Predictive Technology

The Product and Technological Development (PTD) group in AIB Research brings to the milling, baking, or allied industries some services previous unavailable through AIB. These services can be summarized by the term -- Predictive Technologies.

Simply stated, Predictive Technologies are those measurement techniques that require the use of mathematical models (calibrations) to express the constituents or parameters of interest. For example, near infrared (NIR) technology is considered a predictive technique since calibrations must be installed in an instrument before it can be used to make measurements of moisture and protein in flour.

Initially, PTD will focus on industry needs for support of near-infrared (NIR) instrumentation, imaging, the single kernel characterization system (SKCS), and AIB’s ASE^TM. In the future, new technologies will be added to the programs available through AIB.

Industry needs for assistance with predictive technologies can be categorized as follows:

Applications: Providing the industry with the expertise required to successfully develop and implement new uses of technology for specific customer applications, including:

• Feasibility assessment for new applications
• Defining the analytical problem to be solved: design of the calibration experiment
• Assistance in acquiring of calibration data
• Developing and validating suitable calibration models

Education and Training: Programs are structured in two formats:

• Providing the industry with basic information about technology - how it works, why it works, advantages and disadvantages, strengths and weaknesses. In short, showing potential users how to use technology based on needs, requirements and available resources.
• Providing the industry with structured instructional programs on the proper use of the technology and specific instrumentation. These training programs can be generalized instruction for diverse groups or focused instruction customized for a company's specific needs. AIB training programs will enable users to make the most efficient use of predictive technologies.

For more information:
Telephone: 785-537-4750 or 800-633-5137
FAX: 785-537-1493
Email: rdempster@aibonline.org