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文献互助智能选刊最新文献

Production Engineering-Research and Development

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1344

WOS期刊分区历年影响因子历年发表投稿信息同类期刊

影响因子：

1.7

ISSN：

print: 0944-6524
on-line: 1863-7353

研究领域：

ENGINEERING, MANUFACTURING-

自引率：

5.90%

Gold OA文章占比：

77.35%

原创研究文献占比：

98.77%

SCI收录类型：

Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)

期刊官网：

https://www.springer.com/11740 https://link.springer.com/journal/11740

期刊介绍英文：

The journal reports peer reviewed results of latest research in industrial engineering, production engineering and industrial organization. The high level and focus on both the scientific as well as the practical impact of the selected papers will bridge the gap between research and successful industrial application. Researchers in production engineering as well as in operation management and supply chain organization will find recent valuable developments. The main topics span from novel production processes via computer aided engineering to process chain and factory management. Frequently published key note papers provide succinct reviews on the recent progress in particular research areas.

CiteScore：

CiteScore	SJR	SNIP	CiteScore排名
4.1	0.586	1.117	学科排名百分位大类：Engineering 小类：Mechanical Engineering 233 / 672 65% 大类：Engineering 小类：Industrial and Manufacturing Engineering 137 / 384 64%

发文信息

WOS期刊分区

学科分类
Q4ENGINEERING, MANUFACTURING

历年影响因子

2022年	1.7000
2023年	1.7000

历年发表

2012年	85
2013年	81
2014年	76
2015年	55
2016年	56
2017年	77
2018年	84
2019年	71
2020年	64
2021年	90
2022年	71

投稿信息

出版周期：

6 issues per year

出版国家(地区)：

Germany

初审时长：

1 days

投稿网址：

https://www.editorialmanager.com/pere/

出版商：

Springer Nature

PubMed链接：

http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0944-6524%5BISSN%5D

Production Engineering-Research and Development - 最新文献

An adaptive and integrated reference model for supplier selection: application to product development and serialized component supply

Pub Date : 2023-08-30 DOI: 10.1007/s11740-023-01221-7 Adauto Lucas da Silva, A. C. P. Júnior, Paulo Sérgio de Arruda Ignácio, Alessandro Lucas da Silva

Effect of a strain rate dependent material modeling of a steel on the prediction accuracy of a numerical deep drawing process

Pub Date : 2023-08-23 DOI: 10.1007/s11740-023-01222-6 Eva Vallaster, S. Wiesenmayer, M. Merklein

Priority-based multi-objective algorithms for green supply chain network design with disruption consideration

Pub Date : 2023-08-15 DOI: 10.1007/s11740-023-01220-8 N. Masruroh, A. Rifai, Y. P. Mulyani, Vhysnu Satya Ananta, M. Luthfiansyah, Famila Dwi Winati

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