Research on Development Process of Complex Product Based on Multi-level Design Structure Matrix

2011 ◽  
Vol 47 (16) ◽  
pp. 166 ◽  
Author(s):  
Yadong SUN
Keyword(s):  
Development Process ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Complex Product ◽  
Design Structure ◽  
Multi Level ◽  
Level Design

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.

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.

Multi-Level Flow-Based Markov Clustering for Design Structure Matrices

2016 ◽  
Author(s):  
Tim (T.) Wilschut ◽  
Pascal (L. F. P.) Etman ◽  
Jacobus (J. E.) Rooda ◽  
Ivo (I. J. B. F.) Adan
Keyword(s):  
Clustering Algorithm ◽  
Visual Representation ◽  
System Structure ◽  
Underlying Structure ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Design Structure ◽  
Input Parameters ◽  
Markov Clustering ◽  
Multi Level

For decomposition and integration of systems one requires extensive knowledge on system structure. A Design Structure Matrix (DSM) can provide a simple, compact and visual representation of dependencies between system elements. By permuting the rows and columns of a DSM using a clustering algorithm, the underlying structure of a system can be revealed. In this paper, we present a new DSM clustering algorithm based upon Markov clustering. The developed clustering algorithm is able to cope with the presence of ‘bus’ elements, returns multilevel clusters, is capable of clustering both directed as well as undirected DSMs, and allows the user to control the cluster results by tuning only three input parameters.

Product Development Process Integration Using Design Structure Matrix

2010 ◽  
Vol 118-120 ◽  
pp. 800-804
Author(s):  
R.M. Zhu ◽  
Dun Bing Tang
Keyword(s):  
Product Development ◽  
Development Process ◽  
Process Integration ◽  
Product Development Process ◽  
Design Structure Matrix ◽  
Analysis Tool ◽  
Triangular Form ◽  
Structure Matrix ◽  
Design Structure ◽  
The Matrix

. The Design Structure Matrix (DSM) is becoming a popular representation and analysis tool for system and process modelling. A DSM displays the relationships between components of a system in a compact, visual, and analytically advantageous format which is a square matrix with identical row and column labels. The main goal in basic DSM analysis is to minimize feedbacks by restructuring or re-architecting the process, which is to say by resequencing the rows and columns of the matrix. This widely practiced initial step in analysis is called partitioning, block diagonalization, or block triangularization, and it involves an algorithm for getting the DSM in an upper-triangular form to the extent possible, with a minimum number of subdiagonal marks pulled as close to the diagonal as possible and grouped in blocks. As a consequence, we have to identify the activities which are coupled, the loops and reorganize the matrix in order to reduce the feedbacks. An application example has been presented to illustrate the power of DSM for product development process integration.

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