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- 저자 : Inayat Ullah (검색결과 2 건)
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An Optimization Model for Low Carbon Oriented Modular Product Platform Planning (MP3)
Qi Wang,Dunbing Tang,Leilei Yin,Inayat Ullah,Libin Tan,Tao Zhang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.5 No.1
Consumers, industry, and government entities put more focus on the global warming. With this point in view, enterprises have started to take into account of the low carbon idea to develop products. Recently, lots of firms are using the Modular Product Platform Planning (MP3) between product generations for the rapid update of products with lesser production costs and time to market. Traditionally, MP3 mainly concerns on module sharing between product generations in modular planning, but pays no attention to the environmental concern which becomes an important design criterion due to the rising awareness of environmental protection. In this paper, an optimization model for low carbon oriented MP3 is presented. To support low carbon oriented MP3, this article proposed a probability approach to evaluate the scheme of modular planning for MP3. Meanwhile, a measurement method for low carbon performance of modular planning is provided. Then, an optimization model for low carbon oriented MP3 is formulated to determine the modular planning in pursuit of maximizing the low carbon performance of the product with controlling the implementation probability of MP3. Furthermore, an Adaptive Memetic Algorithm (AMA) is developed for solving the optimization problem. Finally, a case study is proposed to validate the effectiveness of the proposed approach.
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An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family
Qi Wang,Dunbing Tang,Leilei Yin,Inayat Ullah,Miguel A. Salido,Adriana Giret 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.11
New stricter environmental regulations and consumer rising issues are making greenhouse gases (GHG) emission an increasing and urgent concern for manufacturing companies. Companies and researchers are seeking appropriate methods to reduce GHG emission of the manufactured products. Previous studies on low-carbon product design mainly concern on a single product. Currently, it is common to design a product family instead of a single product for increasing varieties to satisfy customers’ requirements. Owing to the difference in design methods, the low-carbon design method for a single product cannot handle a product family. In addition, nowadays, the sourcing strategy is widely adopted by companies. A key problem of the procurement is supplier selection. The supplier selection affects not only profit but also GHG emission. However, it has not been simultaneously considered in low-carbon product design. In this article, an optimization model for coordinating low-carbon design of product family and supplier selection is proposed. In the model, the profit and the GHG emission of a product family are taken into consideration at the same time. Moreover, a genetic algorithm is developed to solve the established model. Finally, a case study is performed to verify the validity of the proposed approach.
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