GENIOS PTE LTD
Implementing Lean
Moving Ahead with R&D
Lean Construction Services
Smarter Building Through Lean Thinking
We at GENIOS are committed to bring value to project through implementing lean construction. The construction industry is undergoing a major transformation with the rise of digital technologies. Yet despite these advancements, many projects continue to face delays, inefficiencies, and escalating costs—often due to fragmented processes and poor coordination.
What We Offer
Lean Strategy Implementation
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We guide teams in applying lean principles across all project phases from design through delivery ensuring processes are reliable and value-driven. In lifting operations, we focus on lean logistics, site readiness and multi-crew coordination.
Integrated Digital Delivery
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By aligning lean construction with IDD, we help you integrate planning, design, fabrication, and assembly seamlessly through digital platforms for maximum efficiency.
Performance & Cost Improvements
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Projects that adopt lean methods have seen up to 30% reduction in completion time and up to 15% savings in overall cost while also improving safety and quality.
Our Approach
Our lean construction services apply a proven methodology to streamline project delivery, eliminate waste, and improve overall performance. By integrating the principles of lean management with digital tools, we help project teams reduce unnecessary effort and resources while achieving greater reliability, predictability, and value across the entire construction lifecycle.
Our approach is grounded in decades of field-tested expertise. Founder Professor David Chua has been teaching and researching lean construction since 1998. He developed the framework behind Lean PlanDo, an Integrated Lean Project Delivery system, and has implemented the Last Planner methodology across a range of construction projects to drive measurable improvements in productivity and coordination.
Whether you're a developer, contractor, or consultant, we bring the insight and systems needed to deliver smarter, more efficient buildings through lean thinking and digital integration.
Lean Implementation for DfMA
Design for Manufacturing and Assembly (DfMA) delivers significant improvements in productivity and quality by enabling parallel offsite fabrication in controlled environments. The shift from traditional onsite construction to efficient onsite assembly demands meticulous coordination—particularly in logistics and site readiness.
The potential benefits of DfMA can be easily lost without proper planning. Delays in component delivery, incomplete site preparation, or idle crews waiting for tasks to start are common forms of waste. Even with innovations like the Intelligent Lifting Frame (iLF) enhancing assembly precision and speed, these gains can be undermined by uncoordinated workflows.
Lean project delivery, especially through takt planning, is essential to protect these productivity gains. It ensures that every task is value-adding, that materials arrive just in time, and that the site is prepared for seamless installation. And GENIOS seeks to bring value to your project through the lean delivery system.
Takt Planning for Seamless Site Operations
Takt planning is a lean scheduling method that divides the project into consistent time intervals (“takt times”) and aligns tasks to flow smoothly across different zones. For DfMA projects, takt planning enables multi-crew coordination—ensuring that lifting, positioning, reinforcement laying, and casting are sequenced and synchronized.This structured approach minimizes downtime, balances workload across crews, and ensures that each task proceeds without delays or overlaps. The result is a more predictable, reliable, and efficient assembly process, fully aligned with the promise of DfMA. This structured approach minimizes downtime, balances workload across crews, and ensures that each task proceeds without delays or overlaps. The result is a more predictable, reliable, and efficient assembly process, fully aligned with the promise of DfMA.
So Why Lean Construction?
- Less waste, more value - Better coordination across disciplines - Reduced delays and rework - Higher productivity and client satisfaction Let us help you build smarter. Our lean construction services are tailored to support your project success—from day one.
Research & Development
Driving Innovation Through Research and Collaboration
At GENIOS, we are dedicated to advancing construction through in-house research and the development of smart technologies that enhance lifting and assembly processes. Our focus is on creating intelligent, automated solutions that bring greater efficiency, safety, and precision to the construction value chain. We actively pursue partnerships through research collaborations and contracts, working with industry and academic stakeholders to explore automation, digital integration, and lean methodologies. Our founder, Professor David Chua, has led over 15 funded research projects with cumulative grants exceeding $11 million. His expertise spans Building Information Modeling (BIM), machine learning, digital construction, lean principles, automation, and robotics—forming the foundation for GENIOS' commitment to innovation in construction.
Current Research in Our Team
Lean-Based Digital Twin for DfMA The digital twin supports DfMA by creating a real-time virtual representation of the design, manufacturing, and on-site assembly processes. It enables better coordination, early issue detection, and data-driven optimization of operations. By enabling real-time monitoring and feedback, the digital twin enhances decision-making and reduces inefficiencies across the construction process.
AR-based visualization method to improve on-site assembly process To address delays associated with current scanning techniques, the DfMA assembly-aid digital twin is extended with advanced site data sensing and digitalization capabilities. Additionally, an AR-based visualization system is explored to overlay quality assessment results and real-time feedback directly onto the physical site, guiding on-site assembly activities with dynamic digital cues.
Machine Learning This study addresses the challenge of enabling construction robots to recognize temporary objects (e.g., materials, tools, machinery) that are critical to site operations but difficult to detect with conventional deep learning methods. It proposes a novel few-shot image classification algorithm using CLIP to classify such objects with minimal training data. The approach demonstrates effectiveness across two datasets, offering a step forward in equipping robots for dynamic construction environments.
Vision Measurement This study utilizes cameras to determine the pose of the intelligent lifting frame relative to the final installation position. Real-time feedback is provided to the operator, enabling precise maneuvering of the precast module or component into place. With the integration of machine learning, this manipulation can be further automated to enhance assembly efficiency.