diff --git a/models/Application_examples/Agile_Production_Platform_Customer_Interactions.mp b/models/Application_examples/Agile_Production_Platform_Customer_Interactions.mp
index 002efedca906e7ef4471e1cafd888ed6b3dd0fb2..9a9c56f80ac66ab0ed40af876d536356bd8311e6 100644
--- a/models/Application_examples/Agile_Production_Platform_Customer_Interactions.mp
+++ b/models/Application_examples/Agile_Production_Platform_Customer_Interactions.mp
@@ -9,7 +9,33 @@ Edited by Pamela Dyer in September, 2021.
 
 Purpose: 
 
-Description: 
+"Agile Production 
+Platform" (APP)
+
+Description: This model demonstrates using MP to find both 
+desired and undesired scenarios of Personal Protective 
+Equipment (PPE) supply chains within the APP. The APP 
+represents the linkage platform being designed to enable 
+agile production / building of alternative supply chains.
+
+Specifically in this model, the focus is on the delivered 
+quality of 5,000 medical face shields (a Customer placed 
+the order using the APP). Running this model at Scope 1 
+generates 4 event traces, described as follows:
+	Trace 1: The order is delivered to the Customer and 
+		meets their expectations (Favorable Outcome).
+	Trace 2: The order is delivered to the Customer and 
+		does not meet their expectations (Unfavorable 
+		Outcome, as well as Unexpected Emergent Behavior 
+		that manifested as a counterfeit part which made 
+		its way into the APP supply chain).
+	Trace 3: The order is not delivered to the Customer 
+		(Unfavorable Outcome, as well as Expected 
+		Emergent Behavior).
+	Trace 4: The Customer is notified by the APP that the 
+		order cannot be completed at this time because 
+		no alternative supply chain can be found 
+		(Unfavorable Outcome).
 
 References:
 Beaver, Joshua. "Analyzing Emergent Behavior of Supply