Towards smart layout design for a reconfigurable manufacturing system

被引:19
作者
Arnarson, Halldor [1 ]
Yu, Hao [1 ]
Olavsbraten, Morten Monland [1 ]
Bremdal, Bernt Arild [2 ,3 ]
Solvang, Bjorn [1 ]
机构
[1] UiT Arctic Univ Norway, Dept Ind Engn, Lodve Langesgate 2, N-8514 Narvik, Nordland, Norway
[2] Smart Innovat Norway, Hakon Melbergs Vei 16, N-1783 Halden, Nordland, Norway
[3] UiT Arctic Univ Norway, Dept Comp Sci & Computat Engn, Lodve Langesgate 2, N-8514 Narvik, Nordland, Norway
关键词
Reconfigurable manufacturing system (RMS); Layout problem for RMS; Digital twin simulation; Industry; 4; 0; OPTIMIZATION APPROACH; GENETIC ALGORITHM; CONFIGURATION; RMS;
D O I
10.1016/j.jmsy.2023.03.012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Global competition and increased variety in products have created challenges for manufacturing companies. One solution to handle the variety in production is to use reconfigurable manufacturing systems (RMS). These are modular systems where machines can be rearranged depending on what is being manufactured. However, implementing a rearrangeable system drastically increases complexity, among which one challenge with RMS is how to design a new layout for a customized product in a highly autonomous and responsive fashion, known as the layout design problem. In this paper, we combine several Industry 4.0 technologies, i.e., IIoT, digital twin, simulation, advanced robotics, and artificial intelligence (AI), together with optimization to create a smart layout design system for RMS. The system automates the layout design process of RMS and removes the need for humans to design a new layout of the system.
引用
收藏
页码:354 / 367
页数:14
相关论文
共 44 条
[1]   A survey on evolutionary machine learning [J].
Al-Sahaf, Harith ;
Bi, Ying ;
Chen, Qi ;
Lensen, Andrew ;
Mei, Yi ;
Sun, Yanan ;
Tran, Binh ;
Xue, Bing ;
Zhang, Mengjie .
JOURNAL OF THE ROYAL SOCIETY OF NEW ZEALAND, 2019, 49 (02) :205-228
[2]   Analysis of drivers for solving facility layout problems: A Literature review [J].
Al-Zubaidi, Salam Qaddoori Dawood ;
Fantoni, Gualtiero ;
Failli, Franco .
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2021, 21
[3]  
[Anonymous], 2022, VISUAL COMPONENTS
[4]  
[Anonymous], 2011, ETFA2011, DOI DOI 10.1109/ETFA.2011.6059047
[5]   Towards automatic configuration and programming of a manufacturing cell [J].
Arnarson, Halldor ;
Mahdi, Hussein ;
Solvang, Bjorn ;
Bremdal, Bernt Arild .
JOURNAL OF MANUFACTURING SYSTEMS, 2022, 64 :225-235
[6]   Mathematical Modeling for reconfigurable process planning [J].
Azab, A. ;
ElMaraghy, H. A. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2007, 56 (01) :467-472
[7]   Machine layout design problem under product family evolution in reconfigurable manufacturing environment: a two-phase-based AMOSA approach [J].
Benderbal, Hichem Haddou ;
Benyoucef, Lyes .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 104 (1-4) :375-389
[8]   Exhaustive Search Based Heuristic for Solving Machine Layout Problem in Reconfigurable Manufacturing System Design [J].
Benderbal, Hichem Haddou ;
Dahane, Mohammed ;
Benyoucef, Lyes .
IFAC PAPERSONLINE, 2018, 51 (11) :78-83
[9]   A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems [J].
Bensmaine, A. ;
Dahane, M. ;
Benyoucef, L. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (12) :3583-3594
[10]   A non-dominated sorting genetic algorithm based approach for optimal machines selection in reconfigurable manufacturing environment [J].
Bensmaine, Abderrahmane ;
Dahane, Mohammed ;
Benyoucef, Lyes .
COMPUTERS & INDUSTRIAL ENGINEERING, 2013, 66 (03) :519-524