Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
M. Nageswara Rao
S. Vara Kumari
P. Manohar
B. Madesh
P. Naveen Krishna
R. Suraj Krishna Sai
2020-02-29
<p>High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems-a new metaheuristic Ant Colony Optimization (ACO) algorithm is proposed.</p>
https://doi.org/10.35940/ijeat.C5410.029320
oai:zenodo.org:5574790
eng
Zenodo
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
International Journal of Engineering and Advanced Technology (IJEAT), 9(3), 1392-1397, (2020-02-29)
FMS; Operational Completion Time (makespan); Metaheuristic algorithms; AGVs; NP-hard problems.
Simultaneous Scheduling of Machines and AGVs in FMS Through Ant Colony Optimization Algorithm
info:eu-repo/semantics/article