A scientometric review of management of prefabricated construction from 2011–2021

Prefabricated construction (PC) is an increasingly popular method of construction utilized globally due to its high productivity and efficient performance. PC as an advanced building technique is susceptible to problems such as the immaturity of the PC industry’s development, inability to realize production benefits, and application-related risks and uncertainties. The management of PC (MPC) can be applied to resolve these difficulties and generally enhance performance. Reviews pertinent to the MPC are scarce, making it challenging to concentrate and comprehensively summarize the research situation of the MPC. The MPC review was conducted by Li et al. in 2014. However, there has been a lot of change in the MPC research field. Therefore, this study is an extension of the work of Li et al. (2014). This article aims to analyze and summarize the current research situation and future trends of the MPC, employing a bibliometric search and scientometric analysis from MPC-related publications between 2011 and 2021. This paper outlines current research topics, gaps, and future development from four perspectives based on publications gathered: (1) PC development, (2) PC performance management, (3) PC life cycle management, and (4) technological applications in the MPC. Based on the discussion of these four performance indexes, the following future research directions are proposed: (1) PC industry development considering a combination of Industry–University–Research, (2) the performance impact of management methods and technologies, (3) the rationality of management methods and technologies. This study is vital for scholars to understand MPC research and to conduct further research

An integrated framework for reducing precast fabrication inventory

Precast fabricators strive for business success on delivering products on time. To achieve this goal, fabricators start fabrication once they receive design information. However, this practice results in finished goods inventory which is regarded as waste. The objective of this study is to develop a framework for precast fabricators to reduce the inventory. The framework consists of three components. The first time buffer evaluation is used to avoid fabricators losing capacity by considering demand variability. The second component, due date adjustment, shifts production curve closer to erection dates to reduce inventory. The third scheduling component arranges production sequences to achieve multi-objectives using genetic algorithms. One real case is experimented to demonstrate the effectiveness of the proposed framework. The application results show that the developed framework can reduce the level of finished goods inventory without changing production resources. Santrauka Surenkamosios statybos sektorius siekia didinti verslo struktūru gebejima produktus tiekti laiku. Tokia gamyba pradedama vos gavus projektine informacija. Tačiau taip gaminant susikaupia daug gaminiu atsargu, apsunkinančiu imones veikla. Šio tyrimo tikslas ‐ sukurti sistema, kuri leistu tokias atsargas sumažinti. Sistema sudaro trys komponentai. Pirmasis komponentas padeda atsižvelgti i paklausos kitima ir išvengti per didelio gamybos pajegumu mažinimo. Šis komponentas vadinamas pirmojo pareikalavimo itakos sušvelninimu. Antrasis komponentas leidžia mažinti gamybines atsargas, gamyba priderinant prie statybos ir montavimo laiko. Trečiasis sistemos komponentas skirtas planuoti darbus, išdestant gamybos operaciju sekas pagal daugiatikslius kriterijus ir taikant genetinius algoritmus. Aprašomas praktinis pavyzdys, iliustruojantis pasiūlytosios sistemos efektyvuma. Taikymo rezultatai rodo, kad igyvendinta sistema leis sumažinti pagamintos produkcijos atsargas, nemažinant gamybos sanaudu. First Published Online: 10 Feb 2011 Reikšminiai žodžiai: surenkamoji statyba, paklausos kitimas, gamybines atsargos, darbu planavima

The doctoral research abstracts. Vol:7 2015 / Institute of Graduate Studies, UiTM

Foreword: The Seventh Issue of The Doctoral Research Abstracts captures the novelty of 65 doctorates receiving their scrolls in UiTM’s 82nd Convocation in the field of Science and Technology, Business and Administration, and Social Science and Humanities. To the recipients I would like to say that you have most certainly done UiTM proud by journeying through the scholastic path with its endless challenges and impediments, and persevering right till the very end. This convocation should not be regarded as the end of your highest scholarly achievement and contribution to the body of knowledge but rather as the beginning of embarking into high impact innovative research for the community and country from knowledge gained during this academic journey. As alumni of UiTM, we will always hold you dear to our hearts. A new ‘handshake’ is about to take place between you and UiTM as joint collaborators in future research undertakings. I envisioned a strong research pact between you as our alumni and UiTM in breaking the frontier of knowledge through research. I wish you all the best in your endeavour and may I offer my congratulations to all the graduands. ‘UiTM sentiasa dihati ku’ / Tan Sri Dato’ Sri Prof Ir Dr Sahol Hamid Abu Bakar , FASc, PEng Vice Chancellor Universiti Teknologi MAR

