A two-stage stochastic programming model and parallel Master-Slave adaptive GA for flexible Seru system formation

High flexibility is an important feature of seru system that has received less attention. In this paper, we discuss how to do such flexible seru system formation, especially focusing on the strategic decision phase. We formulate the flexible seru system formation problem (FSFP) as a nonlinear progra...

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Veröffentlicht in:	International journal of production research Jg. 62; H. 4; S. 1144 - 1161
Hauptverfasser:	Ren, Yuhong, Tang, Jiafu, Yu, Yang, Li, Xiaolong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 16.02.2024 Taylor & Francis LLC
Schlagworte:	Adaptive algorithms Computing time Flexibility Genetic algorithms Gurobi solver Nonlinear programming Performance evaluation seru system formation; stochastic programming Seru system; flexibility Stochastic models Stochastic programming
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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