Capacity planning

As part of its preparation for the upcoming severe weather season, a power distribution company runs a series of emergency response simulations to determine the most effective strategy for maintaining service continuity. The system empowers planners by using an optimized coverage algorithm to evaluate each scenario and recommend the best approach based on task requirements and available resources. This enables the utility to identify the most efficient coverage plan, ensuring faster, more effective response during critical events.

During the summer season, power distribution companies must be ready to face up two major challenges: increased demand due to peak loads and transformer maintenance. By analyzing historical work order patterns (such as failures occurred during past heatwaves) alongside current operational data, and simulated future scenarios, the system leverages an optimized coverage algorithm to accurately predict where and when field crews will be needed the most. This algorithm factors in task types, job priorities, and crew skill sets to ensure efficient and proactive resource allocation.

Operations managers can review historical activity data from previous years, such as routine maintenance schedules. This data helps identify recurring resource and task demands, providing a solid foundation for the planning process. For instance, trend analysis helps managers to predict periods when certain tasks will require the greatest effort in terms of manpower. Additionally, the system considers the specific skills required for each type of task and its categorization (e.g., maintenance, repairs, inspections).

Operations managers can create “what-if” simulations for potential expansion projects, unforeseen events, or emergency scenarios, such as a major storm or sudden equipment failure. These simulations help estimate workloads and prove strategic in testing the flexibility of resource allocation, preparing the company for unexpected peaks in demand. Let’s assume, for example, that a major storm is approaching: the tool is capable of simulating the need for additional repair crews, thus allowing managers to adjust their workforce plans in advance.

The system will clearly display visual alerts whenever capacity falls below planned demand, enabling managers to quickly identify areas at risk. This proactive approach translates into timely decisions to optimize resources, plan capacity increases, or explore alternative solutions.

Managers can assign higher weights to tasks that are critical at a given time of the year, ensuring they are prioritized at the exact right moment. Conversely, less time-sensitive tasks are given lower weights and are scheduled in periods of reduced demand.