This update of the successful first edition offers tools and methods for effectively thinking through the consequences of a given action before making major decisions. Managers will not only gain an understanding of effective tools and methodologies for modelling in decision making, but also come to understand how modelling functions alongside intuition, vision, and leadership. This is an invaluable guide to using modelling to explore potential scenarios and make the right business decision.
This update of the successful first edition offers tools and methods for effectively thinking through the consequences of a given action before making major decisions. Managers will not only gain an understanding of effective tools and methodologies for modelling in decision making, but also come to understand how modelling functions alongside intuition, vision, and leadership. This is an invaluable guide to using modelling to explore potential scenarios and make the right business decision.
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Autorenporträt
Michael Pidd is Professor of Management Science in the Management Science Department of Lancaster University Management School. He is author of Tools for Thinking: Modelling in Management Science, now in its second edition, and editor of Systems Modelling: Theory and Practice - both published by John Wiley & Sons. He is a consultant to businesses and the public sector, a former President of the Operational Research Society and is a Research Fellow in the UK's Advanced Institute for Management Research.
Inhaltsangabe
From the contents: Preface Part I: Modelling in Management Science Models as convenient worlds Management science - making sense of strategic vision Problems, problems ... Some principles of modelling Part II: Interpretive Modelling - Soft Management Science. Soft systems methodology Cognitive mapping, SODA and journey making System dynamics Part III: Mathematical and Logical Modelling Optimisation modelling - linear programming Visual interactive modelling - discrete event computer simulation Heuristic search Part IV: Model Assessment and Validation Model assessment and validation Author index Subject index
From the contents: Preface Part I: Modelling in Management Science Models as convenient worlds Management science - making sense of strategic vision Problems, problems ... Some principles of modelling Part II: Interpretive Modelling - Soft Management Science. Soft systems methodology Cognitive mapping, SODA and journey making System dynamics Part III: Mathematical and Logical Modelling Optimisation modelling - linear programming Visual interactive modelling - discrete event computer simulation Heuristic search Part IV: Model Assessment and Validation Model assessment and validation Author index Subject index
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