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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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Using formal methods to scope performance challenges for Smart Manufacturing Systems: focus on agility.

Kiwook Jung¹, K C Morris², Kevin W Lyons²

¹Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA; Department of Industrial and Management Engineering, Pohang University of Science & Technology, Pohang 790-784, Republic of Korea.

Concurrent Engineering, Research, and Applications

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Summary

This summary is machine-generated.

Smart Manufacturing Systems require precise data for agile decision-making. This study presents a method to link strategic goals with operational performance, enhancing adaptability in manufacturing operations.

Keywords:

SCOR Model SIMA Reference Model Smart Manufacturing System formal method ontology performance challenges

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Area of Science:

Industrial Engineering
Operations Management
Systems Engineering

Background:

Smart Manufacturing Systems (SMS) face challenges in aligning strategic goals with operational performance due to system complexity.
Agility is crucial for SMS to adapt to dynamic environments and make intelligent decisions.

Purpose of the Study:

To propose a method for identifying key aspects of manufacturing systems that need adjustment to meet changing strategic goals.
To enhance the adaptability and intelligent decision-making capabilities of Smart Manufacturing Systems.

Main Methods:

Utilizing standard modeling techniques to define manufacturing systems and the links between strategic objectives and performance metrics.
Formally representing and harmonizing two existing reference models for manufacturing operations.
Illustrating the method with a scenario focused on agility as a strategic goal.

Main Results:

A structured approach is presented for analyzing the relationship between strategic goals and operational performance in SMS.
The method effectively identifies critical areas within a manufacturing system for adaptation.
Demonstrated the application of the method using agility as a specific strategic goal.

Conclusions:

The proposed method provides a systematic way to address the complexity hindering SMS realization.
It enables manufacturers to proactively identify and manage performance challenges related to strategic shifts.
Further application across diverse strategic goals and scenarios can build a comprehensive understanding of SMS performance.