The revised edition offers an in-depth exploration of challenges encountered by developers of complex products and process management, now featuring six new chapters. It emphasizes a Systems Engineering approach, providing additional tools to effectively manage risks associated with delays and budget overruns. The focus is on ensuring that the final product meets customer needs, enhancing both efficiency and project outcomes.
This is a comprehensive book on how to make complex decisions on energy systems problems involving different technologies, environmental effects, costs, benefits, risks, and safety issues. Using Industrial and Systems Engineering techniques for decision-making in Energy Systems, the book provides the background knowledge and methods to incorporate multiple criteria involved in solving energy system problems. It offers methods, examples, and case studies illustrating applications. Decision-Making in Energy Systems discusses subjective as well as objective methods, approaches, and techniques taken from the systems and industrial engineering domain and puts them to use in solving energy systems problems. It uses an integrated approach by including effects of all technical, economic, environmental, and safety considerations as well as costs and risks. The book is specially designed for practicing engineers from industrial/systems engineering who work in energy systems engineering industries. Aimed at graduate students, researchers, and managers involved in various energy generating, distributing, and consuming companies, the book helps the reader to understand, evaluate, and decide on solutions to their energy-related problems.
1 Introduction to adverse drug reactions 2 Introduction to pharmacovigilance 3 National and International scenario 4 Basic Terminologies used in pharmacovigilance 5 Information resources in pharmacovigilance 6 Establishing pharmacovigilance programme 7 Pharmacovigilance methods 8 Adverse drug reaction reporting 9 Signal detection risk assessment and management 10 Drug and disease classification