Analysis, optimization, and collaboration in digital manufacturing and supply chain systems

被引：1
|
作者：
Ivanov, Dmitry [1 ]
Guo, Zhaoxia [2 ]
Shen, Bin [3 ]
Chang, Qing [4 ]
机构：
[1] Sch Econ & Law, Badensche Str 52, D-10825 Berlin, Germany
[2] Sichuan Univ, Business Sch, 29 Wangjiang Rd, Chengdu 610065, Peoples R China
[3] Donghua Univ, Sun Sch Business & Management, 1882 Yanan West Rd, Shanghai 200051, Peoples R China
[4] Univ Virginia, Sch Engn & Appl Sci, 122 Engineers Way, Charlottesville, VA 22904 USA
来源：
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2024年 / 269卷
关键词：
D O I：
10.1016/j.ijpe.2023.109130
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The rapid evolution of digital technologies has triggered a multitude of new research areas in manufacturing and supply chains. To explore the state-of-the-art knowledge on methods, models, capabilities, and technologies of analysis, optimization, and collaboration in digital manufacturing and supply chain systems, we edited this important IJPE special issue. The articles in the special issue can be used by researchers and practitioners alike to understand recent advances and practices of digitalization in supply chain networks and manufacturing firms and lay the solid foundation for further developments in this area.
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页数：4
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