Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0

Shafiq, Syed Imran; Sanín, Cesar; Toro, Carlos; Szczerbicki, Edward

doi:10.1080/01969722.2015.1007734

Cited by 138 publications

(58 citation statements)

References 14 publications

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“…The present research study has evaluated thirteen articles shown in Tab. 2, which researched CPS -systems related to the industry automation that combine different innovative functions with the support of networking to allow linking of the operations with better computing as well as communication substructures Branger & Pang, 2015;Jazdi, 2014;Shafiq et al, 2015). Shafiq et al (2015) described CPS as "the convergence of the physical and digital worlds by establishing global networks for a business that incorporate their machinery, warehousing systems and production facilities" (p. 1149).…”

Section: Literature Reviewmentioning

confidence: 99%

“…2, which researched CPS -systems related to the industry automation that combine different innovative functions with the support of networking to allow linking of the operations with better computing as well as communication substructures Branger & Pang, 2015;Jazdi, 2014;Shafiq et al, 2015). Shafiq et al (2015) described CPS as "the convergence of the physical and digital worlds by establishing global networks for a business that incorporate their machinery, warehousing systems and production facilities" (p. 1149). Monostori et al (2016), on the other hand, noted that "CPS are systems of collaborating computational entities which are in intensive connection with the surrounding physical world and its on-going processes, providing and using, at the same time, data-accessing and data-processing services available on the Internet" (p. 621).…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to Shafiq et al (2015), the joint structure of Virtual Engineering Objects (VEO), Virtual Engineering Factory (VEF) and Virtual Engineering Process (VEP) is a particular method of CPS. VEO is a process of information conversion and data retrieval, in which one could reuse the experience of engineering objects as well as further advance the process of making key decisions in the industrial design and manufacturing (Schuster et al, 2015;Shafiq et al, 2015). VEO participates in IT classifications at diverse classified levels through a production procedure.…”

Section: Literature Reviewmentioning

confidence: 99%

“…VEP is an effective representation of knowledge of a manufacturing procedure with all required operational information, while VEF is a representation of the experience-based information of an engineering factory. According to Shafiq et al (2015), the three important elements must be combined to build Industry 4.0 as well as to attain an advanced level of smart machines with progressive analytics.…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Fourth industrial revolution: a way forward to attain better performance in the textile industry

Ślusarczyk

Haseeb

Hussain

2019

Engineering Management in Production and Services

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A B S T R A C TThe textile industry is one of the fastest growing industries which expressively contributes to the economic growth of Malaysia. However, in recent years, the situation has changed and demonstrates a downward trend. The imports are growing faster compared to the exports, consequently resulting in a low contribution to the gross domestic product (GDP). To address the issue, this study aims to investigate the role of Industry 4.0 on the performance of firms engaged in the production and services of the Malaysian textile industry. To achieve the objective, this study adopted a cross-sectional research design. A survey was carried out to collect data from employees of textile firms. Results of the study found that Industry 4.0 positively contributed to the effectiveness of the production and services of the textile industry. Production and services have a positive role in the performance of textile firms. The current study provides an interesting insight into the future direction of research for studies on organisational performance, which can be extended to different manufacturing-based industries. In addition, it provides the rationale for the adoption and implementation of smart technologies in these industries. It has been found that cyber-physical systems (CPS), interoperability, a smart city and a smart product have a positive effect on production and services. Additionally, it is not possible without the effective implementation of technology. Thus, the current study provides valuable insights into the improvement of the textile industry's performance. K E Y W O R D S Industry 4.0, firm performance, cyber-physical systems, interoperability, smart product; smart city

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Fourth industrial revolution: a way forward to attain better performance in the textile industry

