Quality management issues facing a testing laboratory

1998 ◽  
Author(s):  
Chi-chung Chan
Keyword(s):  
Quality Management ◽  
Testing Laboratory ◽  
Management Issues

Quality management issues

1993 ◽  
Vol 9 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Lisa Lattal Ogorzalek
Keyword(s):  
Quality Management ◽  
Management Issues

Quality management issues for PC-controlled calibration systems

2009 ◽  
Author(s):  
Alessio Carullo ◽  
Alessia Luoni ◽  
Alessandra Neri ◽  
Giuseppe La Paglia ◽  
Giulia Suriani
Keyword(s):  
Quality Management ◽  
Management Issues

scholarly journals A tudásérték meghatározása minőségügyi szempontból, hálózatelemzési módszerekkel (The knowledge value in terms of quality with network analysis methods)

2012 ◽  
pp. 55-62
Author(s):  
Tamás Csiszér ◽  
József Cziráki
Keyword(s):  
Network Analysis ◽  
Quality Management ◽  
Knowledge Network ◽  
Negative Effects ◽  
Knowledge Loss ◽  
Network Nodes ◽  
Core Elements ◽  
Value Production ◽  
Knowledge Value ◽  
Management Issues

A minőségügy egyik kulcsfeladata, hogy azonosítsa az értékteremtés szempontjából kritikus tényezőket, meghatározza ezek értékét, valamint intézkedjen negatív hatásuk megelőzése és csökkentése érdekében. Az értékteremtés sok esetben folyamatokon keresztül történik, amelyek tevékenységekből, elvégzendő feladatokból állnak. Ezekhez megfelelő munkatársak kellenek, akiknek az egyik legfontosabb jellemzője az általuk birtokolt tudás. Mindezek alapján a feladat-tudás-erőforrás kapcsolatrendszer ismerete és kezelése minőségügyi feladat is. A komplex rendszerek elemzésével foglalkozó hálózatkutatás eszközt biztosíthat ehhez, ezért indokolt a minőségügyi területen történő alkalmazhatóságának vizsgálata. Az alkalmazási lehetőségek rendszerezése érdekében a szerzők kategorizálták a minőségügyi hálózatokat az élek (kapcsolatok) és a csúcsok (hálózati pontok) típusai alapján. Ezt követően definiálták a multimodális (több különböző csúcstípusból álló) tudáshálózatot, amely a feladatokból, az erőforrásokból, a tudáselemekből és a közöttük lévő kapcsolatokból épül fel. A hálózat segítségével kategóriákba sorolták a tudáselemeket, valamint a fokszámok alapján meghatározták értéküket. A multimodális hálózatból képzett tudáselem-hálózatban megadták az összefüggő csoportok jelentését, majd megfogalmaztak egy összefüggést a tudáselem-elvesztés kockázatának meghatározására. _______ The aims of quality management are to identify those factors that have significant influence on value production, qualify or quantify them, and make preventive and corrective actions in order to reduce their negative effects. The core elements of value production are processes and tasks, along with workforce having the necessary knowledge to work. For that reason the task-resource-knowledge structure is pertinent to quality management. Network science provides methods to analyze complex systems; therefore it seems reasonable to study the use of tools of network analysis in association with quality management issues. First of all the authors categorized quality networks according to the types of nodes (vertices) and links (edges or arcs). Focusing on knowledge management, they defined the multimodal knowledge network, consisting of tasks, resources, knowledge items and their interconnections. Based on their degree, network nodes can be categorized and their value can be quantified. Derived from the multimodal network knowledge-item network is to be created, where the meaning of cohesive subgroups is defined. Eventually they proposed a formula for determining the risk of knowledge loss.

scholarly journals SOME FEATURES ABOUT THE ISSUES OF QUALITY MANAGEMENT

2009 ◽  
Vol 1 (2) ◽  
pp. 4-7
Author(s):  
Vincentas Lamanauskas
Keyword(s):  
Quality Management ◽  
Key Words ◽  
Process Approach ◽  
Management Systems ◽  
Business Organizations ◽  
Quality Management Systems ◽  
Iso Standards ◽  
Key Words Quality Management ◽  
Management Issues

Recently the issues of quality management are becoming urgent in Lithuania. They are discussed and aspiration greatly improve the quality of activity in institutions of education are declared. But in the sphere of education the tendency to speak more than really work still remains. Many education organizations define quality as the major priority of their activity. But to declare or define is one thing and seek for that quality is another thing. The application of ISO standards in institutions of education still remains problematic. It is often tried to create own distinctive standards while ISO standards are acknowledged and applied on an international scale. It is understandable that institutions of education are specific and they rather differ from, let`s say, business organizations. Nevertheless, international ISO standards can and must be applied. Considering the process approach which is fixed in the ISO standards, every organization should effectively manage all occurring processes. Everything what happens in the processes later reflects in production or service in one way or another. According to this approach, the management of processes is rather complicated in organizations of education. The management of such processes, if it exists at all, is divided and fragmental. The application of statistical methods analyzing quality management issues in organizations of education is also problematic. It is undoubtedly that implement of quality management systems in organizations of education is especially urgent because it is a grave tool to basically improve the activity in all organizations of education. Key words: quality management, ISO standards, process approach,

scholarly journals A proposal of model for a quality management system in research testing laboratories

2021 ◽  
Author(s):  
Silvia Martínez-Perales ◽  
Isabel Ortiz-Marcos ◽  
Jesús Juan Ruiz
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Management System ◽  
Quality Management System ◽  
Testing Laboratory ◽  
Agile Methodology ◽  
Testing Laboratories ◽  
Peculiar Nature ◽  
Broad Consensus

AbstractThere is a broad consensus on the importance and advisability of testing laboratories adopting a Quality Management System (QMS) to support their work, no matter they are industrial or research oriented. However, laboratories involved in R&D have specific difficulties to implement a QMS due to the peculiar nature of their activity. This paper analyzes the main challenges and difficulties found by professionals when implementing a QMS in a research testing laboratory, based on the literature review and a questionnaire with 86 laboratories participating performed in collaboration with RedLab (Red de Laboratorios de la Comunidad de Madrid). After this analysis, a set of requirements for the competence of research testing laboratories based on ISO/IEC 17025 and UNE 166002 is defined, and an agile methodology for the fulfilment of these requirements is proposed.

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.

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