Abstract: A customer-orientated manufacturing planning and controlling system. An order management module is programmed to receive an order for a product and reserve a capacity for the order based on a capacity model that considers a plurality of capacity vectors in a production system. A plan engine generates a fixed production schedule for the order based on the capacity model. A priority management engine provides a priority for the order. A production schedule monitor and evaluation module determines whether the order in process conforms to the fixed production schedule by statistical process control (SPC) and whether to adjust the fixed production schedule and to adjust the priority based on a dynamic achievement model of historical fixed production schedules, based on historical production information in a production database storing production information of the production system.

Abstract: A customer-orientated manufacturing planning and controlling system. An order management module is programmed to receive an order for a product and reserve a capacity for the order based on a capacity model that considers a plurality of capacity vectors in a production system. A plan engine generates a fixed production schedule for the order based on the capacity model. A priority management engine provides a priority for the order. A production schedule monitor and evaluation module determines whether the order in process conforms to the fixed production schedule by statistical process control (SPC) and whether to adjust the fixed production schedule and to adjust the priority based on a dynamic achievement model of historical fixed production schedules, based on historical production information in a production database storing production information of the production system.

Abstract: A systematic approach for generating a work release plan that considers both demand and supply variables. The approach comprises prioritizing scheduled lots in order of their critical ratios, estimating an initial daily release quota for the scheduled lots based on both pull and push requirements, and determining detailed capacity constraints for the manufacturing system. The approach further comprises testing whether the initial daily release quota complies with the detailed capacity constraints, and, if the detailed capacity constraints are violated, rearranging the lots in the initial daily release quota so that the detailed capacity constraints are met.

Abstract: A systematic approach for generating a work release plan that considers both demand and supply variables. The approach comprises prioritizing scheduled lots in order of their critical ratios, estimating an initial daily release quota for the scheduled lots based on both pull and push requirements, and determining detailed capacity constraints for the manufacturing system. The approach further comprises testing whether the initial daily release quota complies with the detailed capacity constraints, and, if the detailed capacity constraints are violated, rearranging the lots in the initial daily release quota so that the detailed capacity constraints are met.

Abstract: Calculate the WIPi for a stage STkk for each lot Li in a queue of lots being processed in a production line between the stage STkk and an end point, where “i” is a positive integer representing the position of the lot Li in the queue, and where “kk” is a positive integer indicating the sequential position of the stage STkk (location along the production line) from the beginning to the end of a predetermined portion of the production line. Calculate remaining scheduled cycle time (RCTi) for each lot Li. Calculate consumed scheduled cycle time (CSTi) for each lot Li. Calculate (WIPi*RCTi) for each lot Li. Calculate (WIP*CSTi) for each lot Li. Sum WIPi*RCTi for all lots Li of a stage. Sum WIPi*CST for all lots Li of a stage.