Towards mass customisation: automatic processing of orders for residential ship’s containers - A case study example

• Autorzy: Dudek Adam , Patalas-Maliszewska Justyna , Frączak Jacek

Identyfikatory

DOI

10.24425/bpasts.2023.145562

• Języki publikacji: EN

Abstrakty

EN

Along with changes in customer expectations, the process of ordering a house, especially one built with the most modern technology from prefabricated HQ 40-foot shipping containers, should take place in an atmosphere of free-flowing, customer-friendly conversation. Therefore, it is important that the company producing such a solution has a tool supporting such offers and orders when producing personalized solutions. This article provides an original approach to the automatic processing of orders based on an example of orders for residential shipping containers, natural language processing and so-called premises developed. Our solution overcomes the usage of records of the conversations between the customer and the retailer, in order to precisely predict the variant required for the house ordered, also when providing optimal house recommendations and when supporting manufacturers throughout product design and production. The newly proposed approach examines such recorded conversations in the sale of residential shipping containers and the rationale developed, and then offers the automatic placement of an order. Moreover, the practical significance of the solution, thus proposed, was emphasized thanks to verification by a real residential ship container manufacturing company in Poland.

Słowa kluczowe

EN

mass customization; natural language processing; automatic processing of orders; residential shipping container

PL

masowa personalizacja; przetwarzanie języka naturalnego; kontener mieszkalny; obsługa zamówień automatyczna

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 3
• Strony: art. no. e145562
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Dudek Adam

• University of Applied Sciences in Nysa, Armii Krajowej 7, 48-300 Nysa, Poland

• https://orcid.org/0000-0002-3846-5300

autor

Patalas-Maliszewska Justyna

• University of Zielona Góra, ul. Licealna 9,65-417 Zielona Góra, Poland

• https://orcid.org/0000-0003-2439-2865

autor

Frączak Jacek

• Sanpol Sp. z o.o, Sulechowska 27a, 65-119, Zielona Góra, Poland

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).