A robust optimization approach for unequal-area dynamic facility layout with demand uncertainty

Xi Xiao; Yaoguang Hu; Weidong Wang; Weibo Ren

doi:10.1016/j.procir.2019.03.161

A robust optimization approach for unequal-area dynamic facility layout with demand uncertainty

Xi Xiao
, Yaoguang Hu^*
, Weidong Wang
, Weibo Ren

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

12 Citations (Scopus)

Abstract

Owing to the dramatic increase of the individualized demand, mass customization has become a mainstream production mode with product demand uncertainty, which leads to logistics uncertainties at each production stage. To handle these different types of uncertainties, a hybrid robust optimization model for unequal-area dynamic facility layout problem (UA-DFLP) considering the location of pick-up and drop-off points (P/D points) is proposed. Furthermore, an improved particle swarm optimization (PSO) algorithm is developed to solve the proposed model. A real case acquired from an assembly line demonstrates the effectiveness of the approach.

Original language	English
Pages (from-to)	594-599
Number of pages	6
Journal	Procedia CIRP
Volume	81
DOIs	https://doi.org/10.1016/j.procir.2019.03.161
Publication status	Published - 2019
Event	52nd CIRP Conference on Manufacturing Systems, CMS 2019 - Ljubljana, Slovenia Duration: 12 Jun 2019 → 14 Jun 2019

Keywords

Demand uncertainty
Facility layout
Robust optimization
Unequal area

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10.1016/j.procir.2019.03.161

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title = "A robust optimization approach for unequal-area dynamic facility layout with demand uncertainty",

abstract = "Owing to the dramatic increase of the individualized demand, mass customization has become a mainstream production mode with product demand uncertainty, which leads to logistics uncertainties at each production stage. To handle these different types of uncertainties, a hybrid robust optimization model for unequal-area dynamic facility layout problem (UA-DFLP) considering the location of pick-up and drop-off points (P/D points) is proposed. Furthermore, an improved particle swarm optimization (PSO) algorithm is developed to solve the proposed model. A real case acquired from an assembly line demonstrates the effectiveness of the approach.",

keywords = "Demand uncertainty, Facility layout, Robust optimization, Unequal area",

author = "Xi Xiao and Yaoguang Hu and Weidong Wang and Weibo Ren",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier Ltd.; 52nd CIRP Conference on Manufacturing Systems, CMS 2019 ; Conference date: 12-06-2019 Through 14-06-2019",

year = "2019",

doi = "10.1016/j.procir.2019.03.161",

language = "English",

volume = "81",

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journal = "Procedia CIRP",

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TY - JOUR

T1 - A robust optimization approach for unequal-area dynamic facility layout with demand uncertainty

AU - Xiao, Xi

AU - Hu, Yaoguang

AU - Wang, Weidong

AU - Ren, Weibo

PY - 2019

Y1 - 2019

N2 - Owing to the dramatic increase of the individualized demand, mass customization has become a mainstream production mode with product demand uncertainty, which leads to logistics uncertainties at each production stage. To handle these different types of uncertainties, a hybrid robust optimization model for unequal-area dynamic facility layout problem (UA-DFLP) considering the location of pick-up and drop-off points (P/D points) is proposed. Furthermore, an improved particle swarm optimization (PSO) algorithm is developed to solve the proposed model. A real case acquired from an assembly line demonstrates the effectiveness of the approach.

AB - Owing to the dramatic increase of the individualized demand, mass customization has become a mainstream production mode with product demand uncertainty, which leads to logistics uncertainties at each production stage. To handle these different types of uncertainties, a hybrid robust optimization model for unequal-area dynamic facility layout problem (UA-DFLP) considering the location of pick-up and drop-off points (P/D points) is proposed. Furthermore, an improved particle swarm optimization (PSO) algorithm is developed to solve the proposed model. A real case acquired from an assembly line demonstrates the effectiveness of the approach.

KW - Demand uncertainty

KW - Facility layout

KW - Robust optimization

KW - Unequal area

UR - https://www.scopus.com/pages/publications/85068468374

U2 - 10.1016/j.procir.2019.03.161

DO - 10.1016/j.procir.2019.03.161

M3 - Conference article

AN - SCOPUS:85068468374

SN - 2212-8271

VL - 81

SP - 594

EP - 599

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 52nd CIRP Conference on Manufacturing Systems, CMS 2019

Y2 - 12 June 2019 through 14 June 2019

ER -

A robust optimization approach for unequal-area dynamic facility layout with demand uncertainty

Abstract

Keywords

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