System and method for calculating an order flowthrough

Abstract

A process that incorporates teachings of the subject disclosure may include, for example, determining exception data associated with exceptions of orders, including data about order fallout of an order flowthrough. Exclusions and exceptions associated with the plurality of orders are determined, wherein the exclusions are order exceptions that do not count against the order flowthrough. The exception data are updated responsive to the exclusions to remove excused order exceptions. Order data is determined that includes the exceptions, and an apportionment is generated of the order exceptions counted against the flowthrough of the orders. A weighted flowthrough count is determined from the apportionment of the order exceptions, and issue tables are created based on one of the exception data, the apportionment of the order exceptions, the weighted count, or combinations thereof. Other embodiments are disclosed.

What is claimed is: 
     
         1 . A system comprising:
 a memory to store executable instructions; and   a processor in communication with the memory, wherein the processor, responsive to executing the instructions, facilitates performance of operations comprising:
 determining exception data associated with order exceptions of a plurality of orders; 
 determining a plurality of exclusions associated with the order exceptions, wherein the plurality of exclusions are the order exceptions that do not count against a flowthrough of the plurality of orders; 
 updating the exception data, to obtain updated exception data, responsive to the plurality of exclusions, to remove excused order exceptions from the exception data; 
 determining order data that includes the excused order exceptions and the updated exception data; 
 generating an apportionment of the order exceptions counted against the flowthrough of the plurality of orders; 
 determining, from the apportionment of the order exceptions, a weighted flowthrough count; and 
 creating issue tables based on one of the exception data, the apportionment of the order exceptions, the weighted count, or combinations thereof. 
   
     
     
         2 . The system of  claim 1 , wherein the operations further comprise:
 updating the issue tables based on the updated exception data, wherein the issue tables show activities that cause order errors; and   outputting the issue tables.   
     
     
         3 . The system of  claim 1 , wherein the operations further comprise calculating a flowthrough impact percentage, wherein the flowthrough impact percentage comprises a calculation of a percentage of flowthrough errors that are caused by a specific error. 
     
     
         4 . The system of  claim 1 , wherein the operations further comprise:
 loading the order data about the plurality of orders; and   loading the exception data for the plurality of orders.   
     
     
         5 . The system of  claim 1 , wherein the operations further comprise receiving order data about the plurality of orders, wherein the order data includes a number of orders that have been completed and a number of orders that have not been completed, and wherein the plurality of exclusions includes one of automated exclusions, manual exclusions or both. 
     
     
         6 . The system of  claim 1 , wherein the operations further comprise:
 deriving summary level data based on the plurality of orders and the updated exception data, wherein the summary level data is affected by one of new orders, the exception data, or the plurality of exclusions;   creating summary tables based on the summary level data; and   providing one of the summary tables, the issue tables or both to a graphical user interface.   
     
     
         7 . The system of  claim 1 , wherein the order data and the exception data are received incrementally. 
     
     
         8 . A method comprising:
 determining, by a system comprising a processor, a plurality of exclusions associated with order exceptions, wherein the plurality of exclusions correspond to a first apportionment of order exceptions that are not counted against a flowthrough of a plurality of orders;   determining, by the system, order exception data associated with the plurality of orders, wherein the exception data includes data about the order exceptions that either are excused or are counted against flowthrough of the plurality of orders;   generating, by the system, a second apportionment of the order exceptions that are counted against the flowthrough of the plurality of orders;   determining, by the system, from one of the first or second apportionments of the order exceptions, a weighted flowthrough count; and   creating, by the system, an issue table based on one of the order exception data, the first or second apportionments of the order exceptions, the weighted count, or combinations thereof.   
     
     
         9 . The method of  claim 8 , further comprising:
 receiving ordering data for the plurality of orders, wherein the ordering data includes new orders, completed orders, canceled orders, pending orders, and order flowthrough information; and   determining, by the system, activities that cause the ordering errors.   
     
     
         10 . The method of  claim 9 , wherein the issue table shows the activities that cause the ordering errors. 
     
     
         11 . The method of  claim 10 , further comprising:
 calculating summary level data based on the plurality of orders and the exception data;   creating summary tables based on the summary level data, wherein the summary level data is affected by the new orders, pending orders, the exception data associated with the plurality of orders, and the plurality of exclusions; and   providing, by the system, one of the summary tables, the issue tables or both to a display device.   
     
     
         12 . The method of  claim 9 , further comprising providing, by the system, a flowthrough impact percentage, wherein the flowthrough impact percentage is a calculation of a percentage of flowthrough errors that are caused by a specific error. 
     
     
         13 . The method of  claim 8 , further comprising receiving, by the system, the ordering data incrementally. 
     
     
         14 . A machine-readable storage medium comprising executable instructions that when executed by a processor, cause the processor to facilitate performance of operations comprising:
 determining exception data associated with exceptions of a plurality of orders, wherein the exception data include data about order fallout of a flowthrough of the plurality of orders;   determining a plurality of exclusions associated with the plurality of orders and a plurality of exceptions, wherein the plurality of exclusions are order exceptions that do not count against the flowthrough of the plurality of orders;   updating the exception data responsive to the plurality of exclusions, to remove excused order exceptions, resulting in updated exception data without the excused order exceptions;   determining order data that includes the plurality of exceptions;   generating an apportionment of the order exceptions counted against the flowthrough of the plurality of orders;   determining, from the apportionment of the order exceptions, a weighted flowthrough count; and   creating issue tables based on one of the exception data, the apportionment of the order exceptions, the weighted count, or combinations thereof.   
     
     
         15 . The machine-readable storage medium of  claim 14 , wherein creating the issue tables is based on the updated exception data, and wherein the issue tables show activities that cause the order errors, the operations further comprising:
 deriving summary level data based on the plurality of orders and the updated exception data, wherein the summary level data is affected by new orders, the exception data, and the plurality of exclusions;   creating summary tables based on the summary level data; and   providing the summary tables to a graphical user interface, wherein the summary tables include metrics comprising flowthrough counts.   
     
     
         16 . The machine-readable storage medium of  claim 14 , wherein the operations further comprise calculating a flowthrough impact percentage, wherein the flowthrough impact percentage is a calculation of a percentage of flowthrough errors that are cause by one of a specific error or issue. 
     
     
         17 . The machine-readable storage medium of  claim 14 , wherein the operations further comprise:
 loading the order data about the plurality of orders; and   loading the exception data for the plurality of orders.   
     
     
         18 . The machine-readable storage medium of  claim 14 , wherein the plurality of exclusions includes one of automated exclusions, manual exclusions or both. 
     
     
         19 . The machine-readable storage medium of  claim 14 , wherein the operations further comprise:
 receiving order data about the plurality of orders, wherein the order data includes a number of orders that have been completed and a number of orders that have not been completed, and providing the issue tables to a graphical user interface.   
     
     
         20 . The machine-readable storage medium of  claim 14 , wherein one of the order data, the exception data or both are received incrementally.