Manufacturing re-shoring represents a huge opportunity for U.S. small and medium manufacturing enterprises (SMEs). To seize this opportunity, however, SMEs must be able to operate in advanced production networks. That means, following their discovery and qualification, the SMEs need to be able to receive and use digital manufacturing data, and effectively respond to the requests to make the parts. Standards for representing and communicating manufacturing service capabilities, including material processing and manufacturing information processing capabilities do not exist. This project will develop measurement science necessary to build reference models, methods, and tools to support manufacturing service capabilities standard development.
Objective: To increase productivity of U.S. small manufacturers by enabling digital communication of manufacturing information for production and data processing through development of reference models and systematic, verifiable modeling methodology that enable new standards for manufacturing supply chain integration, by 2014.
What is the new technical idea? Manufacturing insourcing is on the rise,. The Boston Consulting Group estimates that by 2020 as much as 30% of the products the US imports from China ($55B/year) could be manufactured here. In addition, the U.S. small and medium enterprises’ capacities are underutilized by 15% to 36% on average. This represents a huge opportunity for the U.S. Small and Medium Manufacturing Enterprises (SMEs).
To prepare for this potential increase in insourcing, SMEs must be able to (1) receive and use digital data models, and (2) respond to requests associated with making parts using those models. Yet, there are no reliable and affordable means to assure correct use of such data. Methods and tools are lacking to describe precisely the required manufacturing service capabilities, including the material processing and manufacturing information processing capabilities.
To remove this barrier, this project will do the underlying measurement science research needed to develop expressive, shared models, most likely based on the Web Ontology Language (OWL), for describing manufacturing service capabilities. It will also develop a new methodology and tools so that SMEs can convert more easily to those models.
A key challenge is that models and terminologies of manufacturing service capabilities vary and change over time across manufacturing organizations. Traditional approaches using monolithic, static, text-based models are likely to fail. There is a gap in measurement science to model manufacturing service capabilities for today’s dynamic and distributed environments.
The technical idea is to advance a recently developed technique called representation patterns, to develop modeling approaches that enable precise, flexible, and open models of manufacturing service capabilities. NIST will develop manufacturing service capability modeling patterns that will have verifiably correct behavior.
What is the research plan? Our plan has two tasks: develop representation patterns for reference models of manufacturing service capabilities, and develop a process and tools to create manufacturing service capability data models based on these patterns. The first task analyzes requirements for and synthesizes a new approach to modeling manufacturing service capabilities. The second analyzes the new approach by developing tools and methods in support of the approach and experimentally analyzes their performance.
 Federal Reserve report on “Industrial Production and Capacity Utilization.
 OWL (Web Ontology Language) is based on a logical formalism and, therefore, is much more powerful than HTML or XML.
 A representation pattern (also known as design pattern, knowledge pattern, ontology design pattern, etc) is used here to reference an archetypical solution to information modeling design problem given a certain context.
 In FY12, the project established a team of industry stakeholders that recommended investigating possibility of bridging the gap between product and process information. Throughout the FY13 thrust tasks, the project will explore possibility of including both product and process information within the patterns for modeling manufacturing service capabilities.
Standards and Codes:
NIST has initiated a new working group at the Open Applications Group (OAG), a US-based SDO. This working group will develop standard for manufacturing service capability information to enable digital communication of manufacturing information for production and data processing. Expected outcomes are draft standard requirement document for manufacturing service capability information, draft standard meta-model of manufacturing service capability information, draft standard for ontological representation patterns of manufacturing service capability information, and draft standard model for manufacturing service capability information.
Start Date:October 1, 2011
Lead Organizational Unit:el
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