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Well-founded decisions based on product-specific Knowledge Balances prior to the product development process

100%

Hinsen S. , Gust P. , Ruschitzka M.

Zeszyty Naukowe Instytutu Pojazdów / Politechnika Warszawska

2012

tom z. 5/91

43--48

Optimal products and services as well as optimal product development processes are in demand to deal with the continuously growing product complexity and the increasingly competitive markets. Regardless of the development discipline or company location, expert knowledge has to be pooled and condensed to generate valuation methods and key figures for new product-specific Knowledge Balances. This approach will take account of methodologies according to different research fields. Using and combining technological and economical key figures as well as specific information about the company and its products, this new approach of a product-specific Knowledge Balance is able to dynamically suggest an optimal choice of product development groups and processes. Considering all data, it will be possible to generate a solid basis for decision making prior to the product development process and derive detailed product specifications and project plans as the result of the Knowledge Balance.

Computed tomography as a quality control technique in the 3D modelling of injection - moulded car system components

84%

Barciewicz M. , Ryniewicz A.

Technical Transactions

2018

tom Vol. 115, iss. 9

189--199

This paper presents the sophisticated capabilities of industrial computed tomography (CT) in the development and 3D modelling process of new car system components. Usually, the process of the development of new car components takes three to five years. At each development process stage, quality control is crucial to catch all internal and external defects. This is particularly important with regard to components made using an injection-moulding process. Computed tomography as a non-destructive testing method is an excellent tool for controlling and improving both the manufacturing process and the 3D modelling of tested components. All analyses performed with use of CT are essential for meeting customer requirements. This paper shows how industrial computed tomography can control the quality of the car components development process.

Praca przedstawia zaawansowane możliwości przemysłowej tomografii komputerowej (TK) w rozwoju i procesie modelowania 3D nowych elementów samochodowych. Zazwyczaj proces powstawania części nowego samochodu trwa od trzech do pięciu lat. Na każdym etapie rozwoju produktu kontrola jakości jest kluczowa w wychwyceniu zarówno wewnętrznych jak i zewnętrznych wad. Jest to niezwykle ważne zwłaszcza dla elementów wywarzanych w procesie wtrysku. Tomografia komputerowa jako nieniszcząca metoda badawcza jest wspaniałym narzędziem do kontroli oraz ulepszania procesu wytwarzania i jednocześnie ulepszania modelu 3D badanego elementu. Wszystkie analizy wykonane przy pomocy TK są niezbędne, aby sprostać wymaganiom klienta. Artykuł pokazuje zastosowanie przemysłowej tomografii komputerowej jako narzędzia do kontroli jakości w procesie rozwoju elementów samochodowych.

Supervised multilabel classification techniques for categorising customer requirements during the conceptual phase in the new product development

67%

Sutrilastyo , Diar Astant R.

Engineering Management in Production and Services

2024

tom Vol. 16, no. 1

31--47

The research aims to provide the decision-maker with a framework for determining customer requirements during product development. The proposed framework is based on sentiment analysis and supervised multilabel classification techniques. Therefore, the proposed technique can categorise customer reviews based on the “product design criteria” label and the “sentiment of the review” label. To achieve the research goal, the research presented in this article uses the existing product development framework presented in the literature. The modification is conducted especially in the conceptual stage of product development, in which the voice of the customer or a customer review is obtained from the scraping, and a multilabel classification technique is performed to categorise customer reviews. The proposed framework is tested by using the set data on women’s clothing reviews from an e-commerce site downloaded from www.kaggle.com based on data by Agarap (2018). The result shows that the proposed framework can categorise customer reviews. The research presented in this paper has contributed by proposing a technique based on sentiment analysis and multilabel classification that can be used to categorise customers during product development. The research presented in this paper answers one of the concerns in the categorisation of needs raised by Shabestari et al. (2019), namely, the unclear rules or main attributes of a requirement that make these needs fall into certain categories. Categorising customer requirements allows decisionmakers to determine the direction of product development to meet customer needs.