NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Smart Production Systems: Architecture and Application to multi-job manufacturing

Published

Author(s)

Pooya Alavian, Peter O. Denno, Semyon Meerkov

Abstract

Smart Production Systems (SPS) are manufacturing systems capable of self-diagnosing and providing the operation management with an advice concerning performance improvements, along with rigorously quantified outcomes of their potential deployment. This paper presents a version of SPS architecture and illustrates its application to a class of widely used flexible manufacturing systems referred to as Multi-Job Production.
Proceedings Title
11th Conference on Stochastic Models of Manufacturing and Service Operations
Conference Dates
June 4-9, 2017
Conference Location
Acaya, IT
Conference Title
11th Conference on Stochastic Models of Manufacturing and Service Operations (SMMSO 2017)
Pub Type
Conferences

Keywords

Smart production systems, Self-diagnostics, Multi-job production, Work-based model, Product-mix performance portrait
Manufacturing systems design and analysis

Citation

Alavian, P. , Denno, P. and Meerkov, S. (2017), Smart Production Systems: Architecture and Application to multi-job manufacturing, 11th Conference on Stochastic Models of Manufacturing and Service Operations, Acaya, IT (Accessed October 24, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created June 27, 2017, Updated October 12, 2021
Was this page helpful?