Resource Planning for the Installation of Industrial Product Service Systems

  • Kosmas Alexopoulos
  • Spyros Koukas
  • Nikoletta Boli
  • Dimitris MourtzisEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 514)


In product-oriented Industrial Product Service Systems (IPSSs) the customers benefit from the combination of a product which offers some functionalities and a set of services. IPSS supports the provision of services which can be offered by the product manufacturer. The services can offer a wide range of functionalities that can range from ensuring the product’s original functionality to augmenting the original functionality of the product. The shifting of a company to IPSS poses many challenges such as the changing of the company’s business model. One of the most important challenges for the establishment of IPSS is the appropriate planning of the resources for production, deployment, and installation into the customers’ site. However, companies that provide IPSS solutions are lacking the proper tools for resources’ planning in a dynamic environment. In this work, a multi-criteria resource planning method and tool for optimizing the production, delivery, and installation of IPSS is presented. The proposed solution generates alternative IPSS’s production and installation plans and evaluates them on performance measures for production and installation such as time and cost. Moreover, through the integration of the planning tool with the IPSS design phase, information for generating the Bill of Process and Materials is presented. The planning tool has been designed using the Software-as-a-Service (SaaS) approach and has been applied and validated in a pilot case from the laser cutting industry.


Industrial Product Service Systems (IPSS) Resource planning Decision making 



This work has been partially supported by the H2020 EC funded project “An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle – ICP4Life” (GA No: 636862).


  1. 1.
    Gu, P., Hashemian, M., Nee, A.Y.C.: Adaptable design. CIRP Ann. Manuf. Technol. 53, 539–557 (2004)CrossRefGoogle Scholar
  2. 2.
    Mont, O.: Clarifying the concept of PSS. J. Clean. Prod. 10, 237–245 (2002)CrossRefGoogle Scholar
  3. 3.
    Meier, H., Uhlmann, E., Raue, N., Dorka, T.: Agile scheduling and control for industrial product-service systems. Procedia CIRP 12, 330–335 (2013)CrossRefGoogle Scholar
  4. 4.
    Meier, H., Roy, R., Seliger, G.: Industrial product-service systems-IPS2. CIRP Ann. Manuf. Technol. 59, 607–627 (2010)CrossRefGoogle Scholar
  5. 5.
    Meier, H., Völker, O., Funke, B.: Industrial product-service systems (IPS2): paradigm shift by mutually determined products and services. Int. J. Adv. Manuf. Technol. 52, 1175–1191 (2011)CrossRefGoogle Scholar
  6. 6.
    Bagheri, S., Kusters, R.J., Trienekens, J.J.M.: The customer knowledge management lifecycle in PSS value networks: towards process characterization, pp. 3–4 (2015)Google Scholar
  7. 7.
    Mourtzis, D., Fotia, S., Vlachou, E., Koutoupes, A.: A lean PSS design and evaluation framework supported by KPI monitoring and context sensitivity tools. Int. J. Adv. Manuf. Technol. 1–15 (2017)Google Scholar
  8. 8.
    Mourtzis, D., Fotia, S., Doukas, M.: Performance indicators for the evaluation of product-service systems design: a review. In: IFIP International Conference on Advances in Production Management Systems APMS 2015: Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, pp. 592–601 (2015)Google Scholar
  9. 9.
    Mourtzis, D., et al.: PSS design considering feedback from the entire product-service lifecycle and social media. Procedia CIRP 47, 156–161 (2016)CrossRefGoogle Scholar
  10. 10.
    Chryssolouris, G., Chan, S., Suh, N.P.: An integrated approach to process planning and scheduling. CIRP Ann. Manuf. Technol. 34, 413–417 (1985)CrossRefGoogle Scholar
  11. 11.
    Jain, A.S., Meeran, S.: A state-of-the-art review of job-shop scheduling techniques (1998)Google Scholar
  12. 12.
    Chryssolouris, G., Pierce, J., Dicke, K.: A decision-making approach to the operation of flexible manufacturing systems. IJFMS 4, 309–330 (1992)Google Scholar
  13. 13.
    Lagemann, H., Meier, H.: Robust capacity planning for the delivery of industrial product-service systems. Procedia CIRP 19, 99–104 (2014)CrossRefGoogle Scholar
  14. 14.
    Doukas, M., Psarommatis, F., Mourtzis, D.: Planning of manufacturing networks using an intelligent probabilistic approach for mass customized products. Int. J. Adv. Manuf. Technol. 74, 1747–1758 (2014)CrossRefGoogle Scholar
  15. 15.
    Steven, M., Richter, A.: Hierarchical planning for industrial product service systems. In: Proceedings of the 2nd CIRP IPS2 Conference on Linköping, Sweden, pp. 151–157 (2010)Google Scholar
  16. 16.
    Meier, H., Funke, B., Bochum, R., Systems, P.: Resource planning of industrial product-service systems (IPS2) by a heuristic resource planning approach. In: International Conference on Industrial Product Service Systems, pp. 339–346 (2010)Google Scholar
  17. 17.
    Matsas, M., Pintzos, G., Kapnia, A., Mourtzis, D.: An integrated collaborative platform for managing product-service across their life cycle. Procedia CIRP 59, 220–226 (2017)CrossRefGoogle Scholar
  18. 18.
    Maleki, El., Belkadi, F., Zhang, Y.: Towards a new collaborative framework supporting the design process of industrial product. In: Advances in Mechanics, Design Engineering and Manufacturing, pp. 14–16 (2017). doi: 10.1007/978-3-319-45781-9

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  • Kosmas Alexopoulos
    • 1
  • Spyros Koukas
    • 1
  • Nikoletta Boli
    • 1
  • Dimitris Mourtzis
    • 1
    Email author
  1. 1.Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and AeronauticsUniversity of PatrasPatrasGreece

Personalised recommendations