Abstract: To provide a parts procuring and managing method and a system capable of efficiently achieving an SCM in connection with parts. A client (1), a supplier (2) and a center warehouse (3) are connected together via a network (4). On the basis of the client's obligation for acceptance calculated by the client (1), a forecast-based order is made to the supplier (2) to procure parts. The procured parts are transported to the center warehouse (3) by a freight car (5) and are managed therein.

Abstract: The method of planning a production schedule of the present invention has a production order preparing unit which, in response to an order, the completed product stock is allocated to the previous production schedule planned before an order change, and which prepares a production order. The production schedule which is previously planned is allocated to the production order which has been subjected to allocation of the completed product stock to the order, in accordance with information such as the product identification, the quantity, and the delivery time. The allocated portion of the previous production schedule is used as it is in the current production schedule.

Abstract: A production plan generating apparatus, and a method, are provided for generating production plans in sequential chronological order, from an ultimate downstream process in which a final product is produced, to all of the upstream processes required to produce components needed to make the final product. The apparatus includes an input device for inputting initial data including ultimate downstream process data, and a memory for storing the input data, machine data and process data, and a generator for generating a production plan for the final product, and upstream plans for the components and/or sub-components which are required in order to produce the final product.

Abstract: Data for production planning is input by an input device 3 and stored in a data base 1 for planning. Knowledge for planning is also input by the input device 3 and stored in a knowledge base 2 for planning. An inference engine 6 automatically makes and modifies the production plan. The plan made by the inference engine 6 is stored in a data base 17 of inference result. An intelligent editor 15 makes a plan free of inconsistencies through the input device 3. The Inference result of planning of the intelligent editor is also stored in the data base 17 of inference result. Data in the data base 1 and in the data base 17 of inference result is either indicated on a display 16 or printed on paper by a printer 22. As a result, it is possible to make a reliable plan and realize planning having wide extent of utilization.

Abstract: Data for production is input by and input device 3 and stored in a data base 1 for planning. Knowledge for planning is also input by the input device 3 and stored in a knowledge base 2 for planning. An inference engine 6 automatically makes and modifies the production plan. The plan made by the inference engine 6 is stored in a data base 17 of inference result. An intelligent editor 15 makes a plan free of inconsistencies through the input device 3. The inference result of planning of the intelligent editor is also stored in the data base 17 of inference result. Data in the data base 1 and in the data base 17 of inference result is either indicated on a display 16 or printed on paper by a printer 22. As a result, it is possible to make a reliable plan and realize planning having wide extent of utilization.