在多产品供应商-客户合并系统中,返工、延期、多次发货和加班生产公共组件的综合效应

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Y. Chiu, Liang You, Tiffany Chiu, Fan-Yun Pai
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引用次数: 1

摘要

本研究考察了在一个多产品供应商-客户合并系统中,返工、多次出货、延期和加班生产通用组件的综合影响。在当前的供应链环境下,客户的产品需求趋势是多样化、高质量、快速响应。在如此激烈的竞争环境下,当今的制造商必须有效地规划他们的多项目制造,以提高利用率和产品质量,最大限度地降低相关总成本,并满足较短的给定订单交货时间。考虑成品共性、质量要求、交货期等因素,提出了缺陷返工、多次出货、延期、加班生产互件、满足市场需求的精确模型。通过显式建模、公式化和系统成本最小化技术,同时得出了所研究问题的最优周期时间和运输频率。一个数值例子有助于展示我们的模型如何适用于任何给定的参数值,以及问题的单个和多个因素的变化如何影响关键的系统性能(例如,总正常运行时间、每个相关成本、利用率、总成本等)。当今各种各样的行业(例如,汽车、家居用品等)及其相关供应链可以利用我们的决策模型来揭示深入的管理见解,以规划其制造和运输。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The combined effect of rework, postponement, multiple shipments, and overtime producing common-component on a multiproduct vendor-client incorporated system
The study examines the combined effect of rework, multiple shipments, postponement, and overtime producing common-component on a multiproduct vendor-client incorporated system. Clients’ product demand trend turns to diversity, quality, and rapid response in the current supply-chain environment. Under such a stiff competitive environment, today’s manufacturers must effectively plan their multi-item fabrication to boost utilization and product quality, minimize total relevant costs, and meet short given order lead time. By considering the commonality of the finished goods, required quality, and completion lead time, this study presents an exact model featuring rework of defects, multiple shipments, postponement, overtime producing the mutual component, and satisfying the market needs. Through the techniques of explicitly modeling, formulating, and system cost minimization, this study simultaneously derives the optimal cycle-time and shipping frequency for the studied problem. A numerical example helps show how our model works for any given parameter values and how the variation in single and multiple factors of the problem affects the crucial system performances (e.g., total uptimes, each relevant cost, utilization, total cost, etc.) A wide variety of today’s industries (e.g., automotive, household goods, etc.) and their related supply chains can utilize our decisional model to reveal in-depth managerial insights for planning their fabrication and shipments.
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来源期刊
CiteScore
5.70
自引率
9.10%
发文量
35
审稿时长
20 weeks
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