Energy-efficient concurrent assessment of industrial robot operation based on association rules in manufacturing

Research output: Chapter in Book/Report/Conference proceedingConference contribution


  • Shengnan Wang
  • Xiaomei Zhang
  • Wenjun Xu
  • Aiming Liu
  • Zude Zhou

Colleges, School and Institutes

External organisations

  • Wuhan University of Technology
  • University of Birmingham


While the manufacturing industry is flourishing, sustainable manufacturing has been highly valued by the world and has gradually become the trend of the manufacturing industry. Because of the high efficiency and high quality operation, the industrial robots (IRs) have been deployed in various industries, and the energy-efficient operation of IRs has become the focus of attention. Among this, the energy-efficient assessment of IRs operation performance can grasp the energy status and the manufacturing capacity during the production process. In addition, there is a close relationship between the production line level and the manufacturing cell level. From the view of manufacturing systems in a job shop, the concurrent assessment of IRs' operation performance will provide the support for the optimization of operation control and scheduling decision making as a whole. This paper proposes an energy-efficient concurrent assessment method for the manufacturing system of IRs based on association rules. A set of concurrent assessment model is established based on the relationship between the IRs production line level and the manufacturing cell level. A mining algorithm is used to mine association rules between the indicators. Furthermore, in order to improve the accuracy of the concurrent assessment, the correlation coefficient based on association rules between the indicators is used to correct the weights. Finally a case study is implemented to demonstrate the feasibility and effectiveness of the proposed method.


Original languageEnglish
Title of host publicationICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
Publication statusPublished - 21 May 2018
Event15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018 - Zhuhai, China
Duration: 27 Mar 201829 Mar 2018


Conference15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018


  • association rules, concurrent assessment, energy-efficient manufacturing, industrial robots, operation performance