Today, organizations are under more pressure to optimize and modernize their real estate portfolios in order to improve operational efficiency, reduce costs, provide growth flexibility, and draw top-tier talent. Yet coming up with “optimal” restack options can be an arduous process, often taking space planners weeks of analysis to identify and test even a dozen or so options.
Part of the challenge is that a restack can often produce a staggering volume of possible scenarios. Case in point – a reorganization assignment for 25 groups of people in 30 seating zones would take a computer program an estimated 3 trillion years to process all possible options, test those solutions, and evaluate and rank the results. It is simply not a workable problem for a computer to solve, let alone an individual or team of space planners, which is still the common practice today.
Rifiniti is taking a new approach by using sophisticated mathematical techniques to solve for optimal restack solutions in a matter of hours, rather than weeks, months or years. Rifiniti’s workplace analytics software works towards a constrained optimization solution by leveraging existing data sets that are consistent with priorities of the project. Those data sets are divided into five different categories that include:
- Actual building plans with criteria such as location, space type and space size;
- Demographic data of employees compiled from badge ID, desk assignment and department;
- Location data that identifies space utilization, mobility and attendance among other factors;
- Calendar data, including details on meeting frequency, size and attendance; and
- Business intelligence projections that account for future head counts, deadlines and costs.
Rifiniti’s approach also makes a point to input both goals and constraints to optimize the restack solution. Practical goals might include issues such as minimizing square footage per person or minimizing distance travelled for meetings. On the other side of the coin, Rifiniti’s formulas also recognize real-world constraints, such as space capacity due to building code and fire safety requirements, or departments that require specific adjacencies.
Essentially, Rifiniti transforms those goals and constraints into components used in the mathematical equation. For example, a company can put a specific number on distance travelled to meetings to help maximize adjacency and also assign relative importance of that and other goals by providing a weighted percentage. The Rifiniti approach provides a blended score that factors in space optimization, business alignment and innovation, and well-being to rank top solutions.
Organizations recognize that the nature and complexity of work is changing. Traditional KPIs are transitioning to a greater focus on people and productivity, rather than just cost. These new business models require a new way of thinking about space plans along with new approaches to solve to the challenges that come along with optimizing and modernizing the workplace. Learn more about restacking analysis.