Algorithms for Geometric Optimization and Enrichment in Industrialized Building Construction

The burgeoning use of industrialized building construction, coupled with advances in digital technologies, is unlocking new opportunities to improve the status quo of construction projects being over-budget, delayed and having undesirable quality. Yet there are still several objective barriers that need to be overcome in order to fully realize the full potential of these innovations. Analysis of literature and examples from industry reveal the following notable barriers: (1) geometric optimization methods need to be developed for the stricter dimensional requirements in industrialized construction, (2) methods are needed to preserve model semantics during the process of generating an updated as-built model, (3) semantic enrichment methods are required for the end-of-life stage of industrialized buildings, and (4) there is a need to develop pragmatic approaches for algorithms to ensure they achieve required computational efficiency. The common thread across these examples is the need for developing algorithms to optimize and enrich geometric models. To date, a comprehensive approach paired with pragmatic solutions remains elusive. This research fills this gap by presenting a new approach for algorithm development along with pragmatic implementations for the industrialized building construction sector. Computational algorithms are effective for driving the design, analysis, and optimization of geometric models. As such, this thesis develops new computational algorithms for design, fabrication and assembly, onsite construction, and end-of-life stages of industrialized buildings. A common theme throughout this work is the development and comparison of varied algorithmic approaches (i.e., exact vs. approximate solutions) to see which is optimal for a given process. This is implemented in the following ways. First, a probabilistic method is used to simulate the accumulation of dimensional tolerances in order to optimize geometric models during design. Second, a series of exact and approximate algorithms are used to optimize the topology of 2D panelized assemblies to minimize material use during fabrication and assembly. Third, a new approach to automatically update geometric models is developed whereby initial model semantics are preserved during the process of generating an as-built model. Finally, a series of algorithms are developed to semantically enrich geometric models to enable industrialized buildings to be disassembled and reused. The developments made in this research form a rational and pragmatic approach to addressing the existing challenges faced in industrialized building construction. Such developments are shown not only to be effective in improving the status quo in the industry (i.e., improving cost, reducing project duration, and improving quality), but also for facilitating continuous innovation in construction. By way of assessing the potential impact of this work, the proposed algorithms can reduce rework risk during fabrication and assembly (65% rework reduction in the case study for the new tolerance simulation algorithm), reduce waste during manufacturing (11% waste reduction in the case study for the new panel unfolding and nesting algorithms), improve accuracy and automation of as-built model generation (model error reduction from 50.4 mm to 5.7 mm in the case study for the new parametric BIM updating algorithms), reduce lifecycle cost for adapting industrialized buildings (15% reduction in capital costs in the computational building configurator) and reducing lifecycle impacts for reusing structural systems from industrialized buildings (between 54% to 95% reduction in average lifecycle impacts for the approach illustrated in Appendix B). From a computational standpoint, the novelty of the algorithms developed in this research can be described as follows. Complex geometric processes can be codified solely on the innate properties of geometry – that is, by parameterizing geometry and using methods such as combinatorial optimization, topology can be optimized and semantics can be automatically enriched for building assemblies. Employing the use of functional discretization (whereby continuous variable domains are converted into discrete variable domains) is shown to be highly effective for complex geometric optimization approaches. Finally, the algorithms encapsulate and balance the benefits posed by both parametric and non-parametric schemas, resulting in the ability to achieve both high representational accuracy and semantically rich information (which has previously not been achieved or demonstrated). In summary, this thesis makes several key improvements to industrialized building construction. One of the key findings is that rather than pre-emptively determining the best suited algorithm for a given process or problem, it is often more pragmatic to derive both an exact and approximate solution and then decide which is optimal to use for a given process. Generally, most tasks related to optimizing or enriching geometric models is best solved using approximate methods. To this end, this research presents a series of key techniques that can be followed to improve the temporal performance of algorithms. The new approach for developing computational algorithms and the pragmatic demonstrations for geometric optimization and enrichment are expected to bring the industry forward and solve many of the current barriers it faces

