Complex Robot Assembly Production Line of New Energy Component

DOI

10.2991/icaita-18.2018.27How to use a DOI?

Keywords

queuing network; flexible assembly line; capacity configuration; heuristic algorithm

Abstract

To analyze the capacity configuration problem of flexible assembly line under the environment of engineering-to-order with resource-oriented, an optimal model with dual constraints which are system production capacity (throughput) and order due-date (makespan) was built to minimize the equipment investment costs. Because the optimal problem is a random nonlinear integer programming problem, firstly, based on the model of open queuing network with finite buffers, an expansion method was developed to obtain the system performance measurers, and the relationship between buffer allocation and capacity configuration was presented. Then a heuristic optimization algorithm was put forward to determine the optimal program of capacity configuration. Finally, experiments to assess the accuracy of the expansion method were reported by comparing the results with simulation, and a case was studied to obtain the reasonable optimal program of capacity configuration.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Du
AU  - Feng Shi
AU  - Xikun Lu
PY  - 2018/03
DA  - 2018/03
TI  - Complex Robot Assembly Production Line of New Energy Component
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 108
EP  - 110
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.27
DO  - 10.2991/icaita-18.2018.27
ID  - Du2018/03
ER  -