Design For Manufacturing And Assembly Research Articles

An Improvement of Hand Press Machine by Design for Manufacturing and Assembly (DFMA) Methodology

This research consists of the analysis of hand press machine selected using the Design for Manufacturing and Assembly (DFMA) method. DFMA is a method that combines both Design for Manufacturing (DFM) and Design for Assembly (DFA) techniques. It has the purpose to make improvements on the existing product by implementing DFMA to reduce number of components, time, and cost. The combination of hand press machine and a die cutting tool has been an effective tool to produce and replicate identical designs in the shortest time. The main objective of this research is to develop a Hand Press Machine that exhibits superior design efficiency and reduced manufacturing costs compared to the original design. To achieve this, the chosen existing model, the WUTA Pro Leather Cutting Machine, was remodelled using SolidWorks 2022 software. The original design of the Hand Press Machine had a design efficiency of 25.89%. However, the improved design achieved a significantly higher design efficiency of 36.56%, representing an increase of 10.67%. To attain this improvement, four modifications were implemented. One notable achievement in the improved design was a reduction in the total number of parts. The original design comprised 52 parts, whereas the improved design successfully reduced this to 34 parts, resulting in a reduction of 18 parts. The cost analysis, based on total absorption cost, revealed that the manufacturing cost of the original design was estimated at $362.01 for 18 manufactured parts. In contrast, the improved design was able to achieve a cost reduction, with an estimated manufacturing cost of around $339.16 for 16 manufactured parts. This indicates a cost reduction of $22.85 between the two models.

Anthropomorphic Robotic Hand Prosthesis Developed for Children

The use of both hands is a common practice in everyday life. The capacity to interact with the environment is largely dependent on the ability to use both hands. A thorough review of the current state of the art reveals that commercially available prosthetic hands designed for children are very different in functionality from those developed for adults, primarily due to prosthetic hands for adults featuring a greater number of actuated joints. Many times, patients stop using their prosthetic device because they feel that it does not fit well in terms of shape and size. With the idea of solving these problems, the design of HandBot-Kid has been developed with the anthropomorphic qualities of a child between the ages of eight and twelve in mind. Fitting the features of this age range, the robotic hand has a length of 16 cm, width of 7 cm, thickness of 3.6 cm, and weight of 328 g. The prosthesis is equipped with a total of fifteen degrees of freedom (DOF), with three DOFs allocated to each finger. The concept of design for manufacturing and assembly (DFMA) has been integrated into the development process, enabling the number of parts to be optimized in order to reduce the production time and cost. The utilization of 3D printing technology in conjunction with aluminum machining enabled the manufacturing process of the robotic hand prototype to be streamlined. The flexion–extension movement of each finger exhibits a trajectory that is highly similar to that of a real human finger. The four-bar mechanism integrated into the finger design achieves a mechanical advantage (MA) of 40.33% and a fingertip pressure force of 10.23 N. Finally, HandBot-Kid was subjected to a series of studies and taxonomical tests, including Cutkosky (16 points) and Kapandji (4 points) score tests, and the functional results were compared with some commercial solutions for children mentioned in the state of the art.

DfMA Integrated Assessment Model for Selecting Optimal Design Alternatives in OSC Projects

