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Decision support for product develop...
~
Relich, Marcin.
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Decision support for product development = using computational intelligence for information acquisition in enterprise databases /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Decision support for product development/ by Marcin Relich.
Reminder of title:
using computational intelligence for information acquisition in enterprise databases /
Author:
Relich, Marcin.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xii, 114 p. :ill., digital ;24 cm.
[NT 15003449]:
Product Development: State of the Art and Challenges -- Model for Formulating Decision Problems Within Portfolio Management -- Method for Supporting Product Development -- A Decision Support System for Portfolio Management of NPD Projects -- Implications for Management.
Contained By:
Springer Nature eBook
Subject:
New products - Decision making. -
Online resource:
https://doi.org/10.1007/978-3-030-43897-5
ISBN:
9783030438975
Decision support for product development = using computational intelligence for information acquisition in enterprise databases /
Relich, Marcin.
Decision support for product development
using computational intelligence for information acquisition in enterprise databases /[electronic resource] :by Marcin Relich. - Cham :Springer International Publishing :2021. - xii, 114 p. :ill., digital ;24 cm. - Computational intelligence methods and applications,2510-1765. - Computational intelligence methods and applications..
Product Development: State of the Art and Challenges -- Model for Formulating Decision Problems Within Portfolio Management -- Method for Supporting Product Development -- A Decision Support System for Portfolio Management of NPD Projects -- Implications for Management.
This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling. The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.
ISBN: 9783030438975
Standard No.: 10.1007/978-3-030-43897-5doiSubjects--Topical Terms:
3487487
New products
--Decision making.
LC Class. No.: HF5415.153 / .R45 2021
Dewey Class. No.: 658.575
Decision support for product development = using computational intelligence for information acquisition in enterprise databases /
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Product Development: State of the Art and Challenges -- Model for Formulating Decision Problems Within Portfolio Management -- Method for Supporting Product Development -- A Decision Support System for Portfolio Management of NPD Projects -- Implications for Management.
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This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling. The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.
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Computer Science (SpringerNature-11645)
based on 0 review(s)
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11.線上閱覽_V
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EB HF5415.153 .R45 2021
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