Risk Analysis of Engineering Change for Distributed Product Design

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.

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.


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):  
Erwin Rezasyah ◽  
Reiko Sarah Pradita ◽  
Maria Annissa Laetitia Vheran Loekitodisastro ◽  
Calista Angeline ◽  
Dave Mangindaan

The subject of Ergonomics serves as an important part on the education for Product Design Engineering, in which it sets the fundamental understanding for future engineers over the human aspect in engineered a new product. The teaching method of Ergonomics using theoretical approach, followed by laboratory practice to simulate the approach on improving a product or system from the human point of view as user. However, in the context of Product Design Engineering that seeks an output in form of a product solution the approach used in Ergonomics teaching may not be reaching the level of prototyping that can represent a tangible solution. This paper is discussing an alternate approach of applying Project-based model for teaching Ergonomics with aim to produce an output of conceptual product to materialize the Ergonomics improvement parameters resulted from the theoretical and laboratory practice approach initially conducted from the previous approach. The adoption of Design Thinking method into the teaching plan was being introduced as a mean of allowing a direct and practical way of leading the process up to prototyping phase and thus setting up a platform for further improvement. The case study was deducted from the teaching subject of Human-Integrated Systems class by utilizing the ongoing teaching plan as the media for introducing the new approach.


Author(s):  
Beshoy Morkos ◽  
Joshua D. Summers

This paper presents an industry case study investigating change propagation due to requirement changes. This paper makes use of a change propagation prediction tool, ΔDSM, to identify if the propagated changes could have been identified and predicted. The study used an automation firm’s client project as the study subject. The project entailed 160 requirements, changing over the span of 15 month. Engineering change notifications were developed for each change and documented under the firm’s data management system. This study makes use of the change notifications to identify if any of the change were as a result of a previous change. The findings of this paper indicated the changes that occurred could have been predicted as the ΔDSM was able to predict affected requirements. This was identified by finding subsequent requirements in the engineering change notification documentation that the ΔDSM indicated might change.


Author(s):  
Olivier L. de Weck ◽  
Eun Suk Suh

Customization and market uncertainty require increased functional and physical bandwidth in product platforms. This paper presents a platform design process in response to such future uncertainty. The process consists of seven iterative steps and is applied to an automotive body-in-white (BIW) where 10 out of 21 components are identified as potential candidates for embedding flexibility. The method shows how to systematically pinpoint and value flexible elements in platforms. This allows increased product family profit despite uncertain variant demand and specification changes. We show how embedding flexibility suppresses change propagation and lowers switch costs, despite an increase of 34% in initial investment for equipment and tooling. Monte Carlo simulation results for 12 future scenarios reveal the value of embedding flexibility.


Author(s):  
Xianfu Cheng ◽  
Zhihu Guo ◽  
Xiaotian Ma ◽  
Tian Yuan

Modular design is a widely used strategy that meets diverse customer requirements. Close relationships exist between parts inside a module and loose linkages between modules in the modular products. A change of one part or module may cause changes of other parts or modules, which in turn propagate through a product. This paper aims to present an approach to analyze the associations and change impacts between modules and identify influential modules in modular product design. The proposed framework explores all possible change propagation paths (CPPs), and measures change impact degrees between modules. In this article, a design structure matrix (DSM) is used to express dependence relationships between parts, and change propagation trees of affected parts within module are constructed. The influence of the affected part in the corresponding module is also analyzed, and a reachable matrix is employed to determine reachable parts of change propagation. The parallel breadth-first algorithm is used to search propagation paths. The influential modules are identified according to their comprehensive change impact degrees that are computed by the bat algorithm. Finally, a case study on the grab illustrates the impacts of design change in modular products.


2006 ◽  
Vol 57 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Qi Hao ◽  
Weiming Shen ◽  
Zhan Zhang ◽  
Seong-Whan Park ◽  
Jai-Kyung Lee

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