This work deals with production smoothing, one of the keys of success of Just In Time and Lean Production. By levelling the load of the workstations, production smoothing allows a regular material flow, shorter manufacturing lead times, and lower work in process. Different solutions to the mixed-model assembly lines sequencing problem have been proposed in literature. In this paper, a Multi-Agent System is presented, which solves this problem according to the theory of autonomous agents. The experimental results show that this innovative approach has a good performance if compared with the traditional ones.
%0 Journal Article
%1 caridi2000mas
%A Caridi, Maria
%A Sianesi, Andrea
%D 2000
%J International Journal of Production Economics
%K Multi Production agent control systemplanning
%N 1
%P 29 - 42
%R https://doi.org/10.1016/S0925-5273(99)00097-3
%T Multi-agent systems in production planning and control: An application to the scheduling of mixed-model assembly lines
%U http://www.sciencedirect.com/science/article/pii/S0925527399000973
%V 68
%X This work deals with production smoothing, one of the keys of success of Just In Time and Lean Production. By levelling the load of the workstations, production smoothing allows a regular material flow, shorter manufacturing lead times, and lower work in process. Different solutions to the mixed-model assembly lines sequencing problem have been proposed in literature. In this paper, a Multi-Agent System is presented, which solves this problem according to the theory of autonomous agents. The experimental results show that this innovative approach has a good performance if compared with the traditional ones.
@article{caridi2000mas,
abstract = {This work deals with production smoothing, one of the keys of success of Just In Time and Lean Production. By levelling the load of the workstations, production smoothing allows a regular material flow, shorter manufacturing lead times, and lower work in process. Different solutions to the mixed-model assembly lines sequencing problem have been proposed in literature. In this paper, a Multi-Agent System is presented, which solves this problem according to the theory of autonomous agents. The experimental results show that this innovative approach has a good performance if compared with the traditional ones.},
added-at = {2020-06-13T23:18:18.000+0200},
author = {Caridi, Maria and Sianesi, Andrea},
biburl = {https://www.bibsonomy.org/bibtex/2466c3c66373fc23721b6b97e953bce09/porta},
doi = {https://doi.org/10.1016/S0925-5273(99)00097-3},
interhash = {fb7b7f61e6a2cb226fc7f9d5621f9279},
intrahash = {466c3c66373fc23721b6b97e953bce09},
issn = {0925-5273},
journal = {International Journal of Production Economics},
keywords = {Multi Production agent control systemplanning},
number = 1,
pages = {29 - 42},
timestamp = {2020-06-13T23:18:18.000+0200},
title = {Multi-agent systems in production planning and control: An application to the scheduling of mixed-model assembly lines},
url = {http://www.sciencedirect.com/science/article/pii/S0925527399000973},
volume = 68,
year = 2000
}