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Development of a comprehensive product lifecycle based on data of smart factories and smart products.
Thesis (MEng)--Stellenbosch University, 2023.
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| Format: | Thesis |
| Language: | en_ZA en_ZA |
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Stellenbosch : Stellenbosch University
2023
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| _version_ | 1867613824050266112 |
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| access_status_str | Open Access |
| author | Schnabel, Benedikt |
| author2 | Von Leipzig, Konrad |
| author_browse | Schnabel, Benedikt Von Leipzig, Konrad |
| author_facet | Von Leipzig, Konrad Schnabel, Benedikt |
| author_sort | Schnabel, Benedikt |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/126923 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:42:15.919Z |
| 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:10019.1/126923 Development of a comprehensive product lifecycle based on data of smart factories and smart products. Schnabel, Benedikt Von Leipzig, Konrad Hummel, Prof. Dr.-Ing. Vera Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Product life cycle Cooperating objects (Computer systems) Product design Mass customization Thesis (MEng)--Stellenbosch University, 2023. ENGLISH ABSTRACT: Trends of customisability and innovation in products influence the way companies develop products. Customers want products that meet their individual requirements through a high degree of customisation. Mass customisation was created to meet this demand. With mass customisation product diversity increases and product generations are changed more frequently. This often results in higher costs since the product engineering process is not familiar with Trends of customisability and innovation in products influence the way companies develop products. Customers want products that meet their individual requirements through a high degree of customisation. Mass customisation was created to meet this demand. With mass customisation product diversity increases and product generations are changed more frequently. This often results in higher costs since the product engineering process is not familiar with the new product types. From the companies' point of view, this situation is complicated by the trend that product development processes are being shortened, and companies need to get their products to market faster. This forces companies to develop more complex products in more complex environments and to bring them to market quicker. Also, current product lifecycles consider only one product generation and no product diversity. More- over, product engineering and the subsequent phases are often separated from each other. Due to this silo working, knowledge cannot be transferred further, mistakes are made repeatedly, and product engineering teams cannot use the feedback from smart factories and smart products. For this reason, potentials offered by the use of smart factory and smart product data for smart, customisable product families are not being exploited in current product lifecycles. To exploit the potentials, a novel prod- uct lifecycle i2PLM is created in this thesis. A mixed literature review is used to evaluate current product lifecycles and to create a reference process. Also, challenges and cause-and-effect relation- ships are identified in the overall context of the product lifecycle. The findings result in defining data streams and relevant data in a product lifecycle. The data streams and relevant data are incorporated into the reference process, creating a novel product lifecycle called i2PLM. The i2PLM consists of six components. The different components provide, among other things, an overview of the main phases of a product lifecycle and the current status of the product portfolio. One of the components represents the organisational processes and another the business processes. The core component of i2PLM is the product lifecycle database, which enables the implementation of data generation and analysis with its processes. The i2PLM is validated within the scope of an experiment. The validation takes place in an industrial research environment at the University of Reutlingen. The content of the experiment is the development of a smart product variant based on production and use data. Further research is recommended for the applicability and implementation methods of i2PLM in business practice, as well as for the automatic generation of cause-and-effect relationships. h the new product types. From the companies' point of view, this situation is complicated by the trend that product development processes are being shortened, and companies need to get their products to market faster. This forces companies to develop more complex products in more complex environments and to bring them to market quicker. Also, current product lifecycles consider only one product generation and no product diversity. More- over, product engineering and the subsequent phases are often separated from each other. Due to this silo working, knowledge cannot be transferred further, mistakes are made repeatedly, and product engineering teams cannot use the feedback from smart factories and smart products. For this reason, potentials offered by the use of smart factory and smart product data for smart, customisable product families are not being exploited in current product lifecycles. To exploit the potentials, a novel product lifecycle