Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions
Achieving the Saudi Kingdom’s vision 2030 in the higher education sector requires higher education institutions to make a significant simultaneous change in their current practices. This encompasses the transitioning of government-funded educational institutions to be financially independent. Theref...
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| Format: | Article |
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MDPI AG
2022-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/3/1702 |
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| author | Anas A. Makki Hatem F. Sindi Hani Brdesee Wafaa Alsaggaf Abdulmonem Al-Hayani Abdulrahman O. Al-Youbi |
| author_facet | Anas A. Makki Hatem F. Sindi Hani Brdesee Wafaa Alsaggaf Abdulmonem Al-Hayani Abdulrahman O. Al-Youbi |
| author_sort | Anas A. Makki |
| collection | DOAJ |
| description | Achieving the Saudi Kingdom’s vision 2030 in the higher education sector requires higher education institutions to make a significant simultaneous change in their current practices. This encompasses the transitioning of government-funded educational institutions to be financially independent. Therefore, a prompt, agile transition is required while maintaining a positive socioeconomic impact, entrepreneurship and innovation, and high-quality education. This necessitates the transition to lean processes and the review of current practices. One of the most vital processes in educational institutions is student admission/enrollment capacity planning. This study puts forward a capacity planning decision support system (DSS)-based framework for university student enrollment. The framework was applied to the case of KAU, where current practice and challenges are presented, and from which data were collected. A top-down/bottom-up approach was followed and applied using the goal programming technique and a developed mathematical model, respectively. Results show that the proposed framework effectively affects student admission/enrollment capacity planning on strategic and operational levels. Moreover, it can be used in other planning aspects of higher education in universities, such as human resources planning, teaching load planning, faculty-to-student ratios, accreditation, quality requirements, lab capacity planning, equipment/teaching aids procurement, and financial planning, to mention a few. The implications of this study include assisting decision-makers in higher education institutions in matching their admission/enrollment capacity of student numbers between the macro-strategic and the micro-operational level. |
| first_indexed | 2024-03-10T00:09:59Z |
| format | Article |
| id | doaj.art-4798a329aa394782b0b109f5769b374d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:09:59Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4798a329aa394782b0b109f5769b374d2023-11-23T16:02:02ZengMDPI AGApplied Sciences2076-34172022-02-01123170210.3390/app12031702Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education InstitutionsAnas A. Makki0Hatem F. Sindi1Hani Brdesee2Wafaa Alsaggaf3Abdulmonem Al-Hayani4Abdulrahman O. Al-Youbi5Department of Industrial Engineering, Faculty of Engineering—Rabigh Branch, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Computer and Information Technology, Faculty of Applied Studies, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Anatomy, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Chemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaAchieving the Saudi Kingdom’s vision 2030 in the higher education sector requires higher education institutions to make a significant simultaneous change in their current practices. This encompasses the transitioning of government-funded educational institutions to be financially independent. Therefore, a prompt, agile transition is required while maintaining a positive socioeconomic impact, entrepreneurship and innovation, and high-quality education. This necessitates the transition to lean processes and the review of current practices. One of the most vital processes in educational institutions is student admission/enrollment capacity planning. This study puts forward a capacity planning decision support system (DSS)-based framework for university student enrollment. The framework was applied to the case of KAU, where current practice and challenges are presented, and from which data were collected. A top-down/bottom-up approach was followed and applied using the goal programming technique and a developed mathematical model, respectively. Results show that the proposed framework effectively affects student admission/enrollment capacity planning on strategic and operational levels. Moreover, it can be used in other planning aspects of higher education in universities, such as human resources planning, teaching load planning, faculty-to-student ratios, accreditation, quality requirements, lab capacity planning, equipment/teaching aids procurement, and financial planning, to mention a few. The implications of this study include assisting decision-makers in higher education institutions in matching their admission/enrollment capacity of student numbers between the macro-strategic and the micro-operational level.https://www.mdpi.com/2076-3417/12/3/1702admissioncapacity planningDSSenrollmenthigher educationKAU |
| spellingShingle | Anas A. Makki Hatem F. Sindi Hani Brdesee Wafaa Alsaggaf Abdulmonem Al-Hayani Abdulrahman O. Al-Youbi Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions Applied Sciences admission capacity planning DSS enrollment higher education KAU |
| title | Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions |
| title_full | Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions |
| title_fullStr | Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions |
| title_full_unstemmed | Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions |
| title_short | Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions |
| title_sort | goal programming and mathematical modelling for developing a capacity planning decision support system based framework in higher education institutions |
| topic | admission capacity planning DSS enrollment higher education KAU |
| url | https://www.mdpi.com/2076-3417/12/3/1702 |
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