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An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family

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Abstract

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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Abbreviations

IPCC:

Intergovernmental Panel on Climate Change

BOM:

bill of materials

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Qi Wang, Dunbing Tang, Leilei Yin & Inayat Ullah

  2. Department of Computer Science, Universidad Politécnica de Valencia, Valencia, Camino de Vera s/n, 46071, Spain

    Miguel A. Salido & Adriana Giret

Authors
  1. Qi Wang
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  2. Dunbing Tang
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  3. Leilei Yin
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  4. Inayat Ullah
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  5. Miguel A. Salido
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  6. Adriana Giret
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Corresponding author

Correspondence to Dunbing Tang.

Additional information

Qi Wang Postdoctoral researcher in the Department of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics. His research interest is sustainable design and product optimization design.

Dunbing Tang Professor in the Department of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics. His research interest is product design methodology and intelligent manufacturing system.

Leilei Yin Ph.D. candidate in the Department of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics. His research interest is design change analysis and optimization.

Inayat Ullah Ph.D. candidate in the Department of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics. His research interest is engineering design and engineering change propagation.

Miguel A. Salido Professor in the Department of computer science, Universidad Politécnica de Valencia. His research interest is constraint programming and its application to planning and scheduling problems.

Adriana Giret Professor in the Department of computer science, Universidad Politécnica de Valencia. Her research interest is intelligent manufacturing systems.

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Wang, Q., Tang, D., Yin, L. et al. An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family. Int. J. Precis. Eng. Manuf. 19, 1715–1726 (2018). https://doi.org/10.1007/s12541-018-0199-4

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  • DOI: https://doi.org/10.1007/s12541-018-0199-4

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