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Environmental and economic sustainability-aware resource service scheduling for industrial product service systems

Author

Listed:
  • Kai Ding

    (Xi’an Jiaotong University)

  • Pingyu Jiang

    (Xi’an Jiaotong University)

  • Mei Zheng

    (Xi’an Jiaotong University)

Abstract

As the sustainable development and servitization in manufacturing industry boost, industrial product service system (iPSS) has especially attracted much attention, due to its ability to provide systematic solutions by integrating industrial products and associated services. During the iPSS life cycle, product-service activities in the running phase take up the main part in time view. To improve sustainability, the efficiency and environmental impact in this phase is urgently required. Thus different kinds of resources for product-services need to be well allocated to improve hybrid economic and environmental benefits. In this paper, we discussed a multi-objective resource service scheduling problem in iPSS running phase, and consider the objectives of comprehensive customer satisfaction degree, resource utility efficiency and product-service cost. Further, the problem is formulated based on the above three objectives. Besides, a modified NSGA-II algorithm is described to solve the problem. A demonstrative case from a Blower Power Company of China is studied to verify the application of the proposed model. It is expected that our model would provide a deep insight into the sustainable resource service scheduling for iPSS suppliers who provide product-services for multiple customers.

Suggested Citation

  • Kai Ding & Pingyu Jiang & Mei Zheng, 2017. "Environmental and economic sustainability-aware resource service scheduling for industrial product service systems," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1303-1316, August.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:6:d:10.1007_s10845-015-1051-7
    DOI: 10.1007/s10845-015-1051-7
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    References listed on IDEAS

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    Cited by:

    1. Riccardo Brozzi & David Forti & Erwin Rauch & Dominik T. Matt, 2020. "The Advantages of Industry 4.0 Applications for Sustainability: Results from a Sample of Manufacturing Companies," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    2. Nicolas Haber & Mario Fargnoli, 2022. "Product-Service Systems for Circular Supply Chain Management: A Functional Approach," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    3. Hendrik S. Birkel & Johannes W. Veile & Julian M. Müller & Evi Hartmann & Kai-Ingo Voigt, 2019. "Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers," Sustainability, MDPI, vol. 11(2), pages 1-27, January.
    4. Kai Meng & Xiaoming Qian & Peihuang Lou & Jiong Zhang, 2020. "Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 183-197, January.
    5. Till Blüher & Theresa Riedelsheimer & Sonika Gogineni & Antje Klemichen & Rainer Stark, 2020. "Systematic Literature Review—Effects of PSS on Sustainability Based on Use Case Assessments," Sustainability, MDPI, vol. 12(17), pages 1-26, August.
    6. Wieslaw Urban & Krzysztof Łukaszewicz & Elżbieta Krawczyk-Dembicka, 2020. "Application of Industry 4.0 to the Product Development Process in Project-Type Production," Energies, MDPI, vol. 13(21), pages 1-20, October.
    7. Simge Yelkenci Kose & Ozcan Kilincci, 2020. "A multi-objective hybrid evolutionary approach for buffer allocation in open serial production lines," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 33-51, January.

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