Manufacturing System Lean Improvement Design Using Discrete Event Simulation

Date

2017-01-02

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Conference paper

ISSN

2212-8271

Format

Free to read from

Citation

Omogbai O, Salonitis K, Manufacturing System Lean Improvement Design Using Discrete Event Simulation, Procedia CIRP, Volume 57, 2016, Pages 195–200, Factories of the Future in the digital environment - Proceedings of the 49th CIRP Conference on Manufacturing Systems, 35-27th May 2016, Stuttgart, Germany

Abstract

Lean manufacturing (LM) has been used widely in the past for the continuous improvement of existing production systems. A Lean Assessment Tool (LAT) is used for assessing the overall performance of lean practices within a system, while a Discrete Event Simulation (DES) can be used for the optimization of such systems operations. Lean improvements are typically suggested after a LAT has been deployed, but validation of such improvements is rarely carried out. In the present article a methodology is presented that uses DES to model lean practices within a manufacturing system. Lean improvement scenarios are then be simulated and investigated prior to implementation, thereby enabling a systematic design of lean improvements.

Description

Software Description

Software Language

Github

Keywords

Lean manufacturing, lean assessment, discrete event simulation

DOI

Rights

Attribution-Non-Commercial-No Derivatives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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