Optimisation of the Logistics System in an Electric Motor Assembly Flowshop by Integrating the Taguchi Approach and Discrete Event Simulation

Yongjian Jiang, Dongyun Wang (), Wenjun Xia () and Wencai Li
Additional contact information
Yongjian Jiang: College of Engineering, Zhejiang Normal University, No. 688 Yinbing Avenue, Jinhua 321004, China
Dongyun Wang: College of Engineering, Zhejiang Normal University, No. 688 Yinbing Avenue, Jinhua 321004, China
Wenjun Xia: College of Engineering, Zhejiang Normal University, No. 688 Yinbing Avenue, Jinhua 321004, China
Wencai Li: Jinfei Holding Group Co., Ltd., Jinhua 321012, China

Sustainability, 2022, vol. 14, issue 24, 1-15

Abstract: An electric motor assembly flowshop (EMAF) is a type of classical mixed-product assembly line that uses automatic guided vehicle (AGV) systems for material handling. To optimise the logistics system configuration and alleviate the impact of the AGV parameters on the efficiency of the EMAF, a modelling and optimisation method based on discrete event simulation (DES) combined with Taguchi orthogonal experimental design was proposed. A DES model of the entire production process for the EMAF was constructed using the Tecnomatix Plant Simulation software package. After optimisation of the principal layout in the DES model, the number of assembly stations was decreased from 13 to 9, and the balance ratio was increased from 65.08% to 84.65%. In addition, the combination of the Taguchi method with the DES model was further developed to achieve the optimal parameter combination of the AGVs in order to allow the AGVs to operate more efficiently under various states. The final overall theoretical throughput was increased from 134 to 295 units within the seven-hour observation period.

Keywords: discrete event simulation; Taguchi method; assembly flowshop; logistics parameter optimisation; throughput (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/24/16770/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/24/16770/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:24:p:16770-:d:1003431

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().