Decision Aids For Selection Problems
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Decision Aids For Selection Problems
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Author : David L. Olson
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Decision Aids For Selection Problems written by David L. Olson 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.
One of the most important tasks faced by decision-makers in business and government is that of selection. Selection problems are challenging in that they require the balancing of multiple, often conflicting, criteria. In recent years, a number of interesting decision aids have become available to assist in such decisions. The aim of this book is to provide a comparative survey of many of the decision aids currently available. The first chapters present general ideas which underpin the methodologies used to design these aids. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas. A final chapter provides a comparative analysis of their strengths and weaknesses.
Tools For Making Acute Risk Decisions
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Author : CCPS (Center for Chemical Process Safety)
language : en
Publisher: John Wiley & Sons
Release Date : 2010-09-14
Tools For Making Acute Risk Decisions written by CCPS (Center for Chemical Process Safety) and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-14 with Technology & Engineering categories.
The complexity of today's risk decisions is well known. Beyond cost and risk there are many other factors contributing to these decisions, including type of risk (such as human injury or fatality), the economic impact on the local community, profitability, availability of capital, alternatives for reducing or eliminating the risk, costs of implementing alternatives, codes, standards, regulation, and good industry practice. This book presents a large range of decision aids for risk analysts and decision makers in industry so that vital decisions can be made in a more consistent, logical, and rigorous manner. Though primarily aimed at the process industry, this book can be used by anyone who makes similar decisions in other industries, including those in management science.
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 Aids For Fms Part Type Selection Using Aggregate Productiion Ratios To Study Pooled Machines Of Unequal Sizes
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Author : KATHRYN E STECKE
language : en
Publisher:
Release Date : 1986
Decision Aids For Fms Part Type Selection Using Aggregate Productiion Ratios To Study Pooled Machines Of Unequal Sizes written by KATHRYN E STECKE and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.
Building Reliable Component Based Software Systems
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Author : Ivica Crnkovic
language : en
Publisher: Artech House
Release Date : 2002
Building Reliable Component Based Software Systems written by Ivica Crnkovic and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Here's a complete guide to building reliable component-based software systems. Written by world-renowned experts in the component-based software engineering field, this unique resource helps you manage complex software through the development, evaluation and integration of software components. You quickly develop a keen awareness of the benefits and risks to be considered when developing reliable systems using components. A strong software engineering perspective helps you gain a better understanding of software component design, to build systems with stronger requirements, and avoid typical errors throughout the process, leading to improved quality and time to market. From component definition, standards, objects and frameworks, to organizational development and support of the component-based life cycle, the book describes aspects of systems development using components and component development. It focuses on dependable and real-time systems, employing case studies from the process automation industry, software production, electronic consumer equipment and office software development.
Social Sensing And Big Data Computing For Disaster Management
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Author : Zhenlong Li
language : en
Publisher: Routledge
Release Date : 2020-12-17
Social Sensing And Big Data Computing For Disaster Management written by Zhenlong Li and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Social Science categories.
Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.
Multicriteria Location Analysis
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Author : H. A. Eiselt
language : en
Publisher: Springer Nature
Release Date : 2023-03-01
Multicriteria Location Analysis written by H. A. Eiselt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Business & Economics categories.
This book applies Multicriteria Decision Making (MCDM) tools and techniques to problems in location analysis. It begins with a generic model for MCDM and subsequently develops specific versions of the technique for particular location problems. Throughout the book, MCDM is understood to encompass all tools and techniques that choose or rank existing or feasible solutions, including discrete multi-attribute decision making (MADM) problems, which typically include an attribute table that specifies the consequences of each decision with regard to the given criteria, as well as multi-objective linear problems (MOLPs), which incorporate all objectives in a single optimization problem. The book is organized as follows: the first four chapters introduce readers to the basic tools and techniques used in single-objective optimization, multicriteria decision making, location analysis, and other tools, such as statistical regression and geographical information systems. This is followed by ten chapters on model applications, each of which introduces readers to a specific location problem and applies one technique to solve it. The book is then wrapped up in a closing chapter that looks at the location process from a practitioner’s point of view. This book is intended as a textbook for upper-undergraduate and master-level courses on location analysis. It will also benefit decision-makers who actually need to locate facilities.
Fuzzy Logic For Planning And Decision Making
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Author : Freerk A. Lootsma
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Fuzzy Logic For Planning And Decision Making written by Freerk A. Lootsma 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 2013-03-14 with Business & Economics categories.
This book starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of Fuzzy Logic in Operations Research: PERT planning with uncertain activity durations, Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. New items are: Fuzzy PERT using activity durations with triangular membership functions, Fuzzy SMART with a sensitivity analysis based upon Fuzzy Logic, the Additive and the Multiplicative AHP with a similar feature, ELECTRE using the ideas of the AHP and SMART, and a comparative study of the ideal-point methods for MOO. Finally, earlier studies of colour perception illustrate the attempts to find a physiological basis for the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses some key issues in linguistic categorization and the prospects of Fuzzy Logic as a multi-disciplinary research activity. Audience: Researchers and students working in applied mathematics, operations research, management science, business administration, econometrics, industrial engineering, information systems, artificial intelligence, mathematical psychology, and psycho-physics.
Enterprise Information Systems
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Author : David L. Olson
language : en
Publisher: World Scientific
Release Date : 2009
Enterprise Information Systems written by David L. Olson and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
This book analyzes various aspects of enterprise information systems (EIS), including enterprise resource planning, customer relationship management, supply chain management systems, and business process reengineering. It describes the evolution and functions of these systems, focusing on issues related to their implementation and upgrading. Enhanced with pedagogical features, the book can be read by graduate and undergraduate students, as well as senior management and executives involved in the study and evaluation of EIS.
Enterprise Risk Management Models
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Author : David L. Olson
language : en
Publisher: Springer Nature
Release Date : 2023-10-28
Enterprise Risk Management Models written by David L. Olson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-28 with Business & Economics categories.
This textbook, now in its fourth edition, serves as a comprehensive guide to learning various aspects of risk, encompassing supply chain management, artificial intelligence, and sustainability. It demonstrates a wide range of operations research models that have been successfully applied to enterprise supply chain risk management. Each chapter of the book can function as a standalone module focusing on a specific topic, offering dedicated examples, definitions, and discussion notes. The publication of this book comes at a crucial time when the world is facing increasing challenges from various forms of risk. Events such as Covid-19, the energy crisis, wars, and terrorism in the 21st century have all disrupted supply chains, thus highlighting the critical importance of enterprise risk management. Additional risks, such as financial and technological bubbles, along with concerns surrounding rampant artificial intelligence, contribute to a climate that demands enhanced risk management within organizations.