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The purpose of this paper is to use the concepts of the multi-attribute utility theory to develop a model to evaluate the design of low-density residential units to increase the profit of the company from a certain design, by assessing the changes in the market shares as a result of the built unit’s attributes.

The proposed platform consists of two stages: Stage I or relational model development and Stage II or design evaluation. Stage I is concerned with developing a mathematical model that links design variables (e.g. the R-Value of the building envelope and construction material) with the assessment attributes (e.g. price and carbon emissions). Stage II ensures the fulfillment of the corporation’s goals in maximizing profit and market shares using multi-attribute utility theory.

The application of the proposed model on a case study – a single-family house – shows that reducing the selling price of the unit is not always the best marketing strategy builders should pursue to increase their sales and accordingly their profit, as accounting for other attributes (e.g. performance, operational cost and environmental impact) leads to larger changes in the market shares and accordingly in profit.

The limitations of this research are manifested in the following points: it does not account for the impact of the marketing campaigns on the market shares; it considers the profit as a percentage of the construction cost; and it has not been validated on high-density residential buildings.

This research provides speculative builders with a platform that allows the objective evaluation of houses’ designs prior to introducing them to the market so builders can increase their market shares and consequently their profit. The proposed platform also contributes to increasing the sustainable performance of the housing industry, as it allows for the assessment of the design against economic, environmental and social attributes concurrently, which ensures a balanced consideration of the built houses on sustainability pillars.

The proposed platform for design evaluation extends the assessment attributes beyond the traditionally considered economic and environmental attributes. By doing so, it assists decision-makers in evaluating the potential social influence of the proposed design and, as a result, reduces the unwanted impact.

This research combines the concepts of multi-attribute utility with market studies to develop an objective decision support tool for evaluating the design of speculative houses to increase the sustainable performance of the builders without compromising on their profit.

The research introduces means for improving premanufacturing processes (design, procurement and bidding) by leveraging digitalisation in offsite construction. Specifically, this paper proposes a framework that provides measures for the planning and implementation of digitalisation in offsite construction by positioning building information modelling (BIM) as the key technology and lean principles to add value and reduce waste.

The paper follows the design science research approach to develop the proposed framework and attain the aforementioned objective. The developed framework includes data collection, value-stream mapping and simulation to assess current processes, develop and propose improvements. An empirical implementation is employed to demonstrate the applicability of both the framework and the measures used to evaluate the outcomes.

The application of the proposed three-stage framework resulted in 9.45%–23.33%-time reduction per year for the various improvement categories in premanufacturing phases. Employing simulation and applying the developed measures provide incentive for upper management to adopt the suggested improvements. Additionally, while the empirical implementation was tested on a modular construction company, the methods used indicate that the framework, with its generic guidelines, could be applied and customized to any offsite company.

While several studies propose that BIM-Lean integration offers an advantage in the context of production systems, this paper focuses on the initial design and planning phases, which are mostly overlooked in the literature. Moreover, the present study provides quantitative evidence of the benefits of data integration through BIM technology.

The operational phase of a building's lifecycle is receiving increasing attention, as it consumes an enormous amount of energy and results in tremendous detrimental impacts on the environment. While energy simulation can be applied as a tool to evaluate the energy performance of a building in operation, the emergence of Building Information Modeling (BIM) technology is expected to facilitate the evaluation process with predefined and enriched building information. However, such an approach has been confronted by the challenge of interoperability issues among the related application software, including the BIM tools and energy simulation tools, and the results of simulation have been seldom verified due to the unavailability of corresponding experimental data. This study aims to explore the interoperability between the commonly used energy simulation and BIM tools and verifies the simulation approach by undertaking a case study.

With Autodesk Revit and EnergyPlus selected as the commonly used BIM and energy simulation tools, respectively, a valid technical framework of transferring building information between two tools is proposed, and the interoperability issues that occur during the data transfer are studied. The proposed framework is then employed to simulate the energy consumption of a single-family house, and sensitivity analysis and analysis on such parameters as schedule are conducted for building operations to showcase its applicability.

The simulation results are compared with monitored data and the results from another simulation tool, HOT2000; the comparison reveals that EnergyPlus and HOT2000 predict the total energy consumption with a difference from the monitoring data of 8.0 and 7.1%, respectively.

This research shows how to efficiently use BIM to support building energy simulation. Relevant stakeholders can learn from this research to avoid data loss during BIM model transformation.

This research explores the application of BIM for building energy simulation, compares the simulation results among different tools and validates simulation results using monitored data.

This paper presents a newly developed algorithm for selecting and locating mobile cranes on construction sites. The algorithm is incorporated into a computer system that integrates a selection module and three databases, dedicated respectively, for cranes, rigging equipment, and projects’ information. This paper focuses primarily on the selection module and its algorithm to support an efficient search for most suitable crane configurations and their associated lift settings. Data pertinent to crane lift configurations and settings are retrieved from the databases and processed to determine the near optimum selection of a crane configuration. The developed selection module features powerful graphics capabilities and a practical user‐friendly interface, designed to facilitate the considerations of user imposed lift and site constraints. The selection algorithm has been implemented within the crane selection module using MS‐Visual Basic programming language. A case example is presented in order to demonstrate the use of the developed selection module and to illustrate its essential features.

