Environmental and economic sustainability-aware resource service scheduling for industrial product service systems | Journal of Intelligent Manufacturing Skip to main content

Advertisement

Springer Nature Link
Log in

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

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Bielik, N., & Ahmad, I. (2012). Cooperative versus non-cooperative game theoretical techniques for energy aware task scheduling. In IEEE 2012 international green computing conference (IGCC) (pp. 1–6).

  • Bilbao-Terol, A., Arenas-Parra, M., Cañal-Fernández, V., & Antomil-Ibias, J. (2014). Using TOPSIS for assessing the sustainability of government bond funds. Omega, 49, 1–17.

    Article  Google Scholar 

  • Brodsky, A., Shao, G., & Riddick, F. (2014). Process analytics formalism for decision guidance in sustainable manufacturing. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0892-9.

  • Cai, Z., Li, X., & Chen, L. (2012). Dynamic programming for services scheduling with start time constraints in distributed collaborative manufacturing systems. In 2012 IEEE international conference on systems, man, and cybernetics (SMC), IEEE (pp. 803–808).

  • Cerinšek, G., Petersen, S., & Heikura, T. (2013). Contextually enriched competence model in the field of sustainable manufacturing for simulation style technology enhanced learning environments. Journal of Intelligent Manufacturing, 24, 441–455.

    Article  Google Scholar 

  • Cheng, Y., Tao, F., Liu, Y., Zhao, D., Zhang, L., & Xu, L. (2013). Energy-aware resource service scheduling based on utility evaluation in cloud manufacturing system. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 227(12), 1901–1915.

    Article  Google Scholar 

  • Cheung, A., Ip, W., Lu, D., & Lai, C. (2005). An aircraft service scheduling model using genetic algorithms. Journal of Manufacturing Technology Management, 16(1), 109–119.

    Article  Google Scholar 

  • Colen, P., & Lambrecht, M. (2010) Product service systems as a vehicle for sustainability: Exploring service operations strategies. In Proceedings of the 3rd international conference on information systems, logistics and supply chain (ILS 2010).

  • Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197.

    Article  Google Scholar 

  • Dhanalakshmi, S., Kannan, S., Mahadevan, K., & Baskar, S. (2011). Application of modified NSGA-II algorithm to combined economic and emission dispatch problem. International Journal of Electrical Power & Energy Systems, 33(4), 992–1002.

    Article  Google Scholar 

  • Dietrich, B. (2006). Resource planning for business services. Communications of the ACM, 49(7), 62–64.

    Article  Google Scholar 

  • Duflou, J. R., Sutherland, J. W., Dornfeld, D., Herrmann, C., Jeswiet, J., Kara, S., et al. (2012). Towards energy and resource efficient manufacturing: A processes and systems approach. CIRP Annals—Manufacturing Technology, 61(2), 587–609.

    Article  Google Scholar 

  • Gao, J., Yao, Y., Zhu, V. C., Sun, L., & Lin, L. (2011). Service-oriented manufacturing: A new product pattern and manufacturing paradigm. Journal of Intelligent Manufacturing, 22(3), 435–446.

    Article  Google Scholar 

  • Garbie, I. H. (2014). An analytical technique to model and assess sustainable development index in manufacturing enterprises. International Journal of Production Research, 52(16), 4876–4915.

    Article  Google Scholar 

  • Garbie, I. H. (2013). DFSME: Design for sustainable manufacturing enterprises (an economic viewpoint). International Journal of Production Research, 51(2), 479–503.

    Article  Google Scholar 

  • Garetti, M., & Taisch, M. (2012). Sustainable manufacturing: Trends and research challenges. Production Planning & Control, 23(2–3), 83–104.

    Article  Google Scholar 

  • Germani, M., Mandolini, M., Marconi, M., & Marilungo, E. (2014). A method for the estimation of the economic and ecological sustainability of production lines. Procedia CIRP, 15, 147–152.