To select the optimal design alternative in off-site construction (OSC) projects, the building industry has turned to design for manufacturing and assembly (DfMA). However, most DfMA developments in the OSC field until now have been on improving the production process in OSC projects and guideline strategies on how to apply them. The application of DfMA guidelines only provides background knowledge to designers on how to design. However, it cannot inspect whether the DfMA concept is fully reflected in a design draft to examine the suitability to the OSC production environment, and it cannot determine the optimal alternative from among multiple design alternatives. Thus, this study developed an integrated assessment model of OSC-DfMA consisting of the OSC-DfMA production suitability assessment model and the OSC-DfMA production efficiency assessment model to support decision-making for selecting the optimal design alternative of an OSC project. In this study, the scope of the main research was limited to precast concrete (PC)-based OSC projects. Firstly, we developed an OSC-DfMA production suitability assessment model to review whether design drafts are suitable in the OSC production environment by applying checklist and matrix techniques. Secondly, we developed an OSC-DfMA production efficiency assessment model to select an optimal alternative in terms of production efficiency among multiple design drafts. Thirdly, we conducted a case study to validate the usefulness of the OSC-DfMA assessment model developed in this study. Finally, we discuss the possibility of using AI technology to consider the facility capacity and resource constraints during the production of OSC building components. The study results are of practical value in providing the basis for expanding the applicability of DfMA by proposing a DfMA assessment model suitable for OSC contexts.

Detailed Design of Special-Shaped Steel Structures Based on DfMA: The BIM-FEM Model Conversion Method

(1) This paper, based on the characteristics of complex steel structures as well as difficult points in the process of their detailed design, introduces the product design concept of DfMA (Design for Manufacturing and Assembly) from the manufacturing industry and studies the detailed design method of BIM-FEM model conversion. The BIM software Revit (2020) is used as the basis for the BIM detailed design of the project, which achieves the purpose of rapid modeling and provides a detailed design model basis for finite element analysis. (2) Utilizing the Revit API and C# for secondary development as the technical means, this approach involves converting the geometric entity model described by CSG-Brep into an APDL stream. This creates an interface with the finite element analysis software ANSYS (12.0) to implement the detailed design of BIM-FEM model conversion, optimizing the algorithm for converting complex analysis models that require high precision for special-shaped steel structures. (3) This research addresses issues such as the disconnection between the design, manufacturing, and construction of special-shaped steel structures, providing support for design decisions. Moreover, it enhances the detailed design method by improving the standardization of special-shaped components under the condition of design diversity. (4) These studies provide sustainability for engineering design, manufacturing, and construction projects, enabling the maximization of benefits and product lifecycle management (PLM) through these projects. (5) Finally, a case study analysis was conducted on the Wuhan City New Generation Weather Radar Construction Project, designed by the Central South Architectural Design Institute (CSADI), to verify the detailed design of BIM-FEM model conversion. This proved the scientific validity, practicality, and necessity of this research.

DESIGN FOR MANUFACTURING AND ASSEMBLY (DfMA) – WHAT AFFECTS ITS ADOPTION IN THE CONSTRUCTION PROJECTS?

There is a consensus among industry leaders and scholars that the construction sector will lose its competitive advantages if its lethargy to adopt Industry 4.0 technologies continues. As a response, the construction industry has been advocating the more extensive use of the Design for Manufacturing and Assembly (DfMA) in projects. Research studies on this topic mainly reported technological advancement but rarely addressed the factors that lead to the development of positive organizational behavior towards the implementation of DfMA. A systematic literature review will be adopted to achieve the research aims. A total number of 18 behavioral traits were identified through the method, including client's interest, stakeholders support, availability of DfMA related resources, companies' capability, early involvement of all parties in design, development of DfMA-friendly procurement approach, the use of digital technology, government involvement, etc. The findings will shed light on DfMA adoption on behavioral aspects for global DfMA adoption in the construction industry.

DESIGN FOR MANUFACTURING AND ASSEMBLY (DfMA) – WHAT AFFECTS ITS ADOPTION IN THE CONSTRUCTION PROJECTS?

There is a consensus among industry leaders and scholars that the construction sector will lose its competitive advantages if its lethargy to adopt Industry 4.0 technologies continues. As a response, the construction industry has been advocating the more extensive use of the Design for Manufacturing and Assembly (DfMA) in projects. Research studies on this topic mainly reported technological advancement but rarely addressed the factors that lead to the development of positive organizational behavior towards the implementation of DfMA. A systematic literature review will be adopted to achieve the research aims. A total number of 18 behavioral traits were identified through the method, including client's interest, stakeholders support, availability of DfMA related resources, companies' capability, early involvement of all parties in design, development of DfMA-friendly procurement approach, the use of digital technology, government involvement, etc. The findings will shed light on DfMA adoption on behavioral aspects for global DfMA adoption in the construction industry.

