Determining Relationships Between Modularity and Cost in Product Retirement

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.

Author(s):  
Xiaoxia Lai ◽  
John K. Gershenson

Researchers have expanded the definition of product modularity from function-based modularity to life-cycle process-based modularity. In parallel, measures of product modularity have been developed as well as corresponding modular product design methods. However, a correct modularity measure and modular design method are not enough to realize modular product design. To apply the measure and design method correctly, product representation becomes an important aspect of modular design and imperative for realizing the promised cost savings of modularity. In this paper, a representation for retirement process-based modular design has been developed. Built upon previous representations for assembly and manufacturing-based product design, the representation includes a process similarity matrix and a process dependency matrix. The retirement process-based similarity is based on the similarity in components’ post-life intents (recycling, reuse, disposal), and either the degree of their material compatibility if the components will be recycled, or their disassembly direction or disassembly tools if they need to be disassembled from each other for retirement. Process similarity within a module leads to increased process efficiency (the elimination of non-value added tasks) from the sharing of tooling/equipment. Retirement process-based dependency is developed based on disassembly difficulty, one aspect of the physical interactions between components. Retiring components together as a module to eliminate disassembly and differential processing and reducing the disassembly difficulty between the modules can increase the efficiency of the retirement process. We have first presented which process elements we should consider for defining retirement process similarity and dependency, and then constructed the respective similarity and dependency factors tables. These tables include similarity and dependency factors, which, along with their quantifications, are used to determine a product’s modular architecture to facilitate the retirement process. Finally, a fishing reel is used to illustrate how to apply these factors tables to generate the similarity and dependency matrices that represent a product for retirement-process based modular design. Using these representations as input to the DSM-based modular design methods, we can achieve a design with a modular architecture that improves the retirement process efficiency and reduces retirement costs.


Author(s):  
Cari R. Bryant ◽  
Karthik L. Sivaramakrishnan ◽  
Michael Van Wie ◽  
Robert B. Stone ◽  
Daniel A. McAdams

This paper presents a redesign method supporting sustainable design of products. The method correlates product modularity with various life cycle directions at the conceptual stage of design. In the case of product redesign, the modular design approach allows designers to focus on increasing the sustainability of a product in terms of recyclability, disassembly and reduction of resource usage at the conceptual stage. By stepping back to the conceptual design phase and analyzing the product free from its current embodiment solutions, the scope of redesign and the potential product improvement increases. At this stage of design, the comprehension of the relationship between the various life cycle aspects of the product and the product design is essential. The elimination preference index (EPI) metric, calculated by pair-wise comparison of various factors governing the product design, quantifies the effect of redesign alternatives on product sustainability. The method is applied to the redesign of twelve small-scale consumer products, of which one example is presented here. In all cases, the redesigned products exhibited enhancement in modularity and part count reduction.


Author(s):  
Xiaoxia Lai ◽  
John K. Gershenson

An appropriate modularity representation is of critical importance in modular design. Without an appropriate representation, modular design cannot realize its benefits. In this paper, a representation for DSM-based modular product design is developed that facilitates product modularization with respect to the design process. The representation is based upon previous work presented in this venue that details representations for the assembly and manufacturing processes (Lai and Gershenson, 2007a; Lai and Gershenson, 2007b). The representation for the design process includes a design process similarity matrix and a design process dependency matrix. The definition of design process similarity uses information available in early stage design and is based on the similarity of the design tools and resources required for later stage design. Design process similarity within a module leads to increased design efficiency from the sharing of functional and geometric analyses and possibly the savings of not needing to “un-immerse” from a particular design task to “re-immerse” in the design of the next component. The definition of design process dependency is based on the connectivity caused by components’ design process attributes with the goal of fewer design interactions between different modules. With zero dependencies between modules, we hope to contain the cascade of design changes within each module, and prevent the need to redesign other modules. In this paper, we first present which design process elements we should consider for defining design process similarity and dependency, and then construct respective similarity and dependency factors tables. These tables include similarity and dependency factors, which, along with their values, are important in determining a product’s modular architecture at the early stages of design. Finally, a computer mouse is used to illustrate how to apply these factors tables to generate the similarity and dependency matrices that represent product modularity for the product design process. Using these representations as input to the DSM-based modular design methods, we can achieve a design with a modular architecture that improves design efficiency in the later stages of design. In the future, we hope to extend and generalize the process for developing product modularity representations so that it is applicable across all life-cycle processes.


