Abstract: A method of analyzing process steps and creating a data-driven process is disclosed. A data-driven process is a process that has its steps sequenced according to data relationships among the process steps, and the rule that a step is placed in the sequence only when all of its inputs exist. A data-driven process can only be created when all steps may be placed in the sequence according to this rule. The method determines if a process is data-driven by checking to see if any of the individual steps causes one or more errors which would prevent data-driven sequencing, and, if any errors are found, error correction is attempted in order to create a data-driven process.

Abstract: A basically commercially fast heat highly efficient griddle has interchangeable griddle plates including magnetically permeable materials having Curie temperatures which may be the same or different to provide different cooking temperatures, the plates being heated by induction coils providing sufficient energy to heat the plates to their effective Curie temperatures in the presence of loads and of a design to maintain a uniform cooking temperature across the griddle plate to within less than an inch of the edges of the plates. The plates may be placed in an enhanced idle condition at cooking temperature by placing a cover over the plates or region of a plate not in use. Increased efficiency is further due to an insulator blanket placed between the griddle plates and coils.