Deciding about Design Quality

by Leentje Volker

Author	: Leentje Volker
Publisher	: Sidestone Press
Total Pages	: 342
Release	: 2010
Genre	: Architecture
ISBN	: 9088900531

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In the past few years the image of tender procedures in which Dutch public clients selected an architect has been dominated by distressing newspaper headlines. Architects fear that the current tender culture will harm the quality of our built environment due to a potential lack of diversity, creativity and innovation in architectural design. Due to potential risks clients often allow legal requirements to overrule their actual wishes. This PhD research addresses the origin of the problems as currently experienced by public commissioning clients in architect selection and proposes pragmatic implications for future practice. It is therefore of interest for commissioning clients, management consultants, policy makers and legal advisors but also for designers and researchers in the field of architecture and decision making.

Multiple Criteria Decision Support in Engineering Design

by Pratyush Sen

Author	: Pratyush Sen
Publisher	: Springer Science & Business Media
Total Pages	: 276
Release	: 2012-12-06
Genre	: Technology & Engineering
ISBN	: 1447130200

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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

by Ali Jahan

Author	: Ali Jahan
Publisher	: Butterworth-Heinemann
Total Pages	: 254
Release	: 2016-02-17
Genre	: Technology & Engineering
ISBN	: 0081005415

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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-Based Design

by Wei Chen

Author	: Wei Chen
Publisher	: Springer Science & Business Media
Total Pages	: 358
Release	: 2012-08-22
Genre	: Technology & Engineering
ISBN	: 1447140362

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Building upon the fundamental principles of decision theory, Decision-Based Design: Integrating Consumer Preferences into Engineering Design presents an analytical approach to enterprise-driven Decision-Based Design (DBD) as a rigorous framework for decision making in engineering design. Once the related fundamentals of decision theory, economic analysis, and econometrics modelling are established, the remaining chapters describe the entire process, the associated analytical techniques, and the design case studies for integrating consumer preference modeling into the enterprise-driven DBD framework. Methods for identifying key attributes, optimal design of human appraisal experiments, data collection, data analysis, and demand model estimation are presented and illustrated using engineering design case studies. The scope of the chapters also provides: A rigorous framework of integrating the interests from both producer and consumers in engineering design, Analytical techniques of consumer choice modelling to forecast the impact of engineering decisions, Methods for synthesizing business and engineering models in multidisciplinary design environments, and Examples of effective application of Decision-Based Design supported by case studies. No matter whether you are an engineer facing decisions in consumer related product design, an instructor or student of engineering design, or a researcher exploring the role of decision making and consumer choice modelling in design, Decision-Based Design: Integrating Consumer Preferences into Engineering Design provides a reliable reference over a range of key topics.

Decision Making in Engineering Design

by Evangelos Papageorgiou

Author	: Evangelos Papageorgiou
Publisher	: Cambridge Scholars Publishing
Total Pages	: 242
Release	: 2018-12-13
Genre	: Technology & Engineering
ISBN	: 1527523241

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This book presents an operational tool for decision making under uncertainty in any engineering design. It synthesizes classical decision making methods, such as multi-attribute utility theory, analytic hierarchy process with game theory and quantum decision theory. It demonstrates the implementation of the value driven design philosophy in the engineering design framework. Value, related to the designed system’s capabilities and lifecycle cost, is used to compare different alternatives through the appropriate value model. Game Theory as an optimization tool is used to successfully address the stakeholders’ preferences in a functional outcome-focused way. A Quantum-based Decision Making model is also developed to capture the complexity of human decision making related with risk attitude in the presence of ambiguity and uncertainty. Apart from rationality, the decision makers’ biases, emotions and subjective feelings are also captured in this model.

Decision Making in Engineering Design

by Kemper E. Lewis

Author	: Kemper E. Lewis
Publisher	: American Society of Mechanical Engineers
Total Pages	: 360
Release	: 2006
Genre	: Technology & Engineering
ISBN	:

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Whether you are an engineer facing decisions in product design, an instructor or student engaged in course work, or a researcher exploring new options and opportunities, you can turn to Decision Making in Engineering Design for: Foundations and fundamentals of making decisions in product design; Clear examples of effective application of Decision-Based Design; State-of-the-art theory and practice in Decision-Based Design; Thoughtful insights on validation, uncertainty, preferences, distributed design, demand modeling, and other issues; End-of-chapter exercise problems to facilitate learning. With this advanced text, you become current with research results on DBD developed since the inception of The Open Workshop on Decision-Based Design, a project funded by the National Science Foundation.

Architectural Design Decision Documentation through Reuse of Design Patterns

by Durdik, Zoya

Author	: Durdik, Zoya
Publisher	: KIT Scientific Publishing
Total Pages	: 522
Release	: 2016-07-07
Genre	: Electronic computers. Computer science
ISBN	: 3731502925

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The ADMD3 approach presented in this book enchances the architectural design documentation of decision via reuse of design patterns. It combines the support for evaluation of pattern application, semi-automated documentation of decision rationale and trace links. The approach is based on a new kind of design pattern catalogue, whereby usual pattern descriptions are captured together with question annotations to the patterns and information on architectural structure of patterns.

Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

by M. Z. Naser

Author	: M. Z. Naser
Publisher	: Elsevier
Total Pages	: 300
Release	: 2023-10-18
Genre	: Technology & Engineering
ISBN	: 0128240741

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The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. - Presents the fundamentals of AI/ML and how they can be applied in civil and environmental engineering - Shares the latest advances in explainable and interpretable methods for AI/ML in the context of civil and environmental engineering - Focuses on civil and environmental engineering applications (day-to-day and extreme events) and features case studies and examples covering various aspects of applications

Using Traditional Design Methods to Enhance AI-Driven Decision Making

by Nguyen, Tien V. T.

Author	: Nguyen, Tien V. T.
Publisher	: IGI Global
Total Pages	: 528
Release	: 2024-01-10
Genre	: Computers
ISBN	:

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In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.