Decision And Decision Maker In An Industrial Environment

Decision and Decision-maker in an Industrial Environment developed around the observation that two different decision-makers, faced with the same problem, may not make the same decision. The book proposes explanations for this, ranging from the wholly rational to the irrational, and analyzes different factors in decision-making, such as the intention of the decision-maker, the environment in which their decision is made or the process leading to decision-making. While the common belief is that everything in an industrial environment stems from reasoned decisions, analysis of common practice shows that this is not always the case. This book offers an original perspective by presenting the decision making mechanism from the point of view of the decision maker and their handling of a specific decision-making problem. To learn more about the decision-maker’s motivations when faced with these situations, the authors provide a review of the history of decisionmaking and the major trends in decision-making theory. The concepts and methods are presented with illustrations based on the use of an MES, an industrial management software package.

Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.

Decision and Decision-maker in an Industrial Environment developed around the observation that two different decision-makers, faced with the same problem, may not make the same decision. The book proposes explanations for this, ranging from the wholly rational to the irrational, and analyzes different factors in decision-making, such as the intention of the decision-maker, the environment in which their decision is made or the process leading to decision-making. While the common belief is that everything in an industrial environment stems from reasoned decisions, analysis of common practice shows that this is not always the case. This book offers an original perspective by presenting the decision making mechanism from the point of view of the decision maker and their handling of a specific decision-making problem. To learn more about the decision-maker’s motivations when faced with these situations, the authors provide a review of the history of decisionmaking and the major trends in decision-making theory. The concepts and methods are presented with illustrations based on the use of an MES, an industrial management software package.

Multi-criteria decision-making (MCDM) has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.This new volume applies the MCDM theory to solving problems and challenges in manufacturing environments. It discusses using MCDM computational methods to evaluate and select the most optimal solution or method for real-world, real-time manufacutring engineering issues. It details the decision-making process in relation materials selection; identification, assessment, and evaluation of risk; sustainability assessment; selection of green suppliers; and more. The chapter authors demonstrate the application of myriad MCDM techniques in decision-making, including MADM (multiple attribute decision-making), DEA (data envelopment analysis), fuzzy TOPSIS (technique for order preference by similarities to ideal solution), fuzzy-VIKOR (multicriteria optimization and compromise solution); MOORA (multi-objective optimization on the basis of ratio analysis), EWM (entropy weight method), (AHP) analytic hierarchy process, TODIM (TOmada de Decisao Interativa Multicriterio), and others. The volume illustrates these MCDM models in several industries and industrial processes, including for experimental analysis and optimization of drilling of glass fiber reinforced plastic, in the textile industries, for selection of refrigerants for domestic applications, and others.

This book explores the challenges that confront leaders in government and industry when making decisions in the areas of environmental health and safety. Today, decision making demands transparency, robustness, and resiliency. However thoughtfully they are devised, decisions made by governments and enterprises can often trigger immediate, passionate public response. Expertise Under Scrutiny shows how leaders can establish organizational decision making processes that yield valid, workable choices even in fast-changing and uncertain conditions. The first part of the book examines the organizational decision making process, describing the often-contentious environment in which important environmental health and safety decisions are made, and received. The authors review the roles of actors and experts in the decision making process. The book goes on to address such topics as: · The roles of actors and experts in the decision making process · Ethics and analytics as drivers of good decisions · Why managing problems in safety, security, environment, and health Part II offers an outline for adopting a formal decision support structure, including the use of decision support tools. It includes a chapter devoted to ELECTRE (ELimination and Choice Expressing Reality), a multi-criteria decision analysis system. The book concludes with an insightful appraisal and analysis of the expertise, structure and resources needed for navigating well-supported, risk-informed decisions in our 21st Century world. Expertise Under Scrutiny benefits a broad audience of students, academics, researchers, and working professionals in management and related disciplines, especially in the field of environmental health and safety.

This book shows how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be used in manufacturing. It proposes a methodology that will make decision making in the manufacturing environment structured and systematic. The book uses case studies to present the applications of decision making methods in real manufacturing situations.

Employees are constantly making decisions and judgments that have the potential to affect themselves, their families, their work organizations, and on some occasion even the broader societies in which they live. A few examples include: deciding which job applicant to hire, setting a production goal, judging one’s level of job satisfaction, deciding to steal from the cash register, agreeing to help organize the company’s holiday party, forecasting corporate tax rates two years later, deciding to report a coworker for sexual harassment, and predicting the level of risk inherent in a new business venture. In other words, a great many topics of interest to organizational researchers ultimately reduce to decisions made by employees. Yet, numerous entreaties notwithstanding, industrial and organizational psychologists typically have not incorporated a judgment and decision-making perspective in their research. The current book begins to remedy the situation by facilitating cross-pollination between the disciplines of organizational psychology and decision-making. The book describes both laboratory and more “naturalistic” field research on judgment and decision-making, and applies it to core topics of interest to industrial and organizational psychologists: performance appraisal, employee selection, individual differences, goals, leadership, teams, and stress, among others. The book also suggests ways in which industrial and organizational psychology research can benefit the discipline of judgment and decision-making. The authors of the chapters in this book conduct research at the intersection of organizational psychology and decision-making, and consequently are uniquely positioned to bridging the divide between the two disciplines.

With the growing number, complexity, and importance of environmental problems come demands to include a full range of intellectual disciplines and scholarly traditions to help define and eventually manage such problems more effectively. Decision Making for the Environment: Social and Behavioral Science Research Priorities is the result of a 2-year effort by 12 social and behavioral scientists, scholars, and practitioners. The report sets research priorities for the social and behavioral sciences as they relate to several different kinds of environmental problems.