Value-based contract for smart operation and maintenance service based on equitable entropy

Fang Huang, Juhong Chen, Linhui Sun, Yaqi Zhang, Shujun Yao

International Journal of Production Research · 2019 · 33 citations · 39 references

Concepts

Abstract

Smart operation and maintenance (O&M) service is the major industrial service in Industry 4.0, but it's not easy for manufacturers to achieve high returns. Regularly manufacturers can't set a higher service price due to customer's perception of the service value; a new revenue model is urgently needed. In this study, we develop a value-based contract for smart O&M service based on equitable entropy. Firstly, we summarise the characteristics of smart O&M service's value creation and acquisition. And the service value is measured under the PaaS model by calculating the maximum revenue gap of the customer in the two cases of customer self-O&M and manufacturer's smart O&M service. Then a revenue-sharing model is built based on equitable entropy which the criterion is the valid data provided by each party. The results show that by signing a value-based contract, the smart O&M service can not only significantly improve the customer's revenue by downtime losses reduction and productivity improvement, but also create higher returns for the manufacturer. In addition, the fairest revenue sharing coefficient and relatively fair interval for revenue sharing decision can be accurately calculated by equitable entropy. These conclusions provide a theoretical basis for the manufacturer to better implement smart O&M service.

References

39