SmartPlan Homes: An Integrated Operations Model to Alleviate the U.S. Single-Family Housing Shortage
Year: 2025
Type: article
Abstract: The United States faces a severe single-family housing shortage, with recent estimates indicating a need for approximately 3.8 million additional homes to meet demand【†1】. Traditional site-built construction methods are often too slow, costly, and inefficient to bridge this gap. This paper presents SmartPlan Homes, a novel construction innovation that deploys an integrated operations model combining standardized Design for Manufacture and Assembly (DfMA) principles, panelized off-site manufacturing, just-in-time supply chain management, and a digital coordination platform. The methodology applies operations management and industrialized construction principles to residential building, aiming to dramatically improve efficiency, reduce costs, enhance quality, and accelerate project delivery. A comparative performance analysis suggests that the SmartPlan approach can reduce on-site construction duration by 30–50% and cut direct costs by 15–30% relative to conventional methods, while significantly improving build quality and consistency. Discussion is provided on the scalability of the SmartPlan model to high-volume production and on strategic considerations (such as intellectual property and investment needs) for implementing this concept in practice. All proprietary process innovations are discussed at a conceptual level to avoid disclosure of trade secrets. The integrated model is positioned as a rigorous, scalable solution to the housing crisis, underpinned by evidence from lean manufacturing and modular construction research. Overall, the study demonstrates how a holistic, operations-driven approach to homebuilding can deliver affordable, high-quality housing at scale, offering a transformative pathway for industry practitioners and policymakers to address the U.S. housing shortage.
Author: Kalimzhanov, Rustam
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930595802
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