Coordinated rescheduling of precast production

Ph.DDOCTOR OF PHILOSOPH

Off-site construction in highways projects: management, technical and technology perspectives from the United Kingdom

With a rich off-site construction (OSC) experience accumulated over the last two centuries, the United Kingdom (UK) is looking up to OSC to deliver its critical infrastructure projects in the next decade. Highway projects are good fits for OSC with their project characteristics. However, the extant OSC literature for highways is mostly about OSC elements’ design performance. Also, the OSC literature is predominantly building sector focused. Addressing this gap, the paper presents the findings of a research project, sponsored by the UK’s National Highways, which aims at understanding what needs to be done to improve the current OSC condition for highways projects in the UK from a management, technical and technological perspective. After a detailed literature review, 20 in-depth interviews with subject experts were conducted. The initial findings were validated through five highways projects as cases and then ranked by two focus groups using the Delphi method. Alongside revealing the current OSC condition, 95 suggestions (43 management-related, 23 technical opportunities, and 29 technology-related) were elicited and ranked by their impact potential. Some of the high-potential suggestions are developing a collaborative OSC decision making framework, a product design mindset, improving OSC digital product libraries, creating mobile OSC factories, and a design options repository. The findings revealed that many OSC challenges identified in the general or building sector focused OSC discussions exist also in the highways sector. It is recommended that the identified high and medium impact potential suggestions are prioritized by practitioners and policy makers to improve the current OSC condition

Life cycle energy efficiency in building structures: A review of current developments and future outlooks based on BIM capabilities

The continuous developments of Building Information Modelling (BIM) in Architecture, Engineering and Construction (AEC) industry supported by the advancements in material resourcing and construction processes could offer engineers the essential decision-making procedures to leverage the raising demands for sustainable structural designs. This article brings together the theory of Life Cycle Assessment (LCA) and the capabilities of BIM to survey the current developments in the energy efficiency of structural systems. In addition, the article explores the engineering dimensions of common decision-making procedures within BIM systems including optimisation methods, buildability and safety constraints and code compliance limitations. The research presents critical expositions in both engineering and sustainable energy domains. The article then argues that future innovations in the sustainable decision-making of buildings’ structures would require BIM-integrated workflows in order to facilitate the conflicting nature of both energy efficient and engineering performance indexes. Finally, the study puts forward a series of research guidelines for a consolidated decision paradigm that utilises the capabilities of BIM within the engineering and sustainable energy domains in a synergistic manner

Technology and Management for Sustainable Buildings and Infrastructures

A total of 30 articles have been published in this special issue, and it consists of 27 research papers, 2 technical notes, and 1 review paper. A total of 104 authors from 9 countries including Korea, Spain, Taiwan, USA, Finland, China, Slovenia, the Netherlands, and Germany participated in writing and submitting very excellent papers that were finally published after the review process had been conducted according to very strict standards. Among the published papers, 13 papers directly addressed words such as sustainable, life cycle assessment (LCA) and CO2, and 17 papers indirectly dealt with energy and CO2 reduction effects. Among the published papers, there are 6 papers dealing with construction technology, but a majority, 24 papers deal with management techniques. The authors of the published papers used various analysis techniques to obtain the suggested solutions for each topic. Listed by key techniques, various techniques such as Analytic Hierarchy Process (AHP), the Taguchi method, machine learning including Artificial Neural Networks (ANNs), Life Cycle Assessment (LCA), regression analysis, Strength–Weakness–Opportunity–Threat (SWOT), system dynamics, simulation and modeling, Building Information Model (BIM) with schedule, and graph and data analysis after experiments and observations are identified