A Knowledge-Based Approach to Product Concept Screening
Fragment książki (Materiały konferencyjne)
MNiSW
15
WOS
| Status: | |
| Autorzy: | Relich Marcin, Świć Antoni, Gola Arkadiusz |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 0,5 |
| Język: | angielski |
| Strony: | 341 - 348 |
| Web of Science® Times Cited: | 25 |
| Scopus® Cytowania: | 28 |
| Bazy: | Web of Science | Scopus | Web of Science Core Collection |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 12th International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2015) |
| Skrócona nazwa konferencji: | 12th DCAI 2015 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 3 czerwca 2015 do 5 czerwca 2015 |
| Miasto konferencji: | Salamanca |
| Państwo konferencji: | HISZPANIA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| This paper is concerned with developing a knowledge-based approach for selecting portfolio of product concepts for development. The critical success factors for new product development are identified on the basis of information acquired from an enterprise system, including the fields of sales and marketing, project management, and production. The model of new product screening consists of enterprise functional domains and business information systems. The model has been described in terms of a constraint satisfaction problem (CSP) that contains a set of decision variables, their domains, and the constraints. Knowledge base is specified according to CSP framework and it reflects the company’s resources and relationships identified. The illustrative example presents the use of fuzzy neural network to estimating the success of new products and constraint programming to product concept screening in the context of the different search strategies. |
