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Feature-based factory manufacturing process difference detection method

A manufacturing process and detection method technology, applied in the field of feature-based factory manufacturing process difference detection, can solve the problems of inability to find the difference of the whole process model, unreasonable process model, etc., and achieve the effect of flexible design, improved efficiency, and flexible methods

Inactive Publication Date: 2017-08-15
ZHEJIANG UNIV OF TECH
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  • Application Information

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Problems solved by technology

[0004] In order to overcome the disadvantages of using an unreasonable tree structure to represent the process model in the prior art and being unable to find the differences between the two process models, the present invention proposes a method that is efficient, does not omit the difference, and does not bring additional difference overhead. A Feature-Based Algorithm for Detection of Differences Between Manufacturing Processes in a Factory

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  • Feature-based factory manufacturing process difference detection method
  • Feature-based factory manufacturing process difference detection method
  • Feature-based factory manufacturing process difference detection method

Examples

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Embodiment 1

[0043] Reference attached figure 1

[0044] A feature-based method for detecting differences in factory manufacturing processes includes the following steps:

[0045] (1) Input the factory manufacturing process model of two differences to be detected;

[0046] (2) Transform the manufacturing process models of the two factories into their corresponding task-based process structure trees (task-based process structure tree, TPST);

[0047] (3) Fragment the two TPSTs respectively, and calculate the similarity of all possible matching fragment pairs in the two TPSTs, and obtain the initial fragment matching table F={(f 1 ,f 1 ’, sim 1 ),(f 2 ,f 2 ’, sim 2 ),…,(f i ,f i ’, sim i )}, only fragments of the same type can match, including:

[0048] (3.1) Fragment the two TPSTs separately, where each fragment is represented by a feature vector composed of multiple features;

[0049] (3.2) Given slices from two different TPSTs, calculate the similarity between the last features ...

Embodiment 2

[0063] Reference attached figure 2 ,3,4,5

[0064] figure 2 Indicates two examples of factory auxiliary material processing flow model diagrams: Process 1 and Process 2. Due to the limitation of the page, letters are used to represent the meaning of task nodes: A means "finished product acceptance", B means "packaging", E means "ingredient processing", F means "cutting", G means "surface treatment", H means " Subpackage", I means "delivery to packaging department", X means "finished product inspection", Y means "coloring".

[0065] In order to get the difference between Process 1 and Process 2, we need to perform the following steps:

[0066] (1) Input two processing flow models of auxiliary materials to be detected: Process 1 and Process 2, which are modeled by Petri nets, such as figure 2 shown;

[0067] (2) Transform Process 1 and Process 2 into their corresponding task node-based process structure tree (TPST): TPST 1 、TPST 2 ,Such as image 3 As shown, each rout...

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Abstract

The invention discloses a feature-based factory manufacturing process difference detection method, which comprises the steps of: converting two factory manufacturing process models into corresponding task-based process structure trees (TPST) based on task nodes; fragmenting the two TPST separately, and calculating similarities between all fragment pairs which are possibly matched; finding out the matched fragment pairs and nodes in the two TPST; and generating editing sequences of the two TPST as the difference based on the matched fragment pairs and nodes. The feature-based factory manufacturing process difference detection method has the advantages of representing the process models by adopting reasonable tree structures, the method of representing the tree structure fragments by means of features is more flexible, the efficiency is significantly improved since a divide-and-conquer strategy is adopted for conducting difference detection, and the problem of high computational complexity is solved.

Description

technical field [0001] The invention belongs to the field of business process management, and relates to a method for detecting differences between processes, in particular to a method for detecting differences in factory manufacturing processes based on features. Background technique [0002] Business process management technology involves process modeling, difference detection between processes, similarity calculation between processes, process reconstruction, etc., which can effectively improve the company's management efficiency. As a result, more and more process models have been created. For example, a garment manufacturing factory has a bed-loading production process, a defective garment warehousing process, a customer-supplied product management process, a processing process for fabric quality problems found after accounting, a process for receiving sample garments and accessories, a process for processing returned accessories, and a production process. Technical pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/04
CPCY02P90/30G06Q10/0633G06Q10/067G06Q50/04
Inventor 范菁王佳星曹斌
Owner ZHEJIANG UNIV OF TECH
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