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Holistic decision support framework for discrete and continuous event tracking & tracing technology selection
Thesis (MEM)--Stellenbosch University, 2023.
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : Stellenbosch University
2023
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| _version_ | 1867613758706155520 |
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| access_status_str | Open Access |
| author | Hoffmann, Moritz |
| author2 | Louw, Louis |
| author_browse | Hoffmann, Moritz Louw, Louis |
| author_facet | Louw, Louis Hoffmann, Moritz |
| author_sort | Hoffmann, Moritz |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEM)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/128732 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:41:14.564Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/128732 Holistic decision support framework for discrete and continuous event tracking & tracing technology selection Hoffmann, Moritz Louw, Louis Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Engineering Management (MEM). Tracking (Engineering) Decision support systems Supply chain management Thesis (MEM)--Stellenbosch University, 2023. ENGLISH ABSTRACT: The current era is shaped by disruptive events such as COVID-19 and the Ukraine war, also, customers tend to be increasingly involved in value-creation processes, leading to complex supply chain structures that need to be controlled on the operational level and decentralised managed on the strategic level. For that reason, organisations must enhance their object-related visibility by implementing tracking & tracing technologies to identify supply chain deviations in real-time. Here, decision-maker face the problem that an inaccurate technology selection increases supply chain risks and jeopardise the operational performance. However, the current academic literature lacks research into systems that enhance decision support in the context of technology-oriented traceability systems. Thus, this thesis proposes a novel approach to select and combine tracking & tracing technologies from a holistic perspective. Therefore, a holistic decision support framework is developed to select discrete and continuous event tracking & tracing technologies. First, this thesis defines the movement events as an enhancement of the EPCIS core events by GS1 to determine event-based visibility of a traceable object. Based on that, relevant concepts that are concerned with tracking & tracing technology selection are defined, and implications are derived. For accurate tracking & tracing technology selection, generic decisions distinguish between the most relevant technologies within their respective functionality classes. Afterwards, a generic process is derived from combining these decisions based on the objectives of the traceability system to enhance decision support for the specific application. Furthermore, the complementarity of the technologies is discussed from a holistic perspective to form traceability systems at the respective event sequences. Hence, the framework is applicable throughout the entire supply chain. For validation purposes, the holistic decision support framework is applied in an industrial case study of a company that manufactures frozen fruits. Here, the feasibility and the derived decision support is assessed by an industrial decision-maker, resulting in an accurate technology selection. In conclusion, this thesis defines a systematic process to design and apply traceability systems at discrete and continuous event sequences throughout the supply chain and proposes a holistic decision support framework. AFRIKAANSE OPSOMMING: Die huidige era word gevorm deur ontwrigtende gebeure soos COVID-19 en die Oekraïne-oorlog, asook kliënte is ook geneig om toenemend betrokke te wees by waardeskeppingsprosesse, wat lei tot komplekse voorsieningskettingstrukture wat op bedryfsvlak beheer en gedesentraliseerd bestuur moet word op strategiese vlak. Asgevolg hiervan moet organisasies hul voorwerpverwante sigbaarheid verbeter deur opsporingstegnologieë te implementeer en so doende instaat wees om onmiddelik voorsieningskettingafwykings te identifiseer. Besluitnemers ervaar dus die probleem dat die onakkurate tegnologieseleksie verhoog voorsieningskettingrisiko's en belemmer die operasionele prestasie. Die akademiese literatuur wat tans beskikbaar is, het egter `n tekort aan navorsing oor stelsels wat die besluitondersteun, in die konteks van tegnologie-georiënteerde opspoorbaarheidstelsels kan verbeter. Hierdie tesis stel dus 'n nuwe benadering voor om die selekteer en kombineering van opsporingstegnologieë vanuit 'n holistiese perspektief aan te pak. 'n Holistiese besluitondersteunsraamwerk is ontwikkel vir die keuse van diskrete en deurlopende gebeurtenisopsporing- en -opsporingstegnologieë. Die tesis definieer eerste die bewegingsgebeure as 'n verbetering van die EPCIS -kerngebeure deur GS1 om gebeurtenisgebaseerde sigbaarheid van 'n opspoorbare voorwerp te bepaal. Relevante konsepte wat verband hou met opsporingstegnologieë seleksie word geïdentifiseer asook uitdagings van hierdie seleksie. Vir akkurate opsporingstegnologieë seleksies, is onderskei generiese besluite geneem tussen die mees relevante tegnologieë binne hul onderskeie funksionaliteitsklasse. Daarna word 'n generiese proses afgelei om hierdie besluite te kombineer, gebaseer op die doelstellings van die opspoorbaarheidstelsels om besluitondersteuning vir die spesifieke toepassing te verbeter. Verder word die komplementeerbaarheid van die tegnologieë vanuit 'n holistiese perspektief bespreek om opspoorbaarheidstelsels by die onderskeie gebeurtenisreekse te vorm. Die raamwerk is van toepassing op die hele voorsieningsketting. Vir valideringsdoeleindes word die holistiese besluitondersteunraamwerk toegepas tydens `n gevallestudie van 'n maatskappy wat gevriesde vrugte vervaardig. Die haalbaarheid en besluitondersteun van die raamwerk word deur 'n industriële besluitnemer beoordeel, wat 'n akkurate tegnologieseleksie tot gevolg het. Ten slotte definieer hierdie tesis 'n sistematiese proses om opspoorbaarheidstelsels te ontwerp en toe te pas by diskrete en https://scholar.sun.ac.za vi deurlopende gebeurtenisreekse regdeur die voorsieningsketting en stel 'n holistiese besluitondersteunraamwerk voor. Masters 2023-02-13T08:45:09Z 2023-11-27T09:06:40Z 2023-02-13T08:45:09Z 2023-11-27T09:06:40Z 2023-03 Thesis https://scholar.sun.ac.za/handle/10019.1/128732 en Stellenbosch University xvii, 186 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Tracking (Engineering) Decision support systems Supply chain management Hoffmann, Moritz Holistic decision support framework for discrete and continuous event tracking & tracing technology selection |
| title | Holistic decision support framework for discrete and continuous event tracking & tracing technology selection |
| title_full | Holistic decision support framework for discrete and continuous event tracking & tracing technology selection |
| title_fullStr | Holistic decision support framework for discrete and continuous event tracking & tracing technology selection |
| title_full_unstemmed | Holistic decision support framework for discrete and continuous event tracking & tracing technology selection |
| title_short | Holistic decision support framework for discrete and continuous event tracking & tracing technology selection |
| title_sort | holistic decision support framework for discrete and continuous event tracking tracing technology selection |
| topic | Tracking (Engineering) Decision support systems Supply chain management |
| url | https://scholar.sun.ac.za/handle/10019.1/128732 |
| work_keys_str_mv | AT hoffmannmoritz holisticdecisionsupportframeworkfordiscreteandcontinuouseventtrackingtracingtechnologyselection |