This paper provides an overview of a recently developed system for selecting and locating mobile cranes on construction sites. The proposed system provides direct help on two fronts: cost and time savings, and improved safety arrangements. The system has a number of interesting features: a relational database designed to store the cranes' geometry‐related variables and to present them using powerful graphics; a selection module supported by an algorithm designed to satisfy geometrical requirements and necessary clearances, accounting for site constraints and lift configurations; and 3D animation to facilitate the planning of crane operations. The system provides a near‐optimum selection of crane lift configurations, considering available cranes. This paper focuses mainly on case examples to demonstrate and to illustrate the use and capabilities of the developed system. Two actual cases, featuring different site constraints and lift configurations, are presented. In these cases, cranes were selected and their operations planned using the developed system. The findings of the two cases are discussed and the benefits of the proposed methodology are highlighted.

Pipe‐spool module assembly involves a variety of uncertain factors and constraints, which complicate the assembly scheduling process. These factors also pose a challenge for the scheduler who struggles to produce a schedule that optimizes both the use of available resources (e.g. space) and meets the project's delivery deadlines. In the relatively quick production cycle of module assembly, the scheduling process plays an operative role. Thus, automation of the process would enhance productivity of the schedule updating process. This paper seeks to address this issue.

A simulation‐based approach is presented for scheduling pipe‐spool module assembly. This approach incorporates physical and logical constraints. General purpose simulation (GPS) is used to model these logical and heuristic constraints.

The application of the proposed model to an actual case study demonstrates the significant improvement in the assembly schedule when compared to traditional CPM‐based scheduling techniques.

The proposed model allows schedulers to experiment with various rules in order to improve the scheduling process by, for example, instantly updating the schedule.

The increasing percentage of aging population (longer life expectancy) and the changing financial policies in the healthcare systems put governments under pressure to optimize its healthcare expenditures without compromising quality. One way to cut down the costs is through improving and optimizing the facility management processes. This paper aims to focus on the issues surrounding this.

To demonstrate the application of the research, service management (SM) process which deals with the building services related requests from the customer, one of the facility management (FM) processes, is taken as the focus of this paper. The study applies the lean principles to the SM process to identify the value added and non‐value added activities in the process. Process logistics flow is modified to comply with the lean theory. The collected data from six participating hospitals in Germany for the two months of the year 2002 are also used as inputs for the simulation model.

Simulation is used to quantify the impact of the lean principles proposed changes on the system performance. The simulation analysis has proved to be an effective tool in the selection of optimum resources for the SM process in hospitals. The implementation of lean and simulation will assist the facility manager in the selection of the optimum crew size in various sub processes, thus eliminating the trial and error approach.

To develop a generic model for all categories of hospitals, substantial data are needed for the simulation model. In this paper, the SM process results from one category of hospitals are presented.

The methodology can be extended to the other FM processes in different hospitals, with proper modification.

The simulated process model was useful to analyze “what if” scenarios for the decision‐making regarding optimum resource allocation.

This paper aims to establish a baseline for carbon dioxide (CO₂) emissions quantification in the current residential construction process. Opportunities to reduce the environmental footprint of the homebuilding process are also identified.

CO₂ emissions of various house construction stages are quantified and utilised in a 3D building information model. This allows rapid emission computations for various house sizes, designs and materials. An intelligent database calculates emissions for different house styles with different construction processes.

Two construction stages (basement walls foundation and framing) were identified as high CO₂ emissions contributors. In addition, equipment operation on site, transportation to and from the site and heating for curing concrete were identified as the main sources of emissions during construction.

The paper addresses the limited attention given to CO₂ emissions during the actual construction process. The introduction of building information modeling for quantifying emissions in the construction process is of significant value. This research is pertinent to the international homebuilding industry and homebuyers who all have a role in mitigating CO₂ emissions.

The residential construction industry has a major share in Canada's GDP. In spite of huge spending and technical advances in the residential construction sector, the current permit approval process still adheres to traditional manual permit approval process. Consequently, this has contributed to project delays and increased monetary costs to the stakeholders associated with the process. The research presented in this paper seeks to explore key issues related to the current housing development permit approval process.

This paper describes a proposed methodology for the automation of the residential construction development permit approval process. The proposed methodology has been incorporated into a computer system that integrates a knowledge‐based expert system (KBES), database management system (DBMS), and computer‐aided design (CAD). Various concepts related to the database structures, system architecture, process flow and user interfaces are introduced and described in the context of the development permit approval process.

This paper presents a knowledge‐based prototype for the development permit approval process that can be customized as per the needs of various cities. A case study is also presented in order to demonstrate the effectiveness of the proposed method and to illustrate the implementation of the research.

The prototype is application‐independent and may be implemented anywhere in the AutoCAD environment. The research paves the way for the setting of drafting standards for the residential industry.

Prototype provides significant gains in productivity and accuracy over the current practices by minimizing the redundancies involved in the development permit approval process.