Management Science

Decision-making through systems thinking

Hans Daellenbach (University of Canterbury, New Zealand), Donald McNickle, Shane Dye (University of Canterbury, Christchurch)

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English

Palgrave Macmillan
21 December 2012

Economics & Business; Management decision making; Business mathematics & systems

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.

By: Hans Daellenbach (University of Canterbury New Zealand), Donald McNickle, Shane Dye (University of Canterbury, Christchurch)
Imprint: Palgrave Macmillan
Country of Publication: United Kingdom
Edition: 2nd Revised edition
Dimensions: Height: 246mm, Width: 189mm, Spine: 33mm
Weight: 1.134kg
ISBN: 9780230316478
ISBN 10: 0230316476
Pages: 608
Publication Date: 21 December 2012
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Preface Introduction PART I: SYSTEMS AND SYSTEMS THINKING: INTRODUCTION Systems Thinking and Systems Methodology Systems Concepts The Problem Situation System Models and Diagrams PART II: MANAGEMENT SCIENCE METHODOLOGIES: INTRODUCTION Overview of Hard OR Methodology Soft System Thinking Implementation and Code of Ethics PART III: ASSESSING COSTS AND BENEFITS, DEALING WITH TIME Relevant Costs and Benefits Discounted Cash Flows Decision Making Over Time PART IV: HARD MS/OR METHODS Marginal and Incremental Analysis Constrained Decision Making Multiple Constraints Linear Programming Uncertainty Waiting Lines: Stochastic Systems Simulation in Management Science Decision and Risk Analysis Decisions with Multiple Objectives Bibliography Glossary of Technical Terms Index.

HANS DAELLENBACH worked for several years as an operations researcher for Standard Oil of California after gaining his PhD. He 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. He launched the Canterbury MBA Program more than twenty-five years ago, and served as its first director. 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.

Reviews for Management Science: Decision-making through systems thinking

'For those wishing to understand how MS/OR work is really done, Management Science provides an excellent introduction. Instead of assuming that MS/OR is a set of techniques and demonstrating its use on simple artificial problems, this book places MS/OR in the context of real decision-making and the processes by which decisions are made.' - Professor Stewart Robinson, Associate Dean Research, Loughborough University, UK