Client-centered detached modular housing: natural language processing-enabled design recommender system

Abstract Designing modular housing is a complex task that necessitates a thorough understanding of the diverse needs of clients in terms of both design aesthetics and floor plan layout. Furthermore, adhering to design for manufacture and assembly (DfMA) principles adds to the complexity, as these are essential modular home requirements. Traditional construction methods frequently fail to meet the specific needs of both clients and DfMA, potentially resulting in suboptimal design solutions. Incorporating client requirements during the design phase necessitates the use of an effective system and framework to reduce changes in subsequent project stages. Existing literature lacks a suitable approach, particularly in the context of modular housing. To address this gap, this paper introduces an artificial intelligence–building information modeling recommender system (RS) for detached modular housing design. The system processes client requirements entered as text utilizing the Word2vec algorithm with the GloVe dataset, refined through transfer learning using surveyed client data of housing needs. The system recommends three distinct modular building design alternatives sourced from a building information modeling models database using cosine and Euclidean similarity functions. A sensitivity analysis ensures that client needs are considered fairly, increasing the robustness of the RS. By incorporating natural language processing, this system transforms the construction industry by making initial designs more client-centric compared with traditional methods. Furthermore, it promotes improved collaboration among clients, design, and construction teams, reducing modifications to design in later stages of construction.

DeepCraft: imitation learning method in a cointelligent design to production process to deliver architectural scenarios

The recent advancements in digital technologies and artificial intelligence in the architecture, engineering, construction, and operation sector (AECO) have induced high demands on the digital skills of human experts, builders, and workers. At the same time, to satisfy the standards of the production-efficient AECO sector by reducing costs, energy, health risk, material resources, and labor demand through efficient production and construction methods such as design for manufacture and assembly (DfMA), it is necessary to resolve efficiency-related problems in mutual human‒machine collaborations. In this article, a method utilizing artificial intelligence (AI), namely, generative adversarial imitation learning (GAIL), is presented then evaluated in two independent experiments related to the processes of DfMA as an efficient human‒machine collaboration. These experiments include a) training the digital twin of a robot to execute a robotic toolpath according to human gestures and b) the generation of a spatial configuration driven by a human's design intent provided in a demonstration. The framework encompasses human intelligence and creativity, which the AI agent in the learning process observes, understands, learns, and imitates. For both experimental cases, the human demonstration, the agent's training, the toolpath execution, and the assembly configuration process are conducted digitally. Following the scenario generated by an AI agent in a digital space, physical assembly is undertaken by human builders as the next step. The implemented workflow successfully delivers the learned toolpath and scalable spatial assemblies, articulating human intelligence, intuition, and creativity in the cocreative design.

Large language models driven BIM-based DfMA method for free-form prefabricated buildings: framework and a usefulness case study

ABSTRACT The escalating demand for free-form buildings presents a formidable technological hurdle in the realm of prefabrication manufacturing and assembly. This research draws inspiration from recent advancements in large language models (LLMs) and seeks to harness their transformative potential in tandem with Building Information Modeling (BIM) to advance the Design for Manufacture and Assembly (DfMA) method. The ultimate aim is to catapult the prefabrication industry into an era characterized by unparalleled design freedom and heightened efficiency. The research includes contributions from the following four areas: (1) A review of the literature on DfMA theories, specifically fabrication and construction. (2) The development of a BIM-based DfMA method framework, including the methodological basis, Design for Manufacturing (DfM), and Design for Assembly (DfA). (3) A pipeline for LLMs driven BIM-based DfMA method framework and a validation using the Decathlon Solar Team design-build practice at the University of Washington’s Lotus House. (4) An evaluation of 692 conversation scenarios to verify the feasibility of our proposal. We get a 91.1% user agreement on average based on GPT4. The research results could guide the workflow in building a lifecycle for DfMA practices in the future smart manufacturing era.

