Management Science provides a comprehensive, accessible overview of the subject, incorporating a broad set of approaches and tools. The authors explore both 'soft' and 'hard' methodologies and highlight conceptual aspects rather than the mathematics of the techniques or computer methods. The book is therefore suitable for students and readers with a wide range of mathematical abilities at both the undergraduate and MBA level.
The book bases management science within a clear systems thinking framework. Ideas and concepts are demonstrated with real-life examples and case studies. Readers are shown how decision making over time, under uncertainty, and subject to constraints, multiple objectives, and value and perception conflicts can be modelled, all within this system thinking framework.
The second edition of Management Science offers:
- An emphasis on problem formulation, indicating how management science and operational research techniques fit into the wider problem-solving process
- Revised chapters on queuing, simulation, and problem structuring methods
- updated coverage of forecasting, linear and integer programming
- New sections on the role of management science consultants
- Improved pedagogy, navigation and design
- Up-to-date coverage of software
- Real-world case studies, encouraging the reader to apply the concepts studied
Accompanying online resources for this title can be found at bloomsburyonlineresources.com/management-science-2e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
"Sinopsis" puede pertenecer a otra edición de este libro.
HANS DAELLENBACH taught at the Universities of California and Washington before joining the University of Canterbury, Christchurch, New Zealand, where he introduced Operations Research as a separate discipline.
DONALD McNICKLE is a Senior Lecturer in the Department of Management at the University of Canterbury, Christchurch, New Zealand.
SHANE DYE is a Senior Lecturer in Management Science at the University of Canterbury, Christchurch, New Zealand.
Management Science provides a comprehensive, accessible overview of the subject, incorporating a broad set of approaches and tools. The authors explore both 'soft' and 'hard' methodologies and highlight conceptual aspects rather than the mathematics of the techniques or computer methods. The book is therefore suitable for students and readers with a wide range of mathematical abilities at both the undergraduate and MBA level.
The book bases management science within a clear systems thinking framework. Ideas and concepts are demonstrated with real-life examples and case studies. Readers are shown how decision making over time, under uncertainty, and subject to constraints, multiple objectives, and value and perception conflicts can be modelled, all within this system thinking framework. The second edition of Management Science offers:"Sobre este título" puede pertenecer a otra edición de este libro.
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Condición: New. Written for a wide range of mathematical abilities this book emphasizes the conceptual aspects of decision-making rather than mathematical techniques or computer methods. It shows how hard 'OR' incorporates basic systems into its modelling process - then suggests how models incorporate the ambiguities of real world decision-making. Num Pages: 608 pages, biography. BIC Classification: KJMD; KJQ. Category: (U) Tertiary Education (US: College). Dimension: 242 x 189 x 32. Weight in Grams: 1142. . 2012. 2 Rev ed. Paperback. . . . . Nº de ref. del artículo: V9780230316478
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Thorough overview of soft and hard approachesEmphasis on problem formulation, demonstrating how OR/MS techniques fit into wider problemsolving processPractical guidelinesRealworld case illustrations demonstrating theory in practiceIncorporat. Nº de ref. del artículo: 458411391
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Condición: New. Written for a wide range of mathematical abilities this book emphasizes the conceptual aspects of decision-making rather than mathematical techniques or computer methods. It shows how hard 'OR' incorporates basic systems into its modelling process - then suggests how models incorporate the ambiguities of real world decision-making. Num Pages: 608 pages, biography. BIC Classification: KJMD; KJQ. Category: (U) Tertiary Education (US: College). Dimension: 242 x 189 x 32. Weight in Grams: 1142. . 2012. 2 Rev ed. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9780230316478
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