000			02715cam a22003375i 4500
008			141201s2014 nyu 000 0 eng
010			_a 2014958147
020			_a9783319119489
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
245	0	0	_aDecision models in engineering and management _cedited by Patricia Guarnieri
263			_a1412
264		1	_aNew York : _bSpringer Berlin Heidelberg, _cc2015.
300			_axvii, 322 p. : _bill. ; _c25 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
035			_a18390494
500			_aIntroduction -- Stochastic Cash Flow Management Models: A Literature Review since the 1980s -- Decision Models in Credit Risk Management -- A Review on the Dynamic Decision Models for Manufacturing and Supply Chain -- A Multi-criteria Decision Support System for Supplier Selection -- Decision Making Regarding Information Sharing in Partnerships with Suppliers -- Decision Model on Basic Sanitation Management using Environmental Kuznets Curve (EKC) -- The Impact of Environmental Regulation and some Strategies for Improving the Eco-efficiency of Brazilian Agriculture.
520			_aProviding 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.
650		7	_aDecision engineering _2sears
650		7	_aDecision making _xMathematical models _2sears
650		7	_aBusiness & Economics / Industrial Management _2sears
650		7	_aBusiness & Economics _2sears
700			_aGuarnieri, Patricia, _eEdited by
490	1		_aDecision engineering
005			20170126100743.0
001			60455
003			UOWD
942			_cREGULAR
999			_c26464 _d26464