Providing a comprehensive overview of various methods and applications in decision engineering, this book presents chapters written by a range experts in the field. It presents conceptual aspects of decision support applications in various areas including finance, vendor selection, construction, process management, water management and energy, agribusiness , production scheduling and control, and waste management. In addition to this, a special focus is given to methods of multi-criteria decision analysis. Decision making in organizations is a recurrent theme and is essential for business continuity. Managers from various fields including public, private, industrial, trading or service sectors are required to make decisions. Consequently managers need the support of these structured methods in order to engage in effective decision making. This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analysis. It is also intended for production engineers, civil engineers and engineering consultants.J Inf Sci Eng 22(3):573a594 Coffman JY (1986) The proper role of tree analysis in forecasting the risk behavior of ... Lecture notes in computer science, Artificial neural networksa ICANN Lai KL, He K, Yen J (2007) Modeling VaR in crude oil market: a ... the NYSE composite index with technical analysis, pattern recognizer , neural networks, and genetic algorithm: a case study in romantic decision support.
|Title||:||Decision Models in Engineering and Management|
|Publisher||:||Springer - 2015-01-05|