Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing

•This study proposes a computational experiment-aided prescriptive decision-making framework.•The framework predicts multivariate emergences and exploits emergence diversity.•The proposed framework enables optimal prescriptions with improved solution stability.•A case study shows the framework can e...

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Veröffentlicht in:	Expert systems with applications Jg. 228; S. 120451
Hauptverfasser:	Long, Qingqi, Chen, Yingni, Wang, Yongheng, Xu, Le, Zhang, Shuzhu, Peng, Juanjuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.10.2023
Schlagworte:	Computational experiment Entropy-TOPSIS Evolutionary multi-objective algorithm Multivariate evolution Prescriptive decision-making Supply chain Supply chain Computational experiment Evolutionary multi-objective algorithm Entropy-TOPSIS Prescriptive decision-making Multivariate evolution
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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