Decision Models in Engineering and Management

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Publisher : Springer
ISBN 13 : 3319119494
Total Pages : 322 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Decision Models in Engineering and Management by : Patricia Guarnieri

Download or read book Decision Models in Engineering and Management written by Patricia Guarnieri and published by Springer. This book was released on 2015-01-05 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a comprehensive overview of various methods and applications in decision engineering, this book presents chapters written by a range experts in the field. It presents conceptual aspects of decision support applications in various areas including finance, vendor selection, construction, process management, water management and energy, agribusiness , production scheduling and control, and waste management. In addition to this, a special focus is given to methods of multi-criteria decision analysis. Decision making in organizations is a recurrent theme and is essential for business continuity. Managers from various fields including public, private, industrial, trading or service sectors are required to make decisions. Consequently managers need the support of these structured methods in order to engage in effective decision making. This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analysis. It is also intended for production engineers, civil engineers and engineering consultants.

Decision Making in Systems Engineering and Management

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Publisher : John Wiley & Sons
ISBN 13 : 1119901421
Total Pages : 580 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Decision Making in Systems Engineering and Management by : Patrick J. Driscoll

Download or read book Decision Making in Systems Engineering and Management written by Patrick J. Driscoll and published by John Wiley & Sons. This book was released on 2022-10-25 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: DECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENT A thoroughly updated overview of systems engineering management and decision making In the newly revised third edition of Decision Making in Systems Engineering and Management, the authors deliver a comprehensive and authoritative overview of the systems decision process, systems thinking, and qualitative and quantitative multi-criteria value modeling directly supporting decision making throughout the system lifecycle. This book offers readers major new updates that cover recently developed system modeling and analysis techniques and quantitative and qualitative approaches in the field, including effective techniques for addressing uncertainty. In addition to Excel, six new open-source software applications have been added to illustrate key topics, including SIPmath Modeler Tools, Cambridge Advanced Modeller, SystemiTool2.0, and Gephi 0.9.2. The authors have reshaped the book’s organization and presentation to better support educators engaged in remote learning. New appendices have been added to present extensions for a new realization analysis technique and getting started steps for each of the major software applications. Updated illustrative examples support modern system decision making skills and highlight applications in hardware, organizations, policy, logistic supply chains, and architecture. Readers will also find: Thorough introductions to working with systems, the systems engineering perspective, and systems thinking In-depth presentations of applied systems thinking, including holism, element dependencies, expansive and contractive thinking, and concepts of structure, classification, and boundaries Comprehensive explorations of system representations leading to analysis In-depth discussions of supporting system decisions, including the system decision process (SDP), tradespace methods, multi-criteria value modeling, working with stakeholders, and the system environment Perfect for undergraduate and graduate students studying systems engineering and systems engineering management, Decision Making in Systems Engineering and Management will also earn a place in the libraries of practicing system engineers and researchers with an interest in the topic.

Asset Condition, Information Systems and Decision Models

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Publisher : Springer Science & Business Media
ISBN 13 : 1447129245
Total Pages : 239 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Asset Condition, Information Systems and Decision Models by : Joe E. Amadi-Echendu

Download or read book Asset Condition, Information Systems and Decision Models written by Joe E. Amadi-Echendu and published by Springer Science & Business Media. This book was released on 2012-11-05 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China. Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government.

Decision Making in Engineering Design

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Publisher : American Society of Mechanical Engineers
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Decision Making in Engineering Design by : Kemper E. Lewis

Download or read book Decision Making in Engineering Design written by Kemper E. Lewis and published by American Society of Mechanical Engineers. This book was released on 2006 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Engineering Decision Making and Risk Management

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Publisher : John Wiley & Sons
ISBN 13 : 1118919335
Total Pages : 355 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Engineering Decision Making and Risk Management by : Jeffrey W. Herrmann

Download or read book Engineering Decision Making and Risk Management written by Jeffrey W. Herrmann and published by John Wiley & Sons. This book was released on 2015-04-06 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.

Multiple Criteria Decision Making

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Publisher : Springer
ISBN 13 : 3319392921
Total Pages : 211 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Multiple Criteria Decision Making by : Constantin Zopounidis

Download or read book Multiple Criteria Decision Making written by Constantin Zopounidis and published by Springer. This book was released on 2016-09-08 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.

Handbook of Marketing Decision Models

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Publisher : Springer Science & Business Media
ISBN 13 : 0387782133
Total Pages : 630 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Handbook of Marketing Decision Models by : Berend Wierenga

Download or read book Handbook of Marketing Decision Models written by Berend Wierenga and published by Springer Science & Business Media. This book was released on 2008-09-05 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.

