Engineering Change Management of Product Design Using Model-Based Definition Technology

Author(s):  
Leilei Yin ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Inayat Ullah ◽  
Haitao Zhang

As engineering change (EC) is an inevitable activity in the industry and uses a lot of engineering design resources, the management of EC has become a crucial discipline. In current researches, most of the data related to the product design change are scattered in different forms and the product data are acquired manually from various files in the EC management, which is time-consuming and error-prone. In this work, design change-oriented model-based definition (DCMBD) model is defined as the sole data source. Based on the proposed DCMBD model, this work presents a method to acquire the product changes automatically and evaluate design change propagation proactively in a uniform way. The objective of the proposed method is to effectively and efficiently manage ECs. In this paper, first, DCMBD model is defined specifically, which records the product data: geometry, material, tolerance and annotations, relations of product items, lifecycle data, etc. Then, based on the defined DCMBD model, algorithms are presented to automatically acquire two types of product change: parameter change and topology face change. Next, relation models for the product items (parameter and topology face) are demonstrated. After that, the change propagation in terms of parameters and topology faces are clarified. Meanwhile, indices of parameter change influence (PCI) and topology face change influence (TFCI) are presented to evaluate the change impact. Finally, a prototype system for product design change is developed and a case study is demonstrated to show how the proposed method can be applied to the product design change.

Author(s):  
Leilei Yin ◽  
Quan Sun ◽  
Youxiong Xu ◽  
Li Shao ◽  
Dunbing Tang

Abstract Nowadays customer demand for satisfactory product developed in limited time is rapidly posing a major challenge to product design and more distributed products are developed to address these concerns. In the distributed product design, engineering change (EC) is an inevitable phenomenon and consumes much production time. It is necessary to assess the design change effectively in advance. Some methods and tools to predict and analyze the change propagation influence have been provided. From the perspective of design change duration, our work extends the method of assessing design change by incorporating risk factors from different working groups in multiple design sites, functional maintenance during the change propagation. The primary result of this work is the provision of a design support to acquire the optimal design change scheme by estimating the duration. In this paper, risk factor of distributed design is applied to the influence evaluation of change propagation, which implies an increase of change propagation influence due to the varying levels of expertise, possible lack of communication. Besides, a deterministic simulation model is proposed to assess the change propagation schemes. The model combines the effects of design change parallelism, iteration, change propagation for the distributed product design. Based on the simulation results, a more focused discussion and identification of suitable design change schemes can be made. A case study of an assembly tooling for the reinforced frame is implemented to demonstrated how the developed method can be applied. Finally, the method is initially discussed and evaluated.


2020 ◽  
Vol 1 ◽  
pp. 1165-1174
Author(s):  
R. Wilms ◽  
P. Kronsbein ◽  
D. Inkermann ◽  
T. Huth ◽  
M. Reik ◽  
...  

AbstractEngineering changes (ECs) and engineering change management (ECM) are crucial for successful product design processes (PDP). Due to the increasing complexity of today's products (like vehicles) and the interaction of different engineering domains (mechanics, electric/electronics, software) involved in the PDP, cross-domain EC impact assessments as well as processes are required. To better support engineers in assessing change propagation across domains and products, existing approaches for ECM product models are analyzed in this paper and an enhanced product model is derived using MBSE.


Author(s):  
Peter Pikosz ◽  
Johan Malmqvist

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.


Author(s):  
Robert Wilms ◽  
David Inkermann ◽  
Vadym Finn Cemmasson ◽  
Michael Reik ◽  
Thomas Vietor

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.


Author(s):  
Kamran Goher ◽  
Essam Shehab ◽  
Ahmed Al-Ashaab

Model-Based Definition (MBD) is being adopted by the manufacturing industry as a single source for all product information in place of conventional 2D drawings. This paper aims to review the current literature on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) to recognize the main contributions towards the development and implementation of MBD and explore its various perspectives. The publications encompassing technology and applications of MBD are categorized into seven domains. These domains are lifecycle information; design, discrete part manufacturing, and inspection; assembly; maintenance, repair, and overhaul; process planning; engineering change management; and contemporary aspects of digital product definition. The major outcomes of research literature, in these domains, are reviewed and future research directions are identified and formulated. Additionally, the paper highlights the issues and challenges associated with the realization of MBE by the manufacturing industry. These issues are categorized into technical, management, and certification categories. The prevalent issues in each of these categories are further discussed and analyzed.


2011 ◽  
Vol 133 (03) ◽  
pp. 42-43
Author(s):  
Alan F. Mendel

This article studies the role of product lifecycle management (PLM) in industrial engineering. The basic concepts of PLM—product data management, engineering change management, and product structure management—were also discussed. PLM provides data and management capabilities to reduce the non-value-added tasks required of engineers. It also increases engineering productivity, provides insight into engineering efforts, and improves product quality and customer satisfaction. Companies are receiving significant value and return from their PLM investments. Many companies begin implementing PLM by establishing a single source of product data, or product record. Most PLM solutions offer sophisticated interfaces to many design automation and office applications, which reduce the need to capture, store, and validate product data. Product designs are maintained as assemblies and parts in the PLM system, and that arrangement allows engineers easy searching when they are looking, for example, for legacy components, with software providing a critical control and value portion of the product. With PLM, disparate engineering teams work more collaboratively.


Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 61-66
Author(s):  
Maximilian Meißner ◽  
Georg Jacobs ◽  
Patrick Jagla ◽  
Jonathan Sprehe

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