Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology

Jianlin Fu; Jian Zhang; Guofu Ding; Shengfeng Qin; Haifan Jiang

doi:10.1177/0954405421995602

Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology

Jianlin Fu, Jian Zhang^*, Guofu Ding, Shengfeng Qin, Haifan Jiang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

99 Downloads (Pure)

Abstract

The determination of AGV vehicle requirements in a manufacturing system has a great impact on the system performance. This paper first defines the AGV vehicle requirement determination as a general optimization problem, and secondly develops a new AGV vehicle requirement determination method capable of effective solving the problem. This method features with the combination of discrete event simulation (DES), sensitivity analysis, fractional factorial design (FFD) and response surface methodology (RSM). Tests and comparisons with other simulation based methods have shown that the proposed method combining the simulation method with analytical method, can make full use of their respective advantages and overcome the defects of existing methods. It is more practical.

Original language	English
Article number	095440542199560
Pages (from-to)	1425-1436
Number of pages	12
Journal	Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume	235
Issue number	9
Early online date	20 Feb 2021
DOIs	https://doi.org/10.1177/0954405421995602
Publication status	Published - 1 Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

automated guided vehicle (AGV)
discrete event simulation
response surface methodology
simulation optimization

Access to Document

10.1177/0954405421995602

Determination of Vehicle Requirements finalAccepted author manuscript, 1.95 MB

Cite this

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title = "Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology",

abstract = "The determination of AGV vehicle requirements in a manufacturing system has a great impact on the system performance. This paper first defines the AGV vehicle requirement determination as a general optimization problem, and secondly develops a new AGV vehicle requirement determination method capable of effective solving the problem. This method features with the combination of discrete event simulation (DES), sensitivity analysis, fractional factorial design (FFD) and response surface methodology (RSM). Tests and comparisons with other simulation based methods have shown that the proposed method combining the simulation method with analytical method, can make full use of their respective advantages and overcome the defects of existing methods. It is more practical.",

keywords = "automated guided vehicle (AGV), discrete event simulation, response surface methodology, simulation optimization",

author = "Jianlin Fu and Jian Zhang and Guofu Ding and Shengfeng Qin and Haifan Jiang",

note = "This research is supported by the Major State Basic Research Program in Sichuan Province of China (Grant number 20YYJC4377).",

year = "2021",

month = jul,

day = "1",

doi = "10.1177/0954405421995602",

language = "English",

volume = "235",

pages = "1425--1436",

journal = "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture",

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publisher = "SAGE",

number = "9",

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Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology. / Fu, Jianlin; Zhang, Jian; Ding, Guofu et al.
In: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 235, No. 9, 095440542199560, 01.07.2021, p. 1425-1436.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology

AU - Fu, Jianlin

AU - Zhang, Jian

AU - Ding, Guofu

AU - Qin, Shengfeng

AU - Jiang, Haifan

N1 - This research is supported by the Major State Basic Research Program in Sichuan Province of China (Grant number 20YYJC4377).

PY - 2021/7/1

Y1 - 2021/7/1

N2 - The determination of AGV vehicle requirements in a manufacturing system has a great impact on the system performance. This paper first defines the AGV vehicle requirement determination as a general optimization problem, and secondly develops a new AGV vehicle requirement determination method capable of effective solving the problem. This method features with the combination of discrete event simulation (DES), sensitivity analysis, fractional factorial design (FFD) and response surface methodology (RSM). Tests and comparisons with other simulation based methods have shown that the proposed method combining the simulation method with analytical method, can make full use of their respective advantages and overcome the defects of existing methods. It is more practical.

AB - The determination of AGV vehicle requirements in a manufacturing system has a great impact on the system performance. This paper first defines the AGV vehicle requirement determination as a general optimization problem, and secondly develops a new AGV vehicle requirement determination method capable of effective solving the problem. This method features with the combination of discrete event simulation (DES), sensitivity analysis, fractional factorial design (FFD) and response surface methodology (RSM). Tests and comparisons with other simulation based methods have shown that the proposed method combining the simulation method with analytical method, can make full use of their respective advantages and overcome the defects of existing methods. It is more practical.

KW - automated guided vehicle (AGV)

KW - discrete event simulation

KW - response surface methodology

KW - simulation optimization

UR - https://www.scopus.com/pages/publications/85101236907

U2 - 10.1177/0954405421995602

DO - 10.1177/0954405421995602

M3 - Article

SN - 0954-4054

VL - 235

SP - 1425

EP - 1436

JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

IS - 9

M1 - 095440542199560

ER -

Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology

Abstract

UN SDGs

Keywords

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