scholarly journals Information model for engineering change management

2004 ◽  
Author(s):  
Clifford L Panokarren
Keyword(s):  
Change Management ◽  
Information Model ◽  
Engineering Change ◽  
Engineering Change Management

A Comparative Study of Engineering Change Management in Three Swedish Engineering Companies

1998 ◽  
Author(s):  
Peter Pikosz ◽  
Johan Malmqvist
Keyword(s):  
Change Management ◽  
Data Management ◽  
Product Data Management ◽  
Management Systems ◽  
Optimal Process ◽  
Engineering Change ◽  
Data Management Systems ◽  
Product Data ◽  
Engineering Change Management ◽  
Specific Factors

Abstract This paper analyses the engineering change management (EC) process in three engineering companies in Sweden. In the paper, the influence of various company specific factors, such as change leadtime, on the design of the EC process are analysed. The current use of computer support is surveyed and the possibility to apply a modern product data management (PDM) system to support the process is analysed. The paper also presents different strategies for improving the engineering change management process as well as of the product data management systems in order to achieve an optimal process.

scholarly journals Distinction of Domain-Specific and Cross-Domain Linkage Types for Engineering Change Management

2019 ◽  
Vol 1 (1) ◽  
pp. 1125-1134
Author(s):  
Robert Wilms ◽  
David Inkermann ◽  
Vadym Finn Cemmasson ◽  
Michael Reik ◽  
Thomas Vietor
Keyword(s):  
Change Management ◽  
Organizational Structures ◽  
Change Propagation ◽  
Engineering Change ◽  
Domain Specific ◽  
Engineering Change Management ◽  
Cross Domain ◽  
Product Models ◽  
Additional Costs ◽  
Engineering Changes

AbstractEngineering Changes (ECs) are substantial elements of the design process of technical products and are in particular relevant for companies due to enormous additional costs and time delays they can cause. In order to better understand ECs and realize efficient Engineering Change Management (ECM), different approaches exist. One aspect of ECM are change propagation analysis, which try to analyze knock-on effects of an EC on other product elements or the development process. How ECs can propagate is in particular difficult to assess for complex products realized within different engineering domains (mechanical, electrical and software engineering). To address this challenge, ECs are classified, strategies to cope with ECs are presented and change propagation approaches are analyzed in this paper. Thereby a lack of indicators for cross-domain propagation is identified. To overcome this issue, the distinction of domain-specific and cross-domain linkage types is proposed and a set of linkage types is presented. Further research is motivated to integrate these linkage types in product models while also considering processes and organizational structures as additional dimensions of ECM.

Systematic Decision Support for Engineering Change Management in PLM

2005 ◽  
Author(s):  
Nikhil Joshi ◽  
Farhad Ameri ◽  
Debasish Dutta
Keyword(s):  
Change Management ◽  
Lead Times ◽  
Change Orders ◽  
Engineering Change ◽  
Engineering Change Management ◽  
Industry Standard ◽  
Downstream Effects ◽  
Engineering Changes ◽  
Automated Tools ◽  
Change Requests

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.

A methodology for enterprise systems post-implementation change management

2017 ◽  
Vol 117 (10) ◽  
pp. 2241-2262 ◽  
Author(s):  
Marco Comuzzi ◽  
Minou Parhizkar
Keyword(s):  
Change Management ◽  
Enterprise Resource Planning ◽  
Large Fraction ◽  
Enterprise Systems ◽  
Resource Planning ◽  
Parallel Line ◽  
Engineering Change ◽  
Content Type ◽  
Engineering Change Management ◽  
The Impact

Purpose Enterprise systems (ESs) are hard to maintain, since they embed a large fraction of organisational data and tasks, which are often intertwined and highly interdependent. The purpose of this paper is to propose a methodology for enterprise resource planning (ERP) post-implementation change management to support business analysts during perfective maintenance. Design/methodology/approach The methodology draws a parallel line with engineering change management and considers the steps of mapping the dependencies among ES components, understanding the ripple effects of change, and defining metrics to quantify and assess the impact of change. The methodology is instantiated in the case of ERP systems, for which a tool has also been implemented and evaluated by ERP implementation experts. Findings Experts positively evaluated the proposed methodology. General design principles to instantiate the methodology in the case of systems other than ERP have been derived. Originality/value While existing ESs change management methodologies help to identify the need for change, the proposed methodology help to structure the change process, supporting the task of perfective maintenance in an efficient way.

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