Nurse scheduling using binary fuzzy goal programming

Cetin, Ece; Sarucan, Ahmet

doi:10.1109/icmsao.2015.7152212

Cited by 11 publications

(4 citation statements)

References 19 publications

(19 reference statements)

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“…Our PATNEED algorithm is designed to improve a patient's recovery and its satisfaction and nurse's utilization by allocating nurses based on patient's needs from his requirement set. In this paper we present a multi-objective [7][8][9] and a compact Integer Programming formulation of a patient-centric nurse scheduling problem, with a polynomial number of constraints and variables. In this patient centric model, various parameters are defined to represent the nurse's skills, constraints, patient's preferences for a specific nurse, their location, ailments, etc.…”

Section: Introductionmentioning

confidence: 99%

A Patient-Centric Nurse Scheduling Algorithm

2021

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This paper introduces a new approach to the well-studied nurse scheduling problem. Nurse scheduling problem involves multiple inter-related parameters concerning nurse and patients, which makes the problem too complex. As a result, many of the traditional NSPs are forced to consider only the nurse-respective parameters for generating the schedules. In this paper, we have considered patient recovery as the ultimate objective of nurse scheduling. To achieve this, we have considered patient's needs and priorities besides the nurse skills, and environment (e.g. logistic) parameters as basic constraints. This paper aims to minimize soft constraints as well as to improve patient's satisfaction and quality of service of nurse assignment. We have defined a number of hard and soft constraints based on patient's requirements, ailments, preferences for a particular nurse, nurse's skill parameters, penalty, demands on duties, matching quotient with patient's requirements, location, etc. The assignment of nurses to patients for a particular shift depend on the relation between patient's need and the skill factor of the nurse, besides, of course, the availability factor of the nurse. This helps in achieving efficiency of the overall solution, besides properly supporting qualitative issues. In this regards, two objective functions are devised here to maximize the nurse's rewards and minimize the scheduling computational cost. The resulting algorithm has been tested on real-case scenarios of a nursing centre, providing evidence of the actual advantages of the proposed solution.

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Section: Introductionmentioning

confidence: 99%

A Patient-Centric Nurse Scheduling Algorithm

2021

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“…Nowadays, the management and planning for human resources is one of the significant impacts which have a crucial effect on economic success for any industrial project. Many approaches to achieve this goal of study have been presented such as; techniques which are based on artificial programming, models of mathematical simulation, and inferential statistics (Çetin and Sarucan 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The goal programming theory also has a remarkable contribution in this field of study. Çetin and Sarucan (2015) mentioned that the application of goal programming is still possessing a leading position in solving the decision making problems which have multi objectives. Rahman et al (2018) pointed out that the GP is an effective approach which is primarily applied to obtain compromised solutions to the engineering activities to implement the targeted design goals.…”

Section: Introductionmentioning

confidence: 99%

Application of Multiply Regression Linear Model and New Technology Method in Estimating Learning and Education of Students

Radhy

2018

Int Elect J Math Ed

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The Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. With the advent of modern technologies and modern information technologies and its impact on various aspects of life, using it as a tool to facilitate learning in all the courses, and in particular mathematics, is inevitable. Meanwhile, the key role of the teacher in the teaching-learning process, the need for teachers to prepare teachers to face the diversity of existing technologies, to measure and identify efficient tools and apply them to teaching, undeniably undeniable. Which will be very complicated. In order to prepare for the teaching of mathematics, their teachers must have a profound and broad understanding of the subjects and mathematical subjects in order to be able to generalize and understand the content and educational technology of technology, to what Meaning of education along with technology. In fact, the need for the interference between the two areas of mathematics and technology is the dominance of teachers in both domains. In other words, teaching along with technology means that as long as the teacher thinks about specific mathematical concepts, one must simultaneously contemplate how to make mathematical concepts comprehensible to his students using the technology of expression In this research, we have tried to highlight the role of teachers in identifying the achievements of using technology in mathematics education in order to better realize this important issue.

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“…e aim is to improve overall nurse preferences in a hospital in ailand. Similarly, Cetin and Sarucan [23] aimed for balancing the total work hours among the nurses. ey consider factors influencing nurses' preferences such as the desirable shift patterns, weekend day off allocation, and balance between day and night shifts.…”

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confidence: 99%

A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction

Rerkjirattikal

Huynh

Olapiriyakul

et al. 2020

Mathematical Problems in Engineering

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The use of scheduling optimization tools is essential in creating an efficient nurse shift-rotation schedule. A well-designed nurse scheduling technique can improve nurses’ job satisfaction and their intention to stay. This study develops a goal programming approach to nurse scheduling that simultaneously considers workload fairness and individual preferences on working shift and day off assignments. A case study of an operating room at a hospital in Thailand is used to illustrate the model capabilities for solving an actual nurse scheduling problem. The job satisfaction factors defined based on an interview and questionnaire survey are integrated into the model. When compared against the manual scheduling result, the optimal schedules can be implemented to improve the nurse’s perception of fairness and preference satisfaction. The analysis of fairness and multiple individual preferences based on a case study investigation is the main contribution of this study.

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Nurse scheduling using binary fuzzy goal programming

Cited by 11 publications

References 19 publications

A Patient-Centric Nurse Scheduling Algorithm

A Patient-Centric Nurse Scheduling Algorithm

Application of Multiply Regression Linear Model and New Technology Method in Estimating Learning and Education of Students

A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction

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