Qualitative and Quantitative Modelling
The concept explains the importance of qualitative and quantitative modelling in the field of systems dynamics. It explains the key differences between the two forms of modelling and offers practical advice on how the two forms can be implemented simultaneously for superior outcomes.
Technique Overview
Qualitative and Quantitative Modelling Definition
Qualitative and quantitative modelling are key concepts in system dynamics. Quantitative models are compact representations where a single differential or difference equation may describe the performance of the system for a large set of input functions and initial states (Lunze, 1998). Qualitative models do not require mathematical formulism, but are used to “draw, diagram or represent visually ideas, hunches, perceived patterns or relationships between parts of their projects, discoveries in their data…and so on” (Richards, 1999).
Qualitative and Quantitative Modelling Description *
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Business Evidence
Strengths, weaknesses and examples of Qualitative and Quantitative Modelling *
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Business Application
Implementation, success factors and measures of Qualitative and Quantitative Modelling *
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Professional Tools
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Further Reading
Qualitative and Quantitative Modelling web and print resources *
Qualitative and Quantitative Modelling references (4 of up to 20) *
- Byrne, D. (2002) Interpreting Quantitative Data, Sage, London.
- Kumar, A. and Ozdamar, L. (2004) Business Process Reengineering at the Hospitals: A Case Study at Singapore Hospital, Proceedings of the 18th European Simulation Multiconference, SCS Europe.
- Luna-Reyes, L. F. and Andersen, D. L. (2003) Collecting and Analyzing Qualitative Data for System Dynamics: Methods and Models, System Dynamics Review, Vol. 19 (4), pp. 271-96.
- Lunze, J. (1998) Qualitative Modelling of Dynamical Systems: Motivation, Methods and Prospective Applications, Mathematics and Computers in Simulation, Vol. 46 (5-6), pp. 465-83.
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