Vertical Facility on Constrained Footprint
Semiconductor Client
Projects > Vertical Facility on Constrained Footprint
Semiconductor Client
A major supplier of semiconductor manufacturing tools wanted to expand their research and development facilities, but had extremely limited available space on their existing campus. With existing structures, adjacent bay lands, and a challenging soil composition, SSOE engineered a phased delivery of a vertical solution that accommodated all constraints.
Sandy Soil Mitigation
The combination of sandy soil and a seismically sensitive area made structural engineering for a vertically stacked building very challenging. The traditional approach to piles and platforms would have suffered from settling and vibration issues almost immediately. Instead, SSOE’s team developed an approach using micro piles and platforms. By using smaller and more numerous piles and platforms we were able to distribute the building loads more uniformly and protect against both seismic shifts and settling.
Design Precision and Specification Development
The existing production could not be shut down during construction, which required timely and precise tie-in locations via hot-taps on many of the wet systems, and closely coordinated tie-ins for air-side during short shutdown windows. The vertical nature of the utility areas required precise routing and coordination through existing yard. As a result of this need for precision, SSOE developed highly accurate project standards and specifications for the client.
Phased Execution
Existing structures in the project space required repeated demolition-construction cycles. This required SSOE to work closely with the General Contractor (GC) to develop a complex project phasing. SSOE developed modeling baselines and a BIM environment in order to manage and coordinate between trades, the GC, and the design team. The result allowed construction partners to seamlessly integrate each new building segment with the one before, while keeping the project on time and within budget.
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We found ourselves in need of a more robust tool to enhance resource forecasting and staff assignment capabilities. Instead of waiting for the perfect tool, we’re building it. SSOE’s in-house technology team has developed and piloted a tool that aims to forecast optimal staff mix and duration for new projects against existing workload to better understand capacity and manage resources efficiently. Additionally, the tool will allow teams to estimate staff requirements and identify gaps.
SSOE is utilizing Microsoft Copilot to significantly enhance work efficiency and accuracy across various departments. Copilot is accessible to all staff after training. Key areas of application include using it as a writing assistant, for idea generation, document summarization and generation, research assistant, excel assistant, programming code assistant, language translations, product comparison and data analysis. Use of Copilot has become part of the everyday life of SSOE employees who have identified key ways it can help them become more efficient with their daily tasks as well as more accurate in their deliverables.
Today, 75% of SSOE employees are have taken the training and have access to Copilot, with a goal of 100% of employees using Copilot by October 1, 2025.
We helped our client visualize and optimize façade design for occupant comfort—long before breaking ground through the use of the Autodesk Forma tool. It allows the designer to rapidly experiment with the building’s geometry and façade design to discover the most suitable form, prioritizing quality of spaces and comfort for end uses, especially in extreme climates (daylighting and microclimate analysis tools) at the project’s exact geographic location, using location-specific environmental data.
Discover how SSOE is using Autodesk Forma to improve sustainability outcomes for industrial projects: SSOE Group: Improving sustainability outcomes for industrial projects with Autodesk Forma
SSOE has developed a proof-of-concept to use an AI Agent to act as a Master Engineer trained in SSOE’s processes, best-known-methods, and trainings. Our data structure is being remodeled to enable better use of our proprietary knowledge to train the agent on the ‘SSOE way’ of engineering.
SSOE is actively piloting AI copilots that use Natural Language Processing (NLP) to streamline both design and development tasks, transforming how our teams interact with software and each other.
By integrating copilot engines into platforms like Revit and GitHub, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations can be shared across project teams, accelerating workflows and reducing manual effort.
Similarly, our internal Software Development Community is leveraging GitHub Copilot to expedite coding tasks. Developers can generate and refine code using NLP prompts, tapping into GitHub’s enterprise knowledge base to move faster from concept to implementation.
Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted collaboration, unlocking new levels of efficiency and scalability across our projects.
Autodesk Construction Cloud (ACC) is SSOE’s enterprise-wide project delivery platform. We partner with the Autodesk Product team and have research access. Use of the AI Assistant for project specifications allows our design teams, owners, and general contractors the ability to query the project specifications for quality, answers, and more rapid responses to RFIs, submittals, or issues.