case study2 杨健0120329038 1 To build precise prediction models using big data and RFID technique,in this way,they can find a optimize relation between inventory level and customer demands. 2 They have a positive relationship:the service level is low if inventory level is low,the high services level results from high inventory level. 3 Long lead time can results in low inventory level,because clients are waiting to get their products.The inventory level can be low if there are much lead time variability,such as processing time in the central distribution center,the ocean transit time. 4 First they can build precise mathematic models to predict the customer demands;Second,they should kept the data,in order to make accurate predictions,using big data;Third,they can build several warehouses to store the products,it can reduce the shipping time and can improve the service level
case study2 杨健 0120329038 1 To build precise prediction models using big data and RFID technique, in this way, they can find a optimize relation between inventory level and customer demands. 2 They have a positive relationship: the service level is low if inventory level is low, the high services level results from high inventory level. 3 Long lead time can results in low inventory level, because clients are waiting to get their products. The inventory level can be low if there are much lead time variability, such as processing time in the central distribution center, the ocean transit time. 4 First they can build precise mathematic models to predict the customer demands; Second, they should kept the data, in order to make accurate predictions, using big data; Third, they can build several warehouses to store the products, it can reduce the shipping time and can improve the service level