    Article  Google Scholar 

  • Gunasekaran, A., & Spalanzani, A. (2012). Sustainability of manufacturing and services: Investigations for research and applications. International Journal of Production Economics, 140(1), 35– 47.

    Article  Google Scholar 

  • Hernández Pardo, R. J., Bhamra, T., & Bhamra, R. (2012). Sustainable product service systems in small and medium enterprises (SMEs): Opportunities in the leather manufacturing industry. Sustainability, 4(2), 175–192.

    Article  Google Scholar 

  • Huang, S., Zeng, S., Fan, Y., & Huang, G. Q. (2010). Optimal service selection and composition for service-oriented manufacturing network. International Journal of Computer Integrated Manufacturing, 24(5), 416–430.

    Article  Google Scholar 

  • Iqbal, A., Zhang, H., Kong, L., et al. (2013). A rule-based system for trade-off among energy consumption, tool life, and productivity in machining process. Journal of Intelligent Manufacturing. doi:10.1007/s10845-013-0851-x.

  • Karwowski, W., & Salvendy, G. (Eds.). (2010). Introduction to service engineering. NJ: John Wiley & Sons.

    Google Scholar 

  • Kuo, T. (2013). Mass customization and personalization software development: A case study eco-design product service system. Journal of Intelligent Manufacturing, 24, 1019–1031.

    Article  Google Scholar 

  • Labuschagne, C., & Brent, A. C. (2008). An industry perspective of the completeness and relevance of a social assessment framework for project and technology management in the manufacturing sector. Journal of Cleaner Production, 16(3), 253–262.

    Article  Google Scholar 

  • Liu, S., Leat, M., & Smith, M. (2011). State-of-the-art sustainability analysis methodologies for efficient decision support in green production operations. International Journal of Sustainable Engineering, 4(3), 236–250.

    Article  Google Scholar 

  • Luiten, H., Knot, M., & van der Horst, T. (2001). Sustainable product-service-systems: The Kathalys method. In Second international symposium on environmentally conscious design and inverse manufacturing, 2001. Proceedings EcoDesign 2001: IEEE (pp. 190–197).

  • Manzini, E., & Vezzoli, C. (2003). A strategic design approach to develop sustainable product service systems: Examples taken from the ‘environmentally friendly innovation’Italian prize. Journal of Cleaner Production, 11(8), 851–857.

    Article  Google Scholar 

  • Maxwell, D., & Van der Vorst, R. (2003). Developing sustainable products and services. Journal of Cleaner Production, 11(8), 883–895.

    Article  Google Scholar 

  • Meier, H., & Funke, B. (2010). Resource planning of industrial product-service systems (IPS\(^{2}\)) by a heuristic resource planning approach. In Proceedings of the 2nd CIRP IPS \(^{2}\) conference, Linköping.

  • Meier, H., & Krug, C. M. (2008). System for planning of resources in IPS2-Delivery. In M. Mitsuishi, K. Ueda, & F. Kimura (Eds.), Manufacturing Systems and Technologies for the New Frontier (pp. 469–472). London: Springer.

    Chapter  Google Scholar 

  • Meier, H., Roy, R., & Seliger, G. (2010). Industrial product-service systems–\({\rm IPS}^{2}\). CIRP Annals-Manufacturing Technology, 59(2), 607–627.

    Article  Google Scholar 

  • Mont, O. (2002). Clarifying the concept of product-service system. Journal of Cleaner Production, 10(3), 237–245.

    Article  Google Scholar 

  • Pehlivanoglu, Y. V. (2012). A new vibrational genetic algorithm enhanced with a Voronoi diagram for path planning of autonomous UAV. Aerospace Science and Technology, 16(1), 47–55.

    Article  Google Scholar 

  • Rahmati, S. H. A., Zandieh, M., & Yazdani, M. (2013). Developing two multi-objective evolutionary algorithms for the multi-objective flexible job shop scheduling problem. The International Journal of Advanced Manufacturing Technology, 64(5–8), 915–932.

