Collaborative engineering decision-making for building information channels and improving Web visibility of product manufacturers

2018 ◽  
Vol 38 ◽  
pp. 264-276 ◽  
Author(s):  
Sylvain Sagot ◽  
Alain-Jérôme Fougères ◽  
Egon Ostrosi
Author(s):  
Seunghwa Park ◽  
Inhan Kim

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4100
Author(s):  
Mariana Huskinson ◽  
Antonio Galiano-Garrigós ◽  
Ángel Benigno González-Avilés ◽  
M. Isabel Pérez-Millán

Improving the energy performance of existing buildings is one of the main strategies defined by the European Union to reduce global energy costs. Amongst the actions to be carried out in buildings to achieve this objective is working with passive measures adapted to each type of climate. To assist designers in the process of finding appropriate solutions for each building and location, different tools have been developed and since the implementation of building information modeling (BIM), it has been possible to perform an analysis of a building’s life cycle from an energy perspective and other types of analysis such as a comfort analysis. In the case of Spain, the first BIM environment tool has been implemented that deals with the global analysis of a building’s behavior and serves as an alternative to previous methods characterized by their lack of both flexibility and information offered to designers. This paper evaluates and compares the official Spanish energy performance evaluation tool (Cypetherm) released in 2018 using a case study involving the installation of sunlight control devices as part of a building refurbishment. It is intended to determine how databases and simplifications affect the designer’s decision-making. Additionally, the yielded energy results are complemented by a comfort analysis to explore the impact of these improvements from a users’ wellbeing viewpoint. At the end of the process the yielded results still confirm that the simulation remains far from reality and that simulation tools can indeed influence the decision-making process.


2018 ◽  
Vol 30 (3) ◽  
pp. 63-80 ◽  
Author(s):  
Gaurav Khatwani ◽  
Praveen Ranