Method and system for evaluating completion progress of manufactured product

Abstract

The invention relates to a method and a system for evaluating the completion progress of a manufactured product, and belongs to the technical field of product manufacturing process management and collaborative manufacturing. The evaluation method comprises the following steps: (1) receiving order product information and a production scheduling scheme matched with an order product; (2) if the abnormal event influencing the production scheduling scheme does not occur, calculating the completion progress of the order at the moment T according to a calculation model (shown in the description), wherein the processed time t<ed>p of the operation Jp under the original production scheduling scheme and the minimum production period t<mc>p of the operation Jp under the original production schedulingscheme according to the starting and ending time of each production operation determined by the production scheduling scheme. The method can reflect the actual completion progress of the manufacturedproduct more accurately, has higher universality on a product manufacturing progress evaluation object, and can be widely applied to process management and collaborative manufacturing in the manufacturing field.

Description

technical field [0001] The invention relates to the technical field of product manufacturing process management and collaborative manufacturing, in particular to a method and system for evaluating the completion progress of a product in process. Background technique [0002] As one of the key technologies to enhance the competitiveness of the manufacturing industry, collaborative manufacturing integrates monitoring technology, network technology and information technology to realize the cooperation of enterprise product design, manufacturing, management and business within the supply chain and across supply chains. production mode. In collaborative manufacturing technology, the monitoring and evaluation of the manufacturing progress of ordered products is of great significance to it, which can enhance the enterprise's ability to respond to market dynamics. In a data-rich workshop environment, the manufacturing progress of the product can be evaluated by extracting correspon...

AI Technical Summary

Problems solved by technology

[0004] The above scheme is based on radio frequency technology and communication technology, and can effectively monitor the various production processes of products, but there are still the following problems: (1) Not all product manufacturing processes are applicable to the use of sensors such as radio frequency tags, for example, for The processing of aluminum profile products by thermal processing involves multiple processes in the casting workshop, mold workshop and extrusion workshop in its manufacturing process. The process of melting and casting alone includes melting preparation, melting, refining, casting and homogenization, etc. Five processes, and the high temperature in the steps of melting preparation, melting and refining will cause damage to sensors such as radio frequency tags placed on the product, making it unsuitable to deploy the above radio frequency tags to monitor the entire manufacturing process; ( 2) The monitoring using radio frequency tags is discrete-point monitoring, that is, the progress bar changes in stages, that is, the production task is considered to be completed only after the current generation task is completed on the current processing equipment, otherwise the progress of the production task It is always zero, that is, when most of the products in process start production, this indicator will remain unchanged for a certain period of time, but when these products are about to end production, this indicator will suddenly increase, resulting in the progress of which cannot be truly measured. Reflect the specific production progress, especially for the production of order products where some production tasks occupy the main time of the entire product production

In addition, during the generation process, there are inevitably equipment failures, order insertion and other events that cause delays in the production progress of some orders, which is also an important reason why it is difficult to obtain the completion progress of products in process in real time

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