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This Element on cost-benefit analysis provides a summary of recent theoretical and empirical developments and summarizes state-of-the-art stated-preference and revealed-preference valuation methods. The Element discusses how to assess small (or marginal) as well as large (or non-marginal) projects that have a significant impact on prices and/or other economic variables. It also discusses distortions like taxes, market power, and sticky prices. In addition, risk/uncertainty is considered. A novel feature is the elaboration on flexible evaluation rules for reasonably small projects. Conventional point-estimates of projects should be used with care, because they typically give biased results.
Cost effectiveness. --- Benefit cost analysis --- Capital output ratios --- Cost benefit analysis --- Costs, Industrial --- Engineering economy --- Value analysis (Cost control)
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Science --- Industrial engineering --- Mathematical models --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Natural science --- Science of science --- Sciences --- Natural sciences
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Engineering --- Engineers --- Industrial engineering --- Study and teaching --- Construction --- Industrial arts --- Technology --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Engineering personnel
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Science --- Industrial engineering --- Mathematical models --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Natural science --- Science of science --- Sciences --- Natural sciences
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"This book explores recent developments in environmental cost-benefit analysis (CBA). This is defined as the application of CBA to projects or policies that have the deliberate aim of environmental improvement or are actions that affect, in some way, the natural environment as an indirect consequence. It builds on the previous OECD book by David Pearce et al. (2006), which took as its starting point that a number of developments in CBA, taken together, altered the way in which many economists would argue CBA should be carried out and that this was particularly so in the context of policies and projects with significant environmental impacts. It is a primary objective of the current book not only to assess more recent advances in CBA theory but also to identify how specific developments illustrate key thematic narratives with implications for practical use of environmental CBA in policy formulation and appraisal of investment projects. Perhaps the most significant development is the contribution of climate economics in its response to the challenge of appraising policy actions to mitigate (or adapt to) climate change. Work in this area has increased the focus on how to value costs and benefits that occur far into the future, particularly by showing how conventional procedures for establishing the social discount rate become highly problematic in this intergenerational context and what new approaches might be needed. The contribution of climate economics has also entailed thinking further about uncertainty in CBA, especially where uncertain outcomes might be associated with large (and adverse) impacts"--Page 4 of cover.
Cost effectiveness. --- Environmental economics. --- Economics --- Environmental quality --- Benefit cost analysis --- Capital output ratios --- Cost benefit analysis --- Costs, Industrial --- Engineering economy --- Value analysis (Cost control) --- Environmental aspects --- Economic aspects --- Environmental protection
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Electric power systems --- Electrical engineering --- Industrial engineering --- Electric power systems. --- Electrical engineering. --- Industrial engineering. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Electric engineering --- Power systems, Electric --- Systems, Electric power --- Electric power production
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This book provides some recent research advances in the field of lean manufacturing. Its content is of interest to students in management and production engineering. Topics covered include Just in Time (JIT), Kaizen activities and Critical Metrics. The chapters are written by worldwide well-known experts in the field.
Lean manufacturing --- Lean production --- Management. --- Engineering. --- Industrial engineering. --- Production engineering. --- Industrial organization. --- Industrial and Production Engineering. --- Industrial Organization. --- Manufacturing processes --- Waste minimization --- Industries --- Organization --- Industrial concentration --- Industrial management --- Industrial sociology --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering
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This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.
Engineering. --- Big data. --- Management information systems. --- Computer science. --- Industrial engineering. --- Production engineering. --- Industrial and Production Engineering. --- Big Data/Analytics. --- Management of Computing and Information Systems. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Data sets, Large --- Large data sets --- Construction --- Industrial arts --- Technology --- Communication systems --- Data sets --- Information Systems.
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This book introduces state-of-the-art models and methods based on the matrix in the field of product design and change management. It develops several types of matrix models for a broad range of applications, with the goal of efficiently finding product design solutions and proactively analyzing design change propagation. The book offers readers an extensive introduction to design automation, highlighting fundamental and innovative concepts, as well as cutting-edge technologies. Further, it familiarizes them with the latest advances in design change propagation and prediction. Lastly, the book puts forward design change-oriented matrix models and includes a proactive analysis of change propagation. The book offers a valuable resource for graduate students, researchers and engineers in the fields of product design and methodology, design automation and related areas.
Product design. --- Commercial products --- New products --- Design and construction --- Engineering. --- Engineering design. --- Robotics. --- Automation. --- Industrial engineering. --- Production engineering. --- Engineering Design. --- Industrial and Production Engineering. --- Robotics and Automation. --- Industrial design --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Design, Engineering --- Strains and stresses --- Design --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Manufacturing engineering --- Process engineering --- Mechanical engineering
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This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into five main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply (and demand) portfolios and scheduling; and Part V addresses disruption management of information flows in supply chains.
Business logistics --- Data processing. --- Business. --- Business logistics. --- Industrial engineering. --- Production engineering. --- Business and Management. --- Operations Research/Decision Theory. --- Supply Chain Management. --- Industrial and Production Engineering. --- Operations research. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Supply chain management --- Industrial management --- Logistics --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Decision making. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Decision making
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