1. a computer-implemented method for pervasive model adaptation, comprising: providing a production plan to a production system; executing the production plan in the production system; collecting observation data produced by at least one sensor in the production system during execution of the production plan into a computer memory; calculating changes to be made to a system model in the computer memory based on the collected observation data; dynamically updating the system model according to the calculated changes; creating an updated production plan based at least partially on the dynamically updated system model; and storing the updated production plan within the computer memory; wherein the system model is a representation of what is believed to be true about the production system.