MIVES MULTI-CRITERIA FRAMEWORK TO SUSTAINABILITY INDEX OF DESIGN FOR MANUFACTURE AND ASSEMBLY

Embracing sustainable strategies that consider Design for Manufacture and Assembly (DfMA) has become a rapidly growing trend in urban development. Continued uncertainty on the sustainability assessment of design could drive a series of indecisive decision-making among design alternatives, further disrupting the potential opportunities toward sustainable DfMA. However, there is a lack of research on sustainable design assessments for DfMA and establishing a sustainable index. This research establishes an integrated value model for the sustainability assessment framework and DfMA sustainability index to address this challenge. This model integrates Building Information Modelling (BIM) with MIVES, a customisable Multi-Criteria Decision Making (MCDM) tool. The pilot case of this framework is the retrofit of a commercial building’s façade system, which demonstrated the capability of the proposed framework. Data collection and analysis include the comparisons between five design alternatives. This research furthers previous studies and has three-fold significance: 1) Establishing reasonable multi-criteria for the sustainable DfMA indices; 2) Adapting the MIVES approach for comparative analysis across three building phases to make it compatible with DfMA; 3) developing a quantitative analysis method for sustainable design assessment of DfMA in the construction industry.

Design for Manufacturing and Assembly (DfMA) in Construction: A Holistic Review of Current Trends and Future Directions

The construction industry, despite its anticipated significant growth, has struggled with low productivity over the past two decades. Design for manufacturing and assembly (DfMA), a methodology with a history of success in other industries, presents a promising solution to enhancing efficiency in construction. This article reviews the current state of DfMA in the construction industry, identifies the most recent research themes in the field of DfMA, and provides recommendations for future DfMA research based on the existing research gaps. The paper employs a mixed-method approach, combining quantitative bibliometric analysis and qualitative thematic analysis. Using Scopus as the literature database, the study identified 43 relevant articles published between 2013 and 2023. The bibliometric analysis reveals a growing interest in DfMA research, with an upward trend in publications over the years. The thematic analysis categorizes DfMA research topics into six main themes: Innovation and Technology Trends, Sustainability and Environmental Impact, Regulatory and Policy Considerations, Collaborative Approach, Applications, Benefits, and Challenges, and Project Lifecycle. Each theme is explored in-depth, providing insights into the transformative impact of technology, environmental considerations in DfMA, regulatory challenges, collaborative strategies, varied applications, and the project lifecycle phases influenced by DfMA. The article concludes by presenting identified research gaps and offering recommendations for future DfMA research. It emphasizes the need for a holistic approach, continued collaboration, and a focus on unexplored aspects of regulatory frameworks and the entire project lifecycle. This study sets a new benchmark in DfMA research by employing a novel mixed-method approach and providing unprecedented insights into the multifaceted role of DfMA in advancing construction industry practices. It serves as a valuable resource for researchers, practitioners, and stakeholders in the construction industry by offering a comprehensive understanding of DfMA’s current state and guiding future research endeavors.

