TY - GEN
T1 - Jointly Optimizing Production, Quality Inspection and Maintenance Policies for an Unreliable Production System
AU - Li, Q.
AU - Yang, J.
AU - Wang, N.
AU - Xing, H.
AU - Zhao, Y.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Nonconforming items and machine failures make the production system unreliable. In practice, quality control and maintenance technologies are introduced into the unreliable production systems to manage both the products and machines, where quality control technologies can be achieved by inspecting the quality characteristics of the products. However, some existing work ignored the variation in quality characteristics or the machine failure. Quality control can provide information for maintenance. Meanwhile, systems integration brings challenges for management. To solve these problems, considering that quality characteristics may vary and machines may fail, a profit model is proposed for modeling the relationship between profit and management policies. The goal is to maximize the production profit through the optimization of management policies via Genetic Algorithms (GA), which involve production planning, quality inspection, and maintenance policies. Finally, a case study is used to demonstrate the application of the proposed method, and the results demonstrate that our proposed method can generate higher profits compared to the traditional methods.
AB - Nonconforming items and machine failures make the production system unreliable. In practice, quality control and maintenance technologies are introduced into the unreliable production systems to manage both the products and machines, where quality control technologies can be achieved by inspecting the quality characteristics of the products. However, some existing work ignored the variation in quality characteristics or the machine failure. Quality control can provide information for maintenance. Meanwhile, systems integration brings challenges for management. To solve these problems, considering that quality characteristics may vary and machines may fail, a profit model is proposed for modeling the relationship between profit and management policies. The goal is to maximize the production profit through the optimization of management policies via Genetic Algorithms (GA), which involve production planning, quality inspection, and maintenance policies. Finally, a case study is used to demonstrate the application of the proposed method, and the results demonstrate that our proposed method can generate higher profits compared to the traditional methods.
KW - maintenance
KW - production
KW - quality inspection
KW - unreliable production system
UR - https://www.scopus.com/pages/publications/85186098056
U2 - 10.1109/IEEM58616.2023.10406310
DO - 10.1109/IEEM58616.2023.10406310
M3 - 会议稿件
AN - SCOPUS:85186098056
T3 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
SP - 1467
EP - 1471
BT - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Y2 - 18 December 2023 through 21 December 2023
ER -