A review of artificial intelligence applications in apparel industry

被引：26
作者：
Noor, Abid [1 ]
Saeed, Muhammad Asad [1 ]
Ullah, Tehseen [1 ]
Uddin, Zia [1 ]
Ullah Khan, Raja Muhammad Waseem [1 ]
机构：
[1] Natl Text Univ, Dept Text Engn, Faisalabad 37610, Pakistan
来源：
JOURNAL OF THE TEXTILE INSTITUTE | 2022年 / 113卷 / 03期
关键词：
Artificial Intelligence; neural network; multi-agent system; artificial immune system; genetic algorithm; EXTREME LEARNING-MACHINE; DECISION-SUPPORT-SYSTEM; NEURAL-NETWORK; GENETIC-ALGORITHM; OPTIMIZATION MODEL; IMMUNE ALGORITHM; LAYOUT PROBLEM; DESIGN; PERFORMANCE; ALLOCATION;
D O I：
10.1080/00405000.2021.1880088
中图分类号：
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号：
0805 ; 080502 ; 0821 ;
摘要：
Nowadays apparel industries face ever-increasing global competition and unpredictable variations in demand. These pressures force manufacturers to consistently improve the efficiency of their manufacturing process to produce the finished product within the most reasonable timeline and the lowest cost of production. However, under a complex and fuzzy manufacturing environment, optimal, and consistent solutions are difficult to obtain. Consequently, in response to the need for new methods, a significant (steadily increasing) number of initiatives have sought to explore and optimize the use of artificial intelligence (AI) techniques in a range of industrial applications. This article demonstrates that research is still limited on AI application in the apparel industry by examining and analyzing the limitations of research challenges and previous studies. This article also addresses the problems facing the implementation of AI technologies in the apparel industry.
引用
收藏
页码：505 / 514
页数：10
相关论文
共 97 条
[1]  
Abeysooriya R.P., 2012, INT J INFORM COMMUNI, V2, P348
[2]  
Anaraki N. A. T., 2017, INT J ENG RES TECHNO, V6, P365
[3]  
Anupreet K., 2016, INT J INFORM RES REV, V3, P2541
[4]   Decision model for country site selection of overseas clothing plants [J].
Au, K. F. ;
Wong, W. K. ;
Zeng, X. H. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 29 (3-4) :408-417
[5]   Fashion retail forecasting by evolutionary neural networks [J].
Au, Kin-Fan ;
Choi, Tsan-Ming ;
Yu, Yong .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 114 (02) :615-630
[6]  
BOUNSAYTHIP C, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, P4497, DOI 10.1109/ICSMC.1995.538503
[7]  
Bouziri A, 2007, LECT NOTES ARTIF INT, V4570, P454
[8]  
Burns AT, 1998, ASSOCIATION FOR INFORMATION SYSTEMS PROCEEDINGS OF THE AMERICAS CONFERENCE ON INFORMATION SYSTEMS, P140
[9]  
Caglayan Nadide, 2020, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing (AISC 1029), P451, DOI 10.1007/978-3-030-23756-1_56
[10]  
Celik H., 2016, ARTIFICIAL NEURAL NE
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