Implementing Universal Design through augmented-reality game-based learning

Technology integration in higher education (HE) provides educators with the opportunity to design stimulating learning environments, especially in design and engineering education (DEE) where it plays a unique role in nurturing creativity, problem-solving and innovation. This study investigates the integration of an augmented reality (AR) educational game in DEE, focusing on the teaching of Design for Manufacturing and Assembly (DfMA) principles. The primary aim of this research is to enhance traditional DfMA teaching and learning (T&L) practices by applying innovative T&L strategies. The resulting AR DfMA game, developed using digital game-based learning, microlearning and collaborative learning techniques, aligns with the Universal Design for Learning framework to create an inclusive learning environment that encourages participation from all students and supports several learning styles.The study tests the individual features designed for personal study opportunities to discover which elements are optimal in that environment, and then on the proposed in-class group components of the AR game, involving 68 participants from the appropriate program, though it is not currently implemented as part of a module. We utilize a mixed methods approach to examine the students’ experience and identify key design features that contribute to an inclusive educational experience. The findings highlight positive student experiences, and preferences for hands-on engagement, multimodal content, and collaborative activities. The AR DfMA game also has the potential to enhance intrinsic motivation and create an active and inclusive learning environment. Challenges and areas for improvement are also discussed.

PERANCANGAN ALAT BANTU KERJA PADA PROSES PAINTING BOF NONFLIP DI PT XYZ

All products must have aesthetic value in order to attract customer interest, one of which is to apply color coating by carrying out the painting process. This research was conducted at the painting department at PT XYZ where the color coating process on nonflip bof products was carried out without the use of tools according to product specifications, as a result the product fell due to wind pressure from the spray gun causing the nonflip bof product to become deformed and the target was not reached. Based on this, the researcher intends to conduct research on the design of work aids for the painting process of nonflip bof products using the Design for Manufacturing and Assembly (DFMA) method. Based on the DFMA analysis, the design of this tool was assembled with a total of 10 components and a manufacturing cost of IDR 2,608,163 and a manufacturing time of 3.82 hours. From the test results after using the tools from the design results, it was found that the painting process of nonflip bof only took 3.64 minutes for one time painting process of 20 units of nonflip bof products with a total output of 1 working day producing 1,860 units.

PERANCANGAN JIG PROSES DRILLING DI PT. DUO WORK ENGINEERING

The rapid development of technology, especially in the industrial sector, has led many companies to conduct research and innovation to enhance production efficiency and product quality. High-quality products reflect a company's efforts to increase production volume and minimize the amount of rejects or waste generated during production. The drilling process at PT. Duo Work Engineering utilizes the Laguna FTV1 milling machine. The purpose of this research is to determine the design of a drilling jig to minimize the rate of defective products. The method used in this research is DFMA (Design for Manufacture and Assembly). The data used in this study consists of the total number of defective products during the drilling process. The calculation results based on the defective products without using the jig showed 26 pieces with a success rate of 83.3%. After implementing the designed jig, the success rate increased to 96.6%, indicating a reduction in defective product rate by 13.3%.

Design of Ergonomic Adjustable Welding Work Facilities Using the DFMA Method

In this modern and sophisticated era, the manufacturing industry is developing both service industries and those that produce products with a variety of shapes and models to attract customers. For example, adjustable welding tables, motorbikes, cars, and others. Companies compete with each other in terms of price, product excellence, product innovation, and product convenience in order to find the right consumer market. DFMA (Design for Manufacturing and Assembly) is a method of making products that aims to facilitate the manufacturing and assembly process where existing designs can be simplified and adapted to the capabilities of the manufacturing facility by considering technical aspects. The scope of design and ergonomics activities includes problems related to human needs, including interior design, furniture design, environmental equipment design, transportation equipment design, textile design, graphic design, etc. (Setiawan, M. S. 2022). At this stage, data collection is carried out, and the author needs to design an adjustable welding table. However, first recompose the table components and determine which are assembly parts and subassembly parts. Then identify each component. Product size and components, labor time, manufacturing data, and others to support research. 1. Analysis of Design Needs 2. Preliminary Design Sketching 3. Design Evaluation 4. Final Design Refinement 4. Final Design Refinement 4. Final Design Refinement 4. Final Design Refinement 4. Final Design Refinement 4. Final Design Refinement. 1) In the previous product development, design 3 was completed with a design that is certainly more ergonomic than design 1, because design 3 has been adjusted to body size using ergonomic standards. 2) Based on the results of the development of this adjustable welding table product, option 3 is the one with the lowest cost because it has a smaller number of components and total assembly steps compared to options 1 and 2. The cost of option 1 is around Rp. 1,780,000; option 2 is around Rp. 1,515,000; and option 3 is around Rp. 870,000. The total assembly steps for option 1 are 40; option 2 is 34; and option 3 is 25. The number of components in options 1 and 2 is 10, while option 3 is only 9.

