IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n6298982.html

Optimizing Product Configuration Problems with Multisourcing Supplier Selections under Both Carbon Cap and Carbon Tax Regulations

Author

Listed:
  • Jia Li
  • Dong Yang

Abstract

Product configuration is a key enabling technology for mass customization production. Previous studies mainly focus on the solving technologies for obtaining a feasible configuration or optimal configuration but ignore environmental factors like CO2 emissions, especially the environmental regulations from international organizations. In this article, we address product configuration optimization problems considering both carbon cap and carbon tax regulations. A two‐stage approach that combines both Particle Swarm Optimization (PSO) and a greedy algorithm is presented to solve the product configuration problems with carbon emission concerns. A case study of a configurable ranger‐drilling machine is illustrated to demonstrate the effectiveness of the presented approach. The impacts of carbon cap and carbon tax regulations on configuration results are compared. Further, the models are extended to analyze the effects of single‐sourcing and multisourcing on product configuration. The analysis shows that multisourcing in combination with carbon tax regulation can facilitate a manufacturer to provide more green and low‐carbon customized products for customers. Numerical experiments are conducted to validate the effectiveness of the model and the efficiency of the proposed solution method.

Suggested Citation

  • Jia Li & Dong Yang, 2022. "Optimizing Product Configuration Problems with Multisourcing Supplier Selections under Both Carbon Cap and Carbon Tax Regulations," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:6298982
    DOI: 10.1155/2022/6298982
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/6298982
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/6298982?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    2. Lee, Cheng F. & Lin, Sue J. & Lewis, Charles, 2008. "Analysis of the impacts of combining carbon taxation and emission trading on different industry sectors," Energy Policy, Elsevier, vol. 36(2), pages 722-729, February.
    3. 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.
    4. Song, Jong-Sung & Lee, Kun-Mo, 2010. "Development of a low-carbon product design system based on embedded GHG emissions," Resources, Conservation & Recycling, Elsevier, vol. 54(9), pages 547-556.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qin Yang & Xuzheng Li & Qunqun Yin & Fan Liu & Weijie Chang, 2022. "Research on Customer Requirement‐Driven Individualized Product Module Division and Configuration Based on Community Structure," Advances in Mathematical Physics, John Wiley & Sons, vol. 2022(1).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guangyu Zou & Zhongkai Li & Chao He, 2023. "A New Product Configuration Model for Low Product Cost and Carbon-Neutral Expenditure," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    2. Xindong Wang & Chun Yan & Wei Liu & Xinhong Liu, 2022. "Research on Carbon Emissions Prediction Model of Thermal Power Plant Based on SSA-LSTM Algorithm with Boiler Feed Water Influencing Factors," Sustainability, MDPI, vol. 14(23), pages 1-26, November.
    3. Li, Y.P. & Huang, G.H. & Li, M.W., 2014. "An integrated optimization modeling approach for planning emission trading and clean-energy development under uncertainty," Renewable Energy, Elsevier, vol. 62(C), pages 31-46.
    4. Wen-Hsien Tsai & Shang-Yu Lai & Chu-Lun Hsieh, 2023. "Exploring the impact of different carbon emission cost models on corporate profitability," Annals of Operations Research, Springer, vol. 322(1), pages 41-74, March.
    5. Jinghua Zhang & Wenzhen Zhang, 2013. "Will Carbon Tax Yield Employment Double Dividend for China?," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 3(4), pages 124-131, April.
    6. Ling Shen & Fengming Tao & Songyi Wang, 2018. "Multi-Depot Open Vehicle Routing Problem with Time Windows Based on Carbon Trading," IJERPH, MDPI, vol. 15(9), pages 1-20, September.
    7. Abdul Salam Khan & Bashir Salah & Dominik Zimon & Muhammad Ikram & Razaullah Khan & Catalin I. Pruncu, 2020. "A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach," Energies, MDPI, vol. 13(24), pages 1-25, December.
    8. Hu, Guangyu & Rong, Ke & Shi, Yongjiang & Yu, Jing, 2014. "Sustaining the emerging carbon trading industry development: A business ecosystem approach of carbon traders," Energy Policy, Elsevier, vol. 73(C), pages 587-597.
    9. Yi Zhang & Guowei Hua & T. C. E. Cheng & Juliang Zhang, 2020. "Cold chain distribution: How to deal with node and arc time windows?," Annals of Operations Research, Springer, vol. 291(1), pages 1127-1151, August.
    10. Yiye, Zhang & Mo, Wang & Yuxiu, Chen & Wenze, Han, 2025. "Quantitative evaluation of the civil aviation green development policy of China based on the policy modeling consistency (PMC) index model," Transport Policy, Elsevier, vol. 162(C), pages 171-187.
    11. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    12. Wenjia Zheng & Xinge Ji & Yujian Zou & Long Wang, 2025. "Optimization of Vehicle Routing in Green Cold Chain Logistics Distribution Considering Customer Satisfaction," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2025(1).
    13. Jing Chen & Pengfei Gui & Tao Ding & Sanggyun Na & Yingtang Zhou, 2019. "Optimization of Transportation Routing Problem for Fresh Food by Improved Ant Colony Algorithm Based on Tabu Search," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
    14. Xujing Zhang & Lichuan Wang & Yan Chen, 2019. "Carbon Emission Reduction of Apparel Material Distribution Based on Multi-Objective Genetic Algorithm (NSGA-II)," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    15. Yang, Wen & Ma, Jianhua & Fan, Ao & Zhang, Jinyi & Pan, Yanchun, 2024. "Effectiveness of policies for electric commercial vehicle adoption and emission reduction in the logistics industry," Energy Policy, Elsevier, vol. 188(C).
    16. Sehrish Malik & DoHyeun Kim, 2019. "Optimal Travel Route Recommendation Mechanism Based on Neural Networks and Particle Swarm Optimization for Efficient Tourism Using Tourist Vehicular Data," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    17. Liu, Xiaoyu & Chen, Dingjiang & Zhang, Wenjun & Qin, Weizhong & Zhou, Wenji & Qiu, Tong & Zhu, Bing, 2013. "An assessment of the energy-saving potential in China's petroleum refining industry from a technical perspective," Energy, Elsevier, vol. 59(C), pages 38-49.
    18. Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    19. Zhixue Zhao & Xiamiao Li & Xiancheng Zhou, 2020. "Optimization of transportation routing problem for fresh food in time-varying road network: Considering both food safety reliability and temperature control," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-19, July.
    20. Longlong Leng & Jingling Zhang & Chunmiao Zhang & Yanwei Zhao & Wanliang Wang & Gongfa Li, 2020. "A novel bi-objective model of cold chain logistics considering location-routing decision and environmental effects," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-29, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:6298982. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.