Rice Supply Chain Performance Measurement Model Using Supply Chain Operational Reference and Data Envelopment Analysis Methods at PT XYZ
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During the covid-19 pandemic, consumer demand for product quality on production accuracy and product availability at PT XYZ has increased. Because demand from consumers is fluctuating but the company cannot meet this demand. One way to maximize supply chain performance assessment is to evaluate the performance measurement of supply chain management using the SCOR and DEA methods and assisted by LINDO 6.1 software. The results of the research, risk identification carried out using the SCOR method with five activities, namely plan, source, make, deliver, and return, obtained 22 risks that occur in the company's supply chain, each of which is divided into: 4 risks that occur in the plan activity, 9 risks that occur in the source activity, 4 risks that occur in the make activity, 3 risks that occur in the deliver activity, and 2 risks that occur in the return activity. And from data processing with the DEA method shows that the rice product that is the target of improvement is FSN Setra Wangi 5 kg (FPW017) obtained 0.8348271 or < 1 with the variable that is the target of improvement is plan. Further research is recommended to be developed by adding benchmarking so that the application of the SCOR model can be carried out more completely. Then DEA calculations with more specific parameters so as to produce better data on each supply chain process.
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