The coordinate measuring machines, essential tools for quality control of dimensional and geometrical specifications of technical components, in the context of the industry 4.0

Ferreira, Francisco; Guerra, Hélia

doi:10.1088/1742-6596/1044/1/012065

Cited by 4 publications

(1 citation statement)

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“…Ferreira and Guerra [ 17 ] in their research deal with control of dimensional and geometrical requirements of the technical components according to the requirements of Industry 4.0 and emphasize the importance of measuring process connected to large data acquisition to correct the machine parameters and overall product quality.…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems

Trstenjak

Opetuk

Cajner

et al. 2022

Sensors

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The digitization of the manufacturing industry, 10 years after the introduction of the Industry 4.0 concept, is still one of the most demanding tasks for the companies, especially for SMEs. As one of the biggest barriers in new business model implementation, the lack of strategy and workforce skills is frequently mentioned in the literature. The high level of investments it requires and the perception of high risks with unclear future benefits can be avoided with readiness factor calculation. This paper presents a novel model for readiness factor calculation, oriented to process planning and based on decision support systems. The model enables the definition of the optimal strategic plan for the digitization with the use of decision support systems (analytic hierarchy process) and through the use of statistical methods implemented within the model it minimizes the influence of human subjectivity and quantification of qualitative criteria. This innovative approach enables the understanding of the transition process to new technology-enabled business models, in this case oriented towards process planning. The useability and reliability of the model is proven in a case study of a metal machining company.

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Section: Introductionmentioning

confidence: 99%

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems

Trstenjak

Opetuk

Cajner

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

Applicability of Metrology 4.0 Technologies for the Manufacturing Industries

Nzumile,

Pastory,

Taifa

2024

MAPAN

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Quality challenges 4.0: A review of literature and business practice

Tadić¹,

Kovačević²,

Stanisavljev³

et al. 2021

Ekonomski izazovi

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The authors research the challenges faced by companies during the implementation of Quality 4.0. More than 100 papers dealing with the relevant field and topic of the paper were taken into consideration, in order to create a more complete picture of the current challenges related to quality. The aim of the paper is to review the current business practice, which can serve all companies that are planning or are in the process of introducing top quality - Quality 4.0. The results are given in the form of a comparative analysis of papers, presented according to the year of publication. The review of the literature emphasized that there are 10 most common challenges that organizations face when introducing Industry 4.0 to date. The challenges are grouped, depending on the fact how many companies have encountered them, and are based on two main factors, people and technology.

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The coordinate measuring machines, essential tools for quality control of dimensional and geometrical specifications of technical components, in the context of the industry 4.0

Cited by 4 publications

References 1 publication

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems

Applicability of Metrology 4.0 Technologies for the Manufacturing Industries

Quality challenges 4.0: A review of literature and business practice

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