Abstract: Resource-constrained, multi-period scheduling model for asset investment planning. In an embodiment, asset-related tasks for physical equipment are received, along with a time window. Each of the asset-related tasks is associated with parameter values for each time period within the time window. A resource-constrained project scheduling model is executed to identify an optimal portfolio of the asset-related tasks that satisfies a set of constraints, according to an objective, based on the parameter values for the asset-related tasks. In the optimal portfolio, each asset-related task is assigned to a time span comprising one or more time periods in the time window. The optimal portfolio may then be used to schedule the asset-related tasks in the optimal portfolio, in order to facilitate repair, maintenance, and capital tasks, for example, by automatically dispatching work orders or resources, automatically configuring a state of the physical equipment, informing an asset management system, and/or the like.

Abstract: A method and apparatus features a system for automatically monitoring the operating environment and other physical conditions around and in which a host computer system operates. Sensors located around a computer system, including inside equipment cabinets and under the floor where cabling and air are ducted, are used to collect data that is frequently and periodically collected and stored along with an indication of the time and data of collection. The stored data is checked against a list of environmental parameters for the location of each sensor and an indication given when measurements indicate an environmental condition is outside discrete limits and rates of change of conditions. The stored parameters may be changed at any time from a console of the computer system.