Corporate Workplace Capacity Planning Optimization
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Solution Overview
Problem
Current corporate workplace capacity planning methods fail to optimize market selection for entity locations effectively, leading to inefficiencies in space allocation and cost management.
Innovation Solution
A method that involves receiving characteristics of entities, determining solution sets for space allocation in selected buildings based on these characteristics, and forecasting future needs, using tools like RAMBO (Research, Analysis, Markets, Building Optimization) to optimize market selection and minimize costs or capitalize on total values through Critical-to-Quality factor analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional corporate workplace capacity planning methods are used, then space allocation is simplified, but optimization of market selection for entity locations is ineffective
Solution Approach 1:
The planning system segments the entity characteristics into multiple distinct factors (industry type, employee count, growth rate, etc.) and processes each separately through weighted scoring, enabling precise market selection optimization without overwhelming complexity
Solution Approach 2:
The patent introduces an intermediary optimization system that acts as a mediator between traditional planning methods and market selection decisions, using standardized scoring models and weighting mechanisms to bridge the gap between simplicity and precision
2Manufacturing precision
If detailed characteristics analysis is performed for each entity, then space allocation accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-defining characteristic categories, weighting schemes, and scoring models before actual space allocation decisions, enabling rapid processing of detailed entity characteristics without increasing computational burden during execution
Solution Approach 2:
The patent transforms detailed qualitative characteristics into standardized quantitative parameters with assigned weights and scores, allowing accurate space allocation through mathematical computation rather than time-consuming qualitative analysis
3Duration of action of moving object
If forecast period is extended further into the future, then long-term planning capability is improved, but forecasting accuracy decreases
Solution Approach 1:
The system applies dynamic weighting to different time horizons, adjusting the influence of various characteristics based on the forecast period length, allowing accurate long-term planning by reducing the weight of volatile short-term factors in extended forecasts
Data Source
AI summary
Systems and methods for corporate workplace capacity planning and optimization are provided. A system according to the invention may include a computer. The computer may be configured to receive a plurality of characteristics relating to an entity or a portion of an entity. The computer may be further configured to receive a predetermined selection of buildings. The computer may also be configured to determine a plurality of solution sets. Each of the solution sets may express a subset of space located within the selected buildings for the location of the entity or the portion of the entity. The solution sets may be fixed for a predetermined amount of time into the future. The solutions sets can be based, at least in part, on the plurality of characteristics. The computer may also be configured to select a subset of the plurality of solution sets. Finally, a display device may be configured to display at least a portion of a single solution set.