Analysis of Simulation in Supply Chain Management Based on System Dynamics and SCOR Model (a Case Study : Newspaper Industry)

DOI

10.2991/icoemis-19.2019.30How to use a DOI?

Keywords

SCOR, System Dynamic, Performance, Newspaper Industry

Abstract

Supply Chain Management is a relationship between related components in a company. The relationship between the complex components of supply chain needs to be measured and evaluate the performance so it can be increased by effectively and the company can run the business properly. Case studies conducted in newspaper industry, supply chain cycle in the newspaper industry is less than 24 hours. In this research use simulation to supports making desicion through analyzing the system of the supply chain. The newspaper supply chain was simulated using the system dynamics software. SCOR model used as a tool to speed up the simulation modelling of supply chain. This research was conducted to make the model simulation of performance measurement in newspaper industry started in 2019 to 2022. The final results obtained for the Reliability attributes associated with Perfect Order Fulfillment is 99,59%. Responsiveness attributes associated with the Order Fulfillment Cycle Time about 3.3 hours from the target 4 hours. The Cost attributes was about 80.81% refers from total of material, production, and transportation cost divided by the sales. Agility attributes of upside flexibility about 3.3 hours and upside adaptability about 120.22% by the capacity of the machine. Assets Management attributes with cash to cash cycle time is about 27 days.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yasmine Arsyifa
AU  - Yuniaristanto
AU  - I Suletra
AU  - Wahyudi Sutopo
PY  - 2019/11
DA  - 2019/11
TI  - Analysis of Simulation in Supply Chain Management Based on System Dynamics and SCOR Model (a Case Study : Newspaper Industry)
BT  - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
PB  - Atlantis Press
SP  - 212
EP  - 219
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoemis-19.2019.30
DO  - 10.2991/icoemis-19.2019.30
ID  - Arsyifa2019/11
ER  -