Virtual manufacturing as a way for the factory of the future

Souza, Mariana Angélica de; Sacco, Marco; Porto, Arthur José Vieira

doi:10.1007/s10845-006-0041-1

Cited by 51 publications

(13 citation statements)

References 6 publications

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“…Here, VR can help greatly in the interaction with consumers and even with other stakeholders. Indeed, VR allows simulation of real processes and products for different purposes, for instance, staff training, prototype design, manufacturing optimization and marketing (Choi & Cheung, 2008;Bae & Leem, 2014), meeting market demands (Duffy & Salvendy, 2000;Souza, Sacco & Porto, 2006), by increasing product quality and giving a faster response to the market (Manesh, Schaefer & Hashemipour, 2011), and reducing uncertainty about consumer acceptance (Rosenberger & Dechernatony, 1995).…”

Section: T2 Manufacturing and New Product Development Vr Is Beingmentioning

confidence: 99%

“…VR is also applied to teleoperation of real processes in dangerous environments or in micro and macro scale manufacturing. However, VR is not only applied to radical innovation, as it can reduce time and costs in incremental innovation, shorten the product innovation cycle, and lead to increases in product quality, helping industry to reduce the time-to-market and contributing to the joint process with consumers and even other stakeholders (e.g., Souza, Sacco & Porto, 2006;Hoffmann, Stefani & Patel, 2006).…”

Section: T2 Manufacturing and New Product Development Vr Is Beingmentioning

confidence: 99%

“…These articles present techniques for new product development (NPD), suggestions for production planning processes with stakeholder cooperation, development of prototyping systems, or simulation modelling to be used to explore how sales practice influences adoption decisions, customer satisfaction and the ultimate evolution of the market (e.g., Swann, 2001;Mujber, Szecsi & Hashmi, 2005;Souza et al, 2006;Lawson et al, 2016). Therefore, the studies provide the conditions for evaluating products and prototypes in realistic virtual space, showing the interface between manufacturing and the marketing process, but they do not show experiments, surveys or other qualitative or quantitative research usually employed in marketing research, for example, focus groups and interviews.…”

Section: T2 Manufacturing and New Product Development Vr Is Beingmentioning

confidence: 99%

See 2 more Smart Citations

Understanding the use of Virtual Reality in Marketing: A text mining-based review

Loureiro

Guerreiro

Eloy

et al. 2019

Journal of Business Research

204

117

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The current study intends to highlight the most relevant studies in simulated realities with special attention to VR and marketing, showing how studies have evolved over time and discussing the findings. A text-mining approach using a Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 150 articles from 115 journals, all indexed in Web of Science. The findings reveal seven relevant topics, as well as the number of articles published over time, the authors most cited in VR papers and the leading journals in each topic. The article also provides theoretical and practical implications and suggestions for further research.

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Section: T2 Manufacturing and New Product Development Vr Is Beingmentioning

confidence: 99%

Section: T2 Manufacturing and New Product Development Vr Is Beingmentioning

confidence: 99%

Section: T2 Manufacturing and New Product Development Vr Is Beingmentioning

confidence: 99%

See 1 more Smart Citation

Understanding the use of Virtual Reality in Marketing: A text mining-based review

Loureiro

Guerreiro

Eloy

et al. 2019

Journal of Business Research

204

117

View full text Add to dashboard Cite

show abstract

“…However, there are no commonly used or agreed definitions for those, but they usually share the idea of managing the typically isolated and separate manufacturing activities as a whole by the means of Information and Communications Technology (ICT) (Nylund and Andersson, 2011). Typical examples often found from the definitions, based on literature, are (see, for example: Bracht & Masurat, 2005;Maropoulos, 2003;Souza et al, 2006):…”

Section: Support From Digital Manufacturingmentioning

confidence: 99%

Digital Manufacturing Supporting Autonomy and Collaboration of Manufacturing Systems

Nylund¹,

Andersson²

2012

Manufacturing System

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“…Thus, simulation based process designs are used to perform analysis and evaluations in a computer (Arndt et al, 2006), and allow to draw an optimum design (Azadeh et al, 2011). This kind of simulation methods have been used for the large manufacturing factories, but demands for more customized solutions for small and medium manufacturing factories have been continued: more suitable for factory dimension and less expensive (Souza et al, 2006;Mancini et al, 2004). Especially, the number of agricultural manufacturing factories in Korea is increasing annually (Lee et al, 2011), and there are possibilities to utilize the simulation method.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of the Effects of Worker-Related Variables on Process Efficiency in a Manufacturing System Simulation

Lee¹,

Park²,

Choi³

et al. 2013

Journal of Biosystems Engineering

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Purpose:The goal of this study was to build an accurate digital factory that evaluates the performance of a factory using computer simulation. To achieve this goal, we evaluated the effect of worker-related variables on production in a simulation model using comparative analysis of two cases. Methods: The overall work process and worker-related variables were determined and used to build a simulation model. Siemens PLM Software's Plant Simulation was used to build a simulation model. Also, two simulation models were built, where the only difference was the use of the worker-related variable, and the total daily production analyzed and compared in terms of the individual process. Additionally, worker efficiency was evaluated based on worker analysis. Results: When the daily production of the two models were compared, a 0.16% error rate was observed for the model where the worker-related variables were applied and error rate was approximately 5.35% for the model where the worker-related variables were not applied. In addition, the production in the individual processes showed lower error rate in the model that included the worker-related variables than the model where the worker-related variables were not used. Also, among the total of 22 workers, only three workers satisfied the IFRS (International Financial Reporting Standards) suggested worker capacity rate (90%). Conclusions: In the daily total production and individual process production, the model that included the worker-related variables produced results that were closer to the real production values. This result indicates the importance of worker elements as input variables, in regards to building accurate simulation models. Also, as suggested in this study, the model that included the worker-related variables can be utilized to analyze in more detail actual production. The results from this study are expected to be utilized to improve the work process and worker efficiency.

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Virtual manufacturing as a way for the factory of the future

Cited by 51 publications

References 6 publications

Understanding the use of Virtual Reality in Marketing: A text mining-based review

Understanding the use of Virtual Reality in Marketing: A text mining-based review

Digital Manufacturing Supporting Autonomy and Collaboration of Manufacturing Systems

A Comparison of the Effects of Worker-Related Variables on Process Efficiency in a Manufacturing System Simulation

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