000 03650nam a22003975i 4500
001 286142
003 MX-SnUAN
005 20160429154446.0
007 cr nn 008mamaa
008 150903s2010 xxu| o |||| 0|eng d
020 _a9781441957719
_99781441957719
024 7 _a10.1007/9781441957719
_2doi
035 _avtls000338480
039 9 _a201509030815
_bVLOAD
_c201404300346
_dVLOAD
_y201402060911
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aHD30.23
100 1 _aJones, Dylan.
_eautor
_9314665
245 1 0 _aPractical Goal Programming /
_cby Dylan Jones, Mehrdad Tamiz.
250 _a1.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _axiv, 238 páginas 82 ilustraciones, 41 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v141
500 _aSpringer eBooks
505 0 _aHistory and Philosophy of Goal Programming -- Goal Programming Variants -- Formulating Goal Programmes -- Advanced Topics in Goal Programming Formulation -- Solving and Analysing Goal Programming Models -- Detection and Restoration of Pareto Inefficiency -- Trend of Integration and Combination of Goal Programming -- Case Study: Application of Goal Programming in Health Care -- Case Study: Application of Goal Programming in Portfolio Selection.
520 _aPractical Goal Programming is intended to allow academics and practitioners to be able to build effective goal programming models, to detail the current state of the art, and to lay the foundation for its future development and continued application to new and varied fields. Suitable as both a text and reference, its nine chapters first provide a brief history, fundamental definitions, and underlying philosophies, and then detail the goal programming variants and define them algebraically. Chapter 3 details the step-by-step formulation of the basic goal programming model, and Chapter 4 explores more advanced modeling issues and highlights some recently proposed extensions. Chapter 5 then details the solution methodologies of goal programming, concentrating on computerized solution by the Excel Solver and LINGO packages for each of the three main variants, and includes a discussion of the viability of the use of specialized goal programming packages. Chapter 6 discusses the linkages between Pareto Efficiency and goal programming. Chapters 3 to 6 are supported by a set of ten exercises, and an Excel spreadsheet giving the basic solution of each example is available at an accompanying website. Chapter 7 details the current state of the art in terms of the integration of goal programming with other techniques, and the text concludes with two case studies which were chosen to demonstrate the application of goal programming in practice and to illustrate the principles developed in Chapters 1 to 7. Chapter 8 details an application in healthcare, and Chapter 9 describes applications in portfolio selection.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aTamiz, Mehrdad.
_eautor
_9314666
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781441957702
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-5771-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c286142
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