دانلود مقاله ISI انگلیسی شماره 1508
عنوان فارسی مقاله

طراحی ماژولار برای حمایت از مهندسی چرخه عمر سبز

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
1508 2008 14 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Modular design to support green life-cycle engineering
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 34, Issue 4, May 2008, Pages 2524–2537

کلمات کلیدی
چرخه عمر مهندسی سبز - طراحی ماژولار - گروه بندی الگوریتم ژنتیک - شدت رابط - تجزیه و تحلیل سبز -
پیش نمایش مقاله
پیش نمایش مقاله طراحی ماژولار برای حمایت از مهندسی چرخه عمر سبز

چکیده انگلیسی

The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers’ needs. However, frequent variation of product specifications causes the assembly and disassembly of components and modules to become more and more complicated. As a result, the issue of product modular design is a problem worthy of concern. In this study, engineering attributes were added to the liaison graph model for the evaluation of part connections. The engineering attributes added, including contact type, combination type, tool type, and accessed direction, serve to offer designers criteria for evaluating the component liaison intensity during the design stage. A grouping genetic algorithm (GGA) is then employed for clustering the components and crossover mechanisms are modified according to the need of modular design. Furthermore, a reasonable green modular design evaluation is conducted using the green material cost analysis. According to the results, adjusted design proposals are suggested and materials that cause less pollution are recommended to replace the components with pollution values higher than those in the module. Finally, the authors use Borland C++ 6.0 to evaluate the system and clustering method. To illustrate the methodology proposed in this study, a table lamp is offered as an example.

مقدمه انگلیسی

In this study, new methodologies for evaluating product modularity from the viewpoint of green life cycle are proposed. First, a score system using the liaison graph was adopted to evaluate the liaison intensity between components. Moreover, a GGA was adopted for the clustering of modules. Finally, green pollution and cost analysis was conducted to evaluate the clustering result. When the material of components is changed, the product component design is also modified, and so are the relations of liaison intensity between components. Through a cyclic adjustment procedure of the liaison intensity between components and the design modification, the green modular design can be achieved. According to the green-oriented product design, it may be the case that the new design will bring forth higher costs. But it is the enterprise’s obligation to pay more attention to the environmental protection. In the future, related laws of the environmental protection policy will be drawn up and put into action to regularize the enterprise activities. In addition, enterprises should take responsibility for the increasingly serious environmental pollution problem. The concept of green life cycle should be added in the total supply chain. It is evident that green-oriented modular design is just a general issue. In the future, focus can be put on the integration of modular design method and other related product development approaches so as to multiple the suggestions of product design. Besides, the green pollution standard and information database should also be established as references for designers. In addition, proper decision-making strategies can be added to help evaluate the liaison intensity between components, making the algorithm more objective and flexible.

نتیجه گیری انگلیسی

Not until recent years have people realized the importance of environmental protection. People pay more attention to the environment they are living in and the way people deal with the limited resources. Among resource disposal methods, recycling and garbage classification are two methods widely applied. These ways, however, are passive methods in the launch, usage and damage of products. Moreover, fierce market competition is shortening the product life cycle and the passive resource recycling approach can no longer cope with the ever-increasing burden current products have on the environment. Therefore, it is important to maximize the usage percentage of resources and minimize the damage to the environment in the early product design stage. This kind of more aggressive design tendency is referred to as green life-cycle engineering design (Otto and Wood, 2001 and Tseng and Chen, 2004). The so-called product life cycle refers to the total amount of time from material, manufacturing, assembly, consumer use, and final disposal or recycle of a product, and green life cycle is mainly determined by the last two stages, product use, disposal or recycle. While the use of a product will affect its life span, the disposal and recycle of a product will definitely affect the environment and the resource availability. To prolong the product’s life cycle and to make the most of resources, the end of the product life cycle does not imply the disposal of the components. Instead, we need to solve the problem from the root of the enterprise activities, especially from the R&D of new products (Tseng & Chen, 2004). Many researchers have explored the issue from different points of view, such as design for environment (DFE), design for recycling (DFR), and design for disassembly (DFD) (Güngör and Gupta, 1999 and Lambert, 2003). Due to the fact that well-designed modular structures can improve product life-cycle activities, modularity plays a more important role than the whole product life-cycle approach. For example, not only will common modules increase the chances of efficient reuse and recycling operation, they also feature ease of upgrade and maintenance, ease of product diagnosis, repair, and disposal, and so on. Taking green life cycle into consideration, the authors attempted to apply the green modular concept to product design. Advantages for this study are listed as follows (Gu and Sosale, 1999, Otto and Wood, 2001 and Zhang and Gershenson, 2003): (1) Reexamination of product functions and specifications ensures that the goal of environmental protection can be achieved. (2) Reduction in product assembly time can enhance the efficiency of production. (3) Products or product components can be recycled, reused and disposed of more easily. (4) The life-cycle cost estimation enables designers to bring product cost into control. There are different perspectives with respect to measuring the product modularity. Jose and Tollenaere (2005) had made a comprehensive review regarding the modular design issue. In Section 2, the different viewpoints will be discussed. In the past, most conceptual descriptions have been rendered regarding the green-oriented modular study but a scientific methodology is rarely seen. In our study, a new methodology of green-oriented modular design will be proposed in Section 3. The approach comprises the following three parts: (1) Clarifying the liaison intensity of components: in addition to clarifying the liaison relationships of components through visualized diagrams, the liaison intensity of components is decided by their engineering attributes. (2) The clustering algorithm: the goal of clustering is to assign the components whose liaison intensities are stronger in the same module. In this way, the liaison intensities among different modules are relatively weaker, indicating that it is easy to connect the components if they are assigned to the same module. (3) Green pollution and cost analysis: while changing the design specification, designers need to green pollution take and costs into consideration so that they can work out the proper design ideas in accordance with the material property to fulfill the product functions. These three parts will be discussed in Sections 4, 5 and 6 respectively. In Section 7, the design of a table lamp will be used to illustrate the methodology proposed in this study. Finally, conclusions are made in Section 8.

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