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Complex Requirements Planning Software for New Hospital Project

  • Published on December 11, 2020
The Ministry of Health process to create a new hospital in Ontario, Canada is onerous and can take several years. Thought leaders in the domain have mapped out the complete process in detail including roles and responsibilities for the multitude of deliverables. This project seeks to create a digital roadmapping tool supporting the complex task and human dependencies to greatly improve clarity, coordination, and efficiency.
The infrastructure capital planning tool has the following objectives: (1) to develop a scalable roadmapping tool that can be used for highly complex long term planning, (2) to develop sustainability certification system templates that can be added to roadmaps as layers, and (3) to automate the metrics and analytics as much as possible to support AI-driven optimization to maximize decarbonization. Scalable Roadmapping Tool Roadmapping tools must communicate what needs to be accomplished and why these goals are important to the success of the project. While some tools exist, they are typically designed for smaller projects and therefore include scheduling functionality. For large scale projects, complex project and people dependencies should be mapped out to support high level process management. Thousands of deliverables must be cross linked with hundreds of consultants and contractors, specifying clear roles and responsibilities. Below that, linking to high level milestones and lower level schedules is needed to track progress. Sustainability Certification System Templates By supporting the management of complex infrastructure projects, sustainability can surfaced as a high-level priority. Roadmap layers can be added that present the task and deliverables needed to plan, execute, and operate standardized sustainability initiatives through accredited certification systems. For example, a roadmap template for the BREEAM or LEED process can be developed for efficient buildings. At the infrastructure level, standards such as the ASCE EnVision program can be roadmapped. For the operational aspects of these standards, automation can be applied to support reporting requirements and to ensure ongoing compliance. Goal-driven Optimization for Decarbonization Given the automation of sustainability certification system analysis of a project, optimization methods can be applied to search for interventions to improve sustainability metrics on an ongoing basis, automatically. In this way, continuous improvement can be supported digitally for very large complex projects at campus, city, and regional scales. Several impactful outcomes are expected from this initiative: (1) significant gains in efficiency in overall project management , (2) prioritization of a goal-driven process, including sustainability goals visible at the highest level, and (3) significant project performance improvements from the application of AI-driven optimization. Project Management Efficiency By modeling and visualizing complex projects, through the roadmapping process, current priorities can be communicated with clarity and the impact of current activities on downstream deliverables can be seen. This takes an otherwise black-box approach and provides transparency to all stakeholders. We expect these capabilities will significantly impact greater overall efficiency and effectiveness potentially saving months or even years off of large infrastructure projects. Prioritization of Sustainability Goals Sustainability goals are typically not front and center on large projects, given the myriad of other critical concerns. However, in a digital environment, all goals can be surfaced and weighted, including sustainability voluntary and mandatory standards and plans. By encoding these standards as roadmap layers, we expect these goal sets to have equal weighting with other project goals. Decarbonization Automation To achieve sustainability at a planetary scale, automation must be a central aspect of any solution. For large infrastructure projects, as well as other national level sustainability initiatives, digital roadmapping can ensure visibility of these goals. As automation increases throughout the planning and design phases, AI-driven optimization systems can further discover improved designs or interventions to increase project performance and sustainability. This type of analysis can be performed at any stage of the lifecycle. We invite building, campus, or city scale thought leaders to contact us to develop pilot projects or to map sustainability certification systems in your region.

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Project start date
11/12/2020
Project end date
01/09/2021

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