TY - GEN
T1 - Production Control Methods for Time-based Manufacturing in a Real Factory
AU - Weng, Wei
AU - Chen, Junru
AU - Zheng, Meimei
AU - Fujimura, Shigeru
N1 - Funding Information:
This work is supported by JSPS Grants-in-Aid for Scientific Research (KAKENHI) Grant Number 19K15238 and National Natural Science Foundation of China Grant Number 71802130.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/11
Y1 - 2020/10/11
N2 - This study is aimed to smooth the job flow between consecutive production shops along a production line. We propose solutions to a factory that wants an upstream shop to complete every job at a timing that the downstream shop can process the job. We model the upstream shop as a reentrant flexible job shop and propose three online executable methods forming a control system. One is a due date setting method that estimates the flow time of a job by making a quick schedule of jobs in bottleneck workstations. Another is a dispatching rule that sequences jobs according to urgency degree. The other is a heuristic that controls the start time of processing the final operation in a job. Simulations by using data from the factory show that each method is superior to its rivals in the literature, and when working together, the methods can not only complete jobs at the desired timings but also reach instantly far better solutions than metaheuristics customized for solving similar problems.
AB - This study is aimed to smooth the job flow between consecutive production shops along a production line. We propose solutions to a factory that wants an upstream shop to complete every job at a timing that the downstream shop can process the job. We model the upstream shop as a reentrant flexible job shop and propose three online executable methods forming a control system. One is a due date setting method that estimates the flow time of a job by making a quick schedule of jobs in bottleneck workstations. Another is a dispatching rule that sequences jobs according to urgency degree. The other is a heuristic that controls the start time of processing the final operation in a job. Simulations by using data from the factory show that each method is superior to its rivals in the literature, and when working together, the methods can not only complete jobs at the desired timings but also reach instantly far better solutions than metaheuristics customized for solving similar problems.
KW - Reentrant flexible job shop
KW - case study
KW - dispatching rules
KW - due date setting
KW - just-in-time production
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U2 - 10.1109/ICACR51161.2020.9265495
DO - 10.1109/ICACR51161.2020.9265495
M3 - Conference contribution
AN - SCOPUS:85099657443
T3 - 2020 4th International Conference on Automation, Control and Robots, ICACR 2020
SP - 102
EP - 106
BT - 2020 4th International Conference on Automation, Control and Robots, ICACR 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Automation, Control and Robots, ICACR 2020
Y2 - 11 October 2020 through 13 October 2020
ER -