i2PLM is created in this thesis. A mixed literature review is used to evaluate current product lifecycles and to create a reference process. Also, challenges and cause-and-effect relation- ships are identified in the overall context of the product lifecycle. The findings result in defining data streams and relevant data in a product lifecycle. The data streams and relevant data are incorporated into the reference process, creating a novel product lifecycle called i2PLM. The i2PLM consists of six components. The different components provide, among other things, an overview of the main phases of a product lifecycle and the current status of the product portfolio. One of the components represents the organisational processes and another the business processes. The core component of i2PLM is the product lifecycle database, which enables the implementation of data generation and analysis with its processes. The i2PLM is validated within the scope of an experiment. The validation takes place in an industrial research environment at the University of Reutlingen. The content of the experiment is the development of a smart product variant based on production and use data. Further research is recommended for the applicability and implementation methods of i2PLM in business practice, as well as for the automatic generation of cause-and-effect relationships. AFRIKAANS OPSOMMING: Tendense van aanpasbaarheid en innovasie in produkte bei"nvloed die manier waarop maatskappye produkte ontwikkel. Kliente wil produkte he wat aan hul individuele vereistes voldoen deur 'n hoe mate van aanpassing. Massa-aanpassing is geskep om aan hierdie vraag te voldoen. Met massa-aan- passing neem produkdiversiteit toe en produkgenerasies word meer gereeld verander. Dit lei dikwels tot hoer koste aangesien die produk-ingenieursproses nie vertroud is met die nuwe produktipes nie. Uit die maatskappy se oogpunt word hierdie situasie bemoeilik deur die neiging dat produkontwik- kelingsprosesse verkort word, en maatskappye moet hul produkte vinniger op die mark kry. Ook, huidige produklewensiklusse neem slegs een produkgenerasie en geen produkdiversiteit in ag nie. Boonop word produkingenieurswese en die daaropvolgende fases dikwels van mekaar geskei. As gevolg van hierdie silowerk kan kennis nie verder oorgedra word nie, foute word herhaaldelik gemaak en produkingenieurspanne kan nie die terugvoer van slim fabrieke en slim produkte gebruik nie. Om hierdie rede word potensiaal wat deur die gebruik van slim fabrieks- en slimprodukdata vir slim, aanpasbare produkfamilies gebied word, nie in die huidige produklewensiklusse ontgin nie. Om die potensiaal te ontgin, word 'n nuwe produklewensiklus i2PLM in hierdie tesis geskep. 'n Gemengde literatuuroorsig word gebruik om huidige produklewensiklusse te evalueer en om 'n verwysingspro- ses te skep. Ook, uitdagings en oorsaak-en-gevolg verhoudings word gei"dentifiseer in die algehele konteks van die produk lewensiklus. Die bevindinge lei tot die definisie van datastrome en relevante data in 'n produklewensiklus. Die datastrome en relevante data word in die verwysingsproses gei"nkor- poreer, wat 'n nuwe produklewensiklus genaamd i2PLM skep. Die i2PLM bestaan uit ses komponente. Die verskillende komponente verskaf onder meer 'n oorsig van die hooffases van 'n produklewensik- lus en die huidige status van die produkportefeulje. Een van die komponente verteenwoordig die organisatoriese prosesse en 'n ander die besigheidsprosesse. Die kernkomponent van i2PLM is die produklewensiklusdatabasis, wat die implementering van datagenerering en -analise met sy prosesse moontlik maak. Die i2PLM word bekragtig binne die bestek van 'n eksperiment. Die validering vind plaas in 'n industriele navorsingsomgewing by die Universiteit van Reutlingen. Die inhoud van die eksperiment is die ontwikkeling van 'n slim produkvariant gebaseer op produksie- en gebruiksdata. Verdere navorsing word aanbeveel vir die toepaslikheid en implementeringsmetodes van i2PLM in sakepraktyk, sowel as vir die outomatiese generering van oorsaak-en-gevolg verhoudings. Masters 2023-02-04T15:42:11Z 2023-05-18T06:56:00Z 2023-02-04T15:42:11Z 2023-05-18T06:56:00Z 2023-02 Thesis http://hdl.handle.net/10019.1/126923 en_ZA en_ZA Stellenbosch University xii, 129 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Product life cycle Cooperating objects (Computer systems) Product design Mass customization Schnabel, Benedikt Development of a comprehensive product lifecycle based on data of smart factories and smart products. |
| title | Development of a comprehensive product lifecycle based on data of smart factories and smart products. |
| title_full | Development of a comprehensive product lifecycle based on data of smart factories and smart products. |
| title_fullStr | Development of a comprehensive product lifecycle based on data of smart factories and smart products. |
| title_full_unstemmed | Development of a comprehensive product lifecycle based on data of smart factories and smart products. |
| title_short | Development of a comprehensive product lifecycle based on data of smart factories and smart products. |
| title_sort | development of a comprehensive product lifecycle based on data of smart factories and smart products |
| topic | Product life cycle Cooperating objects (Computer systems) Product design Mass customization |
| url | http://hdl.handle.net/10019.1/126923 |
| work_keys_str_mv | AT schnabelbenedikt developmentofacomprehensiveproductlifecyclebasedondataofsmartfactoriesandsmartproducts |