Abstract: An integrated supply chain management with anomaly detection. An order schedule has one or more orders, each of which has a production requirement and a due date. An asset schedule has asset commitments associating assets with orders. Each asset has equipment specifications, including an asset class and one or more operational thresholds. The computer system identifies an asset of a class corresponding to a production requirement of an order and modifies the asset schedule to commit the asset to the order prior to the due date of the order. The computer system receives sensor input for the asset and determines whether an anomaly exists. If so, the computer system commits a second asset to the order.

Abstract: A computer manages methods for calculating key performance indicators by receiving, a plurality of key performance indicators for an activity measure, wherein each key performance indicator is associated with a key performance indicator method. Determining, a corresponding confidence level for each of the plurality of key performance indicators. Identifying, an ideal key performance indicator based on the confidence level for each of the plurality of key performance indicators. Receiving a request, from an application, for information pertaining to the activity measure, wherein the request includes one or more application parameters related to the requested information.

Abstract: A computer manages methods for calculating key performance indicators by receiving, a plurality of key performance indicators for an activity measure, wherein each key performance indicator is associated with a key performance indicator method. Determining, a corresponding confidence level for each of the plurality of key performance indicators. Identifying, an ideal key performance indicator based on the confidence level for each of the plurality of key performance indicators. Receiving a request, from an application, for information pertaining to the activity measure, wherein the request includes one or more application parameters related to the requested information.

Abstract: An integrated supply chain management with anomaly detection. An order schedule has one or more orders, each of which has a production requirement and a due date. An asset schedule has asset commitments associating assets with orders. Each asset has equipment specifications, including an asset class and one or more operational thresholds. The computer system identifies an asset of a class corresponding to a production requirement of an order and modifies the asset schedule to commit the asset to the order prior to the due date of the order. The computer system receives sensor input for the asset and determines whether an anomaly exists. If so, the computer system commits a second asset to the order.

Abstract: An integrated supply chain management with anomaly detection. An order schedule has one or more orders, each of which has a production requirement and a due date. An asset schedule has asset commitments associating assets with orders. Each asset has equipment specifications, including an asset class and one or more operational thresholds. The computer system identifies an asset of a class corresponding to a production requirement of an order and modifies the asset schedule to commit the asset to the order prior to the due date of the order. The computer system receives sensor input for the asset and determines whether an anomaly exists. If so, the computer system commits a second asset to the order.