Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka

Sugath Pathiraja

doi:doi:10.11648/j.ijdst.20241004.12

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Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka

Sugath Pathiraja^*

Published in International Journal on Data Science and Technology (Volume 10, Issue 4)

Received: 3 November 2024 Accepted: 18 November 2024 Published: 3 December 2024

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Abstract

This article explores the application of the Cycle and Chain Algorithms in optimizing employee transfers, with a specific focus on Grade Medical Officers in Sri Lanka. Transfers in large organizations often involve complex cycles or chains of movement, where one employee is replaced by another in a linked sequence. These algorithms have been adapted to identify and track these patterns within the annual transfer system, efficiently processing thousands of requests while ensuring service continuity across healthcare institutions. The study reveals a significant reduction in manual workload and enhanced accuracy in identifying transfer patterns, particularly in complex scenarios where traditional methods may fail to detect hidden links between movements. The algorithms are demonstrated to be particularly valuable in the healthcare sector, where uninterrupted services are critical. By automating the identification of cycles and chains, they enable human resource managers to streamline workflows, improve transparency, and support fair decision-making processes. Furthermore, these algorithms are versatile and have broad potential applications beyond healthcare, including logistics, finance, and emergency services, where interdependent movements are common. Their systematic and efficient approach offers organizations a robust solution to handle complex movement processes, minimizing bottlenecks and reducing the likelihood of errors in decision-making. This study underscores the transformative potential of Cycle and Chain Algorithms in modern human resource management, demonstrating how their application can enhance operational efficiency, fairness, and transparency in transfer processes, while also offering insights for their adoption in other industries with similar logistical challenges.

Published in	International Journal on Data Science and Technology (Volume 10, Issue 4)
DOI	10.11648/j.ijdst.20241004.12
Page(s)	81-91
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Employee Transfers, Cycle and Chain Algorithms, HR Management, Sri Lanka, Graph Theory

References

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APA Style

Pathiraja, S. (2024). Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka. International Journal on Data Science and Technology, 10(4), 81-91. https://doi.org/10.11648/j.ijdst.20241004.12

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ACS Style

Pathiraja, S. Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka. Int. J. Data Sci. Technol. 2024, 10(4), 81-91. doi: 10.11648/j.ijdst.20241004.12

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AMA Style

Pathiraja S. Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka. Int J Data Sci Technol. 2024;10(4):81-91. doi: 10.11648/j.ijdst.20241004.12

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@article{10.11648/j.ijdst.20241004.12,
  author = {Sugath Pathiraja},
  title = {Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka
},
  journal = {International Journal on Data Science and Technology},
  volume = {10},
  number = {4},
  pages = {81-91},
  doi = {10.11648/j.ijdst.20241004.12},
  url = {https://doi.org/10.11648/j.ijdst.20241004.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20241004.12},
  abstract = {This article explores the application of the Cycle and Chain Algorithms in optimizing employee transfers, with a specific focus on Grade Medical Officers in Sri Lanka. Transfers in large organizations often involve complex cycles or chains of movement, where one employee is replaced by another in a linked sequence. These algorithms have been adapted to identify and track these patterns within the annual transfer system, efficiently processing thousands of requests while ensuring service continuity across healthcare institutions. The study reveals a significant reduction in manual workload and enhanced accuracy in identifying transfer patterns, particularly in complex scenarios where traditional methods may fail to detect hidden links between movements. The algorithms are demonstrated to be particularly valuable in the healthcare sector, where uninterrupted services are critical. By automating the identification of cycles and chains, they enable human resource managers to streamline workflows, improve transparency, and support fair decision-making processes. Furthermore, these algorithms are versatile and have broad potential applications beyond healthcare, including logistics, finance, and emergency services, where interdependent movements are common. Their systematic and efficient approach offers organizations a robust solution to handle complex movement processes, minimizing bottlenecks and reducing the likelihood of errors in decision-making. This study underscores the transformative potential of Cycle and Chain Algorithms in modern human resource management, demonstrating how their application can enhance operational efficiency, fairness, and transparency in transfer processes, while also offering insights for their adoption in other industries with similar logistical challenges.
},
 year = {2024}
}

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TY  - JOUR
T1  - Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka

AU  - Sugath Pathiraja
Y1  - 2024/12/03
PY  - 2024
N1  - https://doi.org/10.11648/j.ijdst.20241004.12
DO  - 10.11648/j.ijdst.20241004.12
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 81
EP  - 91
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20241004.12
AB  - This article explores the application of the Cycle and Chain Algorithms in optimizing employee transfers, with a specific focus on Grade Medical Officers in Sri Lanka. Transfers in large organizations often involve complex cycles or chains of movement, where one employee is replaced by another in a linked sequence. These algorithms have been adapted to identify and track these patterns within the annual transfer system, efficiently processing thousands of requests while ensuring service continuity across healthcare institutions. The study reveals a significant reduction in manual workload and enhanced accuracy in identifying transfer patterns, particularly in complex scenarios where traditional methods may fail to detect hidden links between movements. The algorithms are demonstrated to be particularly valuable in the healthcare sector, where uninterrupted services are critical. By automating the identification of cycles and chains, they enable human resource managers to streamline workflows, improve transparency, and support fair decision-making processes. Furthermore, these algorithms are versatile and have broad potential applications beyond healthcare, including logistics, finance, and emergency services, where interdependent movements are common. Their systematic and efficient approach offers organizations a robust solution to handle complex movement processes, minimizing bottlenecks and reducing the likelihood of errors in decision-making. This study underscores the transformative potential of Cycle and Chain Algorithms in modern human resource management, demonstrating how their application can enhance operational efficiency, fairness, and transparency in transfer processes, while also offering insights for their adoption in other industries with similar logistical challenges.

