Нүүр зураг

Supply chain management and Industry 4.0: conducting research in the digital age

-д хадгалсан:
-д хэвлэсэн:International Journal of Physical Distribution & Logistics Management vol. 49, no. 10 (2019), p. 945-955
Үндсэн зохиолч: Hofmann, Erik
Бусад зохиолчид: Sternberg, Henrik, Chen, Haozhe, Pflaum, Alexander, Prockl, Günter
Хэвлэсэн:
Emerald Group Publishing Limited
Нөхцлүүд:
Freight transportation
Big Data
Supply chains
Data processing
Collaboration
Logistics
Automation
Decision making
New technology
Reasoning
Supply chain management
Research
Data analysis
Cloud computing
Robotics
Artificial intelligence
Manufacturing
Industry 4.0
Digital technology
Business ecosystems
Онлайн хандалт:Citation/Abstract
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Хураангуй:Supply chain management and Industry 4.0: conducting research in the digital age Introduction In essence, Industry 4.0[1] enables an automated creation of goods and services as well as supply and delivery, which functions largely without human intervention. Industry 4.0 components and SCM 4.0 characteristics Industry 4.0 typically is declared as consisting of the following components and effects (based on Vogel-Heuser and Hess, 2016): service orientation based on CPS and the internet of services; CPS and multi-agent systems making decentralized decisions; interoperability between machine and human and virtualization of all resources; ability to flexible adaptation to changing requirements (cross-disciplinary modularity); Big data algorithm and technologies provided in real-time (real-time capability); optimization of processes due to flexible automation; data integration cross disciplines and along the life cycle; and access to data securely stored in a cloud or distributed data storage (e.g. blockchain). Combined with a discussion about metrics, this opens avenues for new interesting research questions on the cost and complexity of increased data availability and the resulting need for analytics. (2019) follow the design science methodology and use a novel algorithm to prove that an autonomous robot can perform stock-taking using RFID for item level identification much more accurately and efficiently than the traditional method of using human operators with RFID handheld readers.
ISSN:0960-0035
1758-664X
0020-7527
0269-8218
DOI:10.1108/IJPDLM-11-2019-399
Эх сурвалж:ABI/INFORM Global