衡量制造业在美国的重要性。

IF 0.8 Q4 ENGINEERING, MANUFACTURING Smart and Sustainable Manufacturing Systems Pub Date : 2020-01-01 DOI:10.1520/SSMS20200054
K C Morris, Douglas S Thomas
{"title":"衡量制造业在美国的重要性。","authors":"K C Morris,&nbsp;Douglas S Thomas","doi":"10.1520/SSMS20200054","DOIUrl":null,"url":null,"abstract":"<p><p>Economic value added is a primary metric for measuring manufacturing activity; however, this metric and others exclude approximately half of the economic activity necessary for producing manufactured goods. With the recent disruption in the supply of goods and services by the COVID-19 pandemic, the criticality of these supply chains to production has become more apparent. Measuring and understanding these additional activities is foundational to reducing the effect of supply chain disruption. Additionally, manufacturing supply chains are fundamental to any response to the virus, including the production of masks, tests, and eventually a vaccine. When looked at closely, manufacturing stands out as a key driver of our economy. New manufacturing technologies can be leveraged to differentiate products in multiple ways resulting in a greater variety of products made more efficiently, with less environmental impacts, and higher quality. In addition, the digitization of manufacturing supports supply chains that are more connected, anticipatory, and agile. Metrics are needed that better reflect the role manufacturing plays in society, that better identify the social gains manufacturing produces, and that better establish the total economic activity that drives production. In this paper we propose a macro-economic metric to better measure the influence of manufacturing on our economy as an example of one such measure. We argue a need for solidifying similar radical changes to our current ways of measuring manufacturing's relevance and emphasizing the impact of new technologies that support the manufacturing economic sector.</p>","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751656/pdf/nihms-1701362.pdf","citationCount":"0","resultStr":"{\"title\":\"Measuring Manufacturing's Significance in the USA.\",\"authors\":\"K C Morris,&nbsp;Douglas S Thomas\",\"doi\":\"10.1520/SSMS20200054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Economic value added is a primary metric for measuring manufacturing activity; however, this metric and others exclude approximately half of the economic activity necessary for producing manufactured goods. With the recent disruption in the supply of goods and services by the COVID-19 pandemic, the criticality of these supply chains to production has become more apparent. Measuring and understanding these additional activities is foundational to reducing the effect of supply chain disruption. Additionally, manufacturing supply chains are fundamental to any response to the virus, including the production of masks, tests, and eventually a vaccine. When looked at closely, manufacturing stands out as a key driver of our economy. New manufacturing technologies can be leveraged to differentiate products in multiple ways resulting in a greater variety of products made more efficiently, with less environmental impacts, and higher quality. In addition, the digitization of manufacturing supports supply chains that are more connected, anticipatory, and agile. Metrics are needed that better reflect the role manufacturing plays in society, that better identify the social gains manufacturing produces, and that better establish the total economic activity that drives production. In this paper we propose a macro-economic metric to better measure the influence of manufacturing on our economy as an example of one such measure. We argue a need for solidifying similar radical changes to our current ways of measuring manufacturing's relevance and emphasizing the impact of new technologies that support the manufacturing economic sector.</p>\",\"PeriodicalId\":51957,\"journal\":{\"name\":\"Smart and Sustainable Manufacturing Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751656/pdf/nihms-1701362.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart and Sustainable Manufacturing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1520/SSMS20200054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart and Sustainable Manufacturing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1520/SSMS20200054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0

摘要

经济增加值是衡量制造业活动的主要指标;然而,这一指标和其他指标排除了生产制成品所需的大约一半的经济活动。随着最近COVID-19大流行对商品和服务供应的中断,这些供应链对生产的重要性变得更加明显。衡量和理解这些额外的活动是减少供应链中断影响的基础。此外,制造供应链是应对病毒的基础,包括生产口罩、检测以及最终的疫苗。如果仔细观察,就会发现制造业是我们经济的关键驱动力。可以利用新的制造技术以多种方式区分产品,从而更有效地生产出更多种类的产品,对环境的影响更小,质量更高。此外,制造业的数字化支持更紧密、更有预见性和更敏捷的供应链。我们需要更好地反映制造业在社会中扮演的角色、更好地确定制造业产生的社会收益、更好地确定推动生产的总体经济活动的指标。在本文中,我们提出了一个宏观经济指标,以更好地衡量制造业对我国经济的影响,作为一个这样的措施的例子。我们认为有必要对我们目前衡量制造业相关性的方式进行类似的激进变革,并强调支持制造业经济部门的新技术的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Measuring Manufacturing's Significance in the USA.

Economic value added is a primary metric for measuring manufacturing activity; however, this metric and others exclude approximately half of the economic activity necessary for producing manufactured goods. With the recent disruption in the supply of goods and services by the COVID-19 pandemic, the criticality of these supply chains to production has become more apparent. Measuring and understanding these additional activities is foundational to reducing the effect of supply chain disruption. Additionally, manufacturing supply chains are fundamental to any response to the virus, including the production of masks, tests, and eventually a vaccine. When looked at closely, manufacturing stands out as a key driver of our economy. New manufacturing technologies can be leveraged to differentiate products in multiple ways resulting in a greater variety of products made more efficiently, with less environmental impacts, and higher quality. In addition, the digitization of manufacturing supports supply chains that are more connected, anticipatory, and agile. Metrics are needed that better reflect the role manufacturing plays in society, that better identify the social gains manufacturing produces, and that better establish the total economic activity that drives production. In this paper we propose a macro-economic metric to better measure the influence of manufacturing on our economy as an example of one such measure. We argue a need for solidifying similar radical changes to our current ways of measuring manufacturing's relevance and emphasizing the impact of new technologies that support the manufacturing economic sector.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Smart and Sustainable Manufacturing Systems
Smart and Sustainable Manufacturing Systems ENGINEERING, MANUFACTURING-
CiteScore
2.50
自引率
0.00%
发文量
17
期刊最新文献
DMAIC-v2: A Novel Guide to the Improvement of Industrial Processes Identification and Interpretation of Melt Pool Shapes in Laser Powder Bed Fusion with Machine Learning Study on the deformation capacity of multi-material 4D-printed LCE actuators Effect of laser energy density on transformation behavior and mechanical property of NiTi alloys fabricated by laser powder bed fusion Smart Manufacturing Implementation of a Continuous Downstream Precipitation and Filtration Process for Antibody Purification
×
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