Artificial intelligence system for item analysis for rework shop orders

A method for item analysis, said method providing for the automatic identification of a replacement item for a defective item identified in a re-work order created by a re-work order scheduling process, said method comprising the computer implement steps of:

• monitoring a re-work order scheduling process for re-work orders generated by said re-work order scheduling process;
• identifying a replacement item for said defective item in response to an occurrence of a re-work order by
• designating an item as replacement item if said item identical to said defective item is available,
• determining if a new item has superseded said item utilizing an engineering change in response to an unavailability of said item,
• determining if said new item is available if said new item has superseded said item,
• designating said new item as said replacement item if said new item is available,
• selecting an alternate item having the same function as the defective item in response to an unavailability of said new item, and
• designating said alternate item as said replacement item if said alternate item is available;
• and
• allocating said replacement item for delivery and establishing a delivery schedule for said replacement item in response to an identification of said replacement item, wherein uniform identification of replacement items may be provided.

A data processing system for item analysis for re-work shop orders, said data processing system comprising:

• monitoring means for detecting a re-work order generated by a re-work order scheduling process, wherein said re-work order identifies a defective item;
• analysis means, responsive to a detection of a re-work order, for identifying a replacement item including:
• means for determining a presence of an engineering change for said defective item;
• and
• means for selecting a new item as said replacement item based on said engineering change in response to a presence of said engineering change for said defective item;
• polling means for determining if said replacement item is available;
• and
• allocation means for allocating said replacement item for use and establishing a delivery schedule for said replacement item.

A data processing system for item analysis for re-work shop orders, said data processing system comprising:

• monitoring means for monitoring re-work orders for a shop floor;
• an artificial intelligence means for identifying a replacement item for said defective item in response to an occurrence of a re-work order, including:
• means for designating an item as replacement item if said item identical to said defective item is available,
• means for determining if a new item has superseded said item utilizing an engineering change in response to an unavailability of said item,
• means for determining if said new item is available if said new item has superseded said item,
• means for designating said new item as said replacement item if said new item is available,
• means for selecting an alternate item having the same function as the defective item in response to an unavailability of said new item, and
• means for designating said alternate item as said replacement item if said alternate item is available;
• and
• allocation means for allocating said replacement item for delivery and establishing a delivery schedule for said replacement item in response to an identification of said replacement item, wherein uniform identification of replacement items for a shop floor may be provided.