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.
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.