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 crawler & Web page. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Integrated MCDM for Benchmarking Techniques in Indian Service Industries

Abstract: Industries need to ascend their standards for competitiveness and adopt modern methods with techniques for effectiveness of their system which occurs through convention of benchmarking techniques. The rationale of the study is to review the benchmarking techniques and moreover to rank on the basis of their application in service industries. To rank the benchmarking, analytical network process and technique for order preference by similarity to ideal solution (TOPSIS) methods are used. An integrated model of multi-criteria decision-making (MCDM) is used for prioritizing the best practices in Indian service sector. The study identifies different types of benchmarking techniques among which generic benchmarking, external benchmarking and internal benchmarking occupy the first three ranks, providing basis for several critical success factors (CSFs) like planning, reliability, standardization, time behavior and usability as the more important parts of benchmarking. Thus, an endeavor has been made by authors to give a model for evaluation of benchmarking techniques through MCDM which gives confidence for executives to adopt benchmarking in their industries.

Spam filtering by semantic indexing and duplicate detection

Abstract: 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.

An analysis and modelling of selected barriers for a sustainable manufacturing system using ISM technique

Abstract: Traditional manufacturing is largely focused on economics but are attributable for environmental degradation, ecological imbalance and several other negative connotations. To cope up with these challenges, manufacturers have to adopt manufacturing practices amenable to sustainable manufacturing system (SMS). However, transitioning to SMS is a challenging task because a gamut of complex barriers hinders its successful implementation. Data extracted from the reviewed literatures and aptly complimented by the responses of experts, helped in identifying various barriers that are considered as critical from sustainability viewpoint. A focused group discussion (FGD) group consisting of a few experts from steel industry prepared a questionnaire incorporating these barriers. An analysis using interpretive structural modelling (ISM) reveal that lack of government support towards developing new technologies is the most important barrier towards the attainment of SMS. Insights from this analysis will benefit decision-makers in formulating suitable strategies to mitigate the ill-effects of these barriers.

An AHP-based comparison between automated and manual material handling systems in FMS environment

Abstract: Flexible manufacturing is a process which permits production systems to perform under high customised production needs. The goals of manufacturing systems like minimum inventories, improved quality, enhanced technical performance and reduction of cost can be achieved by implementing the FMS. Material handling system plays a very important role and consumes a significant amount of cost and time in flexible manufacturing system (FMS). Since a lot of factors affect the material handling system, so selection of best suitable material handling system which optimises all these factors is a big problem before any material manager. The purpose of this study is to present a multi-criteria decision making comparison model which would be very useful for choosing better alternative between automated and manual material handling system (MMHS). Analytical hierarchy process (AHP)-based comparison is performed upon these attributes to select the best alternative between manual material handling system and automated material handling system (AMHS).

Analysis of lean practices in manufacturing industries: an ISM approach

Abstract: The role of lean manufacturing (LM) has increased with an increase competition in global market. A customer wants to buy a product at the lowest possible price without compromising quality. To overcome this problem, the role of lean manufacturing has been introduced. Lean manufacturing is capable for waste reduction without compromising both quality and productivity. To fulfil this purpose, 13 practices of LM have been identified through literature review and expert opinions from academics and industry experts. To identify the cross impact of LM practices, an interpretive structural modelling (ISM) approach have been utilised to find interrelation between these LM practices using MICMAC analysis. Results of this analysis are highly beneficial towards the implementation in industries getting lean.