A spreadsheet-based decision support system for examination timetabling

Güler, Mehmet Güray; Geçici, Ebru

doi:10.3906/elk-1909-14

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…Third, they asked whether the model can handle personal requests or not. Although any request can be employed in the model using constraints, we decided not to incorporate the requests in the model since the authors’ personal experiences ( Güler et al, 2013 );( Güler and Geçici, 2020 ) ;( Geçici and Güler, 2020 )) show that once personal requests are incorporated it becomes very hard to manage the process in terms of social affairs. Last, they requested some operational issues.…”

Section: Methodsmentioning

confidence: 99%

A decision support system for scheduling the shifts of physicians during COVID-19 pandemic

Güler

Geçici

2020

Computers & Industrial Engineering

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Section: Methodsmentioning

confidence: 99%

A decision support system for scheduling the shifts of physicians during COVID-19 pandemic

Güler

Geçici

2020

Computers & Industrial Engineering

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“…In Guler and Gecici's (2020) studies for Yildiz Technical University Industrial Engineering Department exam program, a Mixed Integer Programming model was proposed. The developed program has been turned into a DSS that does not require any technical knowledge and can be easily used by an average spreadsheet user [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a Decision Support System for Exam Scheduling Problem Using Genetic Algorithm

Doğan

Yurtsal

2021

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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Exam scheduling is a very complex process done every semester in every educational institution and is usually done manually. The limited resources in these institutions make the preparation of the exam program a demanding and inconvenient task. In addition, when exam scheduling is examined in detail, it is seen that it is a comprehensive task that requires fulfillment of many situations other than the appointment of the appropriate course for the appropriate time period. In this study, a solution approach that allows the assignment of courses to time periods is proposed for the educational institution whose data we use. Thus, it is aimed to obtain a program that can quickly solve the exam scheduling problem, which is a comprehensive task for the educational institution. A Genetic Algorithm, an artificial intelligence optimization algorithm, was used as a solution method, and the performance of the method on the problem was tested. In addition, taking into account students, lecturers, and administrative staff's performance within the study's scope and purpose, it aims to obtain exam programs that will satisfy everyone. However, most studies focused on the solution to the problem, and the idea of making this program suitable for the use of non-technical personnel was neglected. The program we developed in this study has been turned into a decision support system. Thus, the program has become a structure suitable for the use of non-technical personnel. As a result of the study, considering the institution's entire structure, a program that the institution can use in every exam period was obtained, and the exam program was automated, eliminating the time and effort spent by the institution staff.

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“…Therefore, addressing these conflicts will further enhance the efficiency of the application and any other applications developed by other researchers. On the other hand, Güler and GeÇici (2020) prioritized implementing an interactive computer-based scheduling method called Decision Support System, which provides more flexibility and control to the output. They also stated that developing a web-based DSS is a good idea to be used on other computers without requiring installation processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Examination Scheduling System for Mapua University

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Examination timetabling/scheduling is a complex task in many academic institutions that requires intensive analysis and human scheduling expertise and experience to generate an optimal examination schedule. Without the assistance of modern computers, the accomplishment and process of this task can be tedious, time-consuming, and error-prone. The School of Information Technology (SOIT) department at Mapua University faced a technological problem with their examination scheduling process due to the dependence on manual methods and automated scheduling software with a fixed output for only the 2015 student batch. This study proposes a web-based examination scheduling system as an alternative to the school department's existing examination scheduling method and technology. It will incorporate both the concept of interactive and automated computer-based scheduling methods and is designed to have the capability to adapt and generate optimal schedules based on the dynamic scheduling variables and specified scheduling constraints. Moreover, the proposed system has been successfully demonstrated to and tested, and evaluated by the major stakeholder of the examination scheduling process of the mentioned school department, the Technical Assistant to the Dean and Proctors. Consequently, accepting and recognizing it as an alternative to their existing examination scheduling methods.

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A spreadsheet-based decision support system for examination timetabling

Cited by 9 publications

References 19 publications

A decision support system for scheduling the shifts of physicians during COVID-19 pandemic

A decision support system for scheduling the shifts of physicians during COVID-19 pandemic

Developing a Decision Support System for Exam Scheduling Problem Using Genetic Algorithm

Examination Scheduling System for Mapua University

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