Analysis of Taklinear Performance and Integer Linear Programming Models in Nurses Scheduling Problems

Main Article Content

Junerdi Nababan Tulus Tulus Zakarias Situmorang
Corresponding Author:
Junerdi Nababan | horaspay@gmail.com

Copyright (C):
Junerdi Nababan, Tulus Tulus, Zakarias Situmorang

Abstract

Almost all hospitals schedule nurses' work shifts manually, which is not effective, mistakes in scheduling nurses in hospitals can make them not work optimally so that they are prone to making mistakes and will endanger every patient in the hospital. In the research will be proposed integer linear programming model and branch and bound method, the purpose of this study is to develop an optimization model of nurse scheduling problems at the hospital. The optimization model will minimize the total deviation of nurses' working days from the standard workdays, the optimization model implemented in hospitals is processed using LINGO software.

Keyword: Nursing Scheduling Issues, Integer Linear Programming, LINGO

Downloads

Download data is not yet available.

Article Details

How to Cite
NABABAN, Junerdi; TULUS, Tulus; SITUMORANG, Zakarias. Analysis of Taklinear Performance and Integer Linear Programming Models in Nurses Scheduling Problems. SinkrOn, [S.l.], v. 4, n. 2, p. 123-129, mar. 2020. ISSN 2541-2019. Available at: <http://jurnal.polgan.ac.id/index.php/sinkron/article/view/10528>. Date accessed: 25 may 2020. doi: https://doi.org/10.33395/sinkron.v4i2.10528.
Section
Articles
* Abstract viewed = 0 times PDF downloaded = 0 times *

References

Angeline, A., Iryanto, I., & Tarigan, G. (2014). Penerapan metode branch and bound dalam menentukan jumlah produksi optimum pada cv. Xyz. Saintia Matematika , 2 (2), 137-145.

Bakhtiar, H. T., & Jaharuddin, J. (2017). The nurse scheduling problem: a goal programming and nonlinear optimization approaches. IOP Conference Series: Materials Science and Engineering .

Hakim, L., Bakhtiar, T., & Jaharuddin, J. (2017). The nurse scheduling problem: a goal programming and nonlinear optimization approaches. Materials Science and Engineering , 1-7.

Hasan, M. M., & Arefin, M. R. (2017). Aplication Of Linear in Scheduling Problem. Dhaka Univ. J. Sci , 145-150.
Jafari, H., & Salmasi, N. (2015). Maximizing the nurses’ preferences in nurse scheduling problem: mathematical modeling and a meta-heuristic algorithm. J Ind Eng Int .

KOÇ, B. A., & AKTAN, M. (2019). The Solution of Nurse Scheduling Problem with Simulated Annealing Algorithm. Journal of Scientific and Engineering Research , 6 (4), 153-160.

Nur, W., & Abdal, N. M. (2016). Penggunaan Metode Branch and Bound dan Gomory Cut. JURNAL SAINTIFIK , 2 (1), 9-15.

Rafeek, F. S., & Siswanto, N. (2015). Solving Course Timetable Problem by using Integer Linear Programming (Case Study IE Department of ITS). International Seminar on Science and Technology .

Sumathi, P. (2016). A new approach to solve linear programming problem with intercept values. Journal of Information & Optimization Sciences .

Suryawan, G., Tastrawati, N. K., & Sari, K. (2016). Penerapan branch and bound algorithm dalam optimalisasi produksi roti. E-Jurnal Matematika , 5 (4), 148-155.