Objective: Deploy new standards and reference data supporting agri-food manufacturing systems to enable industry to more efficiently and cost effectively produce food-based products of higher quality and with improved food safety.
Technical Idea: Today, food producers face many challenges include adapting to uncertainty about input materials; adapting product recipes for different production environments; and measuring, tracking and tracing product information. Fortunately, many recent advances in information technology may provide a means to address these challenges, including: advanced sensors technology; the Internet of Things (IoT); cloud computing; ubiquitous geographic information system (GIS) technology and; powerful new platforms for integration and analytics. Vendors are providing solutions for the agri-food manufacturing domain that exploit these opportunities for targeted purposes. However, many of the challenges in food production require sharing and merging data across supply chains. Currently it is difficult to share and merge data across the food supply chain due to lack of common practices, standards, platforms and even common IT readiness levels among supply participants. This project will perform studies to identify these problems and opportunities for high impact improvements, use a systematic Model-Based Interoperability Improvement approach to create standards to fill key standards gaps, and investigate platforms and IT readiness assessment methods to accelerate deployment across agri-food domain stakeholders who must collaborate electronically to address challenges in this space.
Research Plan: The research supporting the technical idea will begin with a study of the state of traceability in food supply chains to be conducted with an academic partner who has expertise in this area. This study will result in a report identifying the needs of the food industry for traceability which will be used, along with input from industrial partners, to guide the standards and technical work for the project. The study will be followed by parallel efforts to: 1) develop standards to fill gaps identified by industry and academic partners, and 2) organize and conduct a series of workshops to engage industry, to refine the results of the survey, and to continue to identify needs for standards and technology developments as gaps are filled and market conditions change. The project will produce publications reporting on these efforts that motivate and explain the capabilities added through standards and technologies developed and investigated.
The project will employ an approach that NIST staff on this project have adopted that we call Model-Based Interoperability Improvement (MBII). This is a methodology with the following elements:
- Elicit use case descriptions of the salient details of important supply or production chain processes in the agri-manufacturing domain
- Model those use cases as process models to provide visualizations of the activities involved
- Compare contrast the process models from different stakeholders/processes to determine common areas of interest and common interoperability problems such as, lack of standard solutions, incompatible data definitions, and missing/inefficient mechanisms for information exchange.
- Through interaction/liaisons with different consortia and standardization organizations that service the domain, establish/provide research input to/participate in efforts to create/extend/revise standards that address the identified interoperability issues, methods for readiness assessment, and content formats for information exchange.
- Produce reports that evaluate/assess the effectiveness of existing/revised/new standards that address interoperability issues in the agri-manufacturing domain