Cranberry: Network Performance and Weighted Average Wait
National Cranberry Cooperative
2. The resource with least capacity determines the maximum long-term achievable throughput rate. Because wet and dry berries follow different routes at RP#1 there will be a maximum achievable throughput for each. The capacity of the dryers is the bottleneck for the wet berries. The maximum throughput for wet berries is 600 bbls/hr. For dry berries the separation process is the bottleneck. The maximum throughput for dry berries is 1200 bbls/hr.
The percentage of wet berries to dry berries would affect the throughput rate. Given the current proportion of berries received the capacity of the dryers would be the maximum throughput of the system. The dryers are the system bottleneck. And as the trend of water harvesting continues, this situation worsens. All the process/resources at RP#1 contribute to the throughput but the limitation is the bottleneck.
3. The trucks wait because the processing capacity is less than the system input. And the temporary holding bins are inadequate to buffer the berries coming in and the plants processing capacity. But by using the Theory of Constraints to identify the system bottle necks we are able to discover the root cause of the waits. The large back log of berries is caused by several factors
The plant is not currently equipped to handle the supply of wet berries. This problem has likely been increasing over the years as more cranberries are being wet-harvested. This problem is evident in the lack of web berry temporary storage and inadequate berry drying capacity. These bottlenecks are slowing the entire system.
The demand for and production of cranberries is uneven. The seasonal nature of cranberry harvesting creates a need for a flexible system that can utilize full capacity in harvesting season and minimize loss from excess capacity during off season. NCC current system at Receiving Plan #1 is not meeting the input levels. NCC has two immediate options: increase the temporary
2. The resource with least capacity determines the maximum long-term achievable throughput rate. Because wet and dry berries follow different routes at RP#1 there will be a maximum achievable throughput for each. The capacity of the dryers is the bottleneck for the wet berries. The maximum throughput for wet berries is 600 bbls/hr. For dry berries the separation process is the bottleneck. The maximum throughput for dry berries is 1200 bbls/hr.
The percentage of wet berries to dry berries would affect the throughput rate. Given the current proportion of berries received the capacity of the dryers would be the maximum throughput of the system. The dryers are the system bottleneck. And as the trend of water harvesting continues, this situation worsens. All the process/resources at RP#1 contribute to the throughput but the limitation is the bottleneck.
3. The trucks wait because the processing capacity is less than the system input. And the temporary holding bins are inadequate to buffer the berries coming in and the plants processing capacity. But by using the Theory of Constraints to identify the system bottle necks we are able to discover the root cause of the waits. The large back log of berries is caused by several factors
The plant is not currently equipped to handle the supply of wet berries. This problem has likely been increasing over the years as more cranberries are being wet-harvested. This problem is evident in the lack of web berry temporary storage and inadequate berry drying capacity. These bottlenecks are slowing the entire system.
The demand for and production of cranberries is uneven. The seasonal nature of cranberry harvesting creates a need for a flexible system that can utilize full capacity in harvesting season and minimize loss from excess capacity during off season. NCC current system at Receiving Plan #1 is not meeting the input levels. NCC has two immediate options: increase the temporary