A Literature Review on Information Visualization of Manufacturing Industry Sector

Tai-Woo Chang


Business intelligence based on the data analysis come into the spotlight. Especially, information visualization of the analysis result is treated significantly. given the interest in big data technologies. Because corporate managers want to use the results of data analysis in the decision-making process and the visualization technology will give help with cognitive function and operation function. In this paper, the status of information visualization is reviewed and analyzed from the viewpoint of manufacturing service. Several implications are drawn and it is expected that they will help to developers and administrators of manufacturing sector who want to adopt information visualization applications.

Full Text:



Antoniou, C. J., Using visual analytics to drive lean behavior in program management office, Master’s thesis, MIT, 2008.

Card, S. K., MacKinlay, J., and Shneiderman, B. (eds.), Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999.

Clegg, C., Axtell, C., Damodaran, L., Farbey, B., Hull, R., Lloyd-Jones, R., Nicholls, J., Sell, R., Tomlinson, C., “Information technology: a study of performance and the role of human and organizational factors,” Ergonomics, Vol. 40, No. 9, pp. 851-871, 1997.

Cook, D. F., Zobel, C. W., and Nottingham, Q. J., “Excel-based application of data visualization techniques for process monitoring in the forest products industry,” Forest Products Journal, Vol. 54, No. 5, pp. 57-6, 2004.

Demant, C., Streicher-Abel, B., and Garnica, C., Industrial Image Processing: Visual Quality Control in Manufacturing, 2nd edition, Springer, 2013.

Eppler, M. J. and Platts, K. W., “Visual Strategizing: The Systematic Use of Visualization in the Strategic-Planning Process,” Long Range Planning, Vol. 42, No. 1, 2009.

Fekete, J.-D., van Wijk, J. J., Stasko, J. T., North, C., “The Value of Information Visualization,” Lecture Notes in Computer Science, Vol. 4950, pp. 1-18, 2008.

Fisher, M. L., “Interactive optimization,” Annals of Operations Research, Vol. 5, No. 3, pp. 539-556, 1985.

Folorunso, O. and Ogunseye, O. S., “Challenges in the Adoption of Visualization System: A Survey,” Kybernetes, Vol. 37, No. 9/10, pp. 1530-1541, 2008.

Gazmuri, P. and Arrate, I., “Modeling and Visualization for a Production Planning Decision Support System,” International Transactions in Operational Research, Vol. 2, No. 3, pp. 249-258, 1995.

Gerace, J. and Gallimore, J. J., “Evaluation of visual display techniques for assembly sequence planning,” Human Factors and Ergonomics in Manufacturing, Vol. 11, No. 3, pp. 213-231, 2001.

Godin, V. B., “Interactive scheduling: historical survey and state of the art,” AIIE Transactions, Vol. 10, No. 3, pp. 331-33, 1978.

Gritzmacher, K. J., “Visual control tools: A hidden productivity factor?,” National Productivity Review, Vol. 6, No. 4, pp. 314-323, 1987.

Haage, M. and Nilsson, K., “On the scalability of visualization in manufacturing,” Proceedings on ETFA ’99 (1999 7th IEEE International Conference on Emerging Technologies and Factory Automation), 1999.

Jang, Y., “Utilization of Big-data Technologies in Manufacturing Domain, Information & communications magazine, Vol. 29, No. 11, pp. 30-35, 2012.

Jee, H. and Campbell, R. I., “Internet-Based Design Visualization for Layered Manufacturing,” Concurrent Engineering, Vol. 11, No. 2, pp. 151-158, 2003.

Jha, P. K., Jha, R., Datt, R., and Guh, S. K., “Entropy in good manufacturing system: Tool for quality assurance,” European Journal of Operational Research, Vol. 211, No. 3, pp. 658-665, 2011.

Jones, C. V. and Maxwell, W. L., “A System for Manufacturing Scheduling with Interactive Computer Graphics,” IIE Transactions, Vol. 18, No. 3, pp. 298-303, 1986.

Kang, S. and Shim, J., “Visualization Techniques for Product Searching: using classification and property information,” Journal of Society for e-Business Studies, Vol. 11, No. 3, pp. 35-51, 2006.

Kim, J., “Analysis of IT Investment and Usage of Korean Manufacturing Companies: Difference between SMEs and Large Corporates,” Entrue Journal of Information Technology, Vol. 13, No. 2, pp. 23-33, 2014.

Latham, R., The Dictionary of Computer Graphics and Virtual Reality, Springer-Verlag: New York, 1995.

LaValle, S. et al., “Big data, analytics and the path from insights to value,” MIT Sloan Management Review, Vol. 52, No. 2, pp. 21-31, 2011.

Lee, M. S. and Moon, S. H., “The Study on Educational Job Shop Scheduling Interface Development using Human-Computer Interaction(HCI),” Business Education Review, Vol. 56, pp. 69-89, 2009.

McKinsey Global Institute, Big data: The next frontier for innovation, competition and productivity, 2011.

McCormick, B. H., DeFanti, T. A., and Brown, M. D., “Visualization in scientific computing-a synopsis,” IEEE Computer Graphics and Application, Vol. 7, No. 7, pp. 61-70, 1987.

