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Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process
Thesis (MEng)--Stellenbosch University, 2024.
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867614037431287808 |
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| access_status_str | Open Access |
| author | Sirin, Havvanur |
| author2 | Von Leipzig, Konrad |
| author_browse | Sirin, Havvanur Von Leipzig, Konrad |
| author_facet | Von Leipzig, Konrad Sirin, Havvanur |
| author_sort | Sirin, Havvanur |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MEng)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131909 |
| institution | Stellenbosch University (South Africa) |
| last_indexed | 2026-06-10T12:45:40.057Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131909 Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process Sirin, Havvanur Von Leipzig, Konrad Zincume, Philani Bitsch, Gunter Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Decision support systems Indoor positioning systems (Wireless localization) Technology assessment Multiple criteria decision making UCTD Thesis (MEng)--Stellenbosch University, 2024. ENGLISH 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. AFRIKAANSE OPSOMMING: Die gebrek aan gepaste Besluitondersteuningsgereedskap is 'n groot uitdaging in die industriële omgewing waar die keuse van hoë-presisie binnenshuise lokaliseringstegnologieë deurslaggewend is. Maatskappye ondervind dikwels probleme om die voordele en nadele van verskillende binnenshuise lokaliseringstegnologieë te ontleed as gevolg van die wye verskeidenheid seleksiekriteria wat betrokke is. Hierdie kriteria sluit in akkuraatheid, dekkingsarea, kragverbruik, koste, skaalbaarheid, reaksietyd en robuustheid, wat kan lei tot onsekerheid en sub-optimale belegging in die geval van 'n onvanpaste besluit. Hierdie navorsingsprojek het ten doel om hierdie uitdaging aan te pak deur 'n instrument te ontwikkel wat gebruikers van die bedryf ondersteun om maklik die mees geskikte binnenshuise lokaliseringstegnologie te kies gebaseer op hul spesifieke vereistes. Die belangrikste teoretiese implikasie van hierdie projek is die uitbreiding van teorie rakende die kombinasie van 'n multi-kriteria besluitneming metode en die Tegnologie Seleksie. Deur die multi-kriteria besluitnemingsmetode, die Analitiese Hiërargie Proses, te integreer, evalueer die instrument sistematies diverse kriteria, wat 'n omvattende ontleding van binnenshuise lokaliseringstegnologieë-opsies verseker. Hierdie teoretiese vooruitgang spreek 'n kritieke leemte in bestaande navorsing aan deur 'n gestruktureerde benadering tot Tegnologie Seleksie te verskaf wat verskeie faktore balanseer. Die hoofbestuursimplikasie is die voorstel van 'n praktiese artefak wat maatskappye kan gebruik om die besluitnemingsproses te ondersteun. Die ontwikkelde instrument is ontwerp om 'n sistematiese en goed gefundeerde oplossing te wees, wat in staat is om die komplekse besluitomgewing waarmee nywerhede te kampe het, te hanteer. Dit maak voorsiening vir die oorweging van die subjektiewe evaluasies van die besluitnemers, om te verseker dat persoonlike insigte en organisatoriese prioriteite in die besluitnemingsproses geïnkorporeer word. Die instrument verteenwoordig 'n industrie-spesifieke oplossing wat ontwerp is om aan die vereistes van binnenshuise lokaliseringstegnologieë-seleksie te voldoen, wat dit hoogs relevant en toepaslik maak in werklike scenario's. Daarbenewens het die instrument 'n duidelike navigasiestelsel wat gebruikers deur die keuringsproses lei. Deur deursigtige insigte in die Analitiese Hiërargie Proses -besluitmetode te verskaf, stel die instrument maatskappye in staat om ingeligte besluite met selfvertroue te neem. Die projek se metodologie sluit 'n sistematiese literatuuroorsig oor tegnologieseleksieprosesse en binnenshuise lokaliseringstegnologie in, wat verseker dat die instrument gegrond is op die nuutste navorsing en beste praktyke. Oor die algemeen bevorder hierdie navorsingsprojek nie net teoretiese kennis op die gebied van besluitneming en Tegnologie Seleksie nie, maar bied ook 'n waardevolle, praktiese hulpmiddel vir nywerhede. Die Besluitondersteuningsinstrument wat deur hierdie projek ontwikkel is, is gereed om 'n kritieke bate vir maatskappye te word, wat optimale belegging in binnenshuise lokaliseringstegnologieë fasiliteer en die algehele doeltreffendheid en doeltreffendheid van industriële bedrywighede verbeter Masters 2025-04-08T12:21:01Z 2025-04-08T12:21:01Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131909 Stellenbosch University ix, 101 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Decision support systems Indoor positioning systems (Wireless localization) Technology assessment Multiple criteria decision making UCTD Sirin, Havvanur Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| title | Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| title_full | Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| title_fullStr | Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| title_full_unstemmed | Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| title_short | Decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| title_sort | decision support tool for the selection of the most suitable indoor localization technology using the analytic hierarchy process |
| topic | Decision support systems Indoor positioning systems (Wireless localization) Technology assessment Multiple criteria decision making UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131909 |
| work_keys_str_mv | AT sirinhavvanur decisionsupporttoolfortheselectionofthemostsuitableindoorlocalizationtechnologyusingtheanalytichierarchyprocess |