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.

Empirical assessment of critical success factors of leagile manufacturing using fuzzy DEMATEL approach

Abstract: Leagile manufacturing has emerged as an innovative strategy in the last two decades In this paper, critical success factors (CSFs), affecting leagile manufacturing, have been identified through literature review and discussion with industrialists and academics Fuzzy decision making trial and evaluation laboratory (DEMATEL) technique have been applied to divide the CSF's into cause and effect categories It has been found that critical success factors 1 (collaborative relationship), 3 (strategic management), 5 (customer and market sensitiveness), 7 (human resource management), 11 (flexible manufacturing system), 12 (knowledge and IT management), 14 (availability of funds), and 15 (benchmarking) falls under cause group while critical success factors like 2 (management support towards implementation of policy), 4 (training and development programs), 6 (design and engineering), 8 (virtual enterprises), 9 (use of advance manufacturing technologies), 10 (supply chain management), and 13 (rapid reconfiguration) falls under effect group The research will help the managers to identify the key factors and work accordingly in proper directions to implement leagile system in their organisations Leagile system results in increased profitability, better quality of products, better customer satisfaction, better sales, increased productivity, increased sales, reduced manufacturing lead time, etc

Optimisation of AGVs path layout in flexible manufacturing system using 0–1 linear integer programming

Abstract: The use of AGVs has grown enormously since their introduction. The number of areas of application and variation in types has increased significantly. Flow path design is an important factor in the design of automated guided vehicle systems (AGVS). In this paper, problem of optimal flow path layout design of automated guided vehicles in the flexible manufacturing system is discussed. The problem is analysed and formulated as 0–1 linear integer programming model with the objective of minimising the total distance travelled by individual loaded AGV. An illustrative example of a layout consisting of four manufacturing cells with 16 nodes and 19 arcs is discussed to demonstrate the approach. In this approach only the movement of loaded vehicles with the unidirectional flow is considered. A general linear optimisation computer software package, named LINGO 14 is used to find out the optimal flow path for the layout.

A Multi-factored Cost- and Code Coverage-Based Test Case Prioritization Technique for Object-Oriented Software

Abstract: Test case prioritization is a process to order the test cases in such a way that maximum faults are detected as earlier as possible. It is very expensive to execute the unordered test cases. In the present work, a multi-factored cost- and code coverage-based test case prioritization technique is presented that prioritizes the test cases based on the percentage coverage of considered factors and code covered by the test cases. For validation and analysis, the proposed approach has been applied on three object-oriented programs and efficiency of the prioritized suite is analyzed by comparing the APFD of the prioritized and non-prioritized test cases.

AHP-VIKOR-based methodology for determining maintenance criticality

Abstract: The paper aims to develop a new methodology based on integrated multi-attribute decision making approaches, i.e., analytic hierarchy process (AHP) and Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) technique for finding the maintenance criticality of the system by ranking its failure causes. The ranking is framed by considering five criteria namely likelihood of failure occurrence, likelihood of non-detection, downtime length, standby part criticality and safety risk. In the proposed methodology, first the priority weight of each criterion is calculated by using AHP approach and then VIKOR method is applied for finding the ranking of failure causes in order to select the proper maintenance strategy. An actual case study of pulping system for a paper production industry is performed to select the maintenance strategy in order to demonstrate the use of the proposed methodology.