Vehicle package development is an important part of the entire vehicle design. It consists of determining the occupant’s spatial environment, the vehicle’s mechanical spatial configuration and the overall exterior/interior dimensions while meeting the engineering requirements, including packaging, structure, manufacturing, etc. Developing and verifying the occupant compartment configuration is usually conducted by using a seating buck. To build a seating buck, vehicle interior surfaces are generated in CAD using vehicle exterior surfaces, package layouts and master sections. During early program stages, this information is scattered, incomplete and constantly changing, which makes the seating buck creation challenging and the package design decision-making more difficult. A new method has been developed to quickly generate the seating buck surfaces from scattered information. It has shown to significantly reduce the time conventionally required for the seating buck surface modeling. This paper documents the method and process and summarizes the potential of the method and its impact on vehicle package design.

According to handling route of assembly line of airbag optimization problem, handling path planning mathematical model is established. Based on natural coding genetic algorithm, combining with JH company assembly line of airbag layout and the actual situation of material handling, using MATLAB software to realize the genetic algorithm, production logistics fields materials handling route problem in the optimization method is put forward. To solve production enterprise assembly line material handling route optimization problem, and has certain directive role.

This paper focuses on the automobile assembly line redesigning issues. The MP-X assembly line is modeled using the Flexsim simulation software. Based on actual research, a production line model of the MP-X is established. Through simulation and the state diagrams analysis the bottleneck of the production assembly line is identified. Aiming at these existing problems, the improving measures are put forward. The decision analysis methods is used to optimize the scheme.This paper provides a feasible method to solve the manufacturing production line planning problems.

Early conceptual design is one of the most important stages in vehicle product development. At this stage, vehicle design information is limited. In many cases, historical or benchmark vehicle data are used as surrogates in decision making. Some of the legacy components may be reused in the new vehicle design in order to reduce development and manufacturing costs. Nowadays, parametric modeling methods have been developed and employed for conceptual vehicle design. However, how to quickly reuse the previous design and legacy vehicle data in parametric design is still a challenge. A hybrid method for parametric conceptual vehicle design is presented in this paper, which uses both legacy components and parametric surfaces. This method allows easy reuse of historical data together with new parametric surfaces for early vehicle design. It enables mix and match of legacy components with newly designed parametric surfaces in representing a new design. This method provides a systematic way to enforce the commonality and reusability in a vehicle design.

Early conceptual design is one of the most important stages in vehicle product development. At this stage, various iterations of design, analysis, validation, and confirmation need to be carried out with limited and constantly changing vehicle design information. To overcome this difficulty, computer aided design tools are widely used. Various parametric concept models are created and employed to increase the number of design iterations and reduce the design cycle time. However, two of the most common challenges still exist: 1) how to build a parametric model that is flexible and robust while maintaining adequate accuracy, and 2) how to easily manipulate the model based on limited dimensional and geometrical input available at early design stages. In this paper, a parametric modeling and controlling method is presented. It has been developed to generate and manipulate a parametric vehicle concept model for vehicle design at early design stages. This method greatly improves the flexibility and robustness of the parametric concept model, and allows easy modifications of the model based on the limited available input.