INVESTIGATING THE APPOINTMENT SCHEDULING SYSTEM AT DENTAL CLINIC USING GREEDY HEURISTICS

Authors

  • Wan Laailatul Hanim Mat Desa School of Quantitative Sciences, College of Arts and Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia.
  • Rosshairy Abdul Rahman School of Quantitative Sciences, College of Arts and Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia.
  • Lau Ying Hwei School of Quantitative Sciences, College of Arts and Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia.
  • Yong Choy Fung School of Quantitative Sciences, College of Arts and Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia.

Keywords:

appointment, job shop scheduling, dental clinic, number of patients delayed, total time delayed

Abstract

This study was designed to discuss the application of job shop scheduling with greedy technique to investigate the total time delayed for completing the dental treatment in the dental clinic. The aim of this study is to identify the total number of patients delayed for completing the dental treatment as scheduled per day. Besides, this study also aims to examine the solution obtained from each greedy technique. There are three greedy techniques have been employed which are the earliest due date, shortest processing time and longest processing time. The result of the investigation indicated that the techniques of the earliest due date and shortest processing time provide optimal solution with no delays. It is shows that the solution from this study can be used as a guideline of patient scheduling in any related application.

Keywords: appointment, job shop scheduling, dental clinic, number of patients delayed, total time delayed

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Published

12-02-2018

How to Cite

Mat Desa, W. L. H., Abdul Rahman, R., Hwei, L. Y., & Fung, Y. C. (2018). INVESTIGATING THE APPOINTMENT SCHEDULING SYSTEM AT DENTAL CLINIC USING GREEDY HEURISTICS. Journal of Technology Management and Business, 5(3). Retrieved from https://penerbit.uthm.edu.my/ojs/index.php/jtmb/article/view/2266

Issue

Vol. 5 No. 3 (2018)

Section

Articles

License

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