Application of Artificial Intelligence for Improving Internal Logistics in the Garment Industry: A Literature Review
Author:
Affiliation:
1. University Med V in Rabat,LASTIMI Laboratory,Morocco
2. University of Monastir,Textile Engineering Laboratory,Monastir,Tunisia
3. ESITH Casablanca,Center of Excellence in Logistics (CELOG),Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10308776/10308777/10308836.pdf?arnumber=10308836
Reference17 articles.
1. Simulated Annealing for the Assembly Line Balancing Problem in the Garment Industry
2. Workforce planning and assignment in mixed-model assembly lines as a factor of line reconfigurability: state of the art
3. A flow shop scheduling algorithm based on artificial neural network
4. A branch, bound, and remember algorithm for the simple disassembly line balancing problem
5. Hybrid optimisation approach reconfigurable assembly lines;maganha;IFAC- Paper,2019
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