Making the Scenarios of knowledge management component effects on supply chain with system dynamics approach

Subject Areas : Futurology

elham elmi ¹ , adel azar ² , farhad ghaffari ³

1 - PhD Student, Department of Industrial Management, Faculty of Economics and Management, Research Sciences Branch, Islamic Azad University, Tehran, Iran
2 - Adel Azar, Professor, Department of Industrial Management, Tarbiat Modares University, Tehran, Iran
3 - Associate Professor, Department of Economics, Faculty of Economics and Management, Research Sciences Branch, Islamic Azad University, Tehran, Iran

Received: 2021-06-14 Accepted : 2021-07-18 Published : 2021-07-23

Keywords: System Dynamics, Production management, Supply chain, Optimization, knowledge management,

Abstract :

Background: In advanced organizations, managers' decisions and policies along the supply chain require the use of knowledge management. One of the most important decisions to be made in the supply chain is the production planning, that it’s management needs provident decisions and designing new capacities with a comprehensive and continuous approach, and it’s not achievable through a static approach. Objective: This study seeks to provide a dynamic model to investigate the impact of possible knowledge management scenarios on the components of the oil supply chain in the framework of systems thinking. Methods: Current study based on purpose ,is an applied research and based on data character is a quantitative and qualitative and based on data acquisition that is a casual-analytical research. This research is studied in a petrochemical products production company in a 20 years period .And thanks to questionnaire and expert validation ,first basic variables detected and their relations compiled in casual loops, then basic model completed by flow accumulation diagram and simulated by vensim software. Findings: The proposed scenarios evaluate the effects of knowledge management variables on production rate and reduction of wastage rate. Conclusion: This model has succeeded in increasing the production rate and reducing the waste rate in the supply chain by providing appropriate outputs and utilizing knowledge management components. Also, validation tests and sensitivity analysis performed on the model show its validity.