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Search Publications by

Evan K. Wallace (Fed)

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Displaying 1 - 25 of 30

Towards a Reference Ontology for Supply Chain Management

February 9, 2021
Evan K. Wallace
This paper summarizes the results from recent activities of the IOF Supply Chain Working Group (SC WG). The objectives of the IOF SC WG are to identify requirements, notions and terms from the supply chain domain, develop a domain-specific reference


November 3, 2020
Evan K. Wallace, Farhad Ameri, Reid Yoder
Traceability of food products to their sources is critical for quick responses to a food emergency. US law now requires stakeholders in the agri-food supply chain to support traceabil-ity by tracking food materials they acquire and sell. However, having

Implementing Grain Traceability Standards: CART and Simulation

February 18, 2020
Frank H. Riddick, Evan K. Wallace, Scott Nieman, Joe Tevis, R. A. Ferreyra
To ensure food safety, food manufacturers need the ability to quickly identify and trace food products to all equipment and processes throughout the entire associated food supply, production, and transportation network. Government and industry have

2018 NIST/OAGi Workshop: Enabling Composable Service-Oriented Manufacturing Systems

April 22, 2019
Nenad Ivezic, Boonserm Kulvatunyou, Michael P. Brundage, Yan Lu, Evan K. Wallace, Albert W. Jones
This report summarizes the results from the 2018 NIST/OAGi Workshop: Enabling Composable Service-Oriented Manufacturing Systems, which was held at the National Institute of Standards and Technology campus in Gaithersburg, MD, on April 23-24, 2018. This was

The Industrial Ontologies Foundry Proof-of-Concept Project

August 26, 2018
Boonserm Kulvatunyou, Evan K. Wallace, Dimitris Kiritsis, Barry Smith, Chris Will
The current industrial revolution is said to be driven by the digitization of manu-facturing that exploits connected information across all aspects of manufacturing. Standards have been recognized as an important enabler. Ontology is the next generation

Reference Architecture for Smart Manufacturing Part 1: Functional Models

September 29, 2016
Edward J. Barkmeyer Jr., Evan K. Wallace
This document is a part of the definition of a reference architecture for the integration of manufacturing software applications in the areas of fabrication and assembly of discrete electro- mechanical parts. This document captures, at a high level of

Mitigating Ingredient Variability Risks with Smart Manufacturing

February 18, 2016
Frank H. Riddick, Evan K. Wallace, Jim Davis
Managing the design of products and the efficient execution of the manufacturing processes needed to produce them is an endeavor fraught with all manner of risks for manufacturing enterprises large and small. In certain industries, such as the food

Toward Manufacturing System Composability Analysis: A Use Case Scenario

September 20, 2014
Boonserm Kulvatunyou, Evan K. Wallace, Nenad Ivezic, Yunsu Lee
One of the characteristics of a smart manufacturing system is the ability to quickly adapt to new and changing requirements. This implies that software and hardware components of the manufacturing system need to be easily composed and recomposed. In

NIST Workshop on Ontology Evaluation (NISTIR 7774)

April 1, 2011
Ram D. Sriram, Conrad E. Bock, Fabian M. Neuhaus, Evan K. Wallace, Mary C. Brady, Mark Musen, Joanne Luciano
The National Institute for Standards and Technology sponsored a workshop in October, 2007, on the subject of ontology evaluation. An international group of invited experts met for two days to discuss problems in measuring ontology quality. The workshop

A Model-Driven Approach for Building OWL DL and OWL Full Ontologies

October 1, 2006
S Brockmans, R Colomb, P Haase, E Kendall, Evan K. Wallace, G Xie
This paper presents an approach for visually modeling OWL DL and OWL Full ontologies based on the well-established visual modeling language UML. We discuss a metamodel for OWL based on the Meta-Object Facility, an associated UML profile as visual syntax

The AMIS Approach to Systems Integration: An Overview

May 1, 2004
Donald E. Libes, Edward J. Barkmeyer Jr., Peter O. Denno, David Flater, Michelle P. Steves, Evan K. Wallace, Allison Barnard Feeney
This paper is an overview of the AMIS (Automated Methods for Integrating Systems) project approach to systems integration. The objective of the AMIS project is to reduce the cost and time for software integration by devising methods, algorithms, and tools

The Challenges of Automated Methods for Integrating Systems

January 1, 2004
Donald E. Libes, David Flater, Evan K. Wallace, Michelle P. Steves, Allison Barnard Feeney, Edward J. Barkmeyer Jr.
Automated methods for integrating systems (AMIS) have been presented as a new approach to solving the dilemmas of multiple and uncoordinated standards, ontologies, legacy systems and the ever-growing cost of traditional integration. This paper explores the

Concepts for Automating Systems Integration

February 1, 2003
Edward J. Barkmeyer Jr., Allison Barnard Feeney, Peter O. Denno, David W. Flater, Donald E. Libes, Michelle P. Steves, Evan K. Wallace
The problem of software systems integration getting independently developed software components to communicate in order to support a business application has been altered by the introduction of new software technologies, but by no means eliminated. NIST

Report of the NIST MEL Architecture Task Force

December 29, 2000
Harry A. Scott, John Evans, Steven R. Ray, E C. Teague, James S. Albus, Herbert T. Bandy, Edward J. Barkmeyer Jr., Neil Christopher, M A. Donmez, Hui-Min Huang, Albert W. Jones, Elena R. Messina, Jim G. Nell, Frederick M. Proctor, Evan K. Wallace
The NIST Manufacturing Engineering Laboratory undertook a series of internal working meetings to examine all of its architecture efforts. A survey of work was performed, and recommendations were identified. This document, initially compiled in 1999

Monitoring and Controlling Operations

July 1, 2000
Albert T. Jones, Evan K. Wallace, Yuehwern Yih
This work is a chapter in a forthcoming Handbook of Industrial Engineering. The chapter contains five sections. In addition to a short introduction and a shorter summary, this paper has three technical sections. The first section talks about control

NIST Response to MES Request for Information

September 1, 1999
Edward J. Barkmeyer Jr., Peter O. Denno, Shaw C. Feng, Evan K. Wallace, Albert T. Jones
This is a response from the National Institute of Standards (NIST) to OMG's Request for Information concerning the Manufacturing Execution System (MES) area [RFI3]. There has been quite a bit of previous work at NIST, related to this RFI which influenced

State Models for Jobs and Job Supervisors

June 1, 1997
David Flater, Edward J. Barkmeyer Jr., Evan K. Wallace
Intelligent control of discrete parts manufacturing jobs and machinery requires state models for the jobs and the controllers. Different approaches to control have yielded different state models. While a dominant model is yet to emerge, the advantages and