Technological analysis-based ERP production planning management software

Abstract

The invention discloses technological analysis-based ERP production planning management software. On the basis of taking technological analysis data as a shared static data source of modules of a system, production procedures are used as basic units and set as virtual warehouses. Capacity requirements planning (CRP) performs the scheduling operation of a main production schedule (MPS) according to a procedure production capacity generated by the technological analysis data in operation steps (process steps) and generates production scheduling planning after verification and confirmation; and after corresponding material requirements are verified in a warehouse, a system generates procedure operational planning and production flows are dynamically monitored through the virtual warehouses. The production planning management changes the management mode that a production operational schedule (a production job order) is input after a production planer coordinates all departments and checks materials in the original ERP software, and makes up the breakpoints generated by an ERP information chain in process control, thereby improving value-added benefits of material flows, financial flows and information flows by workflows and effectively increasing the implementation success ratio of the software.

Description

Technical field [0001] The invention relates to an enterprise resource planning (ERP) software, especially the enterprise resource planning (ERP) software with production management function. technical background [0002] At present, the management ideas contained in the well-known ERP are very extensive and profound. The realization of these advanced management ideas is inseparable from the development and application of information technology. ERP not only faces the supply and demand chain, embodies the spirit of lean production, agile manufacturing, and synchronous engineering, but also must be combined with total quality management (TQM) to ensure product quality and customer satisfaction; combined with just-in-time production (JIT) to eliminate all invalid labor and Waste, reduce inventory and shorten delivery time; it also combines Theory of Constraint (TOC, which is the development of Optimal Production Technology OPT) to define bottlenecks in the supply chain and eli...

AI Technical Summary

Problems solved by technology

Since the ERP system lacks a dynamic feedback mechanism for information such as the process position of the product in process, the time of arrival and departure, processing quality, process equipment, and load status of process equipment, the advantages of the system's pre-event and in-process planning are in the implementation During the process, its value is reduced or lost due to incomplete implementation of the plan, inaccurate feedback data and time delay

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