A Hybrid Simulation-Based Assessment Framework Of Smart Manufacturing Systems

Keywords

agent-based systems; expert systems; Manufacturing systems

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.

Publication Date

2-1-2018

Publication Title

International Journal of Computer Integrated Manufacturing

Volume

31

Issue

2

Number of Pages

115-128

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/0951192X.2017.1407449

Socpus ID

85035104229 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85035104229

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