Principles for dynamic modeling in a complex world

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How organizations should use system dynamics to solve problems in a real world

Systems thinking and modeling is a vital method to gain useful insights into complex situations with policy resistance. The usage of system dynamics is a sophisticated approach for effective decision making and learning. Principles for effective dynamic modeling are described below:

-After a detailed problem definition should be reconsidered if system dynamics is the proper tool for problem solving. 

-Dynamic model should have a clear purpose and should solve a specific problem.

-Dynamic modeling should enable realistic planning and implementation deadlines as per client requirements without delays.

-Modeling process should be aligned with organization policies and procedures, resulting a diagnosis into organization structure and culture.

-Enable experts, analysts and top management as organization designers to reassure that a modelling process leads to greater success, with respect to management policies and organizational structure.

-Modeling process should be validated based on continuous improvement cycle and be enriched as per client feedback or other accelerating changes.

-Keep limited information to conceptual model prior the development of simulation model

-Focus on subsystems/components interaction instead of representing detailed information

-Effective modelling requires a suite of integrated tools and methods for problem solving

-Dynamic models are operate best through an iterative long term process of personal, organizational and social change.

Source: www.systemantis.com

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