Model simplification in manufacturing simulation – Review and framework

Zee, Durk-Jouke van der

doi:10.1016/j.cie.2018.11.038

Cited by 26 publications

(9 citation statements)

References 91 publications

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“…The 2D display possesses lower capabilities than 3D visualization and VR [14][15][16]21]. The 3D visualization contains real binocular stereographic depth effects [9,12,21,22].…”

Section: Developments In Data Visualization and Vrsim Applications In...mentioning

confidence: 99%

“…These benefits outweighed any associated implementation costs, meaning that it was a matter of time before all simulation practitioners and users accepted this reality [8,9]. A decade later, Turner et al [13], while examining the trends in manufacturing simulation, assert that the initial limitations of 3D/VR due to the long learning curve and increased model development time identified by Akpan and Brooks [11,12] have been overtaken by improved technology and advanced DES modeling tools with simple drag-and-drop functionalities [13,14]. VRSIM helped in solving a long-standing problem in simulation projects where top management doubted the authenticity of simulation results because it was difficult to relate to the mysterious simulation black box, churning out results that managers did not understand or could not relate to [15,16].…”

Section: Introductionmentioning

confidence: 99%

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The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0

Akpan,

Offodile

2024

Systems

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From the first to the fourth industrial revolutions (4IR) or Industry 4.0 (i4.0), the manufacturing sector has always been at the forefront of innovation and digital technology adoption. However, 4IR or i4.0 comes with diverse and integrated technologies that tend to sweep off all the old orders. This study undertakes a science mapping of research on the role of virtual reality simulation (VRSIM) in manufacturing in the 4IR, which reveals several roles and benefits. The analysis of the conceptual structure of relevant literature highlights the contexts, applications, and relevance of VRSIM in the i4.0 era, including its potent role in predictive modeling and simulation, digital twin and predictive maintenance, additive manufacturing and 3D printing, and virtual manufacturing and immersive virtual digital factory simulation. VRSIM also offers a realistic virtual environment for mapping human–robot collaboration in different manufacturing environments, such as aircraft and automotive assembly lines, evaluating processes, training factory workers on safety, and assessing workers’ ergonomics in digital production and operations. VRSIM in manufacturing offers active research activities, with increasing literature publications and impacts attracting core sources in industrial engineering, manufacturing systems, production and operations, and information technology.

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“…The 2D display possesses lower capabilities than 3D visualization and VR [14][15][16]21]. The 3D visualization contains real binocular stereographic depth effects [9,12,21,22].…”

Section: Developments In Data Visualization and Vrsim Applications In...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0

Akpan,

Offodile

2024

Systems

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“…Structural complexity is composed of the number of objects, connections, attributes, and changed and inherent attributes in the virtual model, while software complexity is composed of the total cyclomatic complexity, the total length of program codes, and computational complexity [34]. Moreover, the prevention of virtual model complexity was studied and model evolution was suggested to avoid model complexity, i.e., start with a (overly) simple model and slowly add details [35].…”

Section: Complexity In the Development Of Digital Twinsmentioning

confidence: 99%

Sources of Complexity in the Development of Digital Twins in Manufacturing

Sanchez de Ocaña,

Bruch,

Aslanidou

2024

Advances in Transdisciplinary Engineering

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Digital twins have emerged as a critical technology to enable smart production. Digital twins can enhance the current production system by optimizing the current setup and facilitating decision-making based on facts rather than gut feeling. Despite the numerous benefits explored, digital twins have faced many challenges in developing and implementing production systems. Their complexity is causing a lack of digital twin implementations in the production system. This complexity can be traced back to physical and virtual entities and the digital twin development process. By conducting a case study in a global manufacturing company, this publication explores the sources of complexity when developing digital twins. The findings are organized around the digital twin development steps and their corresponding complexity. The number of different types of entities being modeled, the choice of the modeling approach, modeling low-frequency events, emergent phenomena, and the unpredictability and variability of the manufacturing process are all examples of structural and dynamic complexity that have been found to impede success in digital twin applications. This research has implications for managers who are involved in the development of digital twins in their organizations. It can help with methodological guidance when dealing with an undefined and complicated process of digital twin development.

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“…Figure 1 also highlights the idea of a simplifying assumption, that is a simplification that is a direct consequence of making an assumption. For a detailed discussion on simplifications in simulation modelling see van der Zee (2019).…”

Section: Figure 1 the Artefacts Of Conceptual Modelling (Adapted Frommentioning

confidence: 99%

A Tutorial on Conceptual Modelling for Discrete-Event Simulation

Robinson¹

2023

Proceedings of SW21 the OR Society Simulation Workshop

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Conceptual modelling is the abstraction of a simulation model from the part of the real world it is representing; in other words, choosing what to model, and what not to model. This is generally agreed to be the most difficult, least understood and most important task to be carried out in a simulation study. In this tutorial we define the term 'conceptual model' and go on to identify the artefacts of conceptual modelling and hence the role of conceptual modelling in the simulation project life-cycle. The discussion then focuses on the requirements of a conceptual model, the benefits and approaches for documenting a conceptual model, and frameworks for guiding the conceptual modelling activity. One specific framework is described and illustrated in more detail. The tutorial concludes with a discussion on the level of abstraction.

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Model simplification in manufacturing simulation – Review and framework

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Cited by 26 publications

References 91 publications

The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0

The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0

Sources of Complexity in the Development of Digital Twins in Manufacturing

A Tutorial on Conceptual Modelling for Discrete-Event Simulation

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