Multiple Criteria Decision Analysis for Industrial Engineering

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Publisher : CRC Press
ISBN 13 : 1498739857
Total Pages : 381 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Multiple Criteria Decision Analysis for Industrial Engineering by : Gerald William Evans

Download or read book Multiple Criteria Decision Analysis for Industrial Engineering written by Gerald William Evans and published by CRC Press. This book was released on 2016-12-01 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents methodologies and applications associated with multiple criteria decision analysis (MCDA), especially for those students with an interest in industrial engineering. With respect to methodology, the book covers (1) problem structuring methods; (2) methods for ranking multi-dimensional deterministic outcomes including multiattribute value theory, the analytic hierarchy process, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and outranking techniques; (3) goal programming,; (4) methods for describing preference structures over single and multi-dimensional probabilistic outcomes (e.g., utility functions); (5) decision trees and influence diagrams; (6) methods for determining input probability distributions for decision trees, influence diagrams, and general simulation models; and (7) the use of simulation modeling for decision analysis. This textbook also offers: · Easy to follow descriptions of how to apply a wide variety of MCDA techniques · Specific examples involving multiple objectives and/or uncertainty/risk of interest to industrial engineers · A section on outranking techniques ; this group of techniques, which is popular in Europe, is very rarely mentioned as a methodology for MCDA in the United States · A chapter on simulation as a useful tool for MCDA, including ranking & selection procedures. Such material is rarely covered in courses in decision analysis · Both material review questions and problems at the end of each chapter . Solutions to the exercises are found in the Solutions Manual which will be provided along with PowerPoint slides for each chapter. The methodologies are demonstrated through the use of applications of interest to industrial engineers, including those involving product mix optimization, supplier selection, distribution center location and transportation planning, resource allocation and scheduling of a medical clinic, staffing of a call center, quality control, project management, production and inventory control,and so on. Specifically, industrial engineering problems are structured as classical problems in multiple criteria decision analysis, and the relevant methodologies are demonstrated.

What Every Engineer Should Know About Decision Making Under Uncertainty

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Publisher : CRC Press
ISBN 13 : 9780203910757
Total Pages : 342 pages
Book Rating : 4.9/5 (17 download)

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Book Synopsis What Every Engineer Should Know About Decision Making Under Uncertainty by : John X. Wang

Download or read book What Every Engineer Should Know About Decision Making Under Uncertainty written by John X. Wang and published by CRC Press. This book was released on 2002-07-01 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.

Hierarchical Decision Modeling

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Publisher : Springer
ISBN 13 : 3319185586
Total Pages : 336 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Hierarchical Decision Modeling by : Tugrul U. Daim

Download or read book Hierarchical Decision Modeling written by Tugrul U. Daim and published by Springer. This book was released on 2015-07-25 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into five parts: Technology Policy Planning, Strategic Technology Planning, Technology Assessment, Application Extensions, and Methodology Extensions. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics research and development, education, government planning, agriculture, energy, technology transfer, semiconductor manufacturing, and has influenced policy locally, nationally, and internationally. Moreover, his students developed advanced tools and software applications to further improve and enhance the robustness of the HDM approach. Dr. Kocaoglu has made many contributions to the field of Engineering and Technology Management. During his tenure at Portland State University, he founded the Engineering and Technology Management program, where he served as Program Director and later, Department Chair. He also started the Portland International Conference on Management of Engineering and Technology (PICMET), which organizes an annual conference in international locations such as Korea, Turkey, South Africa, Thailand, and Japan. His teaching has won awards and resulted in a strong sense of student loyalty among his students even decades later. Through his academic work and research, Dr. Kocaoglu has strongly supported researchers of engineering management and has provided tremendous service to the field. This volume recognizes and celebrates Dr. Kocaoglu’s profound contributions to the field, and will serve as a resource for generations of researchers, practitioners and students.