VL  - 10
IS  - 4
ER  -

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Author Information

Sugath Pathiraja

Health Information and Research Unit, Teaching Hospital, Kurunegala, Sri Lanka

Contact Email

http://orcid.org/0009-0005-8929-6702

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Plain Text BibTeX RIS

APA Style

Pathiraja, S. (2024). Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka. International Journal on Data Science and Technology, 10(4), 81-91. https://doi.org/10.11648/j.ijdst.20241004.12

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ACS Style

Pathiraja, S. Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka. Int. J. Data Sci. Technol. 2024, 10(4), 81-91. doi: 10.11648/j.ijdst.20241004.12

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AMA Style

Pathiraja S. Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka. Int J Data Sci Technol. 2024;10(4):81-91. doi: 10.11648/j.ijdst.20241004.12

Copy | Download

@article{10.11648/j.ijdst.20241004.12,
  author = {Sugath Pathiraja},
  title = {Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka
},
  journal = {International Journal on Data Science and Technology},
  volume = {10},
  number = {4},
  pages = {81-91},
  doi = {10.11648/j.ijdst.20241004.12},
  url = {https://doi.org/10.11648/j.ijdst.20241004.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20241004.12},
  abstract = {This article explores the application of the Cycle and Chain Algorithms in optimizing employee transfers, with a specific focus on Grade Medical Officers in Sri Lanka. Transfers in large organizations often involve complex cycles or chains of movement, where one employee is replaced by another in a linked sequence. These algorithms have been adapted to identify and track these patterns within the annual transfer system, efficiently processing thousands of requests while ensuring service continuity across healthcare institutions. The study reveals a significant reduction in manual workload and enhanced accuracy in identifying transfer patterns, particularly in complex scenarios where traditional methods may fail to detect hidden links between movements. The algorithms are demonstrated to be particularly valuable in the healthcare sector, where uninterrupted services are critical. By automating the identification of cycles and chains, they enable human resource managers to streamline workflows, improve transparency, and support fair decision-making processes. Furthermore, these algorithms are versatile and have broad potential applications beyond healthcare, including logistics, finance, and emergency services, where interdependent movements are common. Their systematic and efficient approach offers organizations a robust solution to handle complex movement processes, minimizing bottlenecks and reducing the likelihood of errors in decision-making. This study underscores the transformative potential of Cycle and Chain Algorithms in modern human resource management, demonstrating how their application can enhance operational efficiency, fairness, and transparency in transfer processes, while also offering insights for their adoption in other industries with similar logistical challenges.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Cycle and Chain Algorithms for Optimizing Employee Transfers: A Case Study of Grade Medical Officer Transfers in Sri Lanka

AU  - Sugath Pathiraja
Y1  - 2024/12/03
PY  - 2024
N1  - https://doi.org/10.11648/j.ijdst.20241004.12
DO  - 10.11648/j.ijdst.20241004.12
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 81
EP  - 91
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20241004.12
AB  - This article explores the application of the Cycle and Chain Algorithms in optimizing employee transfers, with a specific focus on Grade Medical Officers in Sri Lanka. Transfers in large organizations often involve complex cycles or chains of movement, where one employee is replaced by another in a linked sequence. These algorithms have been adapted to identify and track these patterns within the annual transfer system, efficiently processing thousands of requests while ensuring service continuity across healthcare institutions. The study reveals a significant reduction in manual workload and enhanced accuracy in identifying transfer patterns, particularly in complex scenarios where traditional methods may fail to detect hidden links between movements. The algorithms are demonstrated to be particularly valuable in the healthcare sector, where uninterrupted services are critical. By automating the identification of cycles and chains, they enable human resource managers to streamline workflows, improve transparency, and support fair decision-making processes. Furthermore, these algorithms are versatile and have broad potential applications beyond healthcare, including logistics, finance, and emergency services, where interdependent movements are common. Their systematic and efficient approach offers organizations a robust solution to handle complex movement processes, minimizing bottlenecks and reducing the likelihood of errors in decision-making. This study underscores the transformative potential of Cycle and Chain Algorithms in modern human resource management, demonstrating how their application can enhance operational efficiency, fairness, and transparency in transfer processes, while also offering insights for their adoption in other industries with similar logistical challenges.

VL  - 10
IS  - 4
ER  -

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