Quality Data Management Based on Quality BOM in Product Lifecycle

2014 ◽  
Vol 556-562 ◽  
pp. 6487-6491
Author(s):  
Mei Qing Wang ◽  
Yun Hu
Keyword(s):  
Quality Improvement ◽  
Quality Management ◽  
Data Management ◽  
Evolution Process ◽  
Quality Data ◽  
Product Lifecycle ◽  
Organization Model ◽  
Hierarchical Relationship ◽  
Definition Of

Quality in product lifecycle is a new focus in quality management, which holds the promise of seamlessly integrating all the quality data produced throughout the life of a product. By analyzing the process of quality management in product lifecycle, the hierarchical relationship among the quality processes, quality objects, quality activities, quality data and quality improvement is clarified. The definition of quality BOM (Bill of Material) is specified in quality domain. The mapping relationship between quality BOM and product BOM is established. Based on quality BOM evolution process, an integrated organization model for quality data is put forward.

Research and Application of Assembly-Centered Lifecycle Quality Management System

2011 ◽  
Vol 127 ◽  
pp. 181-186
Author(s):  
Hui Yin ◽  
Yu Liang Luo ◽  
Yu Hao Deng ◽  
Hai Ping Zhu
Keyword(s):  
Quality Management ◽  
Quality Management System ◽  
Computer Integrated Manufacturing ◽  
Quality Analysis ◽  
Quality Data ◽  
Management Process ◽  
Quality Inspection ◽  
Product Lifecycle ◽  
Management Issues

Aiming at the quality management issues in manufacturing enterprise, this paper establishes the product lifecycle quality management (PLQM) system based on the architecture of SOA and the knowledge of computer integrated manufacturing. This assembly-centered PLQM system collects and analyzes the quality data by integrating different information systems. The system-crossing quality management process, and the mechanism of problem prevention are also included in this system to realize the quality problem tracing and run-to-zero quickly. Therefore, this PLQM system provides the decision making supports for the quality plan, quality inspection and quality analysis in the product's whole quality management process. These measures help guarantee the quality of the final product effectively.

scholarly journals ASSESSMENT AND QUALITY IMPROVEMENT IN COMPLIANCE ACTIVITY PROCESSES

2017 ◽  
Vol 2017 (1) ◽  
pp. 254-260
Author(s):  
Татьяна Школина ◽  
Tatyana Shkolina ◽  
Екатерина Изотикова ◽  
Ekaterina Izotikova
Keyword(s):  
Quality Improvement ◽  
Quality Management ◽  
Process Monitoring ◽  
Quality Index ◽  
Weighted Average ◽  
Quality Indices ◽  
Efficiency Assessment ◽  
Generalized Complex ◽  
Definition Of ◽  
Assessment Of Compliance

In the paper the assessment of the efficiency in a compliance activity process is considered. The peculiarity of this investigation is the integration of current procedures of quality management with quality meter-ing regulations. The range of quality indices in a co-pliance activity is offered. The assessment of compliance activity quality is offered for carrying out through the method of the formation of the generalized (complex) quality index with the use of quality metering regulations. A complex index is calculated according to the data of process monitoring in accordance with the principle of weighted average. An approach to the setting of planned values of quality indices is offered. The recommendations are given for the application of an expert method for the definition of factors of value weightiness. A scale for the interpretation of assessment results is shown. The introduction of critical values of quality indices for the recalculation of an efficiency assessment obtained with the use of a veto factor is offered. The results of the paper are of interest for managers of quality.

Design, implementation, and assessment of a metrics management system for quality improvement studies.

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 34-34
Author(s):  
Patrick Samedy
Keyword(s):  
Quality Improvement ◽  
Data Collection ◽  
Data Management ◽  
Cost Effective ◽  
Turnaround Time ◽  
Quality Data ◽  
Management Tool ◽  
P Value ◽  
Patient Encounter ◽  
Case Volume

