1 research outputs found
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Όλ¬Έ (λ°μ¬) -- μμΈλνκ΅ λνμ : μ΅ν©κ³ΌνκΈ°μ λνμ μ΅ν©κ³ΌνλΆ(μ§λ₯νμ΅ν©μμ€ν
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Έμ€.The automotive industry is entering a new phase in response to changes in the external environment through the expansion of eco-friendly electric/hydrogen vehicles and the simplification of modules during the manufacturing process. However, in the existing automotive industry, conflicts between structured production guidelines and various stake-holders, who are aligned with periodic production plans, can be problematic. For example, if there is a sudden need to change either production parts or situation-specific designs, it is often difficult for designers to reflect those requirements within the preexisting guidelines.
Automotive design includes comprehensive processes that represent the philosophy and ideology of a vehicle, and seeks to derive maximum value from the vehicle specifications. In this study, a system that displays information on parts/module components necessary for real-time design was proposed. Designers will be able to use this system in automotive design processes, based on data from various sources. By applying the system, three channels of information provision were established. These channels will aid in the replacement of specific component parts if an unexpected external problem occurs during the design process, and will help in understanding and using the components in advance.
The first approach is to visualize real-time data aggregation in automobile factories using Google Analytics, and to reflect these in self-growing characters to be provided to designers. Through this, it is possible to check production and quality status data in real time without the use of complicated labor resources such as command centers.
The second approach is to configure the data flow to be able to recognize and analyze the surrounding situation. This is done by applying the vehicles camera to the CCTV in the inventory and distribution center, as well as the direction inside the vehicle. Therefore, it is possible to identify and record the parts resources and real-time delivery status from the internal camera function without hesitation from existing stakeholders.
The final approach is to supply real-time databases of vehicle parts at the site of an accident for on-site repair, using a public API and sensor-based IoT. This allows the designer to obtain information on the behavior of parts to be replaced after accidents involving light contact, so that it can be reflected in the design of the vehicle.
The advantage of using these three information channels is that designers can accurately understand and reflect the modules and components that are brought in during the automotive design process.
In order to easily compose the interface for the purpose of providing information, the information coming from the three channels is displayed in their respective, case-specific color in the CAD software that designers use in the automobile development process. Its eye tracking usability evaluation makes it easy for business designers to use as well. The improved evaluation process including usability test is also included in this study.
The impact of the research is both dashboard application and CAD system as well as data systems from case studies are currently reflected to the design ecosystem of the motors group.μλμ°¨ μ°μ
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νμλ€.1 Introduction 1
1.1 Research Background 1
1.2 Objective and Scope 2
1.3 Environmental Changes 3
1.4 Research Method 3
1.4.1 Causal Inference with Graphical Model 3
1.4.2 Design Thinking Methodology with Co-Evolution 4
1.4.3 Required Resources 4
1.5 Research Flow 4
2 Data-driven Design 7
2.1 Big Data and Data Management 6
2.1.1 Artificial Intelligence and Data Economy 6
2.1.2 API (Application Programming Interface) 7
2.1.3 AI driven Data Management for Designer 7
2.2 Datatype from Automotive Industry 8
2.2.1 Data-driven Management in Automotive Industry 8
2.2.2 Automotive Parts Case Studies 8
2.2.3 Parameter for Generative Design 9
2.3 Examples of Data-driven Design 9
2.3.1 Responsive-reactive 9
2.3.2 Dynamic Document Design 9
2.3.3 Insignts from Data-driven Design 10
3 Benchmark of Data-driven Automotive Design 12
3.1 Method of Global Benchmarking 11
3.2 Automotive Design 11
3.2.1 HMI Design and UI/UX 11
3.2.2 Hardware Design 12
3.2.3 Software Design 12
3.2.4 Convergence Design Process Model 13
3.3 Component Design Management 14
4 Vehicle Specification Design in Mobility Industry 16
4.1 Definition of Vehicle Specification 16
4.2 Field Study 17
4.3 Hypothesis 18
5 Three Preliminary Practical Case Studies for Vehicle Specification to Datadriven 21
5.1 Production Level 31
5.1.1 Background and Input 31
5.1.2 Data Process from Inventory to Designer 41
5.1.3 Output to Designer 51
5.2 Delivery Level 61
5.2.1 Background and Input 61
5.2.2 Data Process from Inventory to Designer 71
5.2.3 Output to Designer 81
5.3 Consumer Level 91
5.3.1 Background and Input 91
5.3.2 Data Process from Inventory to Designer 101
5.3.3 Output to Designer 111
6 Two Applications for Vehicle Designer 86
6.1 Real-time Dashboard DB for Decision Making 123
6.1.1 Searchable Infographic as a Designer's Tool 123
6.1.2 Scope and Method 123
6.1.3 Implementation 123
6.1.4 Result 124
6.1.5 Evaluation 124
6.1.6 Summary 124
6.2 Application to CAD for vehicle designer 124
6.2.1 CAD as a Designer's Tool 124
6.2.2 Scope and Method 125
6.2.3 Implementation and the Display of the CAD Software 125
6.2.4 Result 125
6.2.5 Evaluation: Usability Test with Eyetracking 126
6.2.6 Summary 128
7 Conclusion 96
7.1 Summary of Case Studies and Application Release 129
7.2 Impact of the Research 130
7.3 Further Study 131Docto