An Examination of National Supply-Chain Flow Time.

Douglas Thomas, Anand Kandaswamy
{"title":"An Examination of National Supply-Chain Flow Time.","authors":"Douglas Thomas,&nbsp;Anand Kandaswamy","doi":"10.1080/09535314.2017.1407296","DOIUrl":null,"url":null,"abstract":"<p><p>The US and other national governments invest in research and development to spur competitiveness in their domestic manufacturing industries. However, there are limited studies on identifying the research efforts that will have the largest possible return on investment, resulting in suboptimal returns. Manufacturers commonly measure production time in order to identify areas for efficiency improvement, but this is typically not applied at the national level where efficiency issues may cross between enterprises and industries. Such methods and results can be used to prioritize efficiency improvement efforts at an industry supply-chain level. This paper utilizes data on manufacturing inventory along with data on inter-industry interactions to develop a method for tracking industry-level flow time and identifying bottlenecks in US manufacturing. As a proof of concept, this method is applied to the production of three commodities: aircraft, automobiles/trucks, and computers. The robustness of bottleneck identification is tested utilizing Monte Carlo techniques.</p>","PeriodicalId":87245,"journal":{"name":"Economic systems research : journal of the International Input-Output Association","volume":"30 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09535314.2017.1407296","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic systems research : journal of the International Input-Output Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09535314.2017.1407296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The US and other national governments invest in research and development to spur competitiveness in their domestic manufacturing industries. However, there are limited studies on identifying the research efforts that will have the largest possible return on investment, resulting in suboptimal returns. Manufacturers commonly measure production time in order to identify areas for efficiency improvement, but this is typically not applied at the national level where efficiency issues may cross between enterprises and industries. Such methods and results can be used to prioritize efficiency improvement efforts at an industry supply-chain level. This paper utilizes data on manufacturing inventory along with data on inter-industry interactions to develop a method for tracking industry-level flow time and identifying bottlenecks in US manufacturing. As a proof of concept, this method is applied to the production of three commodities: aircraft, automobiles/trucks, and computers. The robustness of bottleneck identification is tested utilizing Monte Carlo techniques.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
全国供应链流程时间研究。
美国和其他国家的政府投资于研发,以刺激国内制造业的竞争力。然而,关于确定哪些研究工作将获得最大可能的投资回报的研究有限,从而导致次优回报。制造商通常衡量生产时间,以确定效率改进的领域,但这通常不适用于国家一级,因为效率问题可能在企业和行业之间交叉。这些方法和结果可用于在行业供应链层面优先考虑效率改进工作。本文利用制造业库存数据以及行业间互动数据,开发了一种跟踪行业级流动时间和识别美国制造业瓶颈的方法。作为概念验证,这种方法被应用于三种商品的生产:飞机、汽车/卡车和计算机。利用蒙特卡罗技术测试了瓶颈识别的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Does resilience yield dividends? Co-benefits of investing in increased resilience in Cedar Rapids. An Examination of National Supply-Chain Flow Time. Australia's regional innovation systems: inter-industry interaction in innovative activities in three Australian territories.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1