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Production Planning & Control

Production Planning & ControlSCIE

国际简称:PROD PLAN CONTROL  参考译名:生产计划与控制

  • 中科院分区

    3区

  • CiteScore分区

    Q1

  • JCR分区

    Q1

基本信息:
ISSN:0953-7287
E-ISSN:1366-5871
是否OA:未开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:ENGLAND
出版商:Taylor and Francis Ltd.
出版语言:English
出版周期:Bimonthly
出版年份:1990
研究方向:管理科学-工程:工业
评价信息:
影响因子:6.1
H-index:66
CiteScore指数:19.3
SJR指数:2.02
SNIP指数:2.207
发文数据:
Gold OA文章占比:30.11%
研究类文章占比:95.74%
年发文量:94
自引率:0.0963...
开源占比:0.1562
出版撤稿占比:0
出版国人文章占比:0.05
OA被引用占比:0.0335...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Production Planning & Control期刊介绍

Production Planning & Control is an international journal that brings together research papers on the management of operations in all industries. The journal focuses on research that stems from an industrial need and can guide the activities of managers and future researchers. With the aim of developing the research community in operations management, pictures and bios of authors together with their contact details are provided with each paper. Where possible, reviewers provide guidance for the improvement of papers including those being rejected. We also welcome book reviews dealing with books of relevance to our readers.

Production Planning & Control welcomes papers that describe research based on the emerging needs of industry, making clear the nature of the industrial problem. Any appropriate research methods may be used and each paper should justify the method applied. Case studies are welcome where they illustrate research needs or application problems that have significance at the international level. Writers should relate their work to the existing knowledge in the field, especially with regard to the implications of the work for management practice and setting the agenda for future research.

期刊简介Production Planning & Control期刊介绍

《Production Planning & Control》自1990出版以来,是一本管理学优秀杂志。致力于发表原创科学研究结果,并为管理学各个领域的原创研究提供一个展示平台,以促进管理学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道管理学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Production Planning & Control Cite Score数据

  • CiteScore:19.3
  • SJR:2.02
  • SNIP:2.207
学科类别 分区 排名 百分位
大类:Decision Sciences 小类:Management Science and Operations Research Q1 2 / 207

99%

大类:Decision Sciences 小类:Strategy and Management Q1 8 / 478

98%

大类:Decision Sciences 小类:Computer Science Applications Q1 21 / 817

97%

大类:Decision Sciences 小类:Industrial and Manufacturing Engineering Q1 13 / 384

96%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Production Planning & Control 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
管理学 3区 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 ENGINEERING, INDUSTRIAL 工程:工业 ENGINEERING, MANUFACTURING 工程:制造 2区 3区 3区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Production Planning & Control JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, INDUSTRIAL SCIE Q1 13 / 69

81.9%

学科:ENGINEERING, MANUFACTURING SCIE Q1 12 / 68

83.1%

学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE SCIE Q1 13 / 106

88.2%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, INDUSTRIAL SCIE Q1 14 / 69

80.43%

学科:ENGINEERING, MANUFACTURING SCIE Q1 15 / 68

78.68%

学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE SCIE Q1 17 / 106

84.43%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • England191
  • Italy52
  • CHINA MAINLAND43
  • France39
  • India39
  • Brazil38
  • USA35
  • Australia29
  • Wales20
  • GERMANY (FED REP GER)18

本刊中国学者近年发表论文

  • 1、Servitization and performance: the moderating effect of supply chain integration

    Author: Li, Huashan; Yang, Yang; Singh, Prakash; Sun, Hongyi; Tian, Yezhuang

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. 34, Issue 3, pp. 242-259. DOI: 10.1080/09537287.2021.1905900

  • 2、Time pressure and coordinating project design in inter-functional teams: a configurational approach

    Author: Ju, Chuanjing; Ning, Yan

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. 34, Issue 4, pp. 391-402. DOI: 10.1080/09537287.2021.1926567

  • 3、A fuzzy synthetic evaluation of capabilities for improving supply chain resilience of industrialised construction: a Hong Kong case study

    Author: Ekanayake, E. M. A. C.; Shen, Geoffrey Q. P.; Kumaraswamy, Mohan M.

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. 34, Issue 7, pp. 623-640. DOI: 10.1080/09537287.2021.1946330

  • 4、A typology of supply chain resilience: recognising the multi-capability nature of proactive and reactive contexts

    Author: Faruquee, Murtaza; Paulraj, Antony; Irawan, Chandra Ade

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. , Issue , pp. -. DOI: 10.1080/09537287.2023.2202151

  • 5、When does control curb opportunistic behaviour: evidence from the construction industry

    Author: Tang, Yinqiu; Chen, Yongqiang; Yao, Hongjiang; Chen, Yuting

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. , Issue , pp. -. DOI: 10.1080/09537287.2023.2166882

  • 6、Application of mechanical product design parameter optimization based on machine learning in identification

    Author: Wang, ChunCai; Ye, Chang; Bi, YanRu; Wang, JiXin; Han, YunWu

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. , Issue , pp. -. DOI: 10.1080/09537287.2022.2160388

  • 7、How do institutional forces affect firm agility through organisational justice? Differences between Chinese and foreign firms in China

    Author: Feng, Mengying; Yu, Wantao; Chavez, Roberto; Cadden, Trevor; Wong, Chee Yew

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. , Issue , pp. -. DOI: 10.1080/09537287.2023.2170293

  • 8、The relevance of tea culture and recreation industry development based on intelligent big data analysis

    Author: Qi, Lin

    Journal: PRODUCTION PLANNING & CONTROL. 2023; Vol. , Issue , pp. -. DOI: 10.1080/09537287.2023.2169648

投稿常见问题

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