Exploring Effective Change Propagation in a Product Family Design

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Leilei Yin

Product family (PF) design is a widely used strategy in the industry, as it allows meeting diverse design requirements. Change propagation in any PF is difficult to predict. Consequently, while numerous design change management methodologies presently exist, their application is restricted to a single artifact. This issue is overcome in the present study. The proposed framework explores effective change propagation paths (CPPs) by considering the risks associated with design changes in the PF with the aim of minimizing the overall redesign cost. The propagated risk, which would result in rework, is quantified in terms of change impact and propagation likelihood. Moreover, a design structure matrix (DSM) based mathematical model and an algorithm for its implementation are proposed to investigate the change propagation across the PF. Finally, to demonstrate their effectiveness, a PF of electric kettles is examined in a case study. The study findings confirm that the proposed technique is appropriate for evaluating different CPPs in PF.

Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Leilei Yin ◽  
Ishfaq Hussain ◽  
Qi Wang

Design projects have been surrounded by tight schedule and cost overruns. Therefore, it is indispensable to resolve the design changes in an economical way. This work introduces an advanced technique to assess and optimize change propagation paths for multiple change requirements occurring simultaneously during the product development process. A novel multiple change requirement algorithm and a mathematical model considering the overall propagated risk are developed, to explore cost-effective change propagation paths in terms of lead time. The risk is quantified with regard to propagation likelihood and change impact, which results in re-work. Design structure matrix framework is used to capture the dependencies between components. It is revealed that the change requirements execution sequence has a significant effect on the total number of change propagation paths, change steps, distinct change components, and completion time. This approach is illustrated by a case study, which indicates that the proposed methodology can assist the designer in exploring and selecting optimal change propagation paths.


Author(s):  
Sangjin Jung ◽  
Timothy W. Simpson

In this study we investigate how we can effectively redesign a product family using additive manufacturing (AM). Specifically, we propose an integrated approach to product family redesign using platform metrics for a product family that uses AM. The proposed approach can help identify what to platform and how to platform with AM. We employ a variety metric to measure the amount of redesign for each component, a commonality metric to capture different types of commonality, and Design Structure Matrix (DSM) to analyze a platform architecture. After integrating these metrics, we can optimize balancing the tradeoffs between commonality and differentiation of components. Components that offer little variety for the market can be made common and part of the platform while components that must be varied to achieve market requirements should not be platformed and may be easily customized with AM. In order to facilitate customization of AM components, we can evaluate redesign of platform interfaces to help embed flexibility and modularity into the product family. To investigate the impact of the integrated approach, we apply the proposed approach to a family of Unmanned Aerial Vehicles (UAVs) as a case study. The results show the proposed approach can be effectively employed to identify ways to redesign the UAV family to improve the balance of commonality and variety of future product offerings.


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.


Author(s):  
Christopher Brooks ◽  
Gregory M. Mocko

This paper details a method of change prediction that builds upon the traditional component-component design structure matrix by incorporating manufacturing costs and modeling higher orders of coupling. A coupling index is also created to assess the level of coupling between interfaced features. A BMW X5 headliner assembly and a Ryobi hand-held drill are analyzed using the proposed method to identify the features and components that offer the greatest ease of change. The analysis of the BMW X5 headliner shows that the rectangular slots on the bottom of the adapter plates are the feature that offers the greatest ease of change, while the handles are the component that offers the greatest ease of change. For the Ryobi drill, the battery is identified as the component that offers the greatest ease of change. The proposed method of change prediction proves to be an effective and efficient means of modeling change propagation and assessing change impact.


Author(s):  
Ying Xiang ◽  
Rong Mo ◽  
Hu Qiao

A change and maintenance method is proposed based on the change propagation model and the procedure model information for solving data maintenance problem of 3D machining procedure model change and to help improve the flexibility of 3D machining procedure model and the reliability of the change result. Design Structure Matrix (DSM) is established by analyzing the relationships between machining features in the machining process route to obtain all possible propagation paths. On the basis of obtained paths, machining features that may be affected and machining procedure models related to machining features are stored by the structured method. Algorithms to solve the problems of adding, deleting and modifying machining features are proposed to realize the change and maintenance of 3D machining procedure model by combining machining procedure model’s information in the machining process route. In the end, some numerical examples are given to explain both rationality and feasibility of the proposed approaches.


