Development of the Integrated Model of the Automotive Product Quality Assessment

Issues on building an integrated model of the automotive product quality assessment are studied herein basing on widely applicable methods and models of the quality assessment. A conceptual model of the automotive product quality system meeting customer requirements has been developed. Typical characteristics of modern industrial production are an increase in the production dynamism that determines the product properties; a continuous increase in the volume of information required for decision-making, an increased role of knowledge and high technologies implementing absolutely new scientific and technical ideas. To solve the problem of increasing the automotive product quality, a conceptual structural and hierarchical model is offered to ensure its quality as a closed system with feedback between the regulatory, manufacturing, and information modules, responsible for formation of the product quality at all stages of its life cycle. The three module model of the system of the industrial product quality assurance is considered to be universal and to give the opportunity to explore processes of any complexity while solving theoretical and practical problems of the quality assessment and prediction for products for various purposes, including automotive

Intelligent Systems

This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier

DEVELOPMENT OF THE INTEGRATED MODEL OF THE AUTOMOTIVE PRODUCT QUALITY ASSESSMENT

Issues on building an integrated model of the automotive product quality assessment are studied herein basing on widely applicable methods and models of the quality assessment. A conceptual model of the automotive product quality system meeting customer requirements has been developed. Typical characteristics of modern industrial production are an increase in the production dynamism that determines the product properties; a continuous increase in the volume of information required for decision-making, an increased role of knowledge and high technologies implementing absolutely new scientific and technical ideas. To solve the problem of increasing the automotive product quality, a conceptual structural and hierarchical model is offered to ensure its quality as a closed system with feedback between the regulatory, manufacturing, and information modules, responsible for formation of the product quality at all stages of its life cycle. The three module model of the system of the industrial product quality assurance is considered to be universal and to give the opportunity to explore processes of any complexity while solving theoretical and practical problems of the quality assessment and prediction for products for various purposes, including automotive

InfoTech Update, Volume 4, Number 2, Winter 1995

https://egrove.olemiss.edu/aicpa_news/4951/thumbnail.jp

Web-based strategies in the manufacturing industry

The explosive growth of Internet-based architectures is allowing an efficient access to information resources over geographically dispersed areas. This fact is exerting a major influence on current manufacturing practices. Business activities involving customers, partners, employees and suppliers are being rapidly and efficiently integrated through networked information management environments. Therefore, efforts are required to take advantage of distributed infrastructures that can satisfy information integration and collaborative work strategies in corporate environments. In this research, Internet-based distributed solutions focused on the manufacturing industry are proposed. Three different systems have been developed for the tooling sector, specifically for the company Seco Tools UK Ltd (industrial collaborator). They are summarised as follows. SELTOOL is a Web-based open tool selection system involving the analysis of technical criteria to establish appropriate selection of inserts, toolholders and cutting data for turning, threading and grooving operations. It has been oriented to world-wide Seco customers. SELTOOL provides an interactive and crossed-way of searching for tooling parameters, rather than conventional representation schemes provided by catalogues. Mechanisms were developed to filter, convert and migrate data from different formats to the database (SQL-based) used by SELTOOL.TTS (Tool Trials System) is a Web-based system developed by the author and two other researchers to support Seco sales engineers and technical staff, who would perform tooling trials in geographically dispersed machining centres and benefit from sharing data and results generated by these tests. Through TTS tooling engineers (authorised users) can submit and retrieve highly specific technical tooling data for both milling and turning operations. Moreover, it is possible for tooling engineers to avoid the execution of new tool trials knowing the results of trials carried out in physically distant places, when another engineer had previously executed these trials. The system incorporates encrypted security features suitable for restricted use on the World Wide Web. An urgent need exists for tools to make sense of raw data, extracting useful knowledge from increasingly large collections of data now being constructed and made available from networked information environments. This explosive growth in the availability of information is overwhelming the capabilities of traditional information management systems, to provide efficient ways of detecting anomalies and significant patterns in large sets of data. Inexorably, the tooling industry is generating valuable experimental data. It is a potential and unexplored sector regarding the application of knowledge capturing systems. Hence, to address this issue, a knowledge discovery system called DISKOVER was developed. DISKOVER is an integrated Java-application consisting of five data mining modules, able to be operated through the Internet. Kluster and Q-Fast are two of these modules, entirely developed by the author. Fuzzy-K has been developed by the author in collaboration with another research student in the group at Durham. The final two modules (R-Set and MQG) have been developed by another member of the Durham group. To develop Kluster, a complete clustering methodology was proposed. Kluster is a clustering application able to combine the analysis of quantitative as well as categorical data (conceptual clustering) to establish data classification processes. This module incorporates two original contributions. Specifically, consistent indicators to measure the quality of the final classification and application of optimisation methods to the final groups obtained. Kluster provides the possibility, to users, of introducing case-studies to generate cutting parameters for particular Input requirements. Fuzzy-K is an application having the advantages of hierarchical clustering, while applying fuzzy membership functions to support the generation of similarity measures. The implementation of fuzzy membership functions helped to optimise the grouping of categorical data containing missing or imprecise values. As the tooling database is accessed through the Internet, which is a relatively slow access platform, it was decided to rely on faster Information retrieval mechanisms. Q-fast is an SQL-based exploratory data analysis (EDA) application, Implemented for this purpose

