Analysis of Engineering Change Based on Product Development Network

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.

2020 ◽  
Vol 6 ◽  
Author(s):  
Ívar Örn Arnarsson ◽  
Emil Gustavsson ◽  
Mats Jirstrand ◽  
Johan Malmqvist

The problem at hand is that vast amount of data on industrial changes is captured and stored; yet the present challenge is to systematically retrieve and use them in a purposeful way. This paper presents an industrial case study where complex product development processes are modeled using the design structure matrix (DSM) to analyze engineering change requests sequences. Engineering change requests are documents used to initiate a change process to enhance a product. Due to the amount of changes made in different projects, engineers want to be able to analyze these change processes to identify patterns and propose the best practices. The previous work has not specifically explored modeling engineering change requests in a DSM to holistically analyze sequences. This case study analyzes engineering change request sequences from four recent industrial product development projects and compares patterns among them. In the end, this research can help to identify and guide process improvement work within projects.


2010 ◽  
Vol 139-141 ◽  
pp. 1341-1344
Author(s):  
Ting Gui Chen

Due to shortcomings existing in traditional overlapping model, a new extending activity overlapping model based on design structure matrix considering rework and iteration during activities execution is proposed in this article. Firstly, a tradional overlapping model presented by others is introduced. Sencondly, it is expanded to apply to more general situations using design structure matrix. Subsequently, an example deriving from a certain product development process is used in order to illustrate its effeciency and effectiness


Author(s):  
Maria Carrascosa ◽  
Steven D. Eppinger ◽  
Daniel E. Whitney

Abstract This model estimates the probability of completing a product development process over time. The Design Structure Matrix (DSM) framework is used to capture the information dependencies between tasks using the concepts of Probability of Change and Impact. The model incorporates a stochastic element that represents the likelihood of changes resulting in task iterations. The model captures the dynamic behavior of a product development process formed by a combination of parallel, serial and coupled tasks. The model relaxes the assumption that coupled tasks take place in a complete parallel or serial iteration. It can be used to compare the development time of the project for different task sequences and overlapping degrees. This tool allows for identification of the leverage points in the system, providing information about the most effective way to reduce development time. This project was a joint effort with a Hewlett-Packard division, and the observations and practical application presented are based on this field experience.


Author(s):  
Sang-ok Park ◽  
Jongmin Yoon ◽  
Hochan An ◽  
Jeonggyu Park ◽  
Gyung-Jin Park

As the demands of customers in the modern industry increased, the number of products, and the variety of components has increased. These issues have led to difficulties in product development and production. Modularization of products has advantages such as cost reduction, product development time reduction, and production time reduction. Modular design of products has been studied in the design activities of the modern industry. In this study, a modular design method is proposed to design a modular product based on axiomatic design (AD) and design structure matrix (DSM). AD and DSM are efficiently integrated into the proposed method. Functional requirements and design parameters are defined based on the Independence Axiom of AD, and the zigzagging process of AD is employed for the decomposition of the functional requirements (FRs) and design parameters (DPs). The design sequence is established based on the design matrix. Coupled or functionally close DPs are grouped into a module (Module 1). These modules are efficiently used in the design sequence. DSM is used to modularize the design parameters of the lowest level of axiomatic design. DSM is constructed based on physical interfaces and numerical clustering algorithms are used to identify strongly related components. They are grouped into a module (Module 2). Module 2 is exploited for production and management. Therefore, these two modules for different purposes can be used to increase efficiency in the design and production process. The proposed method is applied to two automobile parts such as the suspension system and cooling system. The results are discussed from the viewpoint of usefulness.


Volume 3 ◽  
2004 ◽  
Author(s):  
Emmanuel Maravelakis ◽  
Nicholas Bilalis ◽  
Aristomenis Antoniadis ◽  
Vassilis Moustakis

Innovation is a major driving force for the economic growth and expansion of companies and the need to innovate has become clear by now. The quality of the decisions during the design phase of a product development process is strongly connected with the assessment of the product, process and organisational innovation dimensions. The developed methodology addresses these three axes, using 30 innovation attributes, in order to obtain a product innovation profile through an innovation survey. This way a range of industry standard Innovation scores called PIP-SCORES (Product Innovation Profile scores -or innovation benchmarks) have been established. So far more than 600 companies coming from a range of industrial sectors that include creative industries, electrical/electronic, fire and safety, footwear, plastics, ceramics and textiles, have participated in this survey and their innovation profiles have been included in the database. The proposed tool benchmarks the product innovation profile of a company with the corresponding innovation scores from companies coming from the same sector. Next, the tool utilises a Design Structure Matrix, for mapping the dependencies between the Innovation Attributes. Furthermore an Innovation Improvement Impact Value for each Attribute is introduced. In order to improve the innovative profile of a company, a considerable amount of resources is needed. Provided that resources are usually limited to most companies, an optimal improvement strategy, based on the Innovation Improvement Impact values is proposed. The proposed tool (I-DSM, Innovation - Design Structure Matrix) aims at improving the innovative performance of a company, by minimizing the product development cycle and by improving the performance of the product development process.


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