A robust fuzzy stochastic programming for sustainable procurement and logistics under hybrid uncertainty using big data

Today, in many organizations, the debate about the difference in core capabilities has become an important factor for market competition. Companies, based on the field of activity, decide to strengthen some of their capabilities, capacities, and expertise. Therefore, the focus of an organization on...

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Vydáno v:	Journal of cleaner production Ročník 258; s. 120640
Hlavní autoři:	Gholizadeh, Hadi, Fazlollahtabar, Hamed, Khalilzadeh, Mohammad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 10.06.2020
Témata:	Big data carbon carbon footprint decision making fraud Hybrid uncertainty hybrids logistics market competition markets model validation risk Robust fuzzy stochastic programming stochastic processes supply chain Sustainable procurement transportation uncertainty ε-Constraint Hybrid uncertainty logistics Big data ε-Constraint Robust fuzzy stochastic programming Sustainable procurement
ISSN:	0959-6526, 1879-1786
On-line přístup:	Získat plný text
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