Browse Topic: Total quality management
The main purpose of this research is to identify how the established quality methodologies, known worldwide as TQC (Total Quality Control) and TQM (Total Quality Management) are supported by the tools of the Quality 4.0 concept that similarly received influence from the disruptive technologies of Industry 4.0 in the last decade. In order to crosscheck the relationship among TQC and TQM and how Quality 4.0 supports these quality systems a qualitative investigation method was adopted through a survey questionnaire applied to one of the most important worldwide automobile company, based also in Brazil, Toyota of Brazil. Based on a literature review and relationship of concepts and synergy among them it was possible analyse and find out conclusions of this research work. The main results were identified as TQC and TQM are very well established concepts of quality and Quality 4.0 concepts and tools have been implemented on a path according to the markets importance prioritization, so then Toyota of Brazil is implementing in a slow motion, but started up using technologies of Industry 4.0 on Quality, promoting a leverage of excellence on quality function overall organization and settling down this Quality 4.0 level.
ABSTRACT Reliability Physics simulations for electronic assemblies has matured to become best practice during specification and design. However, the potential advantages of these simulations to programs and integrators are more far reaching. This paper will explore how the simulations can be used for virtual qualification, reliability assurance, maintenance scheduling and obsolescence management. Citation: Ed Dodd, “Reliability Simulations for Electronic Assemblies: Virtual Qualification, Reliability Assurance, Maintenance Scheduling and Obsolescence Mitigation”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 13-15, 2019.
Medical device manufacturers are experiencing an ever-increasing emphasis on process accountability. ADAM (Advanced Data Analysis Monitor) is a technology developed for resistance welding that gives manufacturers the information they need to support process development and production monitoring. It also supplies the data necessary to document quality requirements contained in ISO (International Organization for Standardization), good manufacturing practice (GMP), and total quality management (TQM) programs. The instrument monitors not only what happens after the trigger point of a typical weld monitor, but also before the trigger point, giving a 360-degree view of the process.
This AIR by the G-11AT (Automation and Tools) subcommittee, examines the failure mode, effects and criticality analysis (FMECA) requirements and procedures as performed on current and earlier vintage engineering programs. The subcommittee has focused on these procedures in relation to the concurrent engineering (CE) environment to determine where it may be beneficial, to both FMECA analysts and users, to automate some or all of the FMECA processes. Its purpose is to inform the reader about FMECAs and how the FMECA process could be automated in a concurrent engineering environment. There is no intent on the part of the authors that the material presented should become requirements or specifications imposed as part of any future contract. The report is structured to include the following subjects: a A FMECA overview b The current FMECA process c FMECA in the concurrent engineering environment d FMECA automation e The benefits of automation
Successful rotorcraft development integrates conflicting design criteria, complex geometry, intricate manufacturing processes and detailed support methods. It involves a long design cycle, elaborate subsystem interactions and enormous quantities of data. The evaluation of these issues as design criteria during development is an application of the systems approach to design, now commonly known as Concurrent Engineering, This occurs when there is simultaneous design and optimization of the product, its manufacturing processes and support processes. World market pressures, a shrinking defense budget and desire by the customer warrant rotorcraft development based on the philosophy of Concurrent Engineering. Four features have been identified as essential elements of Concurrent Engineering. These are: a top-down systems engineering approach to organize a cross-functional development team; use of interdisciplinary work groups for integrated product and process design; employment of quality engineering methods for effective product and process optimization; and an integrated computer-aided-engineering environment with simulation to prove out downstream design criteria prior to production and provide information for swift decision-making. In the LH SuperTeam approach, a Total Quality Management plan during preliminary design sketches the classical Systems Engineering Management Plan; natural work groups comprised of representatives for the total system life cycle participate in the design effort; and first-time-quality methods are introduced early in conceptual design. Ultimately, a computer-based design management system termed the Integrated Design Environment-Aircraft is created. The database is employed to structure rotorcraft life-cycle product information to create an integrated weapons system database. Disparate dataforms and datatypes are captured, organized, manipulated and disseminated in a rapid and responsive manner.
A large number of Apache Helicopter wire harness failures were attributed to faulty electrical connections. Further investigation showed that 43% of all unscheduled electrical repairs involved broken wires and connectors. Through interviews with army field maintenance personnel, bad wire-to-pin crimps were identified as the major problem. To help solve this problem, a Taguchi styled design of experiment was selected to optimize the wire-to-pin crimping process. To define factors necessary for testing, a natural work group was assembled. Group members came from various departments such as Electrical System Design, Manufacturing Research and Development, Quality Assurance, Total Quality Management and Systems Engineering. Team members became involved in all aspects of defining factors, designing experiments, conducting tests, analyzing results, preparing recommendations, and implementing corrective action. Six experimental control factors were chosen as follows: 1) Crimp type; 2) Crimp depth; 3) Strip length; 4) Window centering; 5) Operators and; 6) Wire vendors. Three of the factors were varied between the acceptable extremes of applicable military standards. The measure of a good crimp was determined to be crimp strength and conductivity. Therefore, the experiment was set up to optimize these properties. A visual inspection of the crimp was also required to ensure crimp indentations were 90 degrees to each other and that all wire strands were inserted into the pin. Through the use of Taguchi methods, crimp depth was identified as the major contributor to the strength of a crimped connection. Furthermore, crimping the connection using a setting one under the nominal value, or under crimping, yielded the highest pull strength response. Also, under crimped connections are more tolerant to different vendor’s wire as well as to different quality of wire.
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