ENGINEERING CHANGE ORDERS

Author(s):  
Nikhil Joshi ◽  
Farhad Ameri ◽  
Debasish Dutta

Engineering Change Management (ECM) is an important component of PLM. ECM modules in current PLM solutions conform to the industry-standard CMII closed-loop change model. They provide customised forms and pre-defined workflows for creating and processing change requests, change orders, etc. Evaluating the effects of the proposed Engineering Change on manufacturing processes, BOM, lead times, inventory, etc., usually form tasks in this generic workflow. However, each change has different downstream effects, which themselves lead to further changes that may not be evident. Identifying these impacts requires considerable experience and expertise. This paper addresses the need for automated tools to assist this process. The approach involves dynamic creation of workflow tasks for evaluating cascaded effects of any change using a predefined industry specific knowledge base. The process is further enhanced by prioritising the evaluation of effects based on experience generated by past engineering changes.


2004 ◽  
Vol 126 (03) ◽  
pp. 43-45
Author(s):  
Alan S. Brown

This article focuses on the advantages of technology over manual intervention. Products are made to order in a process that spawns a stream of changes to CAD drawings, technical specifications, bills of materials, assembly instructions, and other documents. The secret of Swagelok’s success is workflow software, which helps automate and manage repetitive business processes, such as engineering change orders, document revision, review, and design release. It lets a computer automatically route drawings and documents to every person who needs them. Workflow software creates a single system for gathering all of the necessary history, measurements, and models. Swagelok and Evernham use workflow software to control and track the movement of information. Many larger companies, on the other hand, have used workflow software to move data automatically among applications. Such complex workflows are usually part of a larger product lifecycle management solution.


Author(s):  
Fatos Elezi ◽  
Armin Sharafi ◽  
Alexander Mirson ◽  
Petra Wolf ◽  
Helmut Krcmar ◽  
...  

This paper describes an implementation of a Knowledge Discovery in Databases (KDD) process for extracting the causes of iterations in Engineering Change Orders (ECOs). A data set of approximately 53,000 historical Engineering Change Orders (ECOs) was used for this purpose. Initially, the impact of iterations in ECO lead time and uncertainty is assessed. Subsequently, a semi-automatic text-mining process is employed to classify the causes of iterations. As a result, cost and technical categories of causes were identified as the main reasons for the occurrence of iterations. The study concludes that applying KDD in historic ECO data can help in identifying the causes of iterations of ECO which subsequently can provide a framework for companies to reduce these iterations. In addition, the case represents an example of benefits that can be achieved with the application of KDD in engineering change management.


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