TY  - JOUR
AB  - Dispatching rule‐based scheduling is a kind of dynamic scheduling commonly used in real world applications. Because of the lack of scheduling objective, it cannot optimize the specific performances at which shop managers aim in the current production period. To overcome the limitations of the dispatching rule‐based scheduling, an iterative learning scheduling scheme is proposed in this paper. A scheduling objective function, which reflects the performance criteria in which the shop managers are most interested, is established and used to guide the optimization of the crucial performances. According to the value of the scheduling objective obtained from the last simulation period, the parameters are adjusted so as to decrease the objective during the next simulation period. Experimental results show that the iterative learning scheduling overcomes the limitations of the dispatching rule‐based scheduling and achieves higher performances.
VL  - 15
IS  - 3
SN  - 1741-038X
DO  - 10.1108/17410380410523524
UR  - https://doi.org/10.1108/17410380410523524
AU  - Sun Rong‐Lei
AU  - Ding Han
AU  - Xiong Youlun
AU  - Du Runsheng
PY  - 2004
Y1  - 2004/01/01
TI  - Iterative learning scheduling: a combination of optimization and dispatching rules
T2  - Journal of Manufacturing Technology Management
PB  - Emerald Group Publishing Limited
SP  - 298
EP  - 305
Y2  - 2024/04/25
ER  -