10.2.2 Individual decision-making skills -- 10.2.3 Group decision-making skills -- 10.2.4 Organizational-level attributes -- 10.3 Case studies to explore in teams -- 10.4 Case A: The team that wasn't -- 10.4.1 Background -- 10.4.2 Grand challenge -- 10.5 Case B: Disruptive innovation at Tonowanda -- 10.5.1 Background -- 10.5.2 Grand challenge -- 10.6 Case C: Die Cast Testing -- 10.6.1 Background -- 10.6.2 Grand challenge -- 10.7 Case D: Welcome to FR4 -- 10.7.1 Background -- 10.7.2 Grand challenge -- A: Problems and Problem-Solving -- A.1 Design process analogy -- A.2 Two basic categories of problems -- A.3 Organizational form -- A.4 Problem solution outcomes -- B: Mechanics of Accounting -- B.1 Learning objectives -- B.2 Accounting to support financial statements -- B.2.1 T-accounts -- B.2.2 Chart of accounts -- B.2.3 General journal -- B.2.4 General ledger -- B.2.5 Adjusting entries -- B.3 Problems to explore -- C: Reference Tables -- D: Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W

Engineering Economics: Financial Decision Making for Engineers¿ is designed for teaching a course on engineering economics to match engineering practice today. It recognizes the role of the engineer as a decision maker who has to make and defend sensible decisions. Such decisions must not only take into account a correct assessment of costs and benefits, they must also reflect an understanding of the environment in which the decisions are made. The 5th edition has new material on project management in order to adhere to the CEAB guidelines as well the new edition will have a new spreadsheet feature throughout the text.

With flair and an originality of approach, Crundwell brings his considerable experience to bear on this crucial topic. Uniquely, this book discusses the technical and financial aspects of decision-making in engineering and demonstrates these through case studies. It’s a hugely important matter as, of course, engineering solutions and financial decisions are intimately tied together. The best engineers combine the technical and financial cases in determining new solutions to opportunities, challenges and problems. To get your project approved, no matter the size of it, the financial case must be clear and compelling. This book provides a framework for engineers and scientists to undertake financial evaluations and assessments of engineering or production projects.

Practical Financial Optimization is a comprehensive guide to optimization techniques in financial decision making. This book illuminates the relationship between theory and practice, providing the readers with solid foundational knowledge. Focuses on classical static mean-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between classes of models Analyizes real world applications and implications for financial engineers Includes a list of models and a section on notations that includes a glossary of symbols and abbreviations

Understanding finance and accounting principles is important in interfacing and conducting business with accountants, financial analysts, and members of upper management. In a relatively simple and easy-to-understand manner, this book familiarizes professionals with decision making skills founded on financial calculations and quantitative analysis. It covers finance and accounting ratios and other metrics; income statements, balance sheets, cash flow, and working capital concepts; inventory concepts; life cycle, period, direct, and indirect costs; and energy performance contracting. Each chapter concludes with a list of questions or problems for self-assessment and knowledge affirmation purposes. Answers to the questions are at the back of the book.

Economic and Financial Analysis for Engineering and Project Management is for engineers and others who must analyze the financial and economic ramifications of producing and sustaining capital projects. Unlike other books in the field, it offers straightforward and lucid explanations of all main formulas needed to carry out financial analyses. The

IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.