期刊论文

Guiliang Gong

英文

Applied Soft Computing

1568-4946

2025

114008

10.1016/j.asoc.2025.114008

Information This work was supported by the Scientific Research Project of Hunan Provincial Department of Education Project (grant number: 23A0224); Hunan Provincial Key Research and Development Program(2024JK2035); the Changsha Science and Technology Plan Soft Science Project (grant number: kh2302004); the National Nature Science Foundation of China (grant number: 72001217); and the Nature Science Foundation of Hunan (grant number: 2021JJ41081); and Scientific Innovation Fund for Post-graduates of Central CRediT authorship contribution statement Dan Huang: Supervision, Project administration, acquisition. Qiang Luo: Supervision, Project administration. Zhongliang Gong: Supervision, Project administration. Ningtao Peng: Supervision, Project administration. Xiaoqiang Li: Project administration. Dian Lu: Writing – original draft, Software, Methodology, acquisition, Formal analysis, Conceptualization. Guiliang Gong: Writing – review & editing, Supervision, Resources, Project administration, acquisition.

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To date, existing research on the distributed flexible job shop scheduling problem typically overlooks the insertion of rush orders, i.e., it is assumed that once an order starts processing, other jobs cannot be inserted. However, in actual production, with the increasing demand for multiple varieties, small batches, and personalization, order insertion has become very common. In this paper, we propose a distributed flexible job shop scheduling problem considering rush order insertion (DFJSPR) for the first time; and design a two-stage memetic ...