An Intelligent Decision Support System for Production Planning in Garments Industry
An Intelligent Decision Support System for Production Planning in Garments Industry
复制标题
服装行业生产计划智能决策支持系统
DOI：
10.1007/978-3-030-91608-4_37
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Paulo Cortez
中科院分区：
文献类型：
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作者：
Rui Ribeiro;A. Pilastri;Hugo Carvalho;Arthur Matta;P. Pereira;Pedro Rocha;Marcelo Alves;Paulo Cortez
本文提出了一种预测与优化相结合的智能决策支持系统(IDSS)。我们与一家为制衣行业提供软件的公司合作，该公司可以访问与与分包商合作的客户相关的真实数据。使用自动机器学习(AutoML)方法，我们首先针对四个预测任务，这四个任务对估计生产计划指标至关重要。然后，我们利用历史数据和其中一个预测指标，通过进化多目标优化算法(NSGA-II)来搜索最优的分包商分配方案，使成本和生产时间最小化，得到了有趣的结果。
In this paper, we propose an Intelligent Decision Support System (IDSS) that combines prediction and optimization for production planning. We worked with a company that provides software for the garments Industry and that had access to real-world data related with a client that works with subcontractors. Using an Automated Machine Learning (AutoML) approach, we firstly target four predictive tasks that are crucial to estimate production planning indicators. Then, we use historical data and one of the predicted indicators to search for the best subcontractor allocation plan, which minimize both the cost and production time via an Evolutionary Multiobjective Optimization (EMO) algorithm (NSGA-II), achieving interesting results.