東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Decision support for product develop...

Relich, Marcin.

Linked to FindBook

Google Book

Amazon

博客來

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 developmentusing 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 /
LDR:02100nmm a2200337 a 4500 001 2236261
003 DE-He213
005 20201122195540.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030438975 $q (electronic bk.)
020 $a 9783030438968 $q (paper)
024 7 $a 10.1007/978-3-030-43897-5 $2 doi
035 $a 978-3-030-43897-5
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a HF5415.153 $b .R45 2021
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 658.575 $2 23
090 $a HF5415.153 $b .R382 2021
100 1 $a Relich, Marcin. $3 3487486
245 1 0 $a Decision support for product development $h [electronic resource] : $b using computational intelligence for information acquisition in enterprise databases / $c by Marcin Relich.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xii, 114 p. : $b ill., digital ; $c 24 cm.
490 1 $a Computational intelligence methods and applications, $x 2510-1765
505 0 $a 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.
520 $a 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.
650 0 $a New products $x Decision making. $3 3487487
650 0 $a Decision making $x Data processing. $3 752376
650 0 $a Artificial intelligence. $3 516317
650 0 $a Computational intelligence. $3 595739
650 0 $a Management. $3 516664
650 0 $a Industrial management. $3 529072
650 2 4 $a Innovation/Technology Management. $3 1565353
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Computational intelligence methods and applications. $3 3200598
856 4 0 $u https://doi.org/10.1007/978-3-030-43897-5
950 $a Computer Science (SpringerNature-11645)