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Multi-criteria evaluation of real-time key performance indicators of supply chain with consideration of big data architecture
ارزیابی چند معیاره از شاخص های عملکرد کلیدی در زمان واقعی زنجیره تامین با توجه به معماری داده های بزرگ-2018 One of the major issues a designer of Big Data Architecture has to trade with is incorporating real-time predictive
analytics capability using offline synergistic approaches like simulation, fuzzy analytic network process, and
Technique for Order Preference. Further, under this setting, which involves re-engineering of operational units,
the present study proposes a simple, yet practical heuristic to quickly handle the unstructured relational key
performance-indicators (KPIs) data of a supply chain that are obtained from the results of the simulation. Within
the big data framework, the proposed model can be used as a decision support tool by the companies to evaluate
their KPIs in a real-time dynamic system.
Keywords: Big data ، Real-time mechanism ، Key performance indicators ، Fuzzy-ANP ، Discrete event simulation ، Supply chain management |
مقاله انگلیسی |