Decision Support For Product Development
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Decision Support For Product Development
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Author : Marcin Relich
language : en
Publisher: Springer Nature
Release Date : 2020-11-22
Decision Support For Product Development written by Marcin Relich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-22 with Computers categories.
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.
Intelligent Support Systems For Marketing Decisions
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Author : Nikolaos F. Matsatsinis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Intelligent Support Systems For Marketing Decisions written by Nikolaos F. Matsatsinis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis. The authors systematically examine the use and implementation of these methodologies in making strategic marketing decisions. Part I discusses the basic concepts of multicriteria analysis vis-à-vis marketing decisions and in new product development situations. Part II presents basic concepts from the fields of Information Systems, Decision Support Systems, and Intelligent Decision Support Methods. In addition, specialized categories of DSS (multicriteria DSS, web-based DSS, group DSS, spatial DSS) are discussed in terms of their key features and current use in marketing applications. Part III presents IDSS and a multicriteria methodology for new product development. Further chapters present a developmental strategy for analyzing, designing, and implementing an Intelligent Marketing Decision Support System. The implementation discussion is illustrated with a real-world example of the methods and system in use.
Decision Support For Product Development
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Author : Marcin Relich
language : en
Publisher: Springer
Release Date : 2021-11-23
Decision Support For Product Development written by Marcin Relich and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-23 with Computers categories.
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.
Multiple Criteria Decision Support In Engineering Design
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Author : Pratyush Sen
language : en
Publisher: Springer
Release Date : 2011-12-07
Multiple Criteria Decision Support In Engineering Design written by Pratyush Sen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-07 with Technology & Engineering categories.
Multiple criteria decision making tools have been developing at an extremely rapid pace over the last few years. This work explores the nature of the pursuit, using the authors extensive experience in the field. With its clear, concise approach combining industrial examples and case studies, this book will be of interest to graduate students, practicing engineers, and project managers.
Multi Criteria Decision Analysis For Supporting The Selection Of Engineering Materials In Product Design
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Author : Ali Jahan
language : en
Publisher: Butterworth-Heinemann
Release Date : 2016-02-17
Multi Criteria Decision Analysis For Supporting The Selection Of Engineering Materials In Product Design written by Ali Jahan and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-17 with Technology & Engineering categories.
Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. - Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies - Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis - Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material - Provides a case study for simultaneous materials selection and geometrical optimization processes
Decision Making For New Product Development In Small Businesses
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Author : Mary Haropoulou
language : en
Publisher: Routledge
Release Date : 2018-12-07
Decision Making For New Product Development In Small Businesses written by Mary Haropoulou and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Business & Economics categories.
What goes on in a small firm that lives or dies by its capacity to innovate? How are decisions made on new product development, and how does that feed into the ecological, social and financial sustainability of the firm? This book answers the questions through an in-depth look at a small business that manufactures high-end carpet yarn. Using advanced analytical techniques to interrogate rich qualitative data, the book draws together established theories of decision-making and new product development, coupled with thinking about business sustainability to improve our understanding of this important area of business practice. The book further reinforces the importance and role of organizational learning in organizational decision-making, based on novel analysis of empirically developed qualitative data.
Competence Based Decision Support For The Offshoring Of Automotive Product Development Processes To India
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Author : Sanket Bhatia
language : en
Publisher: GRIN Verlag
Release Date : 2011-05-09
Competence Based Decision Support For The Offshoring Of Automotive Product Development Processes To India written by Sanket Bhatia and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-09 with Business & Economics categories.
Master's Thesis from the year 2006 in the subject Business economics - Supply, Production, Logistics, grade: 1.3, Hamburg University of Technology, language: English, abstract: The increasing importance of offshoring as a strategic tool for firms which possess substantial resources in high-cost locations is reflected in the increasing quantity and value of work being offshored. The offshoring of Automotive Product Development Processes (generically called Automotive Engineering Services) serves not only to reduce developmental costs for firms, but can also help firms develop resources in fast-growing markets, which can also act as an important source of future revenue. The trend of offshoring Automotive Engineering Services (ES) activities to India is becoming increasingly important. Of the $15 billion offshore ES market (including automotive and other ES activities), India claimed 12% in 2005 . Experts claim that this value will increase to $40 billion by 2020, representing a market share of 25%. The increasing importance of ES offshoring is reflected in increasing investments and acquisitions of Indian firms in this business area. The dynamic situation being faced by firms wishing to offshore ES work to India necessitates a decision support methodology, which was outlined in this work. Introduction to Present Work The present project aimed to provide offshoring decision support to automotive product development firms located in Germany/W. Europe by answering the following two questions: 1. Which process steps in the automotive product development process are best offshored? Which process steps should be retained in-house, onshore? 2. In case of offshore partnerships, which criteria may be used to evaluate prospective offshore partners? Offshoreability The offshoreability of an organizational process may be defined as the ease with which it may be offshored to another location, without losing any of its value or efficiency. Offshoreability thus depends on many factors- the main factors have been summarized within this work. The concept of offshoreability may thus be used to make offshoring decisions regarding the processes or process steps to be offshored, to decide upon measures/upgrades that may increase offshoreability and thus the benefit from offshoring, and to decide upon factors which may be used to evaluate possible offshore partners.
