This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Logistics Planning and Its Applications for Engine Plant under ‘Industry 4.0’
Technical Paper
2018-01-1205
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
With the arrival of Industry 4.0 era, traditional manufacturing industries will convert to intelligent systems. In addition to the computerization of manufacturing systems, logistics system will require automatic and IT-controlled processes integrated with Industry 4.0. This paper presents an analysis of the scope, hierarchy, and principles of logistics planning with emphasis on the concepts required to achieve intelligent logistic system.
Integrated logistics system will directly connect and manage the entire distribution chain visually from the material source to the end customer upwards and at the same time, connect to the warehouse of suppliers downwards. The logistics planning processes can be optimized by setting up mathematical models and logical relationship with virtual simulation and verification tools. Relying on big data and cloud computing for sales forecasts permits better adjustment of inventory levels across the entire supply chain. A real case study by the application of logistics planning under Industry 4.0 and the advantages that come with it is given in this paper. Consequently, the processes and results in this study provide a reference for logistics planning conducted in the context of Industry 4.0, and this study can be helpful for researchers and managers in their work.
Authors
Topic
Citation
LI, F., Sijun, L., and Cui, Y., "Logistics Planning and Its Applications for Engine Plant under ‘Industry 4.0’," SAE Technical Paper 2018-01-1205, 2018, https://doi.org/10.4271/2018-01-1205.Also In
References
- Feng , X. Software requirements best practices - SERU process framework theory and application Beijing Electronic Industry Press 2013 5 ISBN 9787121073953
- Christopher , M. Logistics and Supply Chain Management Strategies for Reducing Cost and Improving Service Second London Financial Times: Pitman Publishing 1998 ISBN 0273630490
- Yan , L. and Zhiming , W. Genetic Algorithms Application in Flexible Dynamic Scheduling Shanghai JiaoTong University Academic Journal 02 2001 10.3321/j.issn:1006-2467.2001.02.022