Simulation-based decision framework for hybrid layout production systems under disruptions
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Abstract
In a hybrid layout production system under uncertainties, making strategic decisions becomes crucial and demanding, with an increase in the complexity of the system. The advent of Industry 4.0 leads to the development of technologies such as smart factories, simulation, cloud, cyber-physical systems that use digital twins for making informed strategic decisions in a factory. This paper proposes a decision-making framework for a multi-product hybrid layout production system under stochastic disruptions using a simulation model. The simulation model will act as a digital twin of the physical system, which helps to proactively visualize and analyze several key performance parameters of the system and make informed decisions. The objective of this paper is to identify the best sequence from predefined sequences for jobs, which maximize profit, throughput, and minimize cost, and make-span. Several experimentation cases are developed to analyze the performance of the system under different scenarios of disruptions and make strategic decisions such as investing in new machines, prioritizing products, and rescheduling of products.