A hybrid simulation-based assessment framework of smart manufacturing systems
Authored by Khalid Nagadi, Luis Rabelo, Mohammed Basingab, Alfonso T Sarmiento, Albert Jones, Ahmad Rahal
Date Published: 2018
DOI: 10.1080/0951192x.2017.1407449
Sponsors:
No sponsors listed
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
US manufacturers' capabilities have consistently been degrading over the
past few decades with no end in sight. To ebb this tide and assist the
decision-makers in designing better configurations and system
capabilities, this paper proposes the use of smart manufacturing systems
(SMS) to develop a framework that generates and evaluates
pre-implementation near optimal manufacturing configurations and provide
guidance to establishing appropriate information messaging protocols
between system components using hybrid simulation modelling. The
framework calls for the implementation of computer-based tools including
an expert system to identify the required machines and their
corresponding characteristics, a business process modelling and notation
tool to capture the process plan in an object-oriented fashion and an
agent unified modelling language tool to guide the application of
message sequence diagram and state charts, in addition, a hybrid
simulation tool to assist in determining the correct configuration, an
agent-based modelling tool to capture the behaviour of the required
machines and a discrete event simulation tool to mimic the process
flow.The application of the proposed framework to a manufacturing case
study shows positive outcomes to support upper management in the
planning phase of establishing a SMS or evaluating an existing one.
Tags
Performance
Innovation
Genetic algorithm
selection
Agent-based systems
Internet
manufacturing systems
Expert Systems
Decision-support-system
Optimal-design
Machine-loading problem
Integrated approach
Fms