34 Background: Research and quality improvement studies often involve an extensive amount of manual review of medical records. The effective management of this process is critical to the consistent, accurate, and cost effective collection and timely dissemination of quality data. Methods: The purpose of this paper is to introduce “OpenQA”, a data management tool designed specifically to help organize, track, and communicate data related to quality improvement studies. OpenQA is designed with ease of chart abstraction, efficiency of data collection, and data transparency as a goal, while providing reporting that support a range of activities related to data management tasks common to hospital quality management departments. The basic method behind OpenQA is to: (1) Provide a centralized online repository for measure related metadata; (2) automatically identify retrospective and prospective encounters that meet specified study inclusion/exclusion criteria; (3) extract key details from structured and unstructured data sources and then combine them to help quality auditors make compliance decisions; (4) provide a workflow engine that supports work lists, alerting and a feedback mechanism for metric stakeholders; (5) provide audit tracking to enable measurability of data collection efforts. Results: Favorable effects were realized post implementation across all measures of performance despite an increase in case volume. Results indicate a decrease in median audit turnaround time, defined as the time between the patient encounter and a decision is made by the auditor, by 23 days (85%). Results also indicate a decrease in the audit reporting turnaround time, defined as the time between the patient encounter and the compliance decision is made and reported. Both reductions were significant at a p value of < 0.05. Conclusions: We suggest that a tool designed to help streamline and standardize the quality improvement data collection process may offer the advantage of minimizing the resource utilization associated with data collection while improving data integrity and shortening the feedback loop.

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

Monitoring, Evaluation, Disease Surveillance, and Quality Improvement

2017 ◽  
Author(s):  
Joia S. Mukherjee
Keyword(s):  
Quality Improvement ◽  
Medical Records ◽  
Disease Surveillance ◽  
Program Planning ◽  
Health Data ◽  
Quality Data ◽  
Electronic Systems ◽  
Health Delivery ◽  
Use Of Data ◽  
Improve Health

Quality data are necessary to make good decisions in health delivery for both individuals and populations. Data can be used to improve care and achieve equity. However, systems for health data management were historically weak in most impoverished countries. Health data are not uncommonly compiled in stacks of poorly organized paper records. Efforts to streamline and improve health information discussed in this chapter include patient-held booklets, demographic health surveys, and the use of common indicators. This chapter also focuses on the evolution of medical records, including electronic systems. The use of data for monitoring, evaluation, and quality improvement is explained. Finally, this chapter reviews the use of frameworks—such as logic models and log frames—for program planning, evaluation, and improvement.

scholarly journals Quality management systems in Aboriginal Community Controlled Health Services: a review of the literature

2021 ◽  
Vol 10 (3) ◽  
pp. e001091
Author(s):  
Jenifer Olive Darr ◽  
Richard C Franklin ◽  
Kristin Emma McBain-Rigg ◽  
Sarah Larkins ◽  
Yvette Roe ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Quality Management ◽  
Health Service ◽  
First Nations ◽  
Quality Management System ◽  
Grey Literature ◽  
Models Of Care ◽  
Clinical Governance ◽  
Aboriginal Community ◽  
Continuous Quality

BackgroundA national accreditation policy for the Australian primary healthcare (PHC) system was initiated in 2008. While certification standards are mandatory, little is known about their effects on the efficiency and sustainability of organisations, particularly in the Aboriginal Community Controlled Health Service (ACCHS) sector.AimThe literature review aims to answer the following: to what extent does the implementation of the International Organisation for Standardization 9001:2008 quality management system (QMS) facilitate efficiency and sustainability in the ACCHS sector?MethodsThematic analysis of peer-reviewed and grey literature was undertaken from Australia and New Zealand PHC sector with a focus on First Nations people. The databases searched included Medline, Scopus and three Informit sites (AHB-ATSIS, AEI-ATSIS and AGIS-ATSIS). The initial search strategy included quality improvement, continuous quality improvement, efficiency and sustainability.ResultsSixteen included studies were assessed for quality using the McMaster criteria. The studies were ranked against the criteria of credibility, transferability, dependability and confirmability. Three central themes emerged: accreditation (n=4), quality improvement (n=9) and systems strengthening (n=3). The accreditation theme included effects on health service expenditure and clinical outcomes, consistency and validity of accreditation standards and linkages to clinical governance frameworks. The quality improvement theme included audit effectiveness and value for specific population health. The theme of systems strengthening included prerequisite systems and embedded clinical governance measures for innovative models of care.ConclusionThe ACCHS sector warrants reliable evidence to understand the value of QMSs and enhancement tools, particularly given ACCHS (client-centric) services and their specialist status. Limited evidence exists for the value of standards on health system sustainability and efficiency in Australia. Despite a mandatory second certification standard, no studies reported on sustainability and efficiency of a QMS in PHC.

