Supply Chain Framework at the Rubber Company with a Profit Sharing approach in ensuring Material Availability

1st International Conference on Industrial and Manufacturing Engineering

工业技术（总论）;机械制造

Sembiring, Meilita Tryana^1 ; Budiman, Irwan^1 ; Sembiring, Anita Christine^2 ; Indra, Evta^3 ; Sitanggang, Delima^3 ; Wahyuni, Dini^4 ; Nasution, Harmein^1 ; Chen, Andree^2

Magister of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara, Indonesia^1

Industrial Engineering Department, Faculty of Technology and Computer Sciences, Universitas Prima Indonesia, Indonesia^2

Information System Department, Faculty of Technology and Computer Sciences, Universitas Prima Indonesia, Indonesia^3

Doctoral Programme of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara, Indonesia^4

关键词: Competitive advantage;    Material availability;    Process efficiency;    Processing time;    Profit sharing;    Quantitative data;    Reduction method;    Rubber material;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/505/1/012009/pdf
DOI  :  10.1088/1757-899X/505/1/012009

学科分类：工业工程学

来源: IOP

【 摘 要 】

This research was conducted in rubber factory in Indonesia. Today, businesses need a more efficient supply chain that is able to resolve complex challenges in the present. This research is aimed at increasing the company's competitive advantage by designing supply chain framework with profit sharing system to ensure material availability. This research is conducted by using data reduction method in determining quantitative data for input Stream Value Mapping and Supply Chain Management. Determination of rubber material purchase price is done by using the average trend of rubber price so that the purchase of rubber material is done flat. In order to create trusts in the supply chain, profit-sharing systems are used so that suppliers will supply the right, consistent quantity, quality, and timing of delivery. The results obtained supply chain frameworks are better able to ensure process efficiency and material availability. If applied, this framework will save up to 29.17% processing time.