Intelligent Systems in Process Engineering, Part I: Paradigms from Product and Process Design

Intelligent Systems in Process Engineering, Part I: Paradigms from Product and Process Design

Author:

Publisher: Academic Press

Published: 1995-11-14

Total Pages: 345

ISBN-13: 0080565689

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Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems. - Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems - Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning - The product of ten-years experience in integrating AI into process engineering - Offers expanded and realistic formulations of real-world problems


Intelligent Systems in Process Engineering, Part II: Paradigms from Process Operations

Intelligent Systems in Process Engineering, Part II: Paradigms from Process Operations

Author:

Publisher: Academic Press

Published: 1995-11-14

Total Pages: 347

ISBN-13: 0080565697

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Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems. - Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems - Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning - The product of ten-years experience in integrating AI into process engineering - Offers expanded and realistic formulations of real-world problems


Tools For Chemical Product Design

Tools For Chemical Product Design

Author: Mariano Martín Martín

Publisher: Elsevier

Published: 2016-09-19

Total Pages: 702

ISBN-13: 0444636846

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Tools for Chemical Product Design: From Consumer Products to Biomedicine describes the challenges involved in systematic product design across a variety of industries and provides a comprehensive overview of mathematical tools aimed at the design of chemical products, from molecular design to customer products. Chemical product design has become increasingly important over the past decade and includes a wide range of sectors including gasoline additives and blends in the petroleum industry, active ingredients and excipients in the pharmaceutical industry, and a variety of consumer products and specialty chemicals. Traditionally, such products have been designed through trial and error methods, which not only are time-consuming, but more importantly only provide limited knowledge that can be translated into next generation products. - Features an impressive collection of contributions from leading researchers in the field - Presents the latest tools available across a variety of industries - Describes the challenges involved in systematic product design as well as the latest methods for solving such problems - Covers a wide range of sectors including gasoline additives and blends in the petroleum industry, active ingredients and excipients in the pharmaceutical industry, and a variety of consumer products and specialty chemicals


Conceptual Modeling - ER 2000

Conceptual Modeling - ER 2000

Author: Alberto H.F. Laender

Publisher: Springer Science & Business Media

Published: 2000-09-20

Total Pages: 603

ISBN-13: 3540410724

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This book constitutes the refereed proceedings of the 19th International Conference on Conceptual Modeling, ER 2000, held in Salt Lake City, Utah, USA in October 2000. The 37 revised full papers presented together with three invited papers and eight industrial abstracts were carefully reviewed and selected from a total of 140 submitted papers. The book offers topical sections on database integration, temporal and active database modeling, database and data warehouse design techniques, analysis patterns and ontologies, Web-based information systems, business process modeling, conceptual modeling and XML, engineering and multimedia application modeling, object-oriented modeling, applying object-oriented technology, quality in conceptual modeling, and application design using UML.


Transdisciplinary Engineering: A Paradigm Shift

Transdisciplinary Engineering: A Paradigm Shift

Author: C.-H. Chen

Publisher: IOS Press

Published: 2017-07-20

Total Pages: 1092

ISBN-13: 1614997799

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Concurrent Engineering is based on the concept that different phases of a product life cycle should be conducted concurrently and initiated as early as possible within the Product Creation Process (PCP). Its main goal is to increase the efficiency and effectiveness of the PCP and reduce errors in the later stages, and to incorporate considerations for the full lifecycle, through-life operations, and environmental issues of the product. It has become the substantive basic methodology in many industries, and the initial basic concepts have matured and become the foundation of many new ideas, methodologies, initiatives, approaches and tools. This book presents the proceedings of the 24th ISPE Inc. International Conference on Transdisciplinary (formerly: Concurrent) Engineering (TE 2017), held in Singapore, in July 2017. The 120 peer-reviewed papers in the book are divided into 16 sections: air transport and traffic operations and management; risk-aware supply chain intelligence; product innovation and marketing management; human factors in design; human engineering; design methods and tools; decision supporting tools and methods; concurrent engineering; knowledge-based engineering; collaborative engineering; engineering for sustainability; service design; digital manufacturing; design automation; artificial intelligence and data analytics; smart systems and the Internet of Things. The book provides a comprehensive overview of recent advances in transdisciplinary concurrent engineering research and applications, and will be of interest to researchers, design practitioners and educators working in the field.