(Invited) Techno-Economic Analysis on Near-Term and Future Projections of Levelized Cost of Hydrogen for Low-Temperature Water Electrolysis Technologies

Hydrogen is seen as a potential energy intermediary between renewable energy sources and end-use applications including transportation, power, and industrial feedstocks. Core to this approach is low-cost hydrogen generation via water electrolysis. Significant research has been undertaken to improve the electrolysis stack technology, including enhancements in electrical efficiency, materials degradation, and total stack cost. However, relative to the total cost of installing an electrolysis plant, the stack contributes <50% of the initial capital investment. Therefore, from an electrolysis project perspective, the mechanical balance of plant and electrical systems required to operate the plant are equally important to understand.To explore the near-term and future cost projection for hydrogen production via electrolysis, Strategic Analysis, Inc. (SA) has developed a bottom-up project cost model for Alkaline, Proton Exchange Membrane (PEM), and Anion Exchange Membrane (AEM) electrolysis technologies. This project cost model incorporates: 1) Stack cost, derived from a Design for Manufacturing and Assembly (DFMA) process-based cost model developed by SA, 2) mechanical balance of plant, including process equipment, piping, valves, and instrumentation, derived from equipment quotes, scaling, database values, and Aspen estimates; 3) electrical balance of plant, including wiring, rectification, and electrical infrastructure upgrades, derived from time and material cost correlations; 4) Site Preparation, focused on green field installation; and 5) Construction Overhead, including engineering, procurement, and construction (EPC) costs and project contingency. The SA project cost model is fed into a Levelized Cost of Hydrogen (LCOH) model that accounts for electricity and water consumption, in addition to other operating costs, including labor, maintenance, and stack replacements.The SA project cost model and the LCOH model were used to conceptualize electrolysis system sizes from 100 MW to 1 GW for Alkaline, PEM, and AEM electrolysis systems. From a project perspective, electricity costs contribute 50-80% to the LCOH while capital and maintenance costs contribute the remaining 20-50% to the LCOH. Improvements in stack performance and cost offer incremental improvements in LCOH; however, larger reductions in hydrogen cost will only be possible through optimization of the stack cell voltage and operating current density in conjunction with reductions in net electricity price through integration with low-cost, probably renewable, electricity.Results from SA’s polarization performance optimization model show that lower cost Alkaline stacks, having somewhat lower performance (than PEM), tend to optimize at lower current densities leading to a larger stack active area, and benefit from low operational voltage to obtain higher conversion efficiencies. Higher cost PEM stacks with higher performance (than Alkaline stacks) tend to optimize at higher current densities to reduce the size/capital cost of the stacks and can afford a lower stack efficiency. Multivariable sensitivity analyses show the statistical variation in capital cost leading to the most likely range in LCOH for each technology. The results of this study provide guidance on where the largest incremental reductions in LCOH can be achieved on a project basis.

Receptiveness of mass-engineered timber (MET) residential buildings among young stakeholders

