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Optimisation of product configuration in consideration of customer satisfaction and low carbon

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  • Dunbing Tang
  • Qi Wang
  • Inayat Ullah

Abstract

Product configuration is one of the key technologies in the environment of mass customisation, and it has been emphasised and concerned by much research. However, previous studies mostly focus on the cost or the customer utility, but ignore the environmental concern which becomes an important design criterion due to the rising awareness of environmental protection. Moreover, various preferences of customers are also not considered. In this paper, we develop a new bi-objective optimisation model with simultaneous consideration of customer satisfaction and the environmental impact in product configuration. Two objectives of our model are the customer satisfaction index (CSI) and greenhouse gas (GHG) emissions of products. The CSI is presented for the evaluation of customer satisfaction and the GHG emission model is developed to assess the environmental impact of the product. Essential constraints, such as selection, cost and compatibility, are also considered in the model. In addition, a two-phase approach is proposed to solve the optimisation model. Finally, the effectiveness of the proposed method is demonstrated through a case study.

Suggested Citation

  • Dunbing Tang & Qi Wang & Inayat Ullah, 2017. "Optimisation of product configuration in consideration of customer satisfaction and low carbon," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3349-3373, June.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:12:p:3349-3373
    DOI: 10.1080/00207543.2016.1231430
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    References listed on IDEAS

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    Cited by:

    1. Chunming Xu & Xiaojie Liu & Chenchen Wu & Baiyun Yuan, 2020. "Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations," Energies, MDPI, vol. 13(4), pages 1-20, February.
    2. Zhang, Linda L. & Lee, Carman K.M. & Akhtar, Pervaiz, 2020. "Towards customization: Evaluation of integrated sales, product, and production configuration," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Ziao Zhou & Yuan Li & Yongli Zhang, 2023. "Carbon Offsetting-Driven Multi-Actor Low-Carbon Collaborative Evolutionary Game Analysis," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    4. Qi Wang & Dunbing Tang & Shipei Li & Jun Yang & Miguel A. Salido & Adriana Giret & Haihua Zhu, 2019. "An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    5. Linda Zhang & Carman K.M. Lee & Pervaiz Akhtar, 2020. "Towards customization: Evaluation of integrated sales, product, and production configuration," Post-Print hal-03276827, HAL.
    6. Shuangyao Zhao & Qiang Zhang & Zhanglin Peng & Yu Fan, 2020. "Integrating customer requirements into customized product configuration design based on Kano’s model," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 597-613, March.
    7. Qi Wang & Peipei Qi & Shipei Li, 2021. "A Concurrence Optimization Model for Low-Carbon Product Family Design and the Procurement Plan of Components under Uncertainty," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
    8. Dong Yang & Jia Li & Bill Wang & Yong-ji Jia, 2020. "Module-Based Product Configuration Decisions Considering Both Economical and Carbon Emission-Related Environmental Factors," Sustainability, MDPI, vol. 12(3), pages 1-13, February.

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