Investigating the appointment scheduling system at dental clinic using greedy heuristics
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 treatme...
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Universiti Tun Hussein Onn Malaysia
2018
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my.uum.repo.260322019-05-09T06:10:48Z http://repo.uum.edu.my/26032/ Investigating the appointment scheduling system at dental clinic using greedy heuristics Mat Desa, Wan Laailatul Hanim Abdul Rahman, Rosshairy Law, Ying Hwei Yong, Choy Fung QA75 Electronic computers. Computer science 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. Universiti Tun Hussein Onn Malaysia 2018 Article PeerReviewed application/pdf en http://repo.uum.edu.my/26032/1/JTMB%205%203%202018%2022%2028.pdf Mat Desa, Wan Laailatul Hanim and Abdul Rahman, Rosshairy and Law, Ying Hwei and Yong, Choy Fung (2018) Investigating the appointment scheduling system at dental clinic using greedy heuristics. Journal of Technology Management & Business, 5 (3). pp. 22-28. ISSN 2289-7224 http://doi.org/10.30880/jtmb.2018.05.03.004 doi:10.30880/jtmb.2018.05.03.004 |
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QA75 Electronic computers. Computer science Mat Desa, Wan Laailatul Hanim Abdul Rahman, Rosshairy Law, Ying Hwei Yong, Choy Fung Investigating the appointment scheduling system at dental clinic using greedy heuristics |
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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. |
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Article |
author |
Mat Desa, Wan Laailatul Hanim Abdul Rahman, Rosshairy Law, Ying Hwei Yong, Choy Fung |
author_facet |
Mat Desa, Wan Laailatul Hanim Abdul Rahman, Rosshairy Law, Ying Hwei Yong, Choy Fung |
author_sort |
Mat Desa, Wan Laailatul Hanim |
title |
Investigating the appointment scheduling system at dental clinic using greedy heuristics |
title_short |
Investigating the appointment scheduling system at dental clinic using greedy heuristics |
title_full |
Investigating the appointment scheduling system at dental clinic using greedy heuristics |
title_fullStr |
Investigating the appointment scheduling system at dental clinic using greedy heuristics |
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Investigating the appointment scheduling system at dental clinic using greedy heuristics |
title_sort |
investigating the appointment scheduling system at dental clinic using greedy heuristics |
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Universiti Tun Hussein Onn Malaysia |
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2018 |
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http://repo.uum.edu.my/26032/1/JTMB%205%203%202018%2022%2028.pdf http://repo.uum.edu.my/26032/ http://doi.org/10.30880/jtmb.2018.05.03.004 |
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