Improving the efficiency of facility management scheduling and equipment maintenance optimization activities through intelligent planning and scheduling optimization of tasks and employees.
Facility Management & Maintenance Service Providers Optimization
Facility Services Scheduling & Maintenance Optimization
Whether insourcing or outsourcing facilities management and maintenance work, organizations face more pressure than ever to reduce operating costs in the short term without sacrificing service quality or driving up replacement and restoration costs long term.
The shift to a data-driven approach to decision-making is among the most cost-effective ways to achieve massive efficiency gains while also achieving other corporate objectives – especially when the data is used for preventative and repetitive maintenance planning and maintenance optimization, workforce planning and scheduling and other facility services planning and scheduling.
For example, both planned and reactive service and maintenance plans can be built based on data signals that reflect expected work demand as well as employee and skillset availability. Operational plans and schedules are further improved by incorporating real-time signals from IoT devices and sensors (eg showing that the oven has been used 865 times since the last service or that the outside air temperature over the past week has averaged a high of 91/33 degrees F/C, which could accelerate the need for HVAC service).
DecisionBrain provides powerful decision support software solutions that guide planners in making the best planning and scheduling decisions on strategic, tactical, or operational time horizons.
Download our Complete Guide to Workforce Optimization where we talk about how to use advanced planning and scheduling techniques to keep employees and customers happy while operating efficiently and profitably.
Be assured that you’re making the best use of your precious equipment and workforce, even while managing through change and uncertainty.
Here are some ways that DecisionBrain is helping facilities managers:
Maintenance Planning Optimization
Intelligently plan service activities over the next year so that service frequency targets are met. Improve efficiency by grouping or bundling services based on proximity and skillset requirements. Use advanced machine learning combined with historical data to predict future reactive service demand. Smooth workload over time to minimize the need for contractors or overtime.
Strategic and tactical workforce planning and optimization
Intelligently decide which teams or employee types should do what work, when and where. Satisfy demand at the least cost while respecting a variety of constraints and preferences, such as distributing the work smoothly over the planning period.
Operational task assignment and scheduling of employees
Create optimal daily plans, schedules and routes based on the tactical plan combined with the latest activity history and sensor data. Re-plan in response to last-minute events, like high-priority repair tickets or employee absences. Efficiently interleave planned and reactive work, for example by opportunistically pulling forward upcoming planned work when it’s more cost-effective.
Demand Prediction using Machine Learning (ML)
Create demand forecasts based on ML models built off of historical performance data and any other correlated signals, such as weather, sales data, etc.
The Complete Guide to Industrial Maintenance Optimization
The DecisionBrain Difference
Trust DecisionBrain to help you build a decision support application to meet your unique planning and scheduling needs. DecisionBrain has over 400 person-years of experience delivering full end-to-end optimization-powered applications to a variety of industries, including several leading facilities management and equipment servicing firms.
By leveraging DB Gene, our low-code optimization development platform, we can usually deliver a tailored solution in 3 to 7 months with a return on investment in under a year. Our customers tell us this is a fraction of the time and cost quoted by packaged application vendors to tailor those applications to their needs.
DecisionBrain software uses advanced mathematical optimization technology to suggest plans and schedules that respect all of your objectives, preferences, and constraints or explain when it’s not possible. Planners can explore the tradeoff of different scenarios in terms of KPIs.
Read more about DB Gene or contact us for a free needs analysis and a rough estimate of the level of effort for your project.
The Complete Guide to Workforce Optimization
Customer Success Story: Integral & JLL
Integral UK Ltd is the leading Mechanical, Electrical, and Fabric property maintenance business in the UK, providing both Planned Preventative and Reactive Maintenance to over 1,600 clients in 60,000 locations. In 2016, Integral was acquired by JLL making it part of the larger JLL real estate management brand.
The challenge provided to DecisionBrain was how Integral could take its engineer field service distribution to higher productivity levels with optimization and dynamic scheduling tools. This video includes the solution and customer reviews of the tool.
Customer Success Story: Dynamic Maintenance Planning for a Global Leader in Distributed Assets Industry
A global leader in the Distributed Assets industry, sought to improve their maintenance planning process by moving away from frequency-based scheduling and adopting a more data-driven, outcome-based approach. They recognized that not all units in all locations experience the same rate of performance degradation or are used at the same frequency, and they wanted to ensure that their maintenance plans are optimized for each individual asset.
DecisionBrain implemented an optimization-powered maintenance system that dynamically adapts the plans to the real usage of each specific asset.
Dynamic Scheduler Demo Video
Dynamic Scheduler is a workforce solution designed to optimally schedule and dispatch jobs to mobile workers. Real-time optimization, leads to a significant reduction in travel and idle time.
Increase technician productivity by up to 25% by optimizing, scheduling, and dispatching.
