A Two Level Hybrid Bees Algorithm for Operating Room Scheduling Problem

Almaneea, Lamya Ibrahim; Hosny, Manar

doi:10.1007/978-3-030-01174-1_21

Cited by 7 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A surgery group is a cluster of patients grouped based on their similar characteristics [54]. We identified that the most common type of surgery group is the medical specialities associated with the surgeries used in 19 papers [14,25,[49][50][51][52][53][55][56][57][58][59][60][61][62][63][64]. In contrast, other researchers assigned surgeons, which enabled them to consider surgeons' availability and preferences [50,[65][66][67][68][69][70][71].…”

Section: Types Of Surgery Groupmentioning

confidence: 99%

“…Model can be generalized into two consecutive stages. [55] Hybridized Bees Algorithm (BA) and Simulated Annealing (SA).…”

Section: Types Of Surgery Groupmentioning

confidence: 99%

“…Next, the waiting measure, utilized in four papers, is defined as the measure of time and cost of waiting for surgeries to be done. Waiting time is often measured in days, while the waiting cost is measured by its impact on the patients' satisfaction and health condition [24,51,55]. Waiting time is influenced by the patient's age, comorbidity, ethnicity, physical status, financial status, health insurance, hospital type and the number of medical personnel [74][75][76].…”

Section: B Objective Functionmentioning

confidence: 99%

See 2 more Smart Citations

Research Trends in the Optimization of the Master Surgery Scheduling Problem

et al. 2022

View full text Add to dashboard Cite

The Master Surgery Scheduling Problem (MSSP) allocates operating theatre time to surgery groups such as medical specialities or surgeons, which is essential for daily operational planners. Many researchers have highlighted issues in the optimization of surgical scheduling problems. However, most recent reviews limited the issues at the operational level and excluded the problem characteristics such as surgery group type and schedule cyclicity. This study aims to review the state-of-the-art of MSSP and identify new trends in optimization strategies (problem characteristics and objective function), uncertainty scheduling factors (types and approaches), and solution and evaluation methods. These aspects are the key components in developing an effective MSSP optimization model. This paper reviews articles published between 2000 and 2021 that addressed MSSP, concentrating on papers between 2016 and 2021. We underlined the popularity of medical specialities as the surgery group, one-week horizon length, a cyclic schedule, multi-objective optimization and evaluation by benchmarking. The analysis shows that surgery duration is the most prominent uncertainty type, while strategies for handling this are stochastic programming, robust optimization, and fuzzy programming. We highlighted the role of heuristic approaches in addressing the MSSP's computational complexity. This review's trends, challenges, and potential solutions are essential for future researchers in developing optimization models for MSSP.

show abstract

Section: Types Of Surgery Groupmentioning

confidence: 99%

“…Model can be generalized into two consecutive stages. [55] Hybridized Bees Algorithm (BA) and Simulated Annealing (SA).…”

Section: Types Of Surgery Groupmentioning

confidence: 99%

Section: B Objective Functionmentioning

confidence: 99%

See 1 more Smart Citation

Research Trends in the Optimization of the Master Surgery Scheduling Problem

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Only 11 of these were available and accessible online and so could be reviewed in this paper (Abuelma'atti, 2006;Al-Abdulkareem, 2012;Al-Dossary, 2008;Al-Ghnaim, 2010;Alabdulgader, 1992;Aljohani, 2014;Fayed & Gasem, 2012;Hakeem, 2007;Khan & Osman, 2011;Malah, 1994;Mobarak, Alharthi, & Kees, 2000). The other five studies were only available as online abstracts and were thus excluded (Abdullaal, 2010;Alabdullah, 1995;Almaneea, 2003;Felemban, 1986;Ghaban, 1999). A further two Saudi student retention studies were excluded from the review, as they focused on student retention in online courses, which is outside the scope of this paper (Dahan, 2008;Ibrahim, Rwegasira, & Taher, 2007).…”

Section: The Scope Of the Papermentioning

confidence: 99%

Analyzing the Findings of the Saudi Research on Student Attrition in Higher Education

Aljohani¹

2016

IES

View full text Add to dashboard Cite

This paper presents a comprehensive review of the available literature on student attrition in Saudi higher education context. Despite the reported low student retention rates in Saudi tertiary institutions, student attrition remains an under-researched phenomenon. Thus, this paper aims to trace and collect all the available studies that addressed the issue of low student retention in the Saudi in higher education and to present and analyse their findings. This will help in providing evidence and empirical data that give a clearer view of the problem and pave the way for the future researchers as well as allowing for suggestions towards more effective plans and solutions. The student attrition factors reported in the reviewed Saudi studies were classified under personal, academic, social and institutional categories. However, the students' low academic abilities and institutional factors were the most common across all of the studies. These factors relate to students' experiences with the administrative system of their academic institution, including the admission, registration and disciplinary rules and policies and the availability and quality of student services and facilities.

show abstract

“…In Saudi Arabia, 11 available studies of student retention were found (Abuelma'atti, 2006;Al-Abdulkareem, 2012;Al-Dossary, 2008;Al-Ghnaim, 2010;Alabdulgader, 1992;Aljohani, 2014;Fayed & Gasem, 2012;Hakeem, 2007;Khan & Osman, 2011;Malah, 1994;Mobarak, Alharthi & Kees, 2000). Another five studies were only available as online abstracts and were thus excluded (Abdullaal, 2010;Alabdullah, 1995;Almaneea, 2003;Felemban, 1986;Ghaban, 1999). It can be inferred from the conclusions of these studies that student attrition factors might be slightly dependent on the type and level of the institution.…”

Section: Arabic Higher Education Contextsmentioning

confidence: 99%

A Review of the Contemporary International Literature on Student Retention in Higher Education

2016

IJELS

View full text Add to dashboard Cite

One of the major issues that concerns tertiary institutions around the world is the student retention rate. In general, higher rates of completion give more positive image about the academic, administrative and financial statues of these institutions. However, improving the student completion and retention rates can be a challenging task. One way toward this goal is utilising strategies and techniques that are informed by the findings of theoretical models and empirical studies. Therefore, this paper reviews some of the contemporary studies in the student retention literature from different higher educational contexts around the world followed by a list of the variables that are commonly linked to the student retention phenomenon in higher education and a discussion of the factors that are most frequently associated with student attrition as reported by these studies. A summary of the factors associated with the student attrition phenomenon suggested that, the central factors were the quality of students' institutional experiences and their level of integration into the academic and social systems of their academic institutions. These factors relate to students' experiences with the administrative system of their academic institution, including the admission, registration and disciplinary rules and policies and the availability and quality of student services and facilities.

show abstract

A Two Level Hybrid Bees Algorithm for Operating Room Scheduling Problem

Cited by 7 publications

References 24 publications

Research Trends in the Optimization of the Master Surgery Scheduling Problem

Research Trends in the Optimization of the Master Surgery Scheduling Problem

Analyzing the Findings of the Saudi Research on Student Attrition in Higher Education

A Review of the Contemporary International Literature on Student Retention in Higher Education

Contact Info

Product

Resources

About