2013 ◽  
Vol 135 (8) ◽  
Author(s):  
Ying Liu ◽  
Soon Chong Johnson Lim ◽  
Wing Bun Lee

Product family design (PFD) is a widely adopted strategy for product realization, especially when design requirements are diversified and multi-faceted. Due to ever-changing customer needs and the increasingly complex and integrated product design structure, PFD and its optimization have been concerned more about a rapid and contextual product analysis and variant derivation based on a multi-objective optimization scheme subject to design concerns, which are often cross disciplinary, such as product service, carbon footprint, user experience, esthetics, etc. Existing PFD modeling approaches, which are primarily structured using component attributes and assembly relationships, possess notable limitations in representing complex component and design relationships. Hence, it has restricted comprehensive PFD analysis in an agile and contextual manner. Previously, we have studied and demonstrated the feasibility of using ontology for product family modeling and have suggested a framework of faceted information search and retrieval for product family design. In this paper, several new perspectives towards PFD based on ontology modeling are presented. Firstly, new metrics of ontology-based commonality that better reveal conceptual similarity under various design perspectives are formed. Secondly, faceted concept ranking is proposed as a new ranking approach for ontology-based component search under complex and heterogeneous design requirements. Thirdly, using these ranked results, a platform selection approach that considers a maximum aggregated ranking with a minimal platform modification among various platform choices is researched. From the selected platform and the newly proposed metrics, a modified multi-objective evolutionary algorithm with an embedded feature of configuration incompatibility check is studied and deployed for the optimal selection of components. A case study of PFD using four laptop computer families is reported as our first attempt to showcase how faceted component analysis, selection, and optimization can be accomplished based on the proposed family ontology.


Author(s):  
Noemi Chiriac ◽  
Katja Ho¨ltta¨-Otto ◽  
Dusan Lysy ◽  
Eun Suk Suh

All system development projects involve analysis of the system architecture. However, it has been assumed thus far that there is some correct system decomposition that can be used in the architectural analysis. The sensitivity of the results to the chosen level of decomposition has not been considered. We represent forty eight idealized system architectures and a real complex system as a Design Structure Matrix at two different levels of decomposition. We analyze these architectures for their degree of modularity. We find that the degree of modularity can vary for the same system when the system is represented at the two different levels of granularity. For example, the printing system used in the case study is considered slightly integral at a higher level of decomposition and quite modular at a lower level of decomposition. We further find that even though the overall results can be different depending on the level of decomposition, the direction of change toward more modular or more integral can be calculated the same regardless of the level of decomposition. Level of decomposition can distort the results of architectural analysis and care must be taken in defining the system decomposition for any analysis.


2015 ◽  
Vol 1115 ◽  
pp. 606-609
Author(s):  
Irfan Hilmy ◽  
Erry Yulian T. Adesta ◽  
Nur’atiyah Najwa binti Samsul Bahrim ◽  
Aini Nurrasyidah binti Azhar ◽  
Siti Fatimah binti Mohd Shahar

In developing any engineering product, it is crucial to develop product architecture of the system. An engineering team who responsible in developing different module should work together in order to obtain product architecture as a blueprint of the project. It is common to breakdown system or product into smaller elements as follows: subsystems, modules and component and define the interactions between components and subsystems. In order to achieve the performance of the system as a whole, these elements must be integrated to work together. One of the method to develop product architecture is Design Structure Matrix (DSM). The use of DSM for Development of Product architecture with case study a CNC router platform is presented. Using DSM, order of product development can be optimized and any form of wastes can be eliminated in the design stage.


Author(s):  
Ammar Nik Mutasim ◽  
Dillan Sayers ◽  
Felipe M. Pasquali ◽  
John F. Hall

Introducing new technology to an inexpert society can be challenging. Rural communities are often deprived of technology that promotes a higher standard of living. Today there are sustainable energy solutions that, if correctly implemented, could close this gap. The literature indicates that a large number of humanitarian and relief projects failed because the communities were not able to perform the equipment maintenance. This work proposes a method for identifying the capability of a region to perform the necessary maintenance of a new technology. The method works by measuring both the system requirements and region abilities and resources. The proposed technique is devised with a design structure matrix in which each subsystem maintainability is analyzed. The resulting framework generates a comparative analysis that contributes to the decision making process. A case study is performed to evaluate the model on selecting an energy solution for a given community. The results provide designers a better understanding on the dependence of each component maintainability. Furthermore, it provides insights on the effect of region abilities and resources in the maintainability of a system.


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