parameters as absorber temperature, concentrating ratio, radiative and convective heat transfers are considered for the investigation. Pareto frontier is obtained for triple and dual objectives and the best optimal value is selected through four different decision making techniques viz. Fuzzy Bellman-Zadeh, Shannon’s entropy, LINMAP and TOPSIS. The optimum values of average absorber temperature and concentrating ratio are found to be 1168 K and 1300, respectively. Triple objective evolutionary approach applied to the proposed model gives power output, overall thermal efficiency and thermo-economic function as (38.96 kW, 0.2392, 0.3124) which are 17.09%, 35.09% and 10.74%, respectively lower in comparison with reversible system. With the objective of error investigation, the average and maximum error of the obtained results are reckoned at last.

Analysis of barriers of total productive maintenance (TPM)

Abstract: In the highly competitive environment, to be successful and to achieve world-class-manufacturing, organizations must possess both efficient maintenance and effective manufacturing strategies. A strategic approach to improve the performance of maintenance activities is to effectively adapt and implement strategic TPM initiatives in the manufacturing organizations. Total productive maintenance (TPM) is not easy to adopt and implement, due to presence of many barriers. The purpose of this paper is to identify and analyse these barriers. A questionnaire based survey was conducted to rank these barriers. The results of this survey and interpretive structural modelling approach have been used to model and analyse key barriers and drive managerial insights.

Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach

Abstract: 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.