Ranking manufacturing processes from the quality management perspective in the automotive industry

2019 ◽  
Vol 36 (6) ◽  
Author(s):  
Snezana Nestic ◽  
Jesús F. Lampón ◽  
Aleksandar Aleksic ◽  
Pablo Cabanelas ◽  
Danijela Tadic
Keyword(s):  
Quality Management ◽  
Automotive Industry ◽  
Manufacturing Processes ◽  
Management Perspective

Statistical Methods in the Automotive Industry

2015 ◽  
Vol 791 ◽  
pp. 56-62
Author(s):  
Ewa Golińska ◽  
Marcin Zemczak
Keyword(s):  
Decision Making ◽  
Quality Management ◽  
Statistical Process Control ◽  
Statistical Methods ◽  
Automotive Industry ◽  
Manufacturing Processes ◽  
Key Factors ◽  
High Quality ◽  
Statistical Process ◽  
Decision Making Processes

Controlling of the manufacturing processes is one of the key factors that allow companies to produce goods of high quality. In the article one of methods of the quality management - statistical process control (SPC) has been discussed. On the example of the car headrests manufacturing enterprise benefits from applying this method have been presented. Authors pointed out that the use of statistical methods in decision-making processes must not be difficult and time-consuming, if is being supported by a computer with using inexpensive tools.

scholarly journals Quality management and business performance of Serbian companies

2021 ◽  
Vol 69 (6-7) ◽  
pp. 345-356
Author(s):  
Vesna Milovanović ◽  
Stevo Janošević ◽  
Mihailo Paunović
Keyword(s):  
Quality Management ◽  
Business Performance ◽  
Quality Management System ◽  
Iso 9001 ◽  
Company Size ◽  
Total Quality ◽  
Industry Type ◽  
Business Results ◽  
Management Perspective ◽  
The Impact

The impact of quality management (QM) programs on business results has been the subject of numerous studies worldwide. However, given the complexity of the contemporary QM paradigm and its context-dependence, it is difficult to generalise its impact on business performance. This study examines QM from the strategic management perspective by comprehensively analysing the effects of quality management system (QMS) certification to ISO 9001 in terms of improved business performance and the achieved level of total quality management (TQM) in Serbian companies. Control variables of industry type and company size are employed to observe their possible impact on motives for, and effects of, QMS certification to ISO 9001. The results reveal that the certification of Serbian companies' QMS to ISO 9001 positively influences their operational and market performance, with the impact intensity dependent upon company size and industry type. The impact of certification on financial performance was examined but not confirmed. Compared to companies motivated primarily by marketing interests and market pressure, companies that certify their QMS to ISO 9001 to improve the quality of their business show a higher level of TQM implementation and gain greater benefits from certification.

scholarly journals Study the effect of process parameters on Electric Discharge Machining: Literature Review

2019 ◽  
Vol 4 (1) ◽  
pp. 68-80
Author(s):  
Sandeep Yadav ◽  
Deepak k ◽  
Sarthak Sharma ◽  
Lalit Vashishth
Keyword(s):  
Automotive Industry ◽  
Metal Removal ◽  
Electrical Discharge Machining ◽  
Work Piece ◽  
Manufacturing Processes ◽  
Machining Parameters ◽  
Tool Wear Rate ◽  
Electric Discharge Machining ◽  
Thermoelectric Energy ◽  
Dies And Moulds

Electrical discharge machining (EDM) is one of the earliest non-conventional method of manufacturing processes. This process based on thermoelectric energy between work piece and electrodeand they must have electrical conductivity to generate the spark. A spark generated between work piece and electrode, and removes the material from work piece through melting and vaporizing. EDM produced various types of products such as dies and moulds. EDM is used to manufacture the parts of aerospace, automotive industry and surgical components. The effect of the machining parameters on surface roughness, metal removal rateand tool wear rate are studied.

Data-driven quality improvement approach to reducing waste in manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rose Clancy ◽  
Dominic O'Sullivan ◽  
Ken Bruton
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Process Improvement ◽  
Six Sigma ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Management Performance ◽  
Chain Management ◽  
Content Type

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.

Proficiency Testing from a Total Quality Management Perspective

1992 ◽  
Vol 38 (5) ◽  
pp. 615-618 ◽  
Author(s):  
K Castañeda-Méndez
Keyword(s):  
Health Care ◽  
Quality Management ◽  
Total Quality Management ◽  
Proficiency Testing ◽  
Health Care Financing ◽  
Proficiency Tests ◽  
Total Quality ◽  
Management Perspective ◽  
Care Costs

Abstract Public concern over increasing health-care costs plus dramatized testing errors, has resulted in CLIA '88 with its more stringent rules governing laboratory performance. The purpose of the 1990 U.S. Health Care Financing Administration Final Rules for Proficiency Tests is to separate the quality laboratory from the poorly performing one. From the perspective of total quality management, the customer (patient) defines quality as virtually error-free test results. The current proficiency testing format defeats this. Its effective purpose is not to identify quality laboratories but to shut down the most prolific laboratories--regardless of their quality. There are two reasons for this. First, the proficiency testing format is incomplete: it is missing a minimum frequency criterion. Second, the data for determining the quality of a laboratory's performance (the degree of error-free results) are not being used. I propose a solution based on continuous improvement that promotes voluntarism, favors the quality laboratory, and reduces federal regulation.

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