Sewing assembly line on-line production management system and management method

Abstract

The invention relates to the field of assembly line production and manufacture and specifically relates to a sewing assembly line on-line production management system. The sewing assembly line on-line production management system comprises a production line, a control system and an intelligent Kanban. The production line comprises a plurality of stations, and at least one station is provided with a chronometer connected with the control system. The intelligent Kanban is provided with indicator lights corresponding to target output, timing output and total output. The intelligent Kanban is in signal connection with the control system and displays operation data of the control system. According to the sewing assembly line on-line production management system, the target output is obtained based on data information of assembly line data as well as station quantity data and the like instead of being designed based on preset data; and the target output is adjusted automatically according to data change on the assembly line, a manager can adjust the assembly line according to change of the target output, and thus accurate data support is provided for the entire order management.

Description

technical field [0001] The invention relates to the field of assembly line production and manufacturing, in particular to an online production management system for a sewing assembly line. Background technique [0002] At present, in the production process of sewing lines such as clothing, shoes and hats, the management level of the assembly line is restricted by many factors such as production products, processing procedures, and employee operating capabilities. At present, the production efficiency and management level of the assembly line can only be estimated through the experience of the manager, and the target output of a single product cannot be accurately determined. There are a large number of random variables in the clothing production site, making it difficult to control and regulate the production site , The former empirical management no longer meets the needs of reality. [0003] In order to solve the above problems, the invention patent application with the a...

AI Technical Summary

Problems solved by technology

At present, the production efficiency and management level of the assembly line can only be estimated through the experience of the manager, and the target output of a single product cannot be accurately determined. There are a large number of random variables in the clothing production site, making it difficult to control and regulate the production site , the former experience-based management no longer meets the needs of reality

[0003] In order to solve the above problems, the invention patent application with the application publication number of CN104020676A discloses a method for arranging clothing assembly lines based on simulation technology. The method of using simulation technology for assembly line arranging improves the integration of internal information of clothing production enterprises, but this kind of The method has the following problems: First, the entire simulation process is judged and set by the operator, so the operator must have certain professional knowledge of the garment assembly line, and the experience of the operator has an important intervention on the simulation results; The assembly line arrangement method is a pre-arrangement setting, and the pre-arrangement setting cannot be adjusted according to the ready-made conditions in actual operation; the third is that this kind of assembly line arrangement method takes the running time or finished product output as the operation target. In the assembly line management, the focus is on control The balance relationship between the target output and the production volume, this kind of management system can only plan the target output, but cannot adjust the target output through the actual production volume of the assembly line, so this kind of management system lacks authenticity, and the actual There are deviations in the operation, and when there are unexpected situations on the pipeline, it is impossible to quickly adjust

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