Distribution of environmental and social sustainability in supply chains : analysis of green and social bullwhip effects

Stakeholder demands for environmentally and socially sustainable operations are at an all-time high as the repercussions of global crises, such as climate change, are becoming clearer when business is conducted “as usual”. By better understanding the distribution of sustainability in supply chains, stakeholders could apply pressure on the least sustainable tiers of the chain. Green bullwhip effect refers to the transformation of external stakeholder pressure to environmental requirements within a supply chain. Stakeholders exert pressure on the most visible company in the downstream wherefrom each tier in the chain renders the requirements content- and implementation schedule-wise more stringent for the next-in-line to create a safety buffer or in anticipation of future demands. Environmental requirements, as a result, are tightest at the upstream of the supply chain. Green bullwhip effect has been studied to some extent, whereas possible social bullwhip effect has been scarcely explored. Instead of environmental requirements, in the case of social bullwhip effect, demands for social reforms are analogously magnified throughout the supply chain. These two phenomena could shed light on sustainability patterns in supply chains. Using environmental, social and corporate governance (ESG) data from 290 European companies involved in manufacturing supply chains, analysis of variance was applied to test for statistically significant differences between the group means, groups referring to different supply chain positions and industries. Each company was given a supply chain position and an industry attribute to test the distribution of sustainability between tiers, and between industries. Results support the existence of both green and social bullwhip effect to some extent. Industry was discovered to have no effect on sustainability. Results imply that stakeholders should turn their attention towards wholesale and retail activities, as they perform the worst in comparison to other tiers in a supply chain, namely end product manufacturers and raw material suppliers/component manufacturers

Stem Cell Therapy for Spinal Cord Injuries

Stem cell-based therapies are an emerging branch of medicine with the purpose of restoring tissue function for patients with serious injuries, such as a spinal cord injury. As a result, scientists and engineers are increasing research efforts in the field of regenerative medicine. Due to the delicate nature of stem cells, producing the large quantity required for a successful therapy has proved challenging. In recent years, research has shown the potential of stem cell-based therapies, and thus there is a need for the commercialization of these treatments. The proposed facility targets the demand for spinal cord injury treatments and can support production for both clinical trials and a commercial release. Bioreactors designed specifically for the culture and growth of stem cells have flexibility in their ability to support different stem cell lines for various therapies. Small reactors in parallel can easily adapt to changes in production size. This process also takes advantage of the best options currently available for purification and preservation to maximize the product yield. Due to the strict regulations set in place by the FDA and lack of adequate funding, there is an untapped market for stem cell therapies for spinal cord injuries. Approximately 250,000 people in the United States suffer from spinal cord injuries, varying in severity, and this patient base increases at a rate of 12,000 new injuries every year (“Spinal Cord Injury Facts and Figures”, 2009). Future markets include expansion into Europe and Asia. There are two steps to this proposal: the upstream process and the downstream process. The upstream process includes the scale-up, differentiation, and purification of human embryonic stem cells; the downstream process consists of the scale-up of neurons for injection. The upstream process will be built initially and yield enough cells for clinical trials, without incurring the capital costs of building the entire plant. Upon success of the clinical trials, the downstream process will be built for maximum production. The profitability of this proposal is based on running 26 batches a year at 1.02x1010 cells per batch or 2.66x1011 cells per year. By targeting 5,000 patients, two percent of the current market, and charging $45,000 per dose, a profitable profile can be created. Assuming 50$961,892,600, and 242.81% respectively. Using a 50% production capacity allows for higher profit margins upon expansion. The proposed plan will meet the need of this growing market

Computer Architecture in Industrial, Biomechanical and Biomedical Engineering

This book aims to provide state-of-the-art information on computer architecture and simulation in industry, engineering, and clinical scenarios. Accepted submissions are high in scientific value and provide a significant contribution to computer architecture. Each submission expands upon novel and innovative research where the methods, analysis, and conclusions are robust and of the highest standard. This book is a valuable resource for researchers, students, non-governmental organizations, and key decision-makers involved in earthquake disaster management systems at the national, regional, and local levels

NASA Tech Briefs, June 1994

Topics covered include: Microelectronics; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Report