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Titlebook: Decision Support for Product Development; Using Computational Marcin Relich Book 2021 Springer Nature Switzerland AG 2021 Product Developm

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發(fā)表于 2025-3-21 18:59:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Decision Support for Product Development
副標(biāo)題Using Computational
編輯Marcin Relich
視頻videohttp://file.papertrans.cn/265/264302/264302.mp4
概述Describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development.Approaches enable precise prediction of product deve
叢書名稱Computational Intelligence Methods and Applications
圖書封面Titlebook: Decision Support for Product Development; Using Computational  Marcin Relich Book 2021 Springer Nature Switzerland AG 2021 Product Developm
描述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..
出版日期Book 2021
關(guān)鍵詞Product Development; Product Innovation; Product Portfolio Management; Decision-Support Systems; Computa
版次1
doihttps://doi.org/10.1007/978-3-030-43897-5
isbn_softcover978-3-030-43899-9
isbn_ebook978-3-030-43897-5Series ISSN 2510-1765 Series E-ISSN 2510-1773
issn_series 2510-1765
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Method for Supporting Product Development,ome computational intelligence and constraint programming techniques to improve problem solving. This chapter proposes a methodology for acquiring information from enterprise databases and evaluating the potential of a new product in terms of parametric estimation. The relationships between variable
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A Decision Support System for Portfolio Management of NPD Projects,includes dependency analysis between input and output variables, prediction of an output variable (e.g. the NPD cost), portfolio selection of NPD projects, and optimal resource allocation for a project portfolio.
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Model for Formulating Decision Problems Within Portfolio Management,tfolio. Moreover, this chapter provides foundations to formulate NPD-related problems in terms of the CSP in order to facilitate adaptation of a model to new conditions and enable the problem statement in the forward and inverse forms.
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Book 2021, 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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