An Overlapping-Based Design Structure Matrix for Measuring Interaction Strength and Clustering Analysis in Product Development Project

2014 ◽  
Vol 61 (1) ◽  
pp. 159-170 ◽  
Author(s):  
Qing Yang ◽  
Tao Yao ◽  
Ting Lu ◽  
Bo Zhang
Keyword(s):  
Product Development ◽  
Clustering Analysis ◽  
Interaction Strength ◽  
Development Project ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Design Structure ◽  
Product Development Project ◽  
Measuring Interaction

Effective Supplier Involvement in Product Development Projects

2006 ◽  
Author(s):  
Padmavathi K. Pakala ◽  
V. Allada
Keyword(s):  
Product Development ◽  
Development Project ◽  
Design Structure Matrix ◽  
Lead Times ◽  
Development Projects ◽  
Design Structure ◽  
Product Development Project ◽  
Supplier Involvement ◽  
Design Defects ◽  
The Right

In today's scenario, many product development projects run the risk of being over budget and/or run past the scheduled deadlines. A major part of this can be attributed to the lack of effective and realistic product planning. We use the thesis that consideration of appropriate suppliers at the right time in a product development project can reduce wastes like waiting for parts to become available, unnecessary design iterations, design defects and poor design, and mitigate risks related to technology and enterprise capability. In the present paper, we present a methodology for effective supplier involvement in a product development project by blending the Design Structure Matrix (DSM) and the PERT/CPM techniques and considering supplier lead times and component interfaces of a given product architecture. We discuss the various options of supplier consolidation, postponement or early involvement of suppliers, and their effects on the product development project cost and schedule. We will demonstrate the working of the proposed methodology using a case example.

Task Decomposition and Grouping for Customer Collaboration in Product Development

2016 ◽  
Vol 25 (3) ◽  
pp. 361-375
Author(s):  
Xuefeng Zhang ◽  
Yu Yang ◽  
Beifang Bao
Keyword(s):  
Product Development ◽  
Research Work ◽  
Development Project ◽  
Design Structure Matrix ◽  
Adaptive Genetic Algorithm ◽  
Structural Development ◽  
Task Decomposition ◽  
Design Structure ◽  
Correlation Degree ◽  
Product Development Project

AbstractDecomposing product development project into various tasks and grouping them are important activities in product development. Many scholars devoted their efforts to solving this problem and proposed some useful methods. However, the research work of task decomposition and grouping for customer collaboration in product development is still lacking. Therefore, this study first decomposes product development tasks and analyzes its executability. Then, by using an integrated numerical design structure matrix and adaptive genetic algorithm (AGA) approach, tasks are divided into different groups, tasks in the same group have high correlation degree, and tasks in the different groups have low correlation degree. To illustrate the process of task decomposition and grouping methods proposed in this paper, a mobile phone structural development case is applied. Moreover, standard generic algorithm (SGA) and particle swarm optimization (PSO) are used to compare with AGA to verify the effectiveness of AGA.

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
Keyword(s):  
Product Development ◽  
Design Structure Matrix ◽  
Complex Activity ◽  
Engineering Change ◽  
Structure Matrix ◽  
Manufacturing Enterprises ◽  
Design Structure ◽  
Development Network ◽  
Motorcycle Engine

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.

Extending Activity Overlapping Model Based on Design Structure Matrix

2010 ◽  
Vol 139-141 ◽  
pp. 1341-1344
Author(s):  
Ting Gui Chen
Keyword(s):  
Product Development ◽  
Development Process ◽  
Product Development Process ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Model Based ◽  
Design Structure

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

Using the Design Structure Matrix to Estimate Product Development Time

1998 ◽  
Author(s):  
Maria Carrascosa ◽  
Steven D. Eppinger ◽  
Daniel E. Whitney
Keyword(s):  
Product Development ◽  
Development Time ◽  
Development Process ◽  
Product Development Process ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Design Structure ◽  
Reduce Development Time ◽  
Stochastic Element ◽  
Coupled Tasks

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.

Integration of axiomatic design and design structure matrix for the modular design of automobile parts

2021 ◽  
pp. 095440542110144
Author(s):  
Sang-ok Park ◽  
Jongmin Yoon ◽  
Hochan An ◽  
Jeonggyu Park ◽  
Gyung-Jin Park
Keyword(s):  
Product Development ◽  
Modular Design ◽  
Axiomatic Design ◽  
Design Parameters ◽  
Design Structure Matrix ◽  
Functional Requirements ◽  
Structure Matrix ◽  
Design Structure ◽  
Time Reduction ◽  
Modern Industry

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.

A Novel Approach to Product Innovation Profiling Assessment: The I-DSM Tool

Volume 3 ◽  
2004 ◽  
Author(s):  
Emmanuel Maravelakis ◽  
Nicholas Bilalis ◽  
Aristomenis Antoniadis ◽  
Vassilis Moustakis
Keyword(s):  
Product Development ◽  
Product Innovation ◽  
Development Process ◽  
Product Development Process ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Industrial Sectors ◽  
Design Structure ◽  
Innovation Attributes ◽  
A Company

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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