PurposeTraditional construction materials and methodologies are often perceived to be unproductive, labour-intensive and detrimental to the environment. Mass-engineered timber (MET) is a new structural material that is capable of overcoming numerous issues that otherwise affect the built environment. This study was formulated to assess the current attitude and perception of young Singaporeans towards the concept of Engineered Timber Residential Buildings (ETRBs).Design/methodology/approachThe study employs the mixed-method approach. Questionnaires were used as the primary mode of data gathering. These were disseminated to Singaporeans between the age of 18 and 35 years. A total of 179 valid responses were gathered. Semi-structured interviews were subsequently conducted with six individuals with different demographics in order to gain further insightful opinions and to allow cross validation of responses.FindingsStatistical analysis revealed that 80% of respondents were willing to accept ETRBs, but a lack of awareness and knowledge of MET and the presence of misconceptions, such as an association with deforestation, may present concerns. The study also revealed that individual acceptance of ETRBs is not affected by demographics.Originality/valueThe production of MET involves lower overall carbon emissions than that of conventional materials, and this also allows adoption of the Design for Manufacturing and Assembly (DfMA) concept and offers the benefit of carbon sequestration. Residential buildings are the second most common building type in Singapore; significant benefits can be gained if MET is used as the primary material for residential buildings. In general, young stakeholders in Singapore welcome the concept of ETRBs, despite possessing uncertainties about ETRBs—understandable given that the material lacks a track record of usage. Public authorities are thus advised to explore the feasibility of materialising the concept of ETRBs as an option for public housing.

Design thinking-driven development of a modular X-Band antenna using multi-material 3D printing

This study presents the development of a modular parasitic patch antenna using 3D printing and the Design Thinking (DT) methodology. The antenna structure, manufactured with insulating polycarbonate and conductive silver lines, incorporates a reflector, main antenna, and parasitic patch. The study demonstrates the successful application of DT and Design for Manufacture and Assembly (DfMA) principles in optimizing manufacturing efficiency and assembly effectiveness. Simulations and measurements confirm the satisfactory performance of the 3D printed antenna, with a minimum reflection coefficient of -15 dB, efficiency reaching up to 75%, and gain falling within the range of conventionally fabricated antennas. The integration of insulator and conductor materials in 3D printing facilitates the manufacturing of complex structures, while the modular design enables easy installation and customization. This research contributes to the advancement of 3D printing technology for microwave applications, offering cost-effective and efficient manufacturing solutions for industrial antenna production.

An optimized energy efficient design of a light gauge steel building

This paper presents a case study of an energy efficient and cost optimized design of a light gauge steel building. The structural analyses conducted were linked to the concept of design for manufacture and assembly (DfMA) for the optimization of assembly time, quantity of labors and materials. A variety of analyses were performed on a prefabricated residential building constructed with cold formed and hot rolled steel materials for comparison which has a limited research previously. The energy optimization for the prefabricated building was carried out using Autodesk Insight 360. Several tools for structural, thermal, energy and cost analyses were adopted in this research. A Building Information Model (BIM) was developed in Revit and structural model in ETABS for structural analysis. Thermal performance was executed using Simulinks in MATLAB followed by energy simulations in DesignBuilder and EnergyPlus software packages. The material and energy costs of the designed building were estimated using CostX tool. From the analysis, the optimal window-wall ratio (WWR) was found to be 10%− 15% produced better energy and cost savings. Furthermore, the total energy consumption and greenhouse gas emissions of the building was found to be reduced by 28.7%− 31.5% with an application of insulation in its external walls in simulations. Improved bending capacity and shear force for CFS compared to RHS was observed. Finally, a framework was proposed for the automation and interoperability of building analysis tools.

Design for Manufacturing and Assembly (DfMA) of Standardized Modular Wood Components

The challenges posed by urbanization and the linear product model of “obtain-consume-abolish” has led to irreversible damage to ecological resources. Design principles for manufacturing and assembly (DfMA) of construction projects are critical to significantly increase overall productivity, reduce costs, minimize on-site waste generation, and improve engineering quality and worker safety. This research develops a robot-assisted off-site solution that utilizes wooden components (digital material) designed as interlocking structures for easy installation and disassembly. The workflow of component-design-fabrication-assembly-reconfiguration, connector design, and assembly configuration is combined with mechanical construction, guided by DfMA principles while establishing a Circular Economy (CE) framework. This research contributes to developing robotic construction practices that enhance circularity and mitigate the negative impacts of urbanization on the environment.