Simulation models are run with well-prepared data. Novel approaches, combining different methods, are needed to use this data for making guided decisions. This ...
This paper proposes a methodology whereby parameters that most affect system performance are extracted from the data using data analytics methods.
Dec 10, 2015 · Modern manufacturing systems are installed with smart systems such as sensors that monitor performance and collect data in order to manage ...
This chapter describes a decision-making methodology that combines data mining and simulation. Data mining develops associations between system and performance ...
Modern manufacturing systems are installed with smart devices such as sensors that monitor system performance and collect data to manage uncertainties in ...
This paper proposes a methodology whereby parameters that most affect system performance are extracted from the data using data analytics methods, ...
Simulation models are run with well-prepared data. Novel approaches, combining different methods, are needed to use this data for making guided decisions. This ...
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Aug 29, 2016 · Simulation models are run with well-prepared data. Novel approaches, combining different methods, are needed to use this data for making guided ...
Simulation methods and analytics models are commonly used in manufacturing for decision support. In most manufacturing companies, outsourcing of parts from ...
Aug 14, 2024 · This article explores the role of big data analytics in enhancing manufacturing decision-making, highlighting its benefits, applications, and ...