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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.
An eminently approachable and practical introduction to case- and program-level evaluation techniques.
Practical Program Evaluation for Criminal Justice shows readers how to apply the principles of fiscal responsibility, accountability, and evidence-based practice to criminal justice reform plans. Unlike other policy-based texts, which tend to focus more on implementation than assessment, this book provides applicable, step-by-step instruction on determining an initiative's necessity prior to its adoption (reducing the risk of wasting resources), as well as how to accurately gauge its effectiveness during initial roll-out stages. The book gradually introduces basic data analysis procedures and statistical techniques, which, once mastered, can be used to prove or disprove a program's worth. Lastly, the book introduces the types of stakeholders who should review evaluation results for quick action, as well as how to best structure reports to ensure their buy-in.
Reflecting the latest developments in the field, The Practice of Health Program Evaluation, Second Edition provides readers with effective methods for evaluating health programs, policies, and health care systems, offering expert guidance for collaborating with stakeholders involved in the process. Author David Grembowski explores evaluation as a three-act play: Act I shows evaluators how to work with decision makers and other groups to identify the questions they want answered; Act II covers selecting appropriate evaluation designs and methods to answer the questions and reveal insights about the program’s impacts, cost-effectiveness, and implementation; and Act III discusses making use of the findings. Packed with relevant examples and detailed explanations, the book offers a step-by-step approach that fully prepares readers to apply research methods in the practice of health program evaluation.
Program Evaluation and Performance Measurement: An Introduction to Practice, Second Edition offers an accessible, practical introduction to program evaluation and performance measurement for public and non-profit organizations, and has been extensively updated since the first edition. Using examples, it covers topics in a detailed fashion, making it a useful guide for students as well as practitioners who are participating in program evaluations or constructing and implementing performance measurement systems. Authors James C. McDavid, Irene Huse, and Laura R. L. Hawthorn guide readers through conducting quantitative and qualitative program evaluations, needs assessments, cost-benefit and cost-effectiveness analyses, as well as constructing, implementing and using performance measurement systems. The importance of professional judgment is highlighted throughout the book as an intrinsic feature of evaluation practice.