FMS Scheduling Integration for Mass Customization

被引:3
作者
He, Yumin [1 ]
Smith, Milton [2 ]
机构
[1] Beihang Univ, Beijing 100191, Peoples R China
[2] Texas Tech Univ, Lubbock, TX 79409 USA
来源
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT II | 2021年 / 631卷
关键词
Mass customization; Flexible manufacturing system; FMS scheduling; Scheduling integration; FLEXIBLE MANUFACTURING SYSTEMS; AUTOMATED GUIDED VEHICLES; PART TYPE SELECTION; ROBOTIC CELLS; MIX RATIOS; JOB-SHOP; MACHINES; ALGORITHM;
D O I
10.1007/978-3-030-85902-2_54
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In today's manufacturing and supply chain environments, many companies face challenge in responding to customers' requirements quickly and providing customized products quickly at low cost. Mass customization can help companies in providing customized products and services quickly and at a low price. Integrated decision-making has been found effective in many situations. This paper reviews the scheduling research of flexible manufacturing systems (FMSs). The FMS scheduling problem is part of the FMS production and operation management problem. Because the production management of FMSs is very difficult, the FMS scheduling problem is very complicated. Many researchers have investigated the FMS scheduling problem. The paper summarizes the FMS scheduling research with recent development. In addition, a framework of FMS scheduling integration for mass customization is developed based on the literature survey. A control flow of FMS part processing is designed as part of the framework. Further development of the FMS scheduling integration is suggested.
引用
收藏
页码:507 / 515
页数:9
相关论文
共 49 条
[1]  
Abdelmaguid TF, 2004, INT J PROD RES, V42, P267, DOI [10.1080/0020754032000123579, 10.1080/0020754031000123579]
[2]   Scheduling of machines and automated guided vehicles in FMS using differential evolution [J].
Babu, A. Gnanavel ;
Jerald, J. ;
Haq, A. Noorul ;
Luxmi, V. Muthu ;
Vigneswaralu, T. P. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (16) :4683-4699
[3]   A coloured Petri net-based hybrid heuristic search approach to simultaneous scheduling of machines and automated guided vehicles [J].
Baruwa, Olatunde T. ;
Piera, Miquel A. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2016, 54 (16) :4773-4792
[4]   A time window approach to simultaneous scheduling of machines and material handling system in an FMS [J].
Bilge, U ;
Ulusoy, G .
OPERATIONS RESEARCH, 1995, 43 (06) :1058-1070
[5]  
Blazewicz J., 1991, International Journal of Flexible Manufacturing Systems, V4, P5, DOI 10.1007/BF01325094
[6]  
Browne J., 1984, FMS Magazine, V2, P114
[7]   An efficient bicriteria algorithm for stable robotic flow shop scheduling [J].
Che, Ada ;
Kats, Vladimir ;
Levner, Eugene .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 260 (03) :964-971
[8]   Sequencing and scheduling in robotic cells: Recent developments [J].
Dawande, M ;
Geismar, HN ;
Sethi, SP ;
Sriskandarajah, C .
JOURNAL OF SCHEDULING, 2005, 8 (05) :387-426
[9]   Multiple Part-Type Production in Robotic Cells: Equivalence of Two Real-World Models [J].
Dawande, Milind ;
Pinedo, Michael ;
Sriskandarajah, Chelliah .
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2009, 11 (02) :210-228
[10]   A simple metaheuristic approach to the simultaneous scheduling of machines and automated guided vehicles [J].
Deroussi, L. ;
Gourgand, M. ;
Tchernev, N. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (08) :2143-2164