Early detection for quality and reliability management

2015 ◽  
Author(s):  
Wei-Ting Kary Chien ◽  
Ming Li ◽  
Mark Zhang
Keyword(s):  
Early Detection ◽  
Reliability Management ◽  
Quality And Reliability

Quality and reliability through common business environment

1995 ◽  
Vol 7 (5) ◽  
pp. 7-15 ◽  
Author(s):  
Charles Tennant
Keyword(s):  
Business Environment ◽  
New Product Introduction ◽  
Product Introduction ◽  
Self Assessment ◽  
Management Framework ◽  
Reliability Management ◽  
Wheel Drive ◽  
Quality And Reliability ◽  
Learning Measurement ◽  
Four Wheel Drive

Rover Group is the UK’s largest automotive manufacturer employing 35,000 people which designs, develops and manufactures vehicles in the small, medium, executive and specialist four‐wheel‐drive sectors. Describes the processes deployed at Rover to ensure that quality and reliability are designed into the product through the new product introduction process, in order to achieve the company quality strategy milestones. The quality and reliability processes have been developed as a project management framework, known internally as “common business environment”. Describes the product programme milestone philosophy and supporting processes such as design methodology, reliability management, cost management and programme timing synthetics. The processes are deployed into all project teams at Rover Group through a learning methodology called focused learning. Measurement of common business environment implementation is carried out at project Q&R reviews, which are based on the European Foundation for Quality Management self‐assessment criteria.

scholarly journals Exploring research on quality and reliability management through text mining methodology

2017 ◽  
Vol 34 (7) ◽  
pp. 975-1014 ◽  
Author(s):  
Daniel Carnerud
Keyword(s):  
Text Mining ◽  
Six Sigma ◽  
Topic Modeling ◽  
Research Paper ◽  
Management Service ◽  
Content Type ◽  
Reliability Management ◽  
Research Publications ◽  
Probabilistic Topic Modeling ◽  
Quality And Reliability

Purpose The purpose of this paper is to explore and describe research presented in the International Journal of Quality & Reliability Management (IJQRM), thereby creating an increased understanding of how the areas of research have evolved through the years. An additional purpose is to show how text mining methodology can be used as a tool for exploration and description of research publications. Design/methodology/approach The study applies text mining methodologies to explore and describe the digital library of IJQRM from 1984 up to 2014. To structure and condense the data, k-means clustering and probabilistic topic modeling with latent Dirichlet allocation is applied. The data set consists of research paper abstracts. Findings The results support the suggestion of the occurrence of trends, fads and fashion in research publications. Research on quality function deployment (QFD) and reliability management are noted to be on the downturn whereas research on Six Sigma with a focus on lean, innovation, performance and improvement on the rise. Furthermore, the study confirms IJQRM as a scientific journal with quality and reliability management as primary areas of coverage, accompanied by specific topics such as total quality management, service quality, process management, ISO, QFD and Six Sigma. The study also gives an insight into how text mining can be used as a way to efficiently explore and describe large quantities of research paper abstracts. Research limitations/implications The study focuses on abstracts of research papers, thus topics and categories that could be identified via other journal publications, such as book reviews; general reviews; secondary articles; editorials; guest editorials; awards for excellence (notifications); introductions or summaries from conferences; notes from the publisher; and articles without an abstract, are excluded. Originality/value There do not seem to be any prior text mining studies that apply cluster modeling and probabilistic topic modeling to research article abstracts in the IJQRM. This study therefore offers a unique perspective on the journal’s content.

scholarly journals Improving the process of “input control” at the enterprises of military-industrial complex as a way to reduce the cost of reclamation work

2021 ◽  
Vol 31 (2) ◽  
pp. 61-71
Author(s):  
A. P. Aleshkin ◽  
T. L. Tkachenko ◽  
I. R. Karpova
Keyword(s):  
Manufacturing Process ◽  
Performance Indicator ◽  
Innovation Activity ◽  
High Tech ◽  
Small Scale ◽  
Industrial Complex ◽  
Reliability Management ◽  
Military Industrial Complex ◽  
Input Control ◽  
Quality And Reliability

Problem statement. The predominance of effective innovation industries, where scientific developments are the main driving force of the economy is a distinguisher of the manufacturing process in a postindustrial society. Estimate for management efficiency of a high-tech enterprise in the conditions of active innovation activity becomes relevant.The purpose. The article consider military-industrial complex enterprises of the Russian Federation, which work in constantly changing conditions of resource, legislative or other restrictions. The manufacturing of small-scale products with a given quality and reliability with limited financial resources is one of the features of such enterprises. The article examine the methodology for analyzing the enterprise performance indicators that produces special-purpose products and works in accordance with the requirements [1] of manufacturing and usage of serial products.Results. The article considered the estimate options for complex performance indicator of the product quality and reliability management system, evaluating the effectiveness of the input control, [serial products] usage and manufacturing processes.Practical relevance. The proposed method allows identifying the maximum number of product defects, with a glance of the practical development of the technology for their creation and the manufacturing process organizational and technical features.

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