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003			ES-MaUEC
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008			151012s2016 gw | s |||| 0|eng d
020			_a9783319217178
040			_aES-MaUEC
050		4	_aQA76.9.M35 _bS355 2016
082	0	4	_a620
100	1		_aSchlick, Christopher Marc _997240
245	1	0	_aProduct Development Projects : _bDynamics and Emergent Complexity _cby Christopher Schlick, Bruno Demissie
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (VIII, 365 páginas) _b56 ilustraciones, 50 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aUnderstanding Complex Systems _x1860-0832
505	0		_aIntroduction -- Mathematical Models of Cooperative Work in Product Development Projects -- Evaluation of Complexity in product development -- model-driven Evaluation of the Emergent Complexity of Cooperative Work based on Effective Measure Complexity -- Validity Analysis of Selected Closed-Form Solutions for Effective Measure Complexity -- Conclusions and Outlook.
520	3		_aThis book primarily explores two topics: the representation of simultaneous, cooperative work processes in product development projects with the help of statistical models, and the assessment of their emergent complexity using a metric from theoretical physics (Effective Measure Complexity, EMC). It is intended to promote more effective management of development projects by shifting the focus from the structural complexity of the product being developed to the dynamic complexity of the development processes involved. The book is divided into four main parts, the first of which provides an introduction to vector autoregression models, periodic vector autoregression models and linear dynamical systems for modeling cooperative work in product development projects. The second part presents theoretical approaches for assessing complexity in the product development environment, while the third highlights and explains closed-form solutions for the complexity metric EMC for vector autoregression models and linear dynamical systems. Lastly, part four validates the models and methods using a case study from the industry, together with several Monte Carlo experiments. Presenting a truly unique, integrated treatment of statistical approaches for modeling simultaneous, cooperative work processes in product development projects and assessing their complexity, the book offers a valuable resource for researchers in Industrial Engineering, Engineering Management and Project Management, as well as Project Managers seeking to model and evaluate their own development projects.
650	0	7	_aInvestigación operativa _2embne _9138674
650	0	7	_aIngeniería _2embne _9670301
700	1		_aDemissie, Bruno _997241 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-21717-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319217178
907			_a.b12940653 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQA76.9.M35 S355 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11585080 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0