Main Article Content
Product inspection is an important step and a major quality control component for many industrial tasks. Visual inspection is based on the use of the human eye to search surface defects. The objective of this research was to compare three types of visual search patterns, investigate and identify differences between different pattern of visual search in terms of performance measures to identify an effective means of significantly the inspector for non-geometric shape inspection tasks. The random search pattern, vertical search pattern and horizontal search pattern were used to instruct participants on visual inspection. Participants were provided information about number of defect per inspection tasks, provided with verbal description and graphical of the defect types, visual search method of each groups and rotation method for inspected. Then, the trials of visual inspection. The performance of visual inspections measured by the mean search time and the percentage of defects detected for each
visual search patterns. Analysis of one-way ANOVA both indicated a significant treatment effect, (F (2, 15) = 56.425, p < 0.05), (F (2, 15) = 15.943, p < 0.05). Fisher’s Protected LSD Comparison procedure was conducted to determine what differences, least significant difference multiple comparison analysis indicated that the performance of the horizontal search was significantly better than that of the random search and vertical search. One reason for this might be that the horizontal search pattern was a systematic search method that covered the total inspection area.
Based on the results of this study, the horizontal search pattern was the appropriate pattern of visual search of complicated shapes or non-geometric shapes, it is
recommended that horizontal search pattern be used in the visual search of inspectors for non-geometric shape inspection tasks.
Article Accepting Policy
The editorial board of Thai-Nichi Institute of Technology is pleased to receive articles from lecturers and experts in the fields of business administration, languages, engineering and technology written in Thai or English. The academic work submitted for publication must not be published in any other publication before and must not be under consideration of other journal submissions. Therefore, those interested in participating in the dissemination of work and knowledge can submit their article to the editorial board for further submission to the screening committee to consider publishing in the journal. The articles that can be published include solely research articles. Interested persons can prepare their articles by reviewing recommendations for article authors.
Copyright infringement is solely the responsibility of the author(s) of the article. Articles that have been published must be screened and reviewed for quality from qualified experts approved by the editorial board.
The text that appears within each article published in this research journal is a personal opinion of each author, nothing related to Thai-Nichi Institute of Technology, and other faculty members in the institution in any way. Responsibilities and accuracy for the content of each article are owned by each author. If there is any mistake, each author will be responsible for his/her own article(s).
The editorial board reserves the right not to bring any content, views or comments of articles in the Journal of Thai-Nichi Institute of Technology to publish before receiving permission from the authorized author(s) in writing. The published work is the copyright of the Journal of Thai-Nichi Institute of Technology.
 J. E. See, Visual inspection : a review of the literature. United States: Sandia National Laboratories, 2012.
 C. G. Drury, F. W. Spencer, and D. L. Schurman, “Measuring Human Detection Performance in Aircraft Visual Inspection,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 41, no. 1, pp. 304–308, Oct. 1997.
 C. G. Drury and P. Prabhu, “Information requirements of aircraft inspection: framework and analysis,” International Journal of Human-Computer Studies, vol. 45, no. 6, pp. 679–695, Dec. 1996.
 A. Watanapa and S. Kaewkuekool, “A comparison of visual inspection training strategies to improve Thai inspector,” in Proceeding of the HAAMAHA 2007 Managing Enterprise of the Future, Poznan, Poland, July 9-12, pp. 472–475.
 G. M. Nickles, V. Sacrez, and A. K. Gramopadhye, “Can we Train Humans to be Systematic Inspectors?,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol.42, no. 16, pp. 1165–1169, Oct. 1998.
 F. B. Chaney and K. S. Teel, “Improving inspector performance through training and visual aids,” J Appl Psychol, vol. 51, no. 4, pp. 311–315, Aug. 1967.
 G. M. Nickles III, B. J. Melloy, and A. K. Gramopadhye, “A comparison of three levels of training designed to promote systematic search behavior in visual inspection,” International Journal of Industrial Ergonomics, vol. 32, no. 5, pp. 331–339, Nov. 2003.
 M. A. Sinclair, “Ergonomics of quality control,” in International Conference on Occupational Ergonomics and Health, America, 2014.
 C. G. Drury, “Integrating Human Factors Models into Statistical Quality Control,”Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 20, no. 5, pp. 561–572, Oct. 1978.
 D. Nalanagula, J. S. Greenstein, and A. K. Gramopadhye, “Evaluation of the effect of feed forward training displays of search strategy on visual search performance,” International Journal of Industrial Ergonomics, vol. 36, no. 4, pp. 289–300, Apr. 2006.
 T. J. Gallwey, “Evaluation and control of industrial inspection: Part I — Guidelines for the practitioner 1,” International Journal of Industrial Ergonomics, vol. 22, no. 1–2, pp. 37–49, 1998.
 C. G. Drury and F. J. Graham, Human Reliability in Quality Control. London: Taylor and Francis, 1975.
 L. G. Williams, “Target Conspicuity and Visual Search ,” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 8, no. 1, pp. 80–92, Feb. 1966.
 A. Watanapa, S. Kaewkuekoo, and S. Suksakulch, “Systematic Search for Visual Inspection on a 3- Dimensional Simulation Model,” Journal of Engineering and Applied Sciences, vol. 6, no. 4, pp. 237–241, Apr. 2011.
 C. A. Baker, D. F. Morris, and W. C. Steedman, “Target Recognition on Complex Displays,” Human Factors:The Journal of the Human Factors and Ergonomics Society, vol. 2, no. 2, pp. 51–60, May 1960.
 T. Morawski, C. G. Drury, and M. H. Karwan, “Predicting Search Performance for Multiple Targets,” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 22, no. 6, pp. 707–718, 1980.
 E. D. Megaw and J. Richardson, “Target Uncertainty and Visual Scanning Strategies,” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 21, no. 3, pp. 303–315, Jun. 1979.
 M. Carrasco, L. Pizarro, and D. Mery, “Visual inspection of glass bottlenecks by multiple-view analysis,” International Journal of Computer Integrated Manufacturing, vol. 23, no. 10, pp. 925–941, Oct. 2010.
 N. Santirat, K. Sittichai, and S. Supreeya, “A Comparison Study of Inspector’s Performance between Regular and Complex Tasks,” International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, vol. 3, no. 5, pp. 516 – 519, 2009.
 D. H. Harris, “The Nature of Industrial Inspection1,”Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 11, no. 2, pp. 139–148, Apr. 1969.