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| 049 | _aMAIN | ||
| 245 | 0 | 0 |
_aDiscrete-event simulation and system dynamics for management decision making / _c[edited by] Sally Brailsford, Leonid Churilov, Brian Dangerfield. |
| 264 | 1 |
_aChichester, West Sussex : _bWiley, _c[2014] |
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| 264 | 4 | _c�2014 | |
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 520 |
_a"In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem. This book details each method, comparing each in terms of both theory and their application to various problem situations. It also provides a seamless treatment of various topics--theory, philosophy, detailed mechanics, practical implementation--providing a systematic treatment of the methodologies of DES and SD, which previously have been treated separately."-- _cProvided by publisher |
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| 520 |
_a"Explores the integration of discrete-event simulation (DES) and system dynamics (SD), providing comparisons of each methodology"-- _cProvided by publisher |
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| 504 | _aIncludes bibliographical references and index. | ||
| 588 | 0 | _aPrint version record and CIP data provided by publisher. | |
| 505 | 0 | _aDiscrete-Event Simulation and System Dynamics for Management Decision Making; Contents; Preface; List of contributors; 1 Introduction; 1.1 How this book came about; 1.2 The editors; 1.3 Navigating the book; References; 2 Discrete-event simulation: A primer; 2.1 Introduction; 2.2 An example of a discrete-event simulation: Modelling a hospital theatres process; 2.3 The technical perspective: How DES works; 2.3.1 Time handling in DES; 2.3.2 Random sampling in DES; 2.4 The philosophical perspective: The DES worldview; 2.5 Software for DES; 2.6 Conclusion; References. | |
| 505 | 8 | _a3 Systems thinking and system dynamics: A primer3.1 Introduction; 3.2 Systems thinking; 3.2.1 'Behaviour over time' graphs; 3.2.2 Archetypes; 3.2.3 Principles of influence (or causal loop) diagrams; 3.2.4 From diagrams to behaviour; 3.3 System dynamics; 3.3.1 Principles of stock-.ow diagramming; 3.3.2 Model purpose and model conceptualisation; 3.3.3 Adding auxiliaries, parameters and information links to the spinal stock-flow structure; 3.3.4 Equation writing and dimensional checking; 3.4 Some further important issues in SD modelling; 3.4.1 Use of soft variables; 3.4.2 Co-flows. | |
| 505 | 8 | _a3.4.3 Delays and smoothing functions3.4.4 Model validation; 3.4.5 Optimisation of SD models; 3.4.6 The role of data in SD models; 3.5 Further reading; References; 4 Combining problem structuring methods with simulation: The philosophical and practical challenges; 4.1 Introduction; 4.2 What are problem structuring methods?; 4.3 Multiparadigm multimethodology in management science; 4.3.1 Paradigm incommensurability; 4.3.2 Cultural difficulties; 4.3.3 Cognitive difficulties; 4.3.4 Practical problems; 4.4 Relevant projects and case studies; 4.5 The case study: Evaluating intermediate care. | |
| 505 | 8 | _a4.5.1 The problem situation4.5.2 Soft systems methodology; 4.5.3 Discrete-event simulation modelling; 4.5.4 Multimethodology; 4.6 Discussion; 4.6.1 The multiparadigm multimethodology position and strategy; 4.6.2 The cultural difficulties; 4.6.3 The cognitive difficulties; 4.7 Conclusions; Acknowledgements; References; 5 Philosophical positioning of discrete-event simulation and system dynamics as management science tools for process systems: A critical realist perspective; 5.1 Introduction; 5.2 Ontological and epistemological assumptions of CR; 5.2.1 The stratified CR ontology. | |
| 505 | 8 | _a5.2.2 The abductive mode of reasoning5.3 Process system modelling with SD and DES through the prism of CR scientific positioning; 5.3.1 Lifecycle perspective on SD and DES methods; 5.4 Process system modelling with SD and DES: Trends in and implications for MS; 5.5 Summary and conclusions; References; 6 Theoretical comparison of discrete-event simulation and system dynamics; 6.1 Introduction; 6.2 System dynamics; 6.3 Discrete-event simulation; 6.4 Summary: The basic differences; 6.5 Example: Modelling emergency care in Nottingham; 6.5.1 Background; 6.5.2 The ECOD project. | |
| 590 |
_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks |
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| 650 | 0 |
_aDiscrete-time systems _xSimulation methods. |
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| 650 | 0 | _aSystem analysis. | |
| 650 | 0 | _aDecision making. | |
| 650 | 0 | _aManagement science. | |
| 650 | 6 |
_aSyst�emes �echantillonn�es _xM�ethodes de simulation. |
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| 650 | 6 | _aAnalyse de syst�emes. | |
| 650 | 6 | _aPrise de d�ecision. | |
| 650 | 6 | _aSciences de la gestion. | |
| 650 | 7 |
_asystems analysis. _2aat |
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| 650 | 7 |
_adecision making. _2aat |
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| 650 | 7 |
_aTECHNOLOGY & ENGINEERING _xOperations Research. _2bisacsh |
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| 650 | 7 |
_aDecision making _2fast |
|
| 650 | 7 |
_aManagement science _2fast |
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| 650 | 7 |
_aSystem analysis _2fast |
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| 650 | 7 |
_aSimulering. _2sao |
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| 650 | 7 |
_aSystemanalys. _2sao |
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| 650 | 7 |
_aBeslutsfattande. _2sao |
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| 700 | 1 | _aBrailsford, Sally. | |
| 700 | 1 | _aChurilov, Leonid. | |
| 700 | 1 | _aDangerfield, Brian Thornley. | |
| 758 |
_ihas work: _aDiscrete-event simulation and system dynamics for management decision making (Text) _1https://id.oclc.org/worldcat/entity/E39PCFM3yKFkJVHR7Gk3yQbBGd _4https://id.oclc.org/worldcat/ontology/hasWork |
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_iPrint version: _tDiscrete-event simulation and system dynamics for management decision making. _dChichester, West Sussex : Wiley, [2014] _z9781118349021 _w(DLC) 2013047217 |
| 856 | 4 | 0 | _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781118762745 |
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