2010 ◽  
Vol 15 (4) ◽  
pp. 504-511
Author(s):  
Xuan-liang Zheng ◽  
Yun-long Wang ◽  
Yan Lin

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Xin Wang ◽  
Bo Luo

The development of customized service is an important way to transform and upgrade China’s mining industry. However, in practice, there remain problems, such as the slow market response speed of service providers and the contradiction between the large-scale development of service providers and the personalized service needs of service demanders. This paper uses the theory and method of service modular design to solve these problems and explores the process-based service modular design method. Service modular design depends largely on the determination of the relationship between service activities and the reasonable division of modules. However, previous research has rarely made use of modular design methods and modeling tools in the mining service context. At the same time, evaluations of the relationship between service activities relying on knowledge and those relying on experience have been inconclusive. Therefore, this paper proposes a service modularization design method based on the fuzzy relation analysis of a design structure matrix (DSM) that solves the optimal module partition scheme. Triangular fuzzy number and fuzzy evidence theory are used to evaluate and fuse the multidimensional and heterogeneous relationship between service activities, and the quantitative processing of the comprehensive relationship between service activities is carried out. On this basis, the service module structure is divided, followed by the construction of the mathematical programming model with the maximum sum of the average cohesion degree in the module and the average coupling degree between modules as the driving goal. The genetic algorithm is used to solve the problem, and the optimal module division result is obtained. Finally, taking the service modular design of SHD coal production enterprises in China as an example, the feasibility of the proposed method is verified.


2011 ◽  
Vol 121-126 ◽  
pp. 632-636
Author(s):  
Hu Qiao ◽  
Hai Cheng Yang ◽  
Rong Mo ◽  
Dong Liang Zhang

In order to solve problems concerning the complex module replacement and positioning difficulties in the modular design process, the control-model which reflects the main structure of product is established. Control-model bases itself on the product’s absolute coordinate system, and by establishing datum plane and sketches it reflects the main structure of products. According to the relationship between modules, modules can be partitioned into main-modules and attached-modules. The main- and attached-modules established by using control-model as seed file contain relevant information of the control-model, therefore the method of modules’ rapid positioning by comparison and updating as well as module change strategies can be used to realize modular design process without assembly constraints. Finally, taking a certain type of tank semi-trailer as an example, this paper makes detailed explanation about the modular design method based on control-model.


2011 ◽  
Vol 228-229 ◽  
pp. 158-161 ◽  
Author(s):  
Jun Xia Zhang ◽  
Wei Wei Wang ◽  
Sai Sai Cao

To achieve sustainable development, conserve energy and reduce emission are the themes of modern society. Life Cycle Design is an important design philosophy while Modular Design is one of the modern design ways which produced in the economic development. This paper presents a more perfect Modular Design based on Life Cycle Design. This paper will be developed in three parts: the first part introduces the basic concepts of the Life Cycle Design, Modular Design and the relationship between them; the second analyses the necessity of Modular Design in all stages of the product life cycle and the matter to be attended to; and third presents the method and steps of the Modular Design based on the Life Cycle Design and takes the design of range hood as an example in order to explain it.


2013 ◽  
Vol 365-366 ◽  
pp. 545-548 ◽  
Author(s):  
Ji Rong Yang ◽  
Qi Yuan Liu

In the green modular design method that oriented remanufacturing engineering, the equipment remanufacturing is taken as the design purpose, the modular design method as the basis, the green design and the modern mathematic method as the auxiliary means. In the beginning of remanufacturing, that is, before the birth of the entity life, the environmental attributes of the equipment and the reuse of the parts in the full life cycle are fully taken into account, and the green degree reflecting the environmental characteristics and the module degrees reflecting the functionality and usability features are evaluated and tested. The proposed design method can meet environmental attributes of the equipment and remanufacturing requirements at the same time, and it is satisfied with the fundamental purpose of remanufacturing.


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.


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