Research Challenges of Industry 4.0 for Quality Management

Foidl, Harald; Felderer, Michael

doi:10.1007/978-3-319-32799-0_10

Cited by 113 publications

(94 citation statements)

References 32 publications

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“…The smart machine, smart factory, and augmented operator will define and eliminate the root causes of production defects and will make an instant early action to avoid defects, and production failure. Industry 4.0 will aid processes' optimization, improve efficiency and resources allocation, minimize the efforts needed for quality issues by using sensors at each production stage, and provide means to support quality activities which will result minimizing rework and scrape (Foidl and Felderer, 2016). Big-data analysis will collect real-time data generated during production, transform it to friendly useful information that is readable and accessible by different business units and levels.…”

Section: • Engagement Of People: a Successful Qualitymentioning

confidence: 99%

Industry 4.0 as a Key Enabler toward Successful Implementation of Total Quality Management Practices

Sader

Husti

Daróczi

2019

Period. Polytech. Soc. Man. Sci.

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Industry 4.0 refers to the new technological development occurred at the industrial production systems. It evolved as a result of integrating Internet of Things, Cyber-Physical Systems, Big-Data, Artificial Intelligence, and Cloud Computing in the industrial systems. This integration aided new capabilities to achieve a higher level of business excellence, efficiency, and effectiveness. Total Quality Management (TQM) is a managerial approach to achieve an outstanding business excellence. There are several approaches to apply TQM principles at any organization. Industry 4.0 could be utilized as a key enabler for TQM especially by integrating its techniques with the TQM best practices. This paper suggests a theoretical framework for integrating Industry 4.0 features with the TQM principles (according to ISO 9000:2015 standards family) in order to open the door for further research to address the real impact of utilizing Industry 4.0 for serving the TQM implementation approaches.

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Section: • Engagement Of People: a Successful Qualitymentioning

confidence: 99%

Industry 4.0 as a Key Enabler toward Successful Implementation of Total Quality Management Practices

Sader

Husti

Daróczi

2019

Period. Polytech. Soc. Man. Sci.

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“…With the emerging of 4th industrial revolution, quality management have advances through the usage of smart electronics that are linked together in a internal or external networks of data (IIoT) that can be automatically controlled without the introduction of human intervention (IoS). This in a way impacted the quality management approaches positively and negatively [17].…”

Section: Quality Managementmentioning

confidence: 99%

Quality management in industry 4.0 era

Zaidin

Diah

Sorooshian

2018

J.M.S

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In this era of technology advancement and industrial modernization, the concepts introduced by the German promised a great benefits and widely unexplored opportunities for application in industries. Industry 4.0 concept is one of the heavily discussed topics for academic researcher and practitioners. In this era of consumerism, manufacturing industries are required to manufactured products and services of the highest quality in order to retain competitiveness in the consumers market. The concepts of Smart Factory, Cyber-Physical System as well as Internet of Things and Services offers very capable opportunities and also downside challenges for quality management in manufacturing sectors. Thus, this paper present and discussed the opportunities and challenges in implementation of Industry 4.0 for quality management which triggered by a practical insight of an electronic production and service company in Austria. The findings of the recent study challenges are formed by the three key characteristics of Industry 4.0 which are horizontal, vertical and end-to-end manufacturing integration.

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“…No one mentioned the benefits concerning the increased flexibility of the PMS in the researched papers, which allows for faster adaptation to the required changes in the entire manufacturing environments, but only as a vision of Industry 4.0 in following papers [2,3,10,31].…”

Section: Benefitsmentioning

confidence: 99%

Predictive Manufacturing Systems in Industry 4.0: Trends, Benefits and Challenges

Nikolić¹,

Ignjatic²,

Suzić³

et al. 2017

DAAAM Proceedings

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The fourth industrial revolution, known as Industry 4.0, has tendency to push the boundaries of science and technology. This is especially true for the manufacturing industry. One of the biggest challenges facing the manufacturing industry today is how to make intelligent systems for production with "self-aware", "self-predict and "self-maintain" abilities. Predictive manufacturing systems (PMS) are new intelligent systems that provide these abilities in the production, processes and machines. The PMS combines different technologies and techniques: statistics, data mining, modelling and artificial intelligence methods. These technologies and techniques are used to convert data into information and make predictions about the observed system. This paper provides an overview of the various challenges, existing solutions and benefits of PMS, with a focus on success factors in Industry 4.0.

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Research Challenges of Industry 4.0 for Quality Management

Cited by 113 publications

References 32 publications

Industry 4.0 as a Key Enabler toward Successful Implementation of Total Quality Management Practices

Industry 4.0 as a Key Enabler toward Successful Implementation of Total Quality Management Practices

Quality management in industry 4.0 era

Predictive Manufacturing Systems in Industry 4.0: Trends, Benefits and Challenges

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