Applying Queuing Theory and Mixed Integer Programming to Blood Center Nursing Schedules of a Large Hospital in China

Luo, Li; Liu, Xiaofei; Cui, Xinyuan; Cheng, Yuanjun; Yu, Xinzhu; Li, Yue; Jiang, Li; Tan, Mingying

doi:10.1155/2020/9373942

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…(2020), who study the applying queuing theory and mixed integer programming in a large hospital in China, they considered an important outpatient services, has been unable to satisfy the increasing demand since the increasing number of patients, that resulting in long queues and affects patient satisfaction. Also, the data revealed that positive patient satisfaction by applying queuing theory and mixed nursing integer programming [11].…”

Section: Variablesmentioning

confidence: 97%

Effect of Queue Management System on Quality of Nursing Care and Patient Satisfaction

Guarte

Elsayed²,

Khalil³

2022

Benha Journal of Applied Sciences

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Background: Queuing Management System usage become a symbol of the efficiency of majority of hospital worldwide. Managing the length of the client waiting line effect on quality of care and patient satisfaction. Aim of the study: assess the effect of queue management system on quality of nursing care and patient satisfaction. Research Design: A quasi-experimental design was utilized. Setting: outpatient department at Saudi German Hospital Cairo. Subjects: A 40 nurses who working in outpatient clinics and a 42 patients. Tools for data collection; Five tools were used as follow; Queue Management System knowledge questionnaire, Observational checklist regarding Queue Management System practices, nurses' attitude toward Queue Management System questionnaire, Quality of nursing care questionnaire and patient satisfaction questionnaire Results: the study results showed that, there was highly statistical significant difference improvement of nurses' knowledge scores at post and follow up program phases compared with preprogram phase, also, the most of nurses had satisfactory practice level at post program and follow up phases compared with preprogram phase, in addition, there was highly statistical significant difference improvement of nurses' attitude scores regarding queue management system throughout post and follow up program phases ; and the most of patients reported that there was high quality of nursing care level during post program and follow up phases compared with preprogram phase, finally, there was highly statistical significant difference improvement of patient satisfaction scores throughout post and follow up program phases compared with preprogram phase. Conclusion: Applying Queuing Management System can increase patient satisfaction and Quality of care. Recommendations: Hospital management should apply Queuing Management System for any service with waiting lines, For Nurses they should attended the continuous education programs, while for patients they should give feedback regarding the system and quality of nursing care.

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Section: Variablesmentioning

confidence: 97%

Effect of Queue Management System on Quality of Nursing Care and Patient Satisfaction

Guarte

Elsayed²,

Khalil³

2022

Benha Journal of Applied Sciences

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“…Their proposed algorithm obtains better objective function values. Similarly, Luo et al [57] apply a two-stage approach: The first stage calculates the number of staff via a queuing model. The second stage designs schedules using the number of staff determined in stage one via a mixed integer program.…”

Section: Literature Reviewmentioning

confidence: 99%

On a timetabling problem in the health care system

Al-Mudahka

Alhamad

2022

RAIRO-Oper. Res.

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This paper proposes a literature review and a mathematical goal program for the design of timetables for radiologists. The goal program converts the tedious monthly tasks of the head of the radiology department of a leading hospital to a simple goal optimization problem that abides to the regulations of the Ministry of Health and avoids conflicting issues that may arise among coworkers. The optimization problem which is designed for the tactical level can also be used at the strategic level (i.e., account for a long time horizon) to plan for longer term constraints such vacations, medical and study leaves, recruitment, retirement, etc. Despite its large size, the problem is herein solved using an off-the-shelf solver (CPLEX). Empirical tests on the design of timetables for the case study prove the efficiency of the obtained schedule and highlights the time gain and utility of the developed model. They reflect the practical aspects of timetabling and radiologists' availability. Specifically, not only does the model and its solution reduce the effort of the Department head in this design stage, but it also promotes social peace among the technicians and a sense of fairness / unbiasedness. In addition, the designed model can be used at the operational level as a rescheduling tool by those technicians wishing to trade their shifts, and as a sensitivity analysis tool by managers wishing to study the effect of some phenomena such as absenteeism, increasing or decreasing the workforce, and extending work hours on the welfare of patients.

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A fast-flexible strategy based approach to solving employee scheduling problem considering soft work time

Ma,

Yang,

et al. 2024

Sci Rep

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Employee scheduling aims to assign employees to shifts to satisfy daily workload and constraints. Some employee scheduling problems and their variants have been proven NP-hard, and a series of works have been done. However, the existing algorithms consider the fixed work time, which may cause plenty of overstaffing and understaffing phenomenons. Hence, this paper proposes a fast-flexible strategy based approach (FFS) to solve it. FFS introduces the idea of soft work time, which allows the work time of employees can be adjusted in a range. Based on this, we set the flextime strategy to decide the specific work time of each employee every day. Besides, FFS adopts a pairwise-allocated strategy and proficiency average matrix to boost its efficiency and effectiveness. Finally, the extensive experimental evaluation shows that FFS is more effective and efficient than the baselines for solving the employee scheduling problem considering soft work time.

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Applying Queuing Theory and Mixed Integer Programming to Blood Center Nursing Schedules of a Large Hospital in China

Cited by 3 publications

References 15 publications

Effect of Queue Management System on Quality of Nursing Care and Patient Satisfaction

Effect of Queue Management System on Quality of Nursing Care and Patient Satisfaction

On a timetabling problem in the health care system

A fast-flexible strategy based approach to solving employee scheduling problem considering soft work time

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