Analyzing the Manual and Automated Assembly Line Using System Dynamics (SD) Approach

Journal of Systems Thinking in Practice

دوره 2، شماره 1 - شماره پیاپی 4، خرداد 2023، صفحه 1-27   

نوع مقاله: Research Article

شناسه دیجیتال (DOI): 10.22067/jstinp.2023.78113.1017

نویسندگان

Nima Pasha¹؛ Masood Rabieh^{* 2}؛ Gholamreza Eslamifar³؛ Seyed Hossein Razavi Hajiagha⁴

¹Department of Industrial Management, University of Tehran, Kish International Campus, Tehran, Iran.

²Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran.

³Department of Public Policy, Faculty of Management, University of Tehran, Tehran, Iran.

⁴Department of Management, Faculty of Management and Financial, Khatam University, Tehran, Iran., Tehran, Iran.

چکیده

Improving the responsiveness to customers’ orders is the goal of this research. Balancing the manual and automated production lines using proper equipment is crucial for the case study to reduce production costs and increase the quantity. The main problem in this research is responding to orders and demand using the proper equipment and machines in the production line. Using automated equipment can improve productivity and responses, but using advanced technology is not necessarily effective and should be organized in proportion to demands. As in this case study, there are complex cause-and-effects relations; using System Dynamics is very effective. Different productivity factors, delays, orders, etc., are considered to determine the proper production method and equipment in the long term. After that, behavioral reproduction and extreme condition testing validate the model and compare the automated production line equipment percentage usage. According to the volume of orders, the optimum case is suggested. Then, different scenarios related to customer volume are analysed, and finally, the policies are examined. As the simulation results in current conditions and market forecasting indicate, 67.2% of production line equipment should be automated. Any customer order changes can increase or decrease the results, which should be calculated accurately. Considering all the influential factors, the presented model helps the production managers have the best policy for choosing the production method. Using this method, considering some changes in the variables can be used in different industries as optimizing the production line equipment is the main key finding of this research.

کلیدواژه‌ها

Manufacturing Technology؛ Master Production؛ Assembly Line؛ Systems Dynamic؛ Stock and Flow Diagram

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