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Volume 44 Issue 5
May  2022
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CAO Wangcheng, XIE Zhiqiang, PEI Lirong. Reverse Order and Greedy Integrated Scheduling Algorithm Considering Dynamic Time Urgency Degree of the Process Sequences[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1572-1580. doi: 10.11999/JEIT211455
Citation: CAO Wangcheng, XIE Zhiqiang, PEI Lirong. Reverse Order and Greedy Integrated Scheduling Algorithm Considering Dynamic Time Urgency Degree of the Process Sequences[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1572-1580. doi: 10.11999/JEIT211455

Reverse Order and Greedy Integrated Scheduling Algorithm Considering Dynamic Time Urgency Degree of the Process Sequences

doi: 10.11999/JEIT211455
Funds:  The Key Science and Technology Projects of Heilongjiang Provincial Education Department (1355ZD004), The National Natural Science Foundation of China (61772160)
  • Received Date: 2021-12-08
  • Rev Recd Date: 2022-03-26
  • Available Online: 2022-04-22
  • Publish Date: 2022-05-25
  • For the general integrated scheduling problem of tree structured complex single product machining and assembling, a reverse order and greedy integrated scheduling algorithm is proposed by considering dynamic TUD (Time Urgency Degree) of the process sequences. The strategy of process sorting is put forward, and the TUD of process sequence is defined. The process tree is reversed using leaf alignment, according to the order from leaf to root, the scheduling order of leaf nodes in the same layer is determined layer by layer from large to small according to the dynamic TUD values of the process sequences to which the leaf nodes belong. The sorted leaf nodes are put into the queue in turn. Finally, the elements in the queue are reversed. A reverse order and greedy scheduling strategy is proposed. Each time, a single process is taken as a unit to conduct trial scheduling at the quasi-scheduling time point in the required equipment. Quasi-scheduling scheme set of the process is obtained, and the quasi-scheduling scheme with the minimum end time is selected, and if it is not unique, the scheme is selected to machine the process as early as possible. A case shows that the proposed algorithm optimizes the general integrated scheduling results and has high efficiency.
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