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Digital twin based decision framework for jobshop layout production systems under disruptions
Vijayan, Vishakh
Vijayan, Vishakh
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2019-12
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Abstract
In a hybrid layout production system under uncertainties, making strategic decisions
becomes crucial and demanding with increase in complexity of the system. Advent of Industry
4.0 led to development of technologies such as smart factories, simulation, cloud, cyber physical
systems which uses 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 digital twin model. A simulation model acts as the digital twin of
the physical system which helps to proactively visualize and analyze several key performance
parameters of the system and make informed decisions. Objective of this paper is to analyze the
performance of two rescheduling methods - Buffer based and Non-buffer based system, subjected
to random disruptions. The digital twin is used for simulation of multiple disruption scenarios of
the system which uses the two rescheduling methods and performance comparison of the two
methods for making strategic decisions based on requirements of increasing profit, and throughput
and reducing makespan.
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Thesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Industrial, Systems, and Manufacturing Engineering
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Wichita State University
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Copyright 2019 by Vishakh Vijayan
All Rights Reserved