Research Article | OPEN ACCESS
Measuring the Value-added of Oil Palm Products with Integrating SCOR Model and Discrete Event Simulation
1Fitra Lestari, 1Kamariah Ismail, 1Abu Bakar Abdul Hamid and 2Wahyudi Sutupo
1Faculty of Management, Universiti Teknologi Malaysia, Malaysia
2Department of Industrial Engineering, Sebelas Maret University, Indonesia
Research Journal of Applied Sciences, Engineering and Technology 2014 10:1244-1249
Received: April 12, 2014 | Accepted: August 27, 2014 | Published: September 15, 2014
Abstract
Oil palm processing industry in Malaysia can directly distribute the finished products in exporting without considering the transformation value of the product to the end customer. Nevertheless, it influences the configuration of the supply chain strategy. The purpose of this study measures the performance of supply chain configuration in oil palm business. The model use tools for measuring supply chain configuration with integrating SCOR models and discrete event simulation. Finding of this study revealed that the highest value-added of oil palm derivative product is scenario 5 which it proposes 100% CPO and CPKO deliver to the local refinery without distributing to the export and its finished products are distributed to the export through the port. Finally, it gives consideration to the stakeholders in controlling the system and then makes sure the business process keeps running on the track.
Keywords:
Discrete event simulation, oil palm industry , SCOR model, supply chain configuration,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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