Robustness evaluation of coal mine based on FAHP and DST

Enterprise quality management robustness describes the effectiveness of quality management error-proofing system. In accordance with fuzzy analytic hierarchy process (FAHP) and Dempster-Shafer theory (DST), this research constructs the evaluation model of the quality management robustness of coal mine establishes the evaluation index system from seven aspects and three levels, and puts forward the evaluation method. At last, the effectiveness of the error-proofing system of coal mining enterprise is verified.

Survey of Nursing Faculty Preparation for Guiding DNP Quality Improvement Projects

BackgroundQuality improvement (QI) projects comprise the majority of University of Maryland School of Nursing (UMSON) Doctor of Nursing Practice (DNP) projects.MethodsAn online survey was completed by 51% (n = 38) of faculty, who teach or mentor DNP students, and was analyzed using quantitative and descriptive methods.ResultsFaculty were somewhat or not familiar with developing a QI charter 68.4%, human error theory and error proofing 63.2%, driver diagrams 60.5%, characteristics of high-reliability organizations 60.5%, and Standards for Quality Improvement Reporting Excellence (SQUIRE) guidelines 55.3%. The faculty were most interested in learning more about (n = 97 responses) were human error theory and error proofing (28.9%), SQUIRE guidelines (26.3%), statistical process control (21.1%), and implementation strategies and tactics (21.1%). The most commonly identified challenges included identifying QI projects (24%), project time constraints (16%), keeping up-to-date on QI concepts, methods, and tools (12%), and balancing professional workload (10%).ConclusionsGaps in self-reported QI knowledge indicate there is a need for further development of DNP and PhD prepared faculty at the UMSON.

Failure mode and effect analysis (FMEA) of radiotherapy

Learning outcomes Learning outcomes are as follows: students will discover the importance of process orientation in management; students will determine the root cause of the problem by applying root cause analysis technique; students will identify the failure modes, analyze their effect, score them on a scale and prioritize the corrective action to prevent the failures; students will analyze the processes and propose error-proof system/s; and students will analyze organizational culture and ethical issues. Case overview/synopsis Purpose: This case study is intended as a class-exercise, for students to discover the importance of process-orientation in management, analyze the ethical dilemma in health care and to apply quality management techniques, such as five-why, root cause analysis, failure mode and effect analysis (FMEA) and error-proofing, in the management of the health-care and service industry. Design/methodology/approach: A voluntary reporting of a case of “radiation overdose” in a hospital’s radio therapy treatment unit, which led to an ethical dilemma. Consequently, a study was conducted to establish the causes of the incident and to develop a fail-proof system, to avoid recurrence. Findings: After careful analysis of the process-flow and the root causes, 25 potential failure modes were detected and the team had assigned a risk priority number (RPN) for each potential incident, selected the top ten RPNs and developed an error-proofing system to prevent recurrence. Subsequently, the improvement process was carried out for all the 25 potential incidents and a new control mechanism was implemented. The question of ethical dilemma remained unresolved. Research limitations/implications: Ishikawa diagram, FMEA and Poka-Yoke techniques require a multi-disciplinary team with process knowledge in identifying the possible root causes for errors, potential risks and also the possible error-proofing method/s. Besides, these techniques need frank discussions and agreement among team members on the efforts for the development of action plan, implementation and control of the new processes. Practical implications: Students can take the case data to identify root cause analysis and the RPN (RPN = possibility of detection × probability of occurrence × severity), to redesign the protocols, through systematic identification of the deficiencies of the existing protocols. Further, they can recommend quality improvement projects. Faculty can navigate the case session orientation, emphasizing quality management or ethical practices, depending on the course for which the case is selected. Complexity academic level MBA or PG Diploma in Management – health-care management, hospital administration, operations management, services operations, total quality management (TQM) and ethics. Supplementary materials Teaching Notes are available for educators only. Subject code CSS 9: Operations and Logistics.

Process Optimization to Eliminate Automatic Alignment Failures on the Scalable Device

The paper focused in addressing the auto align defect at in-strip testing of a semiconductor scalable device in a leadframe technology. Pareto diagram and potential risk analysis were completed to identify the top reject contributors and eventually come-up with the robust solution. Reverse flow was employed to eliminate the alignment issues. The reverse flow, which is testing prior singulation process, eventually resolved the auto align and other singulation related defects as testing is done on a strip form. Ultimately, the error-proofing or Poka-Yoke approach by reverse flow lead to the elimination of auto align failures at final test. For future works, the parameters and learnings could be used on devices with similar assembly defect occurrence.