Smart Manufacturing Operating Systems Considering Parts Utilization for Engineer-to-Order Production with Make-to-Stock Parts

Smart Manufacturing Operating Systems Considering Parts Utilization for Engineer-to-Order Production with Make-to-Stock Parts
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智能制造操作系统考虑利用按单设计的零件进行按库存生产的零件

DOI:
10.1016/j.ijpe.2019.07.032
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发表时间:
2020
影响因子:
12
通讯作者:
Shingo Akasaka and Hisashi Onari
Shingo Akasaka and Hisashi Onari
中科院分区:
工程技术1区
文献类型:
--
作者:
Jiahua Weng;Shota Mizoguchi;Shingo Akasaka and Hisashi Onari

文献摘要

相似文献

预计第四次工业革命将由机器人和人工智能等领域的新兴技术突破推动。因此,企业和国家正在探索能够满足各种客户需求的智能、自主工厂。然而,99.5%的日本制造商是中小企业。他们中的大多数甚至在内部部门之间也缺乏数字连接,他们的平均劳动生产率只有大型制造商的43%。为了实现智能工厂能够在紧迫的期限内以高生产率提供定制产品,本研究将重点放在中小型工程师到订单公司,这些公司在最终产品订单下达之前制造零件。零部件短缺和过剩的库存是这类公司面临的主要问题。为了保证这些企业的有效运作,我们提出了一种新的生产操作系统,它可以将销售、生产和采购部门获得的不同类型的信息联系起来。零件的准备是利用未来的查询信息进行的,可用的零件是通过预定的订单接收计划来使用的。将订单接收计划发展为具有零件库存约束和短期查询信息约束的整数线性规划问题。验证了所提出的操作系统在增加订单和减少零件库存方面的有效性。我们相信我们的研究结果可以极大地帮助实现未来的智能工厂。
The fourth industrial revolution is expected to be powered by emerging technology breakthroughs in fields including robotics and artificial intelligence. Consequently, companies and countries are exploring smart, autonomous factories that can handle various customer requirements. However, 99.5% of Japanese manufacturers are small and medium-sized enterprises. Most of them lack digital connections even among internal departments, and their average labor productivity is only 43% that of large manufacturers. To realize a smart factory that can provide customized products over tight deadlines with high productivity, this study focuses on small and medium-sized engineer-to-order firms that fabricate parts before orders for final products are placed. Inventories suffering from both a lack and excess of parts are a major issue for such firms. To ensure such firms operate efficiently, we propose a novel production operating system that can link different types of information obtained by the sales, production, and procurement departments. Parts preparation is conducted by using future inquiry information, and the available parts are used through a predetermined order-receiving plan. The order-receiving plan is developed as an integer linear programming problem with constraints of parts inventory and short-term inquiry information. The efficacy of the proposed operating system in both increasing orders and reducing parts inventory is validated. We believe that our findings can significantly aid in the realization of future smart factories.