Performance Challenges Identification Method for Smart Manufacturing Systems

Published

November 27, 2015

Author(s)

Kiwook Jung, Katherine C. Morris, Kevin W. Lyons, Swee K. Leong, Hyunbo Cho

Abstract

Smart Manufacturing Systems (SMS) need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of SMS. This paper proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard modeling techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and harmonized to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal. By replicating the proposed method for other strategic goals and with multiple scenarios, a comprehensive set of performance challenges can be identified.

Citation

NIST Interagency/Internal Report (NISTIR) - 8108

Report Number

8108

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.8108

Keywords

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

Citation

Jung, K. , Morris, K. , Lyons, K. , Leong, S. and Cho, H. (2015), Performance Challenges Identification Method for Smart Manufacturing Systems, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8108 (Accessed October 13, 2024)