Modeling and application of configuration complexity scale: concept for customized production

被引:10
作者
Bednar, Slavomir [1 ]
Rauch, Erwin [2 ]
机构
[1] Tech Univ Kosice, Dept Ind Engn & Informat, Fac Mfg Technol, Bayerova 1, Presov 08001, Slovakia
[2] Free Univ Bozen Bolzano, Fac Sci & Technol Ind Engn & Automat IEA, Univ Pl 5, I-39100 Bolzano, Italy
关键词
Mass customization; Complexity; Assembly; Component; Configuration; Scale; MANUFACTURING SYSTEMS; MASS-CUSTOMIZATION; DESIGN; VARIETY; IMPACT;
D O I
10.1007/s00170-018-2659-5
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 current business environment, many original equipment manufacturers (OEMs) are employing mass customization strategies, which have implication on the entire operations of an enterprise and especially influence the character of their assembly processes. Increased product differentiation in context of mass-customized production (MCP) causes significant changes in complexity of assembly systems. Our focus in this paper is on the development of a methodological framework of mass-customized assembly modeling all possible product configurations and variants based on the number and type of assembly components from which final product configurations are completed. Subsequently, we propose an approach to determining the so-called configuration complexity scale based on combinatory used for many years as a foundation of methodologies for assessments of variety. The underlying hypothesis in this study is that configuration complexity scale offers a generic complexity framework for decision-making on variable products and production structures within Industry 4.0 concepts. The presented methodological framework is further applied on a particular case model of mass-customized assembly.
引用
收藏
页码:485 / 501
页数:17
相关论文
共 41 条
[1]  
Aichner T., 2013, Journal of Direct, Data and Digital Marketing Practice, V15, P20, DOI [https://doi.org/10.1057/dddmp.2013.34, DOI 10.1057/DDDMP.2013.34]
[2]  
Alkan B, 2018, EUR J IND ENG, V12, P116
[3]   Product architecting for personalization [J].
Berry, Christopher ;
Wang, Hui ;
Hu, S. Jack .
JOURNAL OF MANUFACTURING SYSTEMS, 2013, 32 (03) :404-411
[4]  
Carrasquillo V, 2016, P HUM FACT ERG SOC A, V60, P913
[5]   Use of the manufacturing system design decomposition for comparative analysis and effective design of production systems [J].
Cochran, David S. ;
Foley, Joseph T. ;
Bi, Zhuming .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (03) :870-890
[6]  
DAVIS S.M., 1989, STRATEGY LEADERSHIP, V17, P16
[7]   Manufacturing systems complexity: An assessment of manufacturing performance indicators unpredictability [J].
Efthymiou, Konstantinos ;
Pagoropoulos, Aris ;
Papakostas, Nikolaos ;
Mourtzis, Dimitris ;
Chryssolouris, George .
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2014, 7 (04) :324-334
[8]   Manufacturing systems configuration complexity [J].
ElMaraghy, HA ;
Kuzgunkaya, O ;
Urbanic, RJ .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2005, 54 (01) :445-450
[9]   Complexity in engineering design and manufacturing [J].
ElMaraghy, Waguih ;
ElMaraghy, Hoda ;
Tomiyama, Tetsuo ;
Monostori, Laszlo .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2012, 61 (02) :793-814
[10]   New product development for mass customization: a systematic review [J].
Fettermann, Diego de Castro ;
Soares Echeveste, Marcia Elisa .
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2014, 2 (01) :266-290