Management Systems in Production Engineering

Management Systems in Production Engineering 由 P.A. NOVA S.A. 出版，属中科院工程技术大类（2025 升级版4区）。按 OpenAlex 近年发文统计，该刊主要发表 Quality and Management Systems、Quality and Supply Management、Sustainable Supply Chain Management 等主题的论文，这 3 个主题约占 23.8%，主导子领域为 Industrial and Manufacturing Engineering、Strategy and Management。（根据 OpenAlex 主题统计与中科院分区数据生成）

Aims and ScopeThe journal is dedicated to advancing research, innovation, and practical solutions in the dynamic field of production engineering and management. It serves as a platform for knowledge exchange between academia and industry, supporting collaboration and the dissemination of cutting-edge developments in the discipline, including the rapidly growing application of artificial intelligence across production systems.The journal welcomes original scientific papers, including theoretical analyses, experimental research, and case studies, authored by scholars, researchers, and industry practitioners. It promotes the integration of theoretical frameworks with practical applications, responding to the evolving challenges and opportunities in modern manufacturing and engineering management, and to the transformation brought about by AI-driven and data-driven technologies.Scope and TopicsThe journal addresses a wide range of interdisciplinary themes, including but not limited to:Knowledge management, project management, and innovation processes in production systemsManufacturing engineering, smart manufacturing, automation, robotics, and maintenance strategiesArtificial intelligence and machine learning in production engineering, including predictive maintenance, computer vision for quality inspection, process optimisation, production scheduling, generative and large language models in engineering and managerial practiceQuality management, sustainable manufacturing, occupational safety, and risk managementSocial, economic, organizational, and ethical aspects of production systems, including the responsible and trustworthy deployment of AI, workforce competences, and human–AI collaborationDigital transformation, Industry 4.0 and Industry 5.0, digital twins, lean manufacturing, and supply chain resilienceData analytics, decision support systems, and AI governance in industrial contextsArticles presenting a holistic or systems-based approach to current production engineering problems are particularly encouraged, including studies that assess the organizational, economic, and environmental consequences of introducing AI into production systems rather than its technical performance alone. Due to its interdisciplinary nature, the journal is also relevant to researchers in operations management, industrial engineering, logistics, data-driven decision-making, and related fields.With a focus on emerging trends, such as green manufacturing, circular economy, artif

摘自期刊官网 Aims & Scope

研究方向（LetPub）：ENGINEERING, INDUSTRIAL

主编 Witold Biały出版商官网

编委会国家分布：中国大陆 1 位（约 8%）；主要国家 波兰 9、中国 1、美国 1、德国 1、瑞典 1（共 13 位编委标注了国家） 编委会 ↗出版商官网 · 2026-09-29

中科院期刊分区表

数据库收录

ESCIScopusDOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

影响因子（出版商公布）

16出版商官网 · 2026-09-29

CiteScore 2026-06

4.1LetPub · 2026-09-13

CiteScore（出版商公布）

41出版商官网 · 2026-09-29

SJR 2026-06

0.33LetPub · 2026-09-13

SNIP 2026-06

0.78LetPub · 2026-09-13

h-index

24OpenAlex · 2026-10-01

i10-index

103OpenAlex · 2026-10-01

两年平均被引

2.41OpenAlex · 2026-10-01

自引率

12.5%LetPub · 2026-09-13

Gold OA 文章占比

100%LetPub · 2026-09-13

发文规模

年文章数

60LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

平均审稿速度（社区反馈）

10 WeeksLetPub · 2026-09-13

投稿到发表（期刊自报）

约 10 周DOAJ · 2026-10-11

评审方式

双盲同行评审DOAJ

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

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出版商

P.A. NOVA S.A.

出版国家或地区

Poland

出版语言

English, Russian, Polish

ISSN

2299-0461

电子版 ISSN

2450-5781

官方链接

• 期刊主页 ↗DOAJ
• 作者指南 ↗DOAJ
• Aims & Scope ↗DOAJ
• APC 费用说明 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ
• 评审流程 ↗DOAJ
• 编委会 ↗DOAJ
• 查重政策 ↗DOAJ