Building information modeling as a tool for prevention ofdesign defects

Purpose In recent decades, professionals in the architecture, engineering and construction industry have come to recognize building information modeling (BIM) as one of the most powerful technologies available to ensure successful project outcomes. The purpose of this paper is to explore the benefits of BIM on design defect prevention during the design phase of building projects. Design/methodology/approach The authors qualitatively analyzed 160 design defect leading indicators (LIs) to identify key themes for design defect prevention. Then, by matching appropriate BIM functionalities to each key LI theme, they identified BIM-supported key LI themes. Findings The result of this paper served as the foundation of a BIM-based key design processes framework, which identifies the necessary data, project parties, actions and applicable BIM functions for preventing particular design defects. In addition, the authors found that BIM implementation can benefit 71.2% of the LIs of the design defects associated with problematic deliverables. Originality/value This study establishes the current state of BIM use for design defect prevention and also gives practitioners precisely targeted guidelines for using BIM functions during the design phase for better quality management.

LEAN MANUFACTURING PRACTICES AND SUPPLY CHAIN PERFORMANCE OF SUGAR MANUFACTURING FIRMS IN WESTERN KENYA

Introduction: Western Kenya is the largest producer of sugar in Kenya, supporting about 170,000 smallholder farming households and contributing about 80 percent of the total sugar produced in Kenya. This contribution is however threatened given that the sugar firms in that region are producing sub optimally with obsolete technology. Comparing to related sector, other firms in Kenya such as the tea manufacturing firms have implemented energy efficiency practices so as to manage energy wastage and reduce production costs. Were they to employ effective production methods, they could increase their production significantly. While that is the case, scholars have suggested that adoption of lean manufacturing practices is a panacea to quality addition and waste minimization. Perhaps what these firms need are lean practices. Purpose: This study interrogated the extent to which the firms have adopted lean manufacturing practices, just-in-time and total quality control and if they have, its effect on supply chain performance. Methodology: The study targeted and conducted a census on the 11 sugar manufacturing firms in the Western Kenya belt where the procurement managers, line managers, finance managers, production managers, production engineers, quality assurance officers and operations managers of each of the 11 firms (total 87) were targeted. The study employed a descriptive research design to collect quantitative data. Quantitative primary data was collected through questionnaires and analyzed using statistical package for social sciences. Findings: The findings of the study indicated that the just in time productionand total quality control are positively and significantly associated with supply chain performance of the sugar manufacturing firms. Unique Contribution to Practice and Policy: The study recommended adoption of just in time production practices such as availing labor on demand in order to manage labor costs, availing resources on demand in order to manage wastage, production on demand in order to manage inventory costs, ordering raw materials from the suppliers only when there is demand for production from customers, having a simplified production design to ensure timely production and having multiple skilled workers to ensure faster production. In addition, in order for the sugar manufacturing firms to increase supply chain performance, there is need to adopt total quality control practices such as having manageable defect prevention costs related to quality planning, putting in place manageable defect prevention costs related to investment in quality related information systems, having manageable appraisal costs related to test and inspection of purchased materials, having manageable appraisal costs related to quality audits, having controllable internal failure costs related to reworks and having manageable internal failure costs related to scrap.

Determination of Rational Processing Modes Based on Electromagnetic Properties of Tool Materials

Currently, enterprises appoint cutting conditions according to reference data or on the recommendations of manufacturers. Often this information does not provide rational processing conditions. The situation is getting worse if we talk about modern automated metalworking equipment. The tool's premature failure involves high economic losses due to damage to the processed detail surface and according to receiving a manufacturing defect. Prevention of premature exit of metalworking tools will allow investigating changes of their operability under the effect of temperatures arising during cutting. Research subject: interchangeable cutter elements (plates) The goal of research: determine rational machining conditions based on electromagnetic properties of instrumental materials.The article analysed existing methods for determining the temperatures of the ultimate operational capability of cutting elements from tool hard alloys (THA). We analysed the existing test facilities. As a result, a new facility was developed to determine the temperature of the ultimate operational capability of cutting THA elements, eliminating existing devices' identified shortcomings. A description of the developed method of determining the temperature of ultimate operational capability by changing the electrical conductivity of cutting elements from instrumental two-carbide titanium-tungsten-cobalt hard alloys WC-TiC-Co is given. As a result of the work, electrical conductivity was studied depending on alloys' test temperature of group WC-TiC-Co. We determined the temperature conditions of ultimate operational capability of alloys 15%TIC+79%WC+6%CO, 5%TIC+75%WC+10%CO and obtained the corresponding temperature range of ultimate operational capability based on the obtained data. The obtained results can be used to determine rational cutting conditions when processing with these tool materials.

Mutation Testing and Its Analysis on Web Applications for Defect Prevention and Performance Improvement

The society's increasing reliance on web applications with the growing online market and digitization of almost every service, there is an increasing demand for better reliability, security, and interoperability of web applications. Testing becomes an integral part of improving this reliability on web applications. Despite the innumerable number of tools, techniques, methods for testing web applications, there is still scope for expansion in the code coverage of web applications. Mutation testing with its expansive potential to expose vulnerabilities of web applications took a backseat owing to its exhaustive testing cycles. Some mutation operators related to security, performance, and other non-functional attributes of web applications are presented in the current work. In the current work, a thorough analysis of various mutations operators proposed by authors towards the non-existent operators thus far is presented. An augment of 47% of operators occurred in the present work. A concise discussion on the scope of work future direction of work is presented.

A Defect Prevention Concept Using Artificial Intelligence

Defect prevention is particularly critical in operations such as aircraft assembly or service. Failure Modes and Effects Analysis (FMEA) procedures have been deployed manually for many years. However, the manual procedures fail to utilize capability to build intelligence into inspection processes that can facilitate elimination of human error. In this work, we introduce an artificial intelligence (AI)-based concept that can iteratively learn to assure zero defects from a given inspection process. This work introduces a schema that can serve as a knowledge management framework in a relational database for instantiation with inspection process information and data from a detection system. A companion algorithm is presented for the case of a wiring harness bracket installation in a fuselage. The schema and algorithm analyze and assess potential defects posed by Foreign Object Debris (FOD) in parallel to the assembly inspection. A closed loop of logic was introduced to enable anomaly detection by this algorithm to assure zero defects.

Perilaku Pencegahan Cacat Pada Pasien Kusta

Leprosy occurs due to impaired neurological function in the eyes, hands or feet. The principle of the prevention of disability and the severity of disability is essentially 3M: Checking the eyes, hands and feet regularly, protecting the eyes, hands and feet from physical trauma and self-care. The purpose of this study is to study the behavior of prevention of defects and the increase of defects in leprosy patients in the Outpatient Installation of Leprosy Hospital Kediri. The design of this study is descriptive. The population of this research is leprosy patient with purposive sampling technique of 92 subjects. Variables are preventive behaviors, data collection using structured interviews. Analyzed using frequency distribution. The result of this research is 54,3% leprosy patients have defect prevention behavior and less defect and 45,7% of leprosy patients have defect prevention behavior and sufficient defect increase. It was concluded that leprosy patients in the Outpatient Installation of Leprosy Hospital Kediri have defect prevention behavior and less defect increment.