scholarly journals Identification of Influential Modules Considering Design Change Impacts Based on Parallel Breadth-First Search and Bat Algorithm

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):  
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.


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.


2011 ◽  
Vol 128-129 ◽  
pp. 1468-1471 ◽  
Author(s):  
Ji Hong Yan ◽  
Chun Hua Feng

With increasing sustainable development consciousness, sustainable design plays an important role not only in design phase but also in manufacturing process. This paper proposes a modular design methodology for achieving sustainable design as well as fulfilling functional requirements. Factors related to function and sustainability of products such as material, manufacturability, component life and so on are defined as modular drivers. Design structure matrix, a structured method which has advantages on representing and analyzing interaction relations among system elements, is employed to establish correlation matrix between components. K-means algorithm is used to integrate the basic components into design modules based on their correlation distance. Furthermore, an evaluation model is established for assessing sustainability of modular products. Finally, a reduction gear is used as a case study example.


Author(s):  
Hakyeon Lee ◽  
Hyeonju Seol ◽  
Nakhwan Sung ◽  
Yoo Suk Hong ◽  
Yongtae Park

Since parts and systems are closely linked to each other in complex engineering products, a change in a single part or system causes changes in other parts or system, which in turn propagates further. This study aims to propose a novel approach to analysis of design change impacts in modular products with consideration of change propagation. The proposed approach measures the relative change impact (RCI) of each part or module on the whole product using analytic network process (ANP). A case study on the automobile system is presented to illustrate the proposed approach. The practical use of RCI is also discussed.


2002 ◽  
Vol 10 (2) ◽  
pp. 153-164 ◽  
Author(s):  
J. C. Sand ◽  
P. Gu ◽  
G. Watson

Product modularization aims to improve the overall design, manufacturing, operational, and post-retirement characteristics of products by designing or redesigning the product architectures. A successful modular product can assist the reconfiguration of products, while reducing the lead-time of design and manufacturing and improving the ability for upgrading, maintenance, customization and recycling. This paper presents a new modular design method called the House Of Modular Enhancement (HOME) for product redesign. Information from various aspects of the product design, including functional requirements, product architecture and life cycle requirements, is incorporated in the method to help ensure that a modularized product would achieve the objectives. The HOME method has been implemented in a software system. A case study will be presented to illustrate the HOME method and the software.


Author(s):  
Tian-Li Yu ◽  
Ali A. Yassine ◽  
David E. Goldberg

The architecture of a product is determined by both the elements that compose the product and the way in which they interact with each other. In this paper, we use the design structure matrix (DSM) as a tool to capture this architecture. Designing modular products can result in many benefits to both consumers and manufacturers. The development of modular products requires the identification of highly interactive groups of elements and arranging (i.e. clustering) them into modules. However, no rigorous DSM clustering technique can be found in product development literature. This paper presets a review of the basic DSM building blocks used in the identification of product modules. The DSM representation and building blocks are used to develop a new DSM clustering tool based on a genetic algorithm (GA) and the minimum description length (MDL) principle. The new tool is capable of partitioning the product architecture into an “optimal” set of modules or sub-systems. We demonstrate this new clustering method using an example of a complex product architecture for an industrial gas turbine.


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.


2004 ◽  
Vol 126 (5) ◽  
pp. 788-797 ◽  
Author(s):  
P. John Clarkson ◽  
Caroline Simons ◽  
Claudia Eckert

In redesign and design for customization, products are changed. During this process a change to one part of the product will, in most cases, result in changes to other parts. The prediction of such change provides a significant challenge in the management of redesign and customization of complex products where many change propagation paths may be possible. This paper reports on an analysis of change behavior based on a case study in Westland Helicopters of rotorcraft design; the development of mathematical models to predict the risk of change propagation in terms of likelihood and impact of change; and the development of a prototype computer support tool to calculate such information for a specific product. With knowledge of likely change propagation paths and their impact on the delivery of the product, design effort can be directed towards avoiding change to “expensive” sub-systems and, where possible, allowing change where it is easier to implement while still achieving the overall changes required.


Author(s):  
Y. Zhang ◽  
J. K. Gershenson ◽  
S. Allamneni

Abstract Modular product design allows the designer to control the degree to which changes in requirements affect the product. By promoting interchangeability, modularity also gives designers more flexibility, with decreased cycle time, to meet changing requirements. Specific advantages associated with modular products include economies of scale, standardization of assemblies, minimization of assembly time, improved serviceability, and many more. Modular architecture is traditionally made up of functionally independent clusters of components. Past definitions of modularity have centered on a one-to-one correspondence between form and function. An expanded definition of product modularity has been used, which not only includes function, but also form and life-cycle process (manufacture, assembly, retirement, etc.) relationships. Modules contain a large number of components having very few similarities and dependencies on components not in the same module. This definition of product modularity differs from most, due to the inclusion of the similarity aspect. Modular products that are modular with respect to retirement are well designed for reuse, remanufacturing, recycling, and disposal. Apart from addressing the incorporation of product retirement into product modularity, a comparison of retirement costs and product modularity has been shown in this paper. Comparing costs with modularity is essential since cost is a major factor in the success of a product. Any design change made to improve retirement modularity will be practical only if the benefits accrued from an environment-friendly design are coupled with decreased costs due to the design change. One question that remains to be addressed is — do improvements in product modularity always decrease retirement costs? In this paper, an existing modular design method was focused on product retirement. Our initial study of the modularity-cost relationship is based upon the retirement of a consumer flashlight. We took a single flashlight and redesigned it, making it more modular, using a modular design method. The method has a set of guidelines helping in direct product development towards modular products. These are: 1. Eliminate the modules if they are not necessary. 2. Eliminate individual components of the modules. 3. Shift die components to other modules to increase the relative modularity of the product. 4. Redesign the attributes of the components to decrease or eliminate similarities or dependencies with outside components or increase similarities with components of the same module. After completing the modular design method, we measured the product modularity and retirement cost of the product at each intermediate stage of redesign. Costs associated with retirement including, recycling, reuse, remanufacturing, and disposal were measured at each stage using the cost equations listed below. The result of the research in this paper is studying the relationship between measured retirement modularity and product retirement costs. Statistical analysis of the flashlight data was carried out to look at the relationships between relative modularity, number of design changes made, and retirement cost. Our initial study of the relationship between product modularity and product retirement costs showed several trends. As was the hypothesis of this work, as product modularity and retirement modularity increase, product retirement costs tend to decrease. However, this trend is not as strong as previous literature has assumed. Our study of this hypothesis was complete but limited in scope. We have begun follow on research that expands this work to additional products and additional life-cycle stages.


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