Production Planning & Control SCIE
国际简称：PROD PLAN CONTROL 参考译名：生产计划与控制
主要研究方向：管理科学-工程：工业 非预警期刊 审稿周期： 较慢,6-12周
《生产计划与控制》(Production Planning & Control)是一本由Taylor and Francis Ltd.出版的以管理科学-工程：工业为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。
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.
Production Planning & Control期刊信息
- ISSN：0953-7287
- 出版语言：English
- 是否OA：未开放
- E-ISSN：1366-5871
- 出版地区：ENGLAND
- 是否预警：否
- 出版商：Taylor and Francis Ltd.
- 出版周期：Bimonthly
- 创刊时间：1990
- 开源占比：0.1562
- Gold OA文章占比：30.11%
- OA被引用占比：0.0335...
- 出版国人文章占比：0.05
- 出版撤稿占比：0
- 研究类文章占比：95.74%
Production Planning & Control CiteScore评价数据（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||||||||||||||
| 19.3 | 2.02 | 2.207 |
|
名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。
Production Planning & Control中科院评价数据
中科院 2023年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 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 2022年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 管理学 | 3区 | ENGINEERING, INDUSTRIAL 工程：工业 ENGINEERING, MANUFACTURING 工程：制造 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 3区 |
中科院 2021年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 管理学 | 2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 2021年12月基础版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 管理科学 | 2区 | ENGINEERING, INDUSTRIAL 工程：工业 ENGINEERING, MANUFACTURING 工程：制造 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 2区 3区 2区 |
中科院 2021年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 管理学 | 2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 2020年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 管理学 | 3区 | ENGINEERING, INDUSTRIAL 工程：工业 ENGINEERING, MANUFACTURING 工程：制造 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 3区 |
Production Planning & Control JCR评价数据（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% |
Production Planning & Control历年数据统计
影响因子
中科院分区
Production Planning & Control中国学者发文选摘
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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
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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
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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
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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
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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
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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
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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
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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
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