Main Article Content
This research focused on the analysis of healthcare network of cleft lip and cleft palate patients at Chiang Mai University Craniofacial One Stop Service Center as the treatment hub for the northern part of Thailand. The delay was founded during the treatment plan. Patient classification was carried out using K-mean technique. The results from the classification show that the best case patient is the case with the average distance to the treatment center (64.20 km) without complication symptoms. To improve the service of this network, the proposed solution is to increase the number of treatment centers. Two hospitals, Fang and Chomthong hospitals, were proposed as the potential hospitals in this network. The mathematical model was proposed for patient assignment. Twelve districts were assigned to Maharaj Nakorn Chiang Mai hospital and 6 districts were assigned to Fang hospital and Chomthong hospital. The average distances of three groups were 32.84, 55.55 and 62.28 km less than the best case distance at 64.20 km. When the real implementation is considered, both hospitals have to increase their capabilities by hiring more specialist for this service that incurs 2.64 million baht/year for Fang hospital and 2.16 million baht/year for Chomthong hospital. With the proposed solutions, the critical time of the treatment plan can be reduced from 2,663.6 to 2,504.5 days that was 5.97%.
Keywords: Why-Why analysis; PERT technique; K-means technique; mathematical model
*Corresponding author: Tel.: +66 53 94 4125 Fax: +66 53 94 4185
Copyright Transfer Statement
The copyright of this article is transferred to Current Applied Science and Technology journal (CAST) with effect if and when the article is accepted for publication. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, electronic form (offline, online) or any other reproductions of similar nature.
The author warrants that this contribution is original and that he/she has full power to make this grant. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors.
Here is the link for download: Copyright transfer form.pdf
 Khwanngern, K., 2011. Treatment Protocol of Lip and/or Palate CMU Craniofacial Center. (in Thai) [e-book] Faculty of Medicine: Chiang Mai University. Available through: https://w1.med.cmu.ac.th/surgery/
 Techopedia Inc., 2020. Program Evaluation and Review Technique (PERT). [online] Available at: https://www.techopedia.com/definition/12112/program-evaluation-and-review-technique-pert
 Singsri, D., Worrarat, S., and Phumarj, T. 2017. Planning time reduction of electrical power systems and electrical communication system case study: Prapokklao Hospital. Dhurakij Pundit University Graduate School Journal (in Thai), 3, 1055-1069.
 Witten, I.H., Frank, E. and Hall, M.A. 2011. Data Mining: Practical Machine Learning Tools and Techniques. 3rd ed. San Francisco: Morgan Kaufmann Publications.
 Wagstaff, K., Cardie, C., Rogers, S. and Schröedl, S., 2001. Constrained K-means clustering with background knowledge. In Proceedings of the Eighteenth International Conference on Machine Learning, San Francisco, CA, USA, 577-584.
 Jongkasikit, N.N., 2016. A decision support system for analyzing the risk of two chronic diseases: Diabetes mellitus and hypertension. Industrial Technology Lampang Rajabhat University Journal, 9 (2), 11-19.
 Liu, B. 2009. Theory and Practice of Uncertain Programming. 2nd ed. Berlin: Springer.
 Thanakorn, W. and Phongsathon, E., 2018. The Location Selection of Distribution Center by Applying Mathematical Model and Center of Gravity Method: The Food and Beverage Manufacturing Case study. B.Eng. Dhurakij Pundit University.
 Tawanan, A., 2014. The Study of the Economics Cost of Cleft Lip and Cleft Palate Patients Aged 0-8 Years Admitted to Maharaj Nakorn Chiang Mai Hospital. B.Econ. Chiang Mai University.