PROPOSAL FOR PRODUCT DEVELOPMENT SUPPORT SYSTEM FOR PICKLES BASED ON KANSEI ENGINEERING

Autor:	Teruko Ohba, Masao Kasuga, Eiichi Endo, Mie Sato, Masayuki Kumagai
Rok vydání:	2008
Předmět:	Engineering management Artificial neural network business.industry Computer science Food products New product development Support system Artificial intelligence Kansei engineering business Intuition
Zdroj:	KANSEI Engineering International. 7:129-135
ISSN:	1884-5231 1345-1928
DOI:	10.5057/kei.7.129
Popis:	This report describes the construction and proposal of a support system for developing food products, particularly pickles that uses a database to provide quantitative and quick assessments of a new product. The system is intended to replace the conventional development approach, which relies on the developer's experience and intuition. Data about high-selling and popular pickle products are input into this system, which then provides predictions of the sales. It can contribute to the creation of products that will satisfy consumers' changing tastes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::45582e0fd3c0fdd6627ea718bdd8ead8 https://doi.org/10.5057/kei.7.129 Zobrazit plný text záznamu