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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Vydané v:	Expert systems with applications Ročník 228; s. 120451
Hlavní autori:	Long, Qingqi, Chen, Yingni, Wang, Yongheng, Xu, Le, Zhang, Shuzhu, Peng, Juanjuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.10.2023
Predmet:	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
On-line prístup:	Získať plný text
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