A comparative study of assembly planning in traditional and virtual environments

Presents an experiment that investigated the potential benefits of virtual reality (VR) environments in supporting assembly planning. In the experiment, 15 subjects performed an assembly planning task in three different conditions: a traditional engineering (TE) environment, a nonimmersive desktop VR (DVR) environment, and an immersive CAVE (Cave Automatic Virtual Environment) VR (CVR) environment. The effects of the three conditions on the subjects' performance were analyzed. The subjects' performance time in the TE condition was significantly longer than that in the DVR condition and that in the CVR condition, whereas the difference in performance time between the DVR condition and the CVR condition was not significant. The total number of problematic assembly steps in the TE condition was significantly greater than that in the CVR condition. Specifically, the subjects' assembly sequences in the TE condition involved more reorientations than in the DVR condition. The number of difficult assembly steps in the TE condition was significantly greater than that in the DVR condition, which was significantly greater than that in the CVR condition. The number of dissimilar assembly steps in the TE condition was significantly greater than that in the CVR condition, which was significantly greater than that in the DVR condition. Hence, the results revealed advantages of the two VR environments over the TE environment in improving the subjects' overall assembly planning performance and in minimizing the handling difficulty, excessive reorientation and dissimilarity of assembly operations.

[1]  Mikell P. Groover,et al.  CAD/CAM: Computer-Aided Design and Manufacturing , 1983 .

[2]  C. L. Philip Chen.  Automatic assembly sequences generation by pattern-matching , 1989, IEEE 1989 International Conference on Systems Engineering.

[3]  Thomas L. DeFazio,et al.  An integrated computer aid for generating and evaluating assembly sequences for mechanical products , 1991, IEEE Trans. Robotics Autom..

[4]  Woodrow Barfield,et al.  The effects of two- or three-dimensional graphics on the problem-solving performance of experienced and novice decision makers , 1989 .

[5]  Alain Delchambre,et al.  Computer-aided Assembly Planning , 1992 .

[6]  Randall H. Wilson.  Minimizing user queries in interactive assembly planning , 1995, IEEE Trans. Robotics Autom..

[7]  Tien-Chien Chang,et al.  3D MAPS: Three-dimensional mechanical assembly planning system , 1993 .

[8]  Hoda A. ElMaraghy,et al.  GAPP: A generative assembly process planner , 1996 .

[9]  C. S. George Lee,et al.  A framework of knowledge-based assembly planning , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[10]  Nong Ye,et al.  Heuristic rules and strategies of assembly planning: experiment and implications in the design of assembly decision support system , 1996 .

[11]  James E. Fowler,et al.  Systems Integration for Manufacturing Applications Program 1995 Annual Report | NIST , 1996 .

[12]  Kiam Tian Seow,et al.  A temporal framework for assembly sequence representation and analysis , 1994, IEEE Trans. Robotics Autom..

[13]  Riaz Mohammad.  Spatial reasoning about three-dimensional mechanical assemblies , 1993 .

[14]  Arthur C. Sanderson,et al.  Two criteria for the selection of assembly plans: maximizing the flexibility of sequencing the assembly tasks and minimizing the assembly time through parallel execution of assembly tasks , 1991, IEEE Trans. Robotics Autom..

[15]  Nong Ye,et al.  Re-engineering the product development cycle and future enhancements of the computer integrated environment , 1995 .

[16]  Gavriel Salvendy,et al.  Handbook of industrial engineering , 2001 .

[17]  C. L. Philip Chen,et al.  A systematic approach for design and planning of mechanical assemblies , 1993, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[18]  Arthur C. Sanderson,et al.  Task decomposition and analysis of robotic assembly task plans using Petri nets , 1994, IEEE Trans. Ind. Electron..

[19]  Nanua Singh.  Systems Approach to Computer-Integrated Design and Manufacturing , 1995 .

[20]  Jan Wolter,et al.  A structure-oriented approach to assembly sequence planning , 1997, IEEE Trans. Robotics Autom..

[21]  E. Kroll,et al.  Automatic generation of exploded view by graph transformation , 1993, Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications.

[22]  Utpal Roy,et al.  Design of an automated assembly environment , 1989 .

[23]  Sukhan Lee,et al.  Backward assembly planning , 1991, [Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91.

[24]  U. Rembold,et al.  Computer Integrated Manufacturing And Engineering , 1993 .

[25]  Ibrahim Zeid,et al.  CAD/CAM theory and practice , 1991 .

[26]  Arthur C. Sanderson,et al.  A correct and complete algorithm for the generation of mechanical assembly sequences , 1991, IEEE Trans. Robotics Autom..