Decision Making In Manufacturing Environment Using Graph Theory And Fuzzy Multiple Attribute Decision Making Methods
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Author : R. Venkata Rao
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-27
Decision Making In Manufacturing Environment Using Graph Theory And Fuzzy Multiple Attribute Decision Making Methods written by R. Venkata Rao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-27 with Business & Economics categories.
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers,manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.
Dss 2 0 Supporting Decision Making With New Technologies
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Author : G.E. Phillips-Wren
language : en
Publisher: IOS Press
Release Date : 2014-05-22
Dss 2 0 Supporting Decision Making With New Technologies written by G.E. Phillips-Wren and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Business & Economics categories.
Advances in technology have resulted in new and advanced methods to support decision-making. For example, artificial intelligence has enabled people to make better decisions hrough the use of Intelligent Decision Support Systems (DSS). Emerging research in DSS demonstrates that decision makers can operate in a more timely manner using real-time data, more accurately due to data mining and 'big data' methods, more strategically by considering a greater number of factors, more precisely and inclusively due to the availability of social networking data, and with a wider media reach with video and audio technology._x000D_ _x000D_This book presents the proceedings of the IFIP TC8/Working Group 8.3 conference held at the Université Pierre et Marie Curie in Paris, France, in June 2014. Throughout its history the conference has aimed to present the latest innovations and achievements in Decision Support Systems. This year the conference looks to the next generation with the theme of new technologies to enable DSS2.0. The topics covered include theoretical, empirical and design science research; case-based approaches in decision support systems; decision models in the real-world; healthcare information technology; decision making theory; knowledge management; knowledge and resource discovery; business intelligence; group decision support systems; collaborative decision making; analytics and ‘big data’; rich language for decision support; multimedia tools for DSS; Web 2.0 systems in decision support; context-based technologies for decision making; intelligent systems and technologies in decision support; organizational decision support; research methods in DSS 2.0; mobile DSS; competing on analytics; and social media analytics._x000D_ _x000D_ The book will be of interest to all those who develop or use Decision Support Systems. The variety of methods and applications illustrated by this international group of carefully reviewed papers should provide ideas and directions for future researchers and practitioners alike.
Data Driven Decision Making For Product Service Systems
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Author : Giuditta Pezzotta
language : en
Publisher: Springer Nature
Release Date : 2024-06-21
Data Driven Decision Making For Product Service Systems written by Giuditta Pezzotta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Technology & Engineering categories.
This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the context of Product-Service Systems (PSS). Providing a comprehensive overview, it discusses the latest breakthroughs in operational, tactical, and strategic decision-making for PSS, leveraging data-driven processes, methodologies, and tools. Therefore, the book significantly contributes to strengthening the knowledge on the use of data-driven decision-making methods and tools all the phases of the PSS lifecycle. From extended warranties and leasing to pay-per-use and other innovative configurations, manufacturing companies are increasingly adopting servitized business models and PSS to create additional value for their customers and users and create robust relationships with them, ensuring more reliable cash flows. In this setting, effective information management and the utilization of aggregated operational data have become essential for guiding strategic, tactical, and operational decisions. This book not only consolidates theoretical frameworks but also offers practical insights into data-driven decision-making in PSS, providing deep knowledge on how complex decisions can be taken along the various phases of the PSS lifecycle using data-driven methods and tools. Key areas of focus include: 1. In the Beginning of Life, introducing new services tailored to customer needs, disclosing new business opportunities in terms of revenues, and extending the PSS Middle of Life. 2. Designing or re-designing assets and/or services, thereby influencing the PSS Beginning of Life. 3. Enhancing daily decisions related to asset management to improve the PSS Middle of Life. 4. Optimizing daily decisions related to service delivery and management, aimed at enhancing the PSS Middle of Life. 5. Facilitating informed decisions on recycling, remanufacturing, refurbishing, and revamping, impacting the PSS End of Life. This book will be of interest to researchers and managers in industry as it offers insights that bridge the gap between theory and practical application in the evolving landscape of PSS.