Examples: Cumulative Frequency Curve  

Purchasing Information System:

You want to check the distribution of the over the materials. You perform a material analysis and select the key figure ‘order quantity’. The list shows the selected materials and the key figure ‘Order quantity’. You generate a cumulative frequency curve for this list.

This graphic could provide you with the following information: 10% of all materials makes up 65% of the cumulated order quantity, that is, in this case, relatively few materials have a relatively large proportion of the order quantity.

Sales Information System:

You want to find out how the invoiced sales are distributed over the customers. You perform a customer analysis and select the key figure ‘Invoiced sales’. The list shows the selected customers and the key figure ’Invoiced sales’. You create a cumulative frequency curve for this list.

This graphic could provide you with the following information: 5 % of all of the customers make up 30% of the invoiced sales.

Inventory Controlling:

You want to check how the value of the valuated stock is distributed over the materials. You perform a material analysis and select the key figure ‘Valuated stock’. The list shows the selected materials and the key figure ‘Value of valuated stock’. You create a cumulative frequency curve for this list.

This graphic could provide you with the following information: 15% of all materials makes up 50% of the stock value, that is, in this case, relatively few materials make up 50% of the total stock value.

Shop Floor Information System:

You want to check how the utilization of the work centers is distributed. You perform a work center analysis and select the key figure ‘Target lead time’. The list shows the selected work centers and the key figure ‘Target lead time’. You create a cumulative frequency curve for this list.

This graphic could provide you with the following information: 10% of all work centers makes up 60% of the target lead time, that is, in this case, a relatively few number of work centers make up a large proportion of the total target lead time.

Plant Maintenance Information System:

You want to check how the number of recorded notifications is distributed over the PM planning plants. You create a list which shows the planning plants and the key figure ‘Number of recorded notifications’ and perform a cumulative frequency curve for this list.

This graphic could provide you with the following information: 10% of the plants makes up 60% of the notifications, that is, in this case, few plants have a relatively large proportion of the total number of notifications.

Quality Management Information System:

You want to check how the number of lots, that are not in order, is distributed over the materials. You perform a material analysis and select the key figure ‘Lots not in order’. You create a cumulative curve for this list.

This graphic could provide you with the following information: 10% of the materials makes up 60% of the lots not in order, that is, a few materials have a relatively high proportion of the total number of all lots that are not in order.