Ten industrial software towards smart manufacturing

被引：0
作者：
Gao, Tianyi [1 ]
Wang, Lei [2 ]
Song, Wenyan [3 ]
Cheng, Ying [1 ]
Zuo, Ying [1 ]
Xiang, Feng [4 ]
Zhang, Haijun [5 ]
Tao, Fei [1 ,6 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China
[3] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
[4] Wuhan Univ Sci & Technol, Sch Machinery & Automat, Wuhan 430070, Peoples R China
[5] Zhengzhou Univ Aeronaut, Sch Aeronaut Engn, Zhengzhou 450015, Peoples R China
[6] Beihang Univ, Int Res Inst Multidisciplinary Sci, Digital Twin Int Res Ctr, Beijing 100191, Peoples R China
来源：
JOURNAL OF MANUFACTURING SYSTEMS | 2025年 / 79卷
基金：
中国国家自然科学基金;
关键词：
Smart manufacturing; Industrial software; Research and development software; Enterprise management software; Manufacturing software; Emerging software; PRODUCT LIFE-CYCLE; PLANNING SYSTEMS IMPLEMENTATION; TOOL PATH OPTIMIZATION; REMAINING USEFUL LIFE; BIG DATA ANALYTICS; FACILITY LAYOUT; ERP IMPLEMENTATION; FAULT-DIAGNOSIS; NEURAL-NETWORKS; CUTTING FORCE;
D O I：
10.1016/j.jmsy.2025.01.012
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Smart manufacturing has received increased attention from academia and industry in recent years, as it provides a competitive advantage for manufacturing companies making the industry more efficient and intelligent. As one of the most important roles for smart manufacturing, industrial software has been widely applied on enterprises and their factories to effectively improve design, management, manufacturing, and service level. This article focuses on a comprehensive review of the industrial software systems towards smart manufacturing. First, the close relationship between industrial software and smart manufacturing is analyzed. Second, we investigate views from national governments and well-known companies on the classification and role of industrial software, and put forward ten classifications of software most closely related to smart manufacturing. Then, the development history, function, academic research status and business application status are summarized. Finally, current challenges and future research directions are presented. It can help industry practitioners and researchers to know each other's fields, while promoting scientific results to be applied in commerce, and application difficulties to be focused in the scientific research.
引用
收藏
页码：255 / 285
页数：31
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