scholarly journals Quality Control in Production Processes

2016 ◽  
Vol 19 (3) ◽  
pp. 77-83 ◽  
Author(s):  
Miroslav Prístavka ◽  
Martina Kotorová ◽  
Radovan Savov
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quality Management ◽  
Statistical Methods ◽  
Developed Countries ◽  
Basic Knowledge ◽  
Root Cause ◽  
Production Processes ◽  
Basic Quality ◽  
Quality Tools

AbstractThe tools for quality management are used for quality improvement throughout the whole Europe and developed countries. Simple statistics are considered one of the most basic methods. The goal was to apply the simple statistical methods to practice and to solve problems by using them. Selected methods are used for processing the list of internal discrepancies within the organization, and for identification of the root cause of the problem and its appropriate solution. Seven basic quality tools are simple graphical tools, but very effective in solving problems related to quality. They are called essential because they are suitable for people with at least basic knowledge in statistics; therefore, they can be used to solve the vast majority of problems.

Capturing sexual assault data: An information system designed by forensic clinicians and healthcare researchers

2017 ◽  
Vol 47 (1) ◽  
pp. 46-55 ◽  
Author(s):  
S Aqif Mukhtar ◽  
Debbie A Smith ◽  
Maureen A Phillips ◽  
Maire C Kelly ◽  
Renate R Zilkens ◽  
...  
Keyword(s):  
Information System ◽  
Sexual Assault ◽  
Data Management ◽  
Sexual Violence ◽  
Western Australia ◽  
Management System ◽  
Data Management System ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data

Background: The Sexual Assault Resource Center (SARC) in Perth, Western Australia provides free 24-hour medical, forensic, and counseling services to persons aged over 13 years following sexual assault. Objective: The aim of this research was to design a data management system that maintains accurate quality information on all sexual assault cases referred to SARC, facilitating audit and peer-reviewed research. Methods: The work to develop SARC Medical Services Clinical Information System (SARC-MSCIS) took place during 2007–2009 as a collaboration between SARC and Curtin University, Perth, Western Australia. Patient demographics, assault details, including injury documentation, and counseling sessions were identified as core data sections. A user authentication system was set up for data security. Data quality checks were incorporated to ensure high-quality data. Results: An SARC-MSCIS was developed containing three core data sections having 427 data elements to capture patient’s data. Development of the SARC-MSCIS has resulted in comprehensive capacity to support sexual assault research. Four additional projects are underway to explore both the public health and criminal justice considerations in responding to sexual violence. The data showed that 1,933 sexual assault episodes had occurred among 1881 patients between January 1, 2009 and December 31, 2015. Sexual assault patients knew the assailant as a friend, carer, acquaintance, relative, partner, or ex-partner in 70% of cases, with 16% assailants being a stranger to the patient. Conclusion: This project has resulted in the development of a high-quality data management system to maintain information for medical and forensic services offered by SARC. This system has also proven to be a reliable resource enabling research in the area of sexual violence.

The Quality Data Model of Product Lifecycle and Base Application in Electronic Components Industry

2014 ◽  
Vol 635-637 ◽  
pp. 1948-1951
Author(s):  
Yao Guang Hu ◽  
Dong Feng Wu ◽  
Jing Qian Wen
Keyword(s):  
Life Cycle ◽  
Data Analysis ◽  
Data Model ◽  
Product Life Cycle ◽  
Business Processes ◽  
Quality Data ◽  
Electronic Components ◽  
Product Lifecycle ◽  
Related Data ◽  
Base Application

On the basis of the electronic components business processes and the analysis of the quality data related, a model based on the object entity of the product life cycle is proposed. Object entity as the carrier of the related data this model mergers and reorganizes the related business, meanwhile links the entity through the revolved information of the quality data model thus achieving the integrity of the business in both time and space. This data model as the basis, can effectively realize the integration and sharing of quality data, facilitates the quality data analysis and quality traceability, and improve the capabilities of quality data management for the enterprise.

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