The Decision Model

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Publisher : CRC Press
ISBN 13 : 9781420082821
Total Pages : 553 pages
Book Rating : 4.0/5 (828 download)

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Book Synopsis The Decision Model by : Barbara von Halle

Download or read book The Decision Model written by Barbara von Halle and published by CRC Press. This book was released on 2009-10-27 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current fast-paced and constantly changing business environment, it is more important than ever for organizations to be agile, monitor business performance, and meet with increasingly stringent compliance requirements. Written by pioneering consultants and bestselling authors with track records of international success, The Decision Model: A Business Logic Framework Linking Business and Technology provides a platform for rethinking how to view, design, execute, and govern business logic. The book explains how to implement the Decision Model, a stable, rigorous model of core business logic that informs current and emerging technology. The authors supply a strong theoretical foundation, while succinctly defining the path needed to incorporate agile and iterative techniques for developing a model that will be the cornerstone for continual growth. Because the book introduces a new model with tentacles in many disciplines, it is divided into three sections: Section 1: A Complete overview of the Decision Model and its place in the business and technology world Section 2: A Detailed treatment of the foundation of the Decision Model and a formal definition of the Model Section 3: Specialized topics of interest on the Decision Model, including both business and technical issues The Decision Model provides a framework for organizing business rules into well-formed decision-based structures that are predictable, stable, maintainable, and normalized. More than this, the Decision Model directly correlates business logic to the business drivers behind it, allowing it to be used as a lever for meeting changing business objectives and marketplace demands. This book not only defines the Decision Model and but also demonstrates how it can be used to organize decision structures for maximum stability, agility, and technology independence and provide input into automation design.

Decision Making Under Uncertainty

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Publisher : MIT Press
ISBN 13 : 0262331713
Total Pages : 350 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Decision Making Under Uncertainty by : Mykel J. Kochenderfer

Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Economic Decision Models for Engineers and Managers

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (757 download)

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Book Synopsis Economic Decision Models for Engineers and Managers by : Riggs

Download or read book Economic Decision Models for Engineers and Managers written by Riggs and published by . This book was released on 1968 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

ECONOMIC DECISION MODELS for engineers and managers

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Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4./5 ( download)

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Book Synopsis ECONOMIC DECISION MODELS for engineers and managers by : JAMES L. RIGGS

Download or read book ECONOMIC DECISION MODELS for engineers and managers written by JAMES L. RIGGS and published by . This book was released on 1968 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:

System Engineering Management

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Publisher : John Wiley & Sons
ISBN 13 : 111904782X
Total Pages : 576 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis System Engineering Management by : Benjamin S. Blanchard

Download or read book System Engineering Management written by Benjamin S. Blanchard and published by John Wiley & Sons. This book was released on 2016-02-29 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, step-by-step guide to total systems management Systems Engineering Management, Fifth Edition is a practical guide to the tools and methodologies used in the field. Using a "total systems management" approach, this book covers everything from initial establishment to system retirement, including design and development, testing, production, operations, maintenance, and support. This new edition has been fully updated to reflect the latest tools and best practices, and includes rich discussion on computer-based modeling and hardware and software systems integration. New case studies illustrate real-world application on both large- and small-scale systems in a variety of industries, and the companion website provides access to bonus case studies and helpful review checklists. The provided instructor's manual eases classroom integration, and updated end-of-chapter questions help reinforce the material. The challenges faced by system engineers are candidly addressed, with full guidance toward the tools they use daily to reduce costs and increase efficiency. System Engineering Management integrates industrial engineering, project management, and leadership skills into a unique emerging field. This book unifies these different skill sets into a single step-by-step approach that produces a well-rounded systems engineering management framework. Learn the total systems lifecycle with real-world applications Explore cutting edge design methods and technology Integrate software and hardware systems for total SEM Learn the critical IT principles that lead to robust systems Successful systems engineering managers must be capable of leading teams to produce systems that are robust, high-quality, supportable, cost effective, and responsive. Skilled, knowledgeable professionals are in demand across engineering fields, but also in industries as diverse as healthcare and communications. Systems Engineering Management, Fifth Edition provides practical, invaluable guidance for a nuanced field.

Knowledge Science, Engineering and Management

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Publisher : Springer Nature
ISBN 13 : 3030821536
Total Pages : 704 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Knowledge Science, Engineering and Management by : Han Qiu

Download or read book Knowledge Science, Engineering and Management written by Han Qiu and published by Springer Nature. This book was released on 2021-08-07 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

Real-World Decision Modeling with DMN

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Publisher : Jtonedm
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (182 download)

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Book Synopsis Real-World Decision Modeling with DMN by : James Taylor

Download or read book Real-World Decision Modeling with DMN written by James Taylor and published by Jtonedm. This book was released on 2023-07-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations make thousands of automated, operational decisions every week. How well they make these decisions drives profitability, reputation and customer satisfaction. Decision modeling helps them understand, automate and improve them