McKensey Global Institute, Big data: The next frontier for innovation, competition, and productivity, 2011.

Mills, J., Neely, A., Platts, K., and Gregory, M., “Manufacturing strategy: a pictorial representation,” International Journal of Operations and Production Management, Vol. 18, No. 11, pp. 1067-1085, 1998.

Navab, N., “Developing killer apps for industrial augmented reality,” IEEE Computer Graphics and Applications, Vol. 24, No. 3, 2004.

Oh, B. S. and Park, J. I., “Development of a Production Information Visualization Tool for Small Production Companies,” Journal of the Korean Institute of Plant Engineering, Vol. 15, No. 4, pp. 135-143, 2010.

Ortiz, C. A. and Park, M., Visual Controls: Applying Visual Management to the Factory, Productivity Press, 2011.

Pedersen, R. and May, M., “Visualization in process control,” Human Factors and Ergonomics in Manufacturing, Vol. 9, No. 3, pp. 267-276, 1999.

Peng, G., Hou, X., Gao, J., and Cheng, D., “A visualization system for integrating maintainability design and evaluation at product design stage,” The International Journal of Advanced Manufacturing Technology, Vol. 61, No. 1-4, pp. 269-284, 2011.

Platts, K. and Tan, K. H., “Strategy visualisation: knowing, understanding, and formulating,” Management Decision, Vol. 42, No. 5, pp. 667-676, 2004.

Rohrer, M. W., Seeing Is Believing: The Importance of Visualization In Manufacturing Simulation, Proceedings of the 2000 Winter Simulation Conference, 2000.

Saboo, J. V. and Deisenroth, M. P., “Graphical control of manufacturing work cells,” Computers and Industrial Engineering, Vol. 23, No. 1-4, pp. 49-53, 1992.

Sackett, P. J. and Williams, D. K., “Data visualization in manufacturing decision making,” Journal of Advanced Manufacturing Systems, Vol. 2, No. 2, pp. 163-185, 2003.

Sackett, P. J., Al-Gaylani, M. F., Tiwari, A., and Williams, D., “A review of data visualization: Opportunities in manufacturing sequence management,” International Journal of Computer Integrated Manufacturing, Vol. 19, No. 7, pp. 689-704, 2006.

Sedlmair, M., Bernhold, C., Herrscher, D., Boring, S., and Butz, A., “Mostvis: An interactive visualization supporting automotive engineers in most catalog exploration,” Proceeding of the Conference on Information Visualization, Vol. IV, pp. 173-182, 2009.

Sedlmair, M., Isenberg, P., Baur, D., and Butz, A., “Evaluating Information Visualization in Large Companies: Challenges, Experiences and Recommendations,” Proceedings of the 3rd BELIV Workshop, pp. 79-86, 2010.

Shneiderman, B., “Inventing Discovery Tools: Combining Information Visualization with Data Mining,” Information Visualization, Vol. 1, No. 1, pp. 5-12, 2002.

Sundin, A. and Medbo, L., “Computer visualization and participatory ergonomics as methods in workplace design,” Human Factors and Ergonomics in Manufacturing, Vol. 13, No. 1, pp. 1-17, 2003.

Teich, T. et al., “Using ISO 10303-224 for 3D Visualization of Manufacturing Features,” Lecture Notes in Business Information Processing, Vol. 46, pp. 198-209, 2010.

Thron, T., Work in progress visualization & scheduling within an ERP driven manufacturing environment, IEEE International Conference on Service Operations and Logistics, and Informatics, 2008.

Vessey, I., “Cognitive Fit: A Theory-Based Analysis of the Graphs Versus Tables Literature,” Decision Sciences, Vol. 22, No. 2, pp. 219-240, 1991.

Ware, C., Information Visualization: Perception for Design. Morgan Kaufmann Publishers Inc., San Francisco, CA, 2004.

Wells, L. J., Megahed, F. M., Camelio, J. A., and Woodall, W. H., “A framework for variation visualization and understanding in complex manufacturing systems,” Journal of Intelligent Manufacturing, Vol. 23, No. 5, pp. 2025-2036, 2011.

Wensel, S., Bernhard, J., and Jessen, U., A taxonomy of visualization techniques for simulation in production and logistics, Proceedings of the 2003 Winter Simulation Conference: Driving Innovation; New Orleans, LA; United States, 2003.

Wiendahl, H.-P. and Fiebig, T. H., “Virtual factory design: A new tool for a co-operative planning approach,” International Journal of Computer Integrated Manufacturing, Vol. 16, No. 7-8, pp. 535-540, 2003.

Wu, J. and Zhang, J., Visualization techniques in Logistics: Case study on the strategy development for logistics network in Internet of Things era, Master’s thesis, University of Gävle, 2011.

Zhang, P., “Visualizing production planning data,” IEEE Computer Graphics and Applications, Vol. 16, No. 5, pp. 7-10, 1996.

Zhang, P. and Zhu, D., Information visualization in project management and scheduling, Proceedings of the 4th Conference of the ISDSS, 1997.


  • There are currently no refbacks.