Modeling of beef supply chain performance measurement information system based SCOR

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Abstract

Performance Measurement Supply chain is a challenge for every fresh meat industry. Providing timely performance reports across all components is very important, considering that performance reports are a benchmark for customer orders. The purpose of this study is to create a performance appraisal information system model using SCOR (Supply Chain Operation Reference) to meet the requirements of customers or industry players along the fresh beef supply chain. This study uses a modeling framework and business process notation (BPMN) based on Rapid Application Development (RAD). This research will integrate this required model process with a cloud-based front-end with SCOR-based database operations connected to mobile and desktop networks. Supply chain performance will be visualized and display the performance measurements' results into graphs, histograms, and line charts.

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Zulkarnaen, I., Siswanto, N., & Vanany, I. (2022). Modeling of beef supply chain performance measurement information system based SCOR. In IOP Conference Series: Earth and Environmental Science (Vol. 1063). Institute of Physics. https://doi.org/10.1088/1755-1315/1063/1/012030

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