The Engineering Change of the Total Requirements Matrix for a Bill of Materials

1964 ◽  
Vol 10 (3) ◽  
pp. 488-493 ◽  
Author(s):  
Leon Gleiberman
Author(s):  
Jianxin Jiao ◽  
Mitchell M. Tseng ◽  
Qinhai Ma ◽  
Yi Zou

Abstract This paper discusses the integrated product and production data management for mass customization production which is characterized by a large number of variety. A data structure, called Bill-of-Materials-and-Operations (BOMO), is proposed for the purpose of unifying BOMs and routings in order to facilitate better production planning and control, as well as order processing and engineering change control. To deal with variety effectively, a generic BOMO concept is put forward based on an understanding of a generic variety structure developed in the paper for characterizing variety. The merits of the generic BOMO for integrated product and production data management are detailed in terms of customer order processing, engineering change control, production job planning, costing, and integrated material and capacity planning. A prototype implementation of the proposed generic BOMO methodology in souvenir clock manufacturing is also reported.


Author(s):  
Mukhil Azhagan M. S ◽  
Dhwani Mehta ◽  
Hangwei Lu ◽  
Sudarshan Agrawal ◽  
Mark Tehranipoor ◽  
...  

Abstract Globalization and complexity of the PCB supply chain has made hardware assurance a challenging task. An automated system to extract the Bill of Materials (BoM) can save time and resources during the authentication process, however, there are numerous imaging modalities and image analysis techniques that can be used to create such a system. In this paper we review different imaging modalities and their pros and cons for automatic PCB inspection. In addition, image analysis techniques commonly used for such images are reviewed in a systematic way to provide a direction for future research in this area. Index Terms—Component Detection, PCB, Authentication, Image Analysis, Machine Learning


2021 ◽  
pp. 1063293X2098297
Author(s):  
Ivar Örn Arnarsson ◽  
Otto Frost ◽  
Emil Gustavsson ◽  
Mats Jirstrand ◽  
Johan Malmqvist

Product development companies collect data in form of Engineering Change Requests for logged design issues, tests, and product iterations. These documents are rich in unstructured data (e.g. free text). Previous research affirms that product developers find that current IT systems lack capabilities to accurately retrieve relevant documents with unstructured data. In this research, we demonstrate a method using Natural Language Processing and document clustering algorithms to find structurally or contextually related documents from databases containing Engineering Change Request documents. The aim is to radically decrease the time needed to effectively search for related engineering documents, organize search results, and create labeled clusters from these documents by utilizing Natural Language Processing algorithms. A domain knowledge expert at the case company evaluated the results and confirmed that the algorithms we applied managed to find relevant document clusters given the queries tested.


2011 ◽  
Vol 314-316 ◽  
pp. 1607-1611
Author(s):  
Zhong Wei Gong ◽  
Hai Cheng Yang ◽  
Rong Mo ◽  
Tao Chen

Engineering change is an important and complex activity for manufacturing enterprises. In order to improve the efficiency of engineering change, designers should pay different attentions to different nodes of product development network. In that case, a method of classifying the nodes was proposed. First, we proposed a method to cluster the nodes based on design structure matrix; then, we analyzed the indexes for evaluating the importance of nodes and studied the method of classifying the nodes of product development network; finally, the experiment of managing a type of motorcycle engine was employed to validate our method and it showed the correctness of the proposed method.


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