Research Progress of Scheduling Optimization for Customized Panel Furniture Workshop Based on Intelligent Algorithms

XIONG Xianqing; ZHANG Mei; YUE Xinyi; XU Xiutong

doi:10.12326/j.2096-9694.2025034

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Research Progress of Scheduling Optimization for Customized Panel Furniture Workshop Based on Intelligent Algorithms
1.College of Furniture and Industrial Design，Nanjing Forestry University，Nanjing 210037，Jiangsu， China
2.Co-Innovation Center of Efficient Processing and Utilization of Forest Resources，Nanjing Forestry University，Nanjing 210037，Jiangsu，China
Vol. 39, Issue 5, Pages: 74-81(2025)
DOI： 10.12326/j.2096-9694.2025034
稿件说明：

移动端阅览

熊先青,张美,岳心怡等.基于智能算法的板式定制家具车间调度优化研究进展[J].木材科学与技术,2025,39(05):74-81. DOI： 10.12326/j.2096-9694.2025034.

XIONG Xianqing,ZHANG Mei,YUE Xinyi,et al.Research Progress of Scheduling Optimization for Customized Panel Furniture Workshop Based on Intelligent Algorithms[J].Chinese Journal of Wood Science and Technology,2025,39(05):74-81. DOI： 10.12326/j.2096-9694.2025034.

摘要

随着消费市场个性化需求升级，板式定制家具行业正加速向小批量、多品种柔性制造转型，车间调度作为核心决策环节，面临工艺耦合性强、多目标冲突及动态扰动频发等挑战，快速响应动态事件并优化调度策略是实现车间高效排产的关键。分析板式定制家具车间调度问题，其复杂性涉及产品生产工艺、车间生产模式以及车间动态扰动；阐述板式定制家具车间基于智能算法的调度方法研究现状，包括经典精确算法、启发式与元启发式算法和机器学习。基于智能算法的板式定制家具调度方法面临的瓶颈，提出一种“预测-反应”机制的分层协同调度框架。该框架将静态预调度优化与动态实时调度有机结合，提升车间对于动态事件的响应能力，为板式定制家具企业智能化转型提供理论支撑与实践路径。

Abstract

With the growing personalized demand in the consumer market

the customized panel furniture industry is accelerating its transformation to small-batch and multi-variety flexible manufacturing. As the core decision-making link

workshop scheduling faces the challenges from strong process coupling

multi-objective conflicts

and frequent dynamic disturbances. Therefore

how to respond quickly and schedule reasonably to frequent dynamic events in the workshop is one of the keys to improving production efficiency. The issues in workshop scheduling of customized panel furniture are complex

which involves product production process

workshop production mode

and dynamic disturbance. The research status on scheduling methods based on efficient scheduling in customized panel furniture workshop is analyzed

including classical exact algorithm

heuristic and meta-heuristic algorithm

and machine learning. To address the challenges of scheduling method for customized panel furniture workshop based on efficient scheduling

a hierarchical collaborative scheduling framework of “prediction-response” mechanism is proposed. The framework combines static pre-scheduling optimization with dynamic real-time scheduling so that to improve the response ability of the workshop to dynamic events and provide theoretical support and practical path for the intelligent transformation of the customization panel furniture industry.

关键词

Keywords

references

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