Challenges and Opportunities Towards an Industry 4.0 Production

Santos, Beatrice Paiva; Charrua-Santos, Fernando; Lima, Tânia M.

doi:10.1007/978-981-32-9531-5_24

Cited by 15 publications

(13 citation statements)

References 18 publications

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“…Companies are keen to implement innovative innovations to boost resource quality, productivity, and efficiency, reduce risk, and stay competitive [ 16 , 108 , 109 , 110 , 111 ]. A business that struggles to deal with technology complexities also faces implementing new products/services, creativity, and business models, bringing the organization into a fierce competition where expenses have to be reduced each year [ 112 , 113 , 114 , 115 ].…”

Section: Research Challenges Opportunities Scope Of Future Work and Implication For Practitionersmentioning

confidence: 99%

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Tambare¹,

Meshram²,

Lee

et al. 2021

Sensors

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The birth of mass production started in the early 1900s. The manufacturing industries were transformed from mechanization to digitalization with the help of Information and Communication Technology (ICT). Now, the advancement of ICT and the Internet of Things has enabled smart manufacturing or Industry 4.0. Industry 4.0 refers to the various technologies that are transforming the way we work in manufacturing industries such as Internet of Things, cloud, big data, AI, robotics, blockchain, autonomous vehicles, enterprise software, etc. Additionally, the Industry 4.0 concept refers to new production patterns involving new technologies, manufacturing factors, and workforce organization. It changes the production process and creates a highly efficient production system that reduces production costs and improves product quality. The concept of Industry 4.0 is relatively new; there is high uncertainty, lack of knowledge and limited publication about the performance measurement and quality management with respect to Industry 4.0. Conversely, manufacturing companies are still struggling to understand the variety of Industry 4.0 technologies. Industrial standards are used to measure performance and manage the quality of the product and services. In order to fill this gap, our study focuses on how the manufacturing industries use different industrial standards to measure performance and manage the quality of the product and services. This paper reviews the current methods, industrial standards, key performance indicators (KPIs) used for performance measurement systems in data-driven Industry 4.0, and the case studies to understand how smart manufacturing companies are taking advantage of Industry 4.0. Furthermore, this article discusses the digitalization of quality called Quality 4.0, research challenges and opportunities in data-driven Industry 4.0 are discussed.

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Section: Research Challenges Opportunities Scope Of Future Work and Implication For Practitionersmentioning

confidence: 99%

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Tambare¹,

Meshram²,

Lee

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…Table 2 lists the SADC (Southern African Development Community) Designated Postal Operators with their corresponding 2IPD scores. In [13], the authors explains that the industrial sector has always been critical to the economic development of countries. Since the end of the 18th century, businesses have gone through enormous modifications that revolutionized a way how goods are produced and has yielded numerous benefits, predominantly related to efficiencies and productivity.…”

Section: The Integrated Index On Postal Developmentmentioning

confidence: 99%

Development of a Technology and Digital Transformation Adoption Framework of the Postal Industry in Southern Africa: From Critical Literature Review to a Theoretical Framework

Mokgohloa¹,

Kanakana-Katumba²,

Maladzhi³

2020

Adv. sci. technol. eng. syst. j.

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“…Indeed, the rapid development of microelectronics [3] has made it possible to achieve fast computing, high-speed data processing and communications, and also more sensitive detection and more effective actuation [4]. Today, all these functions are integrated in the connected objects that apply to all major societal activities [5], from communications to health, safety, transport, energy [6][7], as well as production in the new industrial scheme [8]. In fact, modern industry takes advantage of intelligent robots [9][10] that are well adapted to the * Corresponding author.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, industry is increasingly dependent on IoT, which is necessary to govern the design of new products, their production, as well as to control the flow of raw materials and manufactured objects. All these production and management functions are part of what is known as smart factory industry 4.0 [8]. In this field, engineers, technicians and PhD grade holders must be integrated into this design and manufacturing chain.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of the Higher Education in Engineering to the Advanced Manufacturing Technologies

Bonnaud

Bsiesy

2020

Adv. technol. innov.

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The 21st century will be the era of the fourth industrial revolution with the progressive introduction of the digital society, with smart/connected objects, smart factories driven by robotics, the Internet of Things (IoT) and artificial intelligence. Manufacturing should be performed by the industry entitled 4.0. These are advanced technologies resulting from steady development of information technology associated with new objects and systems that can fulfil manufacturing tasks. The industry 4.0 concept relies largely on the ability to design and manufacture smart and connected devices that are based on microelectronics technology. This evolution requires highly-skilled technicians, engineers and PhDs well prepared for research, development and manufacturing. Their training, which combines knowledge and the associated compulsory know-how, is becoming the main challenge for the academic world. The curricula must therefore contain the basic knowledge and associated know-how training in all the specialties in the field. The software and hardware used in microelectronics and its applications are becoming so complex and expensive that the most realistic solution for practical training is to share facilities and human resources. This approach has been adopted by the French microelectronics education network, which includes twelve joint university centres and 2 industrial unions. It makes it possible to minimize training costs and to train future graduates on up-to-date tools similar to those used in companies. Thus, this paper deals with the strategy adopted by the French network in order to meet the needs of the future industry 4.0.

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Challenges and Opportunities Towards an Industry 4.0 Production

Cited by 15 publications

References 18 publications

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Development of a Technology and Digital Transformation Adoption Framework of the Postal Industry in Southern Africa: From Critical Literature Review to a Theoretical Framework

Adaptation of the Higher Education in Engineering to the Advanced Manufacturing Technologies

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