Decision Support Tool For The Selection Of The Most Suitable Indoor Localization Technology Using The Analytic Hierarchy Process
| dc.contributor.advisor | Von Leipzig, Konrad | en_ZA |
| dc.contributor.advisor | Zincume, Philani | en_ZA |
| dc.contributor.advisor | Bitsch, Gunter | en_ZA |
| dc.contributor.author | Sirin, Havvanur | en_ZA |
| dc.contributor.other | Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. | en_ZA |
| dc.date.accessioned | 2025-04-08T12:21:01Z | |
| dc.date.available | 2025-04-08T12:21:01Z | |
| dc.date.issued | 2024-12 | |
| dc.description | Thesis (MEng)--Stellenbosch University, 2024. | en_ZA |
| dc.description.abstract | The lack of appropriate Decision Support Tools (DST) is a major challenge in the industrial environment where the selection of high-precision Indoor Localization Technologies (ILT) is crucial. Companies often face difficulties analyzing the advantages and disadvantages of different Indoor Localization Technologies due to the wide range of selection criteria involved. These criteria include accuracy, coverage area, power consumption, cost, scalability, response time, and robustness. The extensive range of criteria can lead to uncertainty and sub-optimal investment when an inappropriate decision is made. This research project aims to tackle this challenge by developing a tool that supports users in the industry to easily select the most suitable Indoor Localization Technology based on their specific requirements. The main theoretical implication of this project is the extension of theory concerning the combination of a multi-criteria decision-making method and the Technology Selection (TS). By integrating the multi-criteria decision-making method, the Analytic Hierarchy Process (AHP), the DST systematically evaluates diverse criteria, ensuring a comprehensive analysis of ILT options. This theoretical advancement addresses a critical gap in existing research by providing a structured approach to TS that balances multiple factors. The main practical implication for managers is the proposition of a practical artifact that companies can use to support the decision-making process. The developed tool is designed to be a systematic and well-founded solution, capable of handling the complex decision environment faced by industries. It also allows for the consideration of the subjective evaluations of the decision-makers, ensuring that personal insights and organizational priorities are incorporated into the decision-making process. The tool represents an industryspecific solution designed to meet the requirements of ILT selection, making it highly relevant and applicable in real-world scenarios. Additionally, the tool features a clear navigation system that guides users through the selection process. By providing transparent insights into the AHP decision method, the tool enables companies to make informed decisions with confidence. The project's methodology includes a Systematic Literature Review on Technology Selection and Indoor Localization Technologies, ensuring that the tool is grounded in the latest research and best practices. Overall, this research project not only advances theoretical knowledge in the field of decisionmaking and TS but also provides a valuable, practical tool for industries. The Decision Support Tool developed through this project is poised to become a critical asset for companies, facilitating optimal investment in ILT and enhancing the overall efficiency and effectiveness of industrial operations. | en_ZA |
| dc.description.version | Masters | en_ZA |
| dc.format.extent | 114 pages | en_ZA |
| dc.identifier.uri | https://scholar.sun.ac.za/handle/10019.1/131909 | |
| dc.publisher | Stellenbosch : Stellenbosch University | en_ZA |
| dc.rights.holder | Stellenbosch University | en_ZA |
| dc.title | Decision Support Tool For The Selection Of The Most Suitable Indoor Localization Technology Using The Analytic Hierarchy Process | en_ZA |
| dc.type | Thesis | en_ZA |