Improving Flow Lines by Unbalancing | Zendy

Zsolt Mihály | Zendy; Z. Lelkes | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Improving Flow Lines by Unbalancing

Author(s) -

Zsolt Mihály,

Z. Lelkes

Publication year - 2019

Publication title -

informatica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 34

eISSN - 1854-3871

pISSN - 0350-5596

DOI - 10.31449/inf.v43i1.2676

Subject(s) - computer science , discrete event simulation , stability (learning theory) , flow (mathematics) , material flow , industrial engineering , line (geometry) , event (particle physics) , operations research , simulation , distributed computing , reliability engineering , mathematical optimization , engineering , mathematics , machine learning , ecology , physics , geometry , quantum mechanics , biology

The paper's aim is to show how the performance of a balanced manufacturing flow line can be improved on the critical WIP level by making it unbalanced to some extent. The explanation and a quantitative example are presented. There is a trade-off between system balance and stability, and it can be handled as an optimization problem. Data are gathered using a physical simulation system. The analysis is carried out with a discrete time simulation program which applies next-event time advance mechanism. The model has been implemented in AIMMS modelling language.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research