灵活的数据驱动库存管理与交互式多目标批量优化

Q3 Decision Sciences
Risto Heikkinen, Juha Sipilä, Vesa Ojalehto, Kaisa Miettinen
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引用次数: 0

摘要

我们研究数据驱动的决策支持,并形式化从数据到决策的路径。针对随机需求下库存管理中的批量问题,提出了一种交互式多目标优化方法。我们使用基于销售数据的贝叶斯模型来预测需求。在根据需求模型确定相关目标后,我们制定了一个优化问题,以确定未来多个时间段的批量大小。我们的方法结合了不同的交互式多目标优化方法来寻找目标之间的最佳平衡。因此,具有实质知识的决策者利用自己的偏好信息指导解决方案过程,以找到最受欢迎的解决方案,并进行可接受的权衡。作为概念验证,为了展示该方法的好处,我们利用了一家生产公司的真实数据,并将优化的批量大小与没有支持的决策进行了比较。通过我们的方法,决策者得到了非常满意的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible data driven inventory management with interactive multi-objective lot size optimisation
We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a Bayesian model, which is based on sales data. After identifying relevant objectives relying on the demand model, we formulate an optimisation problem to determine lot sizes for multiple future time periods. Our approach combines different interactive multi-objective optimisation methods for finding the best balance among the objectives. For that, a decision maker with substance knowledge directs the solution process with one's preference information to find the most preferred solution with acceptable trade-offs. As a proof of concept, to demonstrate the benefits of the approach, we utilise real-world data from a production company and compare the optimised lot sizes to decisions made without support. With our approach, the decision maker obtained very satisfactory solutions.
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来源期刊
International Journal of Logistics Systems and Management
International Journal of Logistics Systems and Management Decision Sciences-Information Systems and Management
CiteScore
2.00
自引率
0.00%
发文量
52
期刊介绍: IJLSM proposes and fosters discussion on the development of logistics resources, with emphasis on the implications that logistics strategies and systems have on organisational productivity and competitiveness in the global and electronic markets. Globalisation of markets and logistics services are closely related to the success of a company. This perspective indicates the importance of effective logistics systems and their management for organisational effectiveness and competitiveness.
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