Smart Product Design and Production Control for Effective Mass Customization in the Industry 4.0 Concept

Zawadzki, Przemysław; Żywicki, Krzysztof

doi:10.1515/mper-2016-0030

Cited by 254 publications

(149 citation statements)

References 20 publications

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“…A virtual system is used to monitor and control its physical aspect, which sends data to update its virtual model in real time [5]. A virtual system enables the implementation of designs, creating digital prototypes that are very similar to the real ones [42].…”

Section: Design Principles Of a Smart Factorymentioning

confidence: 99%

“…This system provides real-time tracking and an analysis of historical performance. Zawadzki and Zywicki [42] suggested a new method of designing a product in smart factories that combines virtual reality and rapid prototyping. Veza et al [83] suggested an MCDM approach to manage the virtual production network in the selection of production partners.He et al [84] suggested an algorithm to manage the storage space of flash memory aimed at optimizing the performance of cloud computing.…”

Section: Control Systemsmentioning

confidence: 99%

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Requirements of the Smart Factory System: A Survey and Perspective

et al. 2018

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Abstract:With the development of Industry 4.0 and the emergence of the smart factory concept, the traditional philosophy of manufacturing systems will change. The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future. An increasing amount of research in both academia and industry is dedicated to transitioning the concept of the smart factory from theory to practice. The purpose of the current research is to highlight the perspectives that shape the smart factory and to suggest approaches and technical support to enable the realization of those perspectives. This paper fills this gap by identifying and analyzing research on smart factories.We suggest a framework to analyze existing research and investigate the elements and features of smart factory systems.

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Section: Design Principles Of a Smart Factorymentioning

confidence: 99%

Section: Control Systemsmentioning

confidence: 99%

Requirements of the Smart Factory System: A Survey and Perspective

et al. 2018

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“…If one of these factors is not met, the idea of mass production individualisation will most likely be unfeasible. To achieve this, effective data processing technology is essential [15].…”

Section: Possibilities Of Using Big Data Analysis In Industrymentioning

confidence: 99%

Big Data in the Industry - Overview of Selected Issues

Gierej

2017

Management Systems in Production Engineering

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Abstract:This article reviews selected issues related to the use of Big Data in the industry. The aim is to define the potential scope and forms of using large data sets in manufacturing companies. By systematically reviewing scientific and professional literature, selected issues related to the use of mass data analytics in production were analyzed. A definition of Big Data was presented, detailing its main attributes. The importance of mass data processing technology in the development of Industry 4.0 concept has been highlighted. Subsequently, attention was paid to issues such as production process optimization, decision making and mass production individualisation, and indicated the potential for large volumes of data. As a result, conclusions were drawn regarding the potential of using Big Data in the industry.

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“…The VR has also plenty of applications in medicine and biomedical engineering [10,11] and general education [12]. VR, as well as Augmented Reality (AR), plays an important role in Factories of the Future, within the Industry 4.0 concept [13,14].…”

Section: Introductionmentioning

confidence: 99%

Building Virtual Reality Applications for Engineering with Knowledge-Based Approach

Górski¹

2017

Management and Production Engineering Review

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Accepted: 10 December 2017The paper presents a novel methodology of building industrial Virtual Reality applications with use of a knowledge-based approach. Virtual Reality is becoming more and more widespread in engineering applications. However, most solutions are immediate and not flexible, especially in maintenance. Traditional way of programming VR applications makes all the knowledge about a product or a process hard-coded, effectively losing access to it from the outside of the programming software. Besides, making new solutions without any methodology whatsoever makes the process longer and less effective. The author proposes to use general rules of available Knowledge Engineering methodologies in order to make the process of building VR applications more effective and to ensure their flexibility and access to stored knowledge, even after an application is deployed. The presented methodology is supported with practical case studies.

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Smart Product Design and Production Control for Effective Mass Customization in the Industry 4.0 Concept

Cited by 254 publications

References 20 publications

Requirements of the Smart Factory System: A Survey and Perspective

Requirements of the Smart Factory System: A Survey and Perspective

Big Data in the Industry - Overview of Selected Issues

Building Virtual Reality Applications for Engineering with Knowledge-Based Approach

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