Ślusarczyk

Haseeb

Hussain

2019

Engineering Management in Production and Services

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“…They are particular relevant in the context of CCI if we consider them in the scope of decision making and knowledge engineering, most notably, in the context of decisional DNA [25], a structure suited to obtain knowledge in decision making processes, and virtual engineering objects [26].…”

mentioning

confidence: 99%

Collective intelligent information and database systems

Nguyen

Núñez

Trawiński

2017

IFS

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Abstract. Collective intelligence is most often understood as group intelligence which arises on the basis of intelligences of the group members. This paper presents an overview of application of collective intelligence methods in knowledge engineering and in processing collective data. It also introduces papers included in this issue. Keywords: Collective intelligence, intelligent systems, knowledge engineeringCollective intelligence is most often understood as group intelligence which arises on the basis of intelligences of the group members. On the one hand, Newell [19] defined an intelligent collective as a social system, which is capable to act, even approximately, as a single rational agent. On the other hand, Lévy [11] understood collective intelligence as an intelligence that emerges from the collaboration and competition of many individuals; an intelligence that seemingly has a mind of its own. These definitions refer to cognitive systems. From the computational and artificial intelligence point of view, we can think about a collective as a set of autonomous units working on some common task, for example, a multi-agent system. We can say that the collective is intelligent if it can make a use of the intelligences of its members for solving some problem, for example, a decision making problem. are based on the collective intelligence aspects and which use the computational techniques for solving these problems. Regarding knowledge engineering, computational collective intelligence provides methods and techniques for determining the knowledge of a collective as a whole on the basis of collective members' knowledge. The need for processing collective knowledge is quickly increasing because of the very fast development of Internet, social networks and distributed databases. It is obvious that knowledge originating from autonomous sources for the same subject is very often inconsistent. Therefore, the aspects of inconsistency processing and integration computing are very important.Knowledge engineering [9] plays a relevant role in CCI since it is necessary to use its techniques in order to represent individual information. In fact, there are studies advocating that scientific knowledge is essentially collective knowledge [23]. In this line, recent studies state that it is very important that different individuals provide orthogonal, highly unrelated, and possible contradictory knowledge to the collectivity. In other words, "the higher the inconsistency, the better the quality of collective knowledge" [20]. Another relevant interaction

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Significance of Industry 4.0 technologies in major work functions of manufacturing for sustainable development of small and medium‐sized enterprises

Narkhede,

Mahajan,

Narkhede

et al. 2023

Bus Strat Dev

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Industry 4.0 (I4.0) has brought transformative changes in the manufacturing sector. This paper aims to provide a comprehensive analysis of the applications of I4.0 technologies in major work functions of small and medium‐sized enterprises (SMEs). Specifically, this review focuses on the suitability of I4.0 technologies in areas such as New Product Development, Supply Chain Management, Internal Logistics Management, Production Planning Execution and Control, Quality Management, and Maintenance Management. This study employs a systematic literature review (SLR) methodology to comprehensively analyze relevant sources to present valuable perspectives and practical suggestions customized to the requirements of different essential work functions within manufacturing SMEs. The findings of SLR indicate that Big Data Analytics (BDA), Robotics, and Automation are perceived as highly sustainable, on the other hand, blockchain and cloud technology are viewed as having lower sustainability from SMEs' point of view. The findings presented in this article have several theoretical and practical implications including technology selection and integration, and considering sustainability and ethics. This will allow SMEs to seamlessly integrate distinct I4.0 technologies along three dimensions: vertical, horizontal, and end‐to‐end digital integration. This article intends to provide an unbiased assessment to ascertain the landscape occupied by I4.0 in the context of SMEs. This article highlights the connection and synergy between I4.0 and SMEs as well as the pertinence of how advanced technologies of I4.0 can influence the business processes in manufacturing SMEs.

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Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0

Cited by 138 publications

References 14 publications

Fourth industrial revolution: a way forward to attain better performance in the textile industry

Fourth industrial revolution: a way forward to attain better performance in the textile industry

Collective intelligent information and database systems

Significance of Industry 4.0 technologies in major work functions of manufacturing for sustainable development of small and medium‐sized enterprises

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