    Article  Google Scholar 

  • Rosen, M. (2012). Engineering sustainability: A technical approach to sustainability. Sustainability, 4, 2270–2292.

    Article  Google Scholar 

  • Roy, R. (2000). Sustainable product-service systems. Futures, 32(3), 289–299.

    Article  Google Scholar 

  • Rusinko, C. (2007). Green manufacturing: An evaluation of environmentally sustainable manufacturing practices and their impact on competitive outcomes. IEEE Transactions on Engineering Management, 54(3), 445–454.

    Article  Google Scholar 

  • Santoyo-Castelazo, E., & Azapagic, A. (2014). Sustainability assessment of energy systems: Integrating environmental, economic and social aspects. Journal of Cleaner Production, 80(0), 119–138.

    Article  Google Scholar 

  • Seay, J. (2014). Developing a taxonomy for the key principles of design and education for sustainability. In J. D. S. Mario, R. Eden, & P. T. Gavin (Eds.), Computer aided chemical engineering (pp. 45–54). Amsterdam: Elsevier.

    Google Scholar 

  • Shokohyar, S., Mansour, S., & Karimi, B. (2012). A model for integrating services and product EOL management in sustainable product service system (S-PSS). Journal of Intelligent Manufacturing, 25(3), 427–440.

    Article  Google Scholar 

  • Steven, M., & Richter, A. (2010). Hierarchical planning for industrial product service systems. In Proceeding of the 2nd CIRP \(IPS^{2}\) conference (pp. 151–158).

  • Sun, H., Wang, Z., Zhang, Y., Chang, Z., Mo, R., & Liu, Y. (2011). Evaluation method of product-service performance. International Journal of Computer Integrated Manufacturing, 25(2), 150–157.

    Article  Google Scholar 

  • Sundin, E., Lindahl, M., & Larsson, H. (2010). Environmental and economic benefits of industrial product/service systems. In Proceedings of CIRP industrial product/service systems (IPS2) (pp. 91–98).

  • Tao, F., Hu, Y.-F., Ding, Y.-F., & Sheng, B.-Y. (2006). Resources publication and discovery in manufacturing grid. Journal of Zhejiang University SCIENCE A, 7(10), 1676–1682.

    Article  Google Scholar 

  • Tukker, A. (2004). Eight types of product-service system: Eight ways to sustainability? Experiences from SusProNet. Business Strategy and the Environment, 13(4), 246–260.

    Article  Google Scholar 

  • Tukker, A., & Tischner, U. (2006). Product-services as a research field: Past, present and future. Reflections from a decade of research. Journal of Cleaner Production, 14(17), 1552–1556.

  • Wang, X., Gao, L., Zhang, C., & Shao, X. (2010). A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem. The International Journal of Advanced Manufacturing Technology, 51(5–8), 757–767.

    Article  Google Scholar 

  • Wang, Y.-K., Fan, K.-C., & Horng, J.-T. (1997). Genetic-based search for error-correcting graph isomorphism. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 27(4), 588–597.

    Article  Google Scholar 

  • Wang, Z., & Xu, X. (2012). A sharing-oriented service selection and scheduling approach for the optimization of resource utilization. Service Oriented Computing and Applications, 6(1), 15–32.

    Article  Google Scholar 

  • White, S. W., & Badinelli, R. D. (2012). A model for efficiency-based resource integration in services. European Journal of Operational Research, 217(2), 439–447.

    Article  Google Scholar 

Download references

Acknowledgments

This research is funded by the Natural Science Foundation of China (NSFC) with Grant No. 51275396.

Author information

Authors and Affiliations

  1. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

    Kai Ding, Pingyu Jiang & Mei Zheng

Authors
  1. Kai Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pingyu Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mei Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pingyu Jiang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ding, K., Jiang, P. & Zheng, M. Environmental and economic sustainability-aware resource service scheduling for industrial product service systems. J Intell Manuf 28, 1303–1316 (2017). https://doi.org/10.1007/s10845-015-1051-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-015-1051-7

Keywords

Search

Navigation