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Manufacturing lot-sizing, procurement and delivery schedules over a finite planning horizon

机译:在有限的计划范围内进行制造批量确定,采购和交货计划

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摘要

In this study, an integrated manufacturing system for technology-related companies whose products are experiencing continuous price decrease during the life cycle is studied for optimal procurement, production and delivery schedules over a finite planning horizon. The model considers the inventory cost both at manufacturing and at delivery from supplier. Since the price is continuously decreasing, a manufacturing firm delivers the finished goods in small quantities frequently. Frequent deliveries in small lots are effective to reduce the total cost of the supply chain. The key for high-tech industries is to reduce the inventory holding time since the component prices are continuously decreasing, and this can only be achieved by implementing an efficient supply chain. Therefore, the main purpose of this paper is to develop an integrated inventory model for high-tech industries in JIT environment under continuous price decrease over finite planning horizon while effectively and successfully accomplishing supply chain integration so that the total cost of the system is minimal. An efficient algorithm is developed to determine the optimal or near-optimal lot sizes for raw material procurement, and manufacturing batch under a finite planning horizon. Finally, the solution technique developed for the model is illustrated with numerical examples.
机译:在这项研究中,研究了针对技术相关公司的集成制造系统,这些公司的产品在生命周期中价格不断下降,因此可以在有限的计划范围内优化采购,生产和交货计划。该模型考虑了制造和供应商交付时的库存成本。由于价格不断下降,制造公司经常交付少量成品。小批量的频繁交付有效地降低了供应链的总成本。高科技行业的关键是要减少库存持有时间,因为组件价格不断下降,而这只有通过实施有效的供应链才能实现。因此,本文的主要目的是在有限的计划范围内连续降低价格的同时,在JIT环境中开发高科技行业的集成库存模型,同时有效且成功地完成供应链集成,从而使系统的总成本降至最低。开发了一种有效的算法,可以在有限的计划范围内确定用于原材料采购和制造批次的最佳或接近最佳批量。最后,通过数值示例说明了为模型开发的求解技术。

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