An Analysis of Alternative Approaches to Measuring Multinational Interoperability
Early Development of the Army Interoperability Measurement System (AIMS)
ResearchPublished Sep 22, 2021
Researchers conducted an analysis of alternatives of interoperability measurement systems to support the U.S. Army in achieving interoperability with partners. Researchers identified a new approach, the Army Interoperability Measurement System, which includes a quantitative instrument for measuring interoperability levels and a qualitative component to enable capability gap analysis, among other features.
Early Development of the Army Interoperability Measurement System (AIMS)
ResearchPublished Sep 22, 2021
The National Defense Strategy (NDS) emphasizes the need for U.S. forces to be interoperable with capable allies and partners. To support the NDS, the U.S. Army develops and executes doctrine and guidelines for how its units can achieve interoperability with partners. The Army identified a need to develop an overarching concept for interoperability that includes explicit links between current Army multinational interoperability doctrine and mission command doctrine. Concurrently, it wanted an enduring and standardized way to measure levels of interoperability achieved as a result of major training events. To that end, the Army asked RAND Arroyo Center to conduct an analysis of alternatives (AoA) of interoperability measurement systems.
Researchers looked at eight different approaches, gathering and analyzing data from a review of materials provided by representatives for each approach and information from multiple rounds of interviews with representatives. No single approach addressed all dimensions identified as important for a future system, so a completely new approach was proposed, drawing on strengths and eliminating weaknesses from other approaches analyzed. The Army decided to develop a new system — the Army Interoperability Measurement System (AIMS), which includes a quantitative instrument for measuring interoperability levels, a qualitative component to enable capability gap analysis, an automated approach to connect and analyze the data, and exploitation panels that convene immediately following a training exercise.
The authors document their AoA, present the supporting evidence for their measurement system recommendations, and details the early development of AIMS.
The research described in this report was sponsored by the Office of the Deputy Chief of Staff, G-3/5/7, U.S. Army and conducted by the Personnel, Training, and Health Program within the RAND Arroyo Center.
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