[Paper Review] Manufacturing process similarity measurement model and application based on process constituent elements

Title: Manufacturing process similarity measurement model and application based on constituent process elements

• Proposed Method
  • Manufacturing technique process is established on the basis of six dimensions of process constituent elements
  • Solve the similarity based on each dimension
    Determine the weights of dimensions of the six elements
• Keywords: manufacturing technique process, similarity, constituent process elements, angle information entropy, process classification

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1. Introduction

1.1 Motivation 

• Product diversity has considerably increased the complexity of manufacturing process planning and management
• Frequent process conversions have also increased a considerable amount of time, thereby increasing the cost burden
• The product manufacturing process must be classified according to the relevant features of the manufacturing technique process

1.2 Related Works 

1.2.1 Mfg. process similarity based on product characteristics

• similarity measures of different shapes in computer vision and graphics
• similarity comparison of the overall shape and local features of processed parts
• product feature vectors as the basis for evaluating shape similarity

 

1.2.2 Mfg. process similarity based on process characteristics

• clustering and grouping method for parts based on the similarity of processing resources
• similarity of the manufacturing process in a dynamic block production environment based on a series of assumptions
• unit manufacturing grouping decision, the similarity of related production data
• business process management method to solve the similarity of manufacturing process operation flows

 

1.3 기존 연구의 문제

• Manufacturing process characteristic의 유사도를 정의할 때 모두 다른 perspective, feature를 사용함
• manufacturing constituent elements는 다양하고 복잡해서 모든 특성이 고려되기 어려움
• 기존의 연구들은 문제를 simplify하여 해결하고, 주요한 인자만 고려해서 정보가 손실될 수 밖에 없음

 

1.4 Proposed Method

 

• This study proposes a measurement model of manufacturing process similarity based on process constituent elements
• Focusing on the characteristic indices of such elements, the similarity of the semantic space vector attribute, text sequence, string set, interval and trapezoidal fuzzy attributes are calculated to determine the corresponding similarity values in each dimension
• The combination of the extended interval analytic hierarchy process (EIAHP) and angular information entropy ensures the rationality of the weight calculation in six dimensions.

 

 

2. Method

<Six-dimensional constituent elements of mfg. process>

• Manufacturing process of any product could be summarised as a process system composed of six-dimensional constituent elements. The similarity of the manufacturing process depends on the similarity of these elements.
• Six-dimensional constituent elements
  • Input(I)
  • Output(O)
  • Resources(R)
  • Value-add processing activities(V)
  • Environment(E)
  • Quality control & inspection(QCI)

 

<Similarity mechanism framework> 

 

• Mechanism Layer: Similarity mechanism of the mfg. process
• Element Layer: decomposed into six process constituent elements
• Indicator Layer: specific indicators of the process constituent elements of each dimension

 

 

<Similarity calculation of process constituent elements>

• 6 element별로 Similarity를 구하는 method를 다르게 선정함
  • Similarity of input and output constituent elements
    
    • Extract keywords
    • Semantic quantitative calculation
  • Similarity of resource constituent elements
  • Similarity of constituent elements of the value-added processing activity
  • Similarity of environmental constituent elements
  • Similarity of quality control & inspection constituent elements

 

<Similarity weights of process constituent elements>

• comprehensive determination of the weights of process constituent elements in each dimension (method 생략)

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Reference: https://www.tandfonline.com/doi/full/10.1080/00207543.2020.1759838 

Manufacturing process similarity measurement model and application based on process constituent elements