Machine learning approach to packaging compatibility testing in the new product development process

Norbert Piotrowski

doi:10.1007/s10845-023-02090-8

Machine learning approach to packaging compatibility testing in the new product development process

Abstrakt

The paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing is mandatory inter alia for all aerosol packaging as any mechanical alterations of the packaging can cause the pressurized product to unseal and stop working properly. Moreover, aerosol products are classified as dangerous goods and any leaking of the product or propellent can be a serious hazard to the storage place, environment, and final consumer. Thus, basic compatibility observations of metal aerosol packaging (i.e. general corrosion, pitting corrosion, coating blistering or detinning) and different compatibility factors (e.g. formula ingredients, water contamination, pH, package material and coatings) were discussed. Artificial intelligence methods applied in the design process can reduce the lengthy testing time as well as developing costs and help benefit from the knowledge and experience of technologists stored in historical data in databases.

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6

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5

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Autor (1)

Norbert Piotrowski dr inż.

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Wersja publikacji: Accepted albo Published Version
DOI:: Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/s10845-023-02090-8
Licencja: otwiera się w nowej karcie

pełna treść artykułu zobacz w serwisie zewnętrznym otwiera się w nowej karcie

Słowa kluczowe

MACHINE LEARNING, COMPATIBILITY TESTING, NEW PRODUCT DEVELOPMENT, SMART PRODUCTS

Informacje szczegółowe

Kategoria:

Publikacja w czasopiśmie

Typ:

artykuły w czasopismach

Opublikowano w:

JOURNAL OF INTELLIGENT MANUFACTURING nr 35, strony 963 - 975,
ISSN: 0956-5515

Język:

angielski

Rok wydania:

2024

Opis bibliograficzny:

Piotrowski N.: Machine learning approach to packaging compatibility testing in the new product development process// JOURNAL OF INTELLIGENT MANUFACTURING -Vol. 35, (2024), s.963-975

DOI: