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Multiple Criteria Decision Analysis for Industrial Engineering

Multiple Criteria Decision Analysis for Industrial Engineering PDF Author: Gerald William Evans
Publisher: CRC Press
ISBN: 9781498739825
Category : Industrial engineering
Languages : en
Pages : 467
Book Description
This textbook presents methodology 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 presents 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 The section on outranking techniques discusses; the group of techniques, which is popular in Europe, but is very rarely mentioned as a methodology for MCDA in the USUnited States . A chapter on simulation as a useful tool for MCDA, including ranking & and selection procedures. Such material which is rarely covered in courses in decision analysis . Both material review questions and problems at the end of each chapter the . Solutions solutionscan b are provided e found in the solutions Solutions manual Manual which will be provided along with PowerPoint slides for each chapter. The methodology is ies 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, etcand so on. Specifically, industrial engineering problems are structured as classical problems in multiple criteria decision analysis, and the relevant methodologies are demonstrated."

Multiple Criteria Decision Analysis for Industrial Engineering

Multiple Criteria Decision Analysis for Industrial Engineering PDF Author: Gerald William Evans
Publisher: CRC Press
ISBN: 9781498739825
Category : Industrial engineering
Languages : en
Pages : 467
Book Description
This textbook presents methodology 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 presents 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 The section on outranking techniques discusses; the group of techniques, which is popular in Europe, but is very rarely mentioned as a methodology for MCDA in the USUnited States . A chapter on simulation as a useful tool for MCDA, including ranking & and selection procedures. Such material which is rarely covered in courses in decision analysis . Both material review questions and problems at the end of each chapter the . Solutions solutionscan b are provided e found in the solutions Solutions manual Manual which will be provided along with PowerPoint slides for each chapter. The methodology is ies 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, etcand so on. Specifically, industrial engineering problems are structured as classical problems in multiple criteria decision analysis, and the relevant methodologies are demonstrated."

Multiple Criteria Decision Analysis for Industrial Engineering

Multiple Criteria Decision Analysis for Industrial Engineering PDF Author: Gerald William Evans
Publisher: CRC Press
ISBN: 1498739830
Category : Technology & Engineering
Languages : en
Pages : 445
Book Description
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.

Multiple Criteria Decision Analysis for Industrial Engineering

Multiple Criteria Decision Analysis for Industrial Engineering PDF Author: Gerald W. Evans
Publisher:
ISBN: 9781498739863
Category : Industrial engineering
Languages : en
Pages :
Book Description


Application of Multi-Criteria Decision Analysis in Environmental and Civil Engineering

Application of Multi-Criteria Decision Analysis in Environmental and Civil Engineering PDF Author: Dilber Uzun Ozsahin
Publisher: Springer Nature
ISBN: 303064765X
Category : Technology & Engineering
Languages : en
Pages : 209
Book Description
The use of a multi-criteria, decision-making theory was first studied in the 1970s. Its application in civil and environmental engineering is a new approach which can be enormously helpful for manufacturing companies, students, managers, engineers, etc. The purpose of this book is to provide a resource for students and researchers that includes current application of a multi-criteria, decision-making theory in various fields such as: environment, healthcare and engineering. In addition, practical application are shown for students manually. In real life problems there are many critical parameters (criteria) that can directly or indirectly affect the consequences of different decisions. Application of a multi-criteria, decision-making theory is basically the use of computational methods that incorporate several criteria and order of preference in evaluating and selecting the best option among many alternatives based on the desired outcome.

Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models PDF Author: Ramakrishnan Ramanathan
Publisher: CRC Press
ISBN: 1498753752
Category : Computers
Languages : en
Pages : 370
Book Description
Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.

Multiple Criteria Decision Making Applications in Environmentally Conscious Manufacturing and Product Recovery

Multiple Criteria Decision Making Applications in Environmentally Conscious Manufacturing and Product Recovery PDF Author: Surendra M. Gupta
Publisher: CRC Press
ISBN: 1351645617
Category : Business & Economics
Languages : en
Pages : 173
Book Description
In order to ensure environmentally responsible production and disposal of products, local governments are imposing stricter environmental regulations, some of which even require manufacturers to take back their products at the end of the product's useful life. These government regulations, together with increasing environmental awareness, have forced manufacturers to invest in environment-conscious manufacturing. The multiple Criteria Decision Making Techniques presented in this book can be employed to solve the problems of environment-conscious manufacturers in product design, logistics, disassembly and remanufacturing.

Multiple Criteria Decision Analysis: State of the Art Surveys

Multiple Criteria Decision Analysis: State of the Art Surveys PDF Author: Salvatore Greco
Publisher: Springer Science & Business Media
ISBN: 0387230815
Category : Business & Economics
Languages : en
Pages : 1048
Book Description
Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis PDF Author: Xiaolu Zhang
Publisher: Springer
ISBN: 3319420011
Category : Technology & Engineering
Languages : en
Pages : 191
Book Description
The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.

Multicriteria Decision Making

Multicriteria Decision Making PDF Author: Tomas Gal
Publisher: Springer Science & Business Media
ISBN: 1461550254
Category : Business & Economics
Languages : en
Pages : 538
Book Description
At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together `state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.

Multi-Criteria Decision Analysis in Management

Multi-Criteria Decision Analysis in Management PDF Author: Behl, Abhishek
Publisher: IGI Global
ISBN: 1799822184
Category : Business & Economics
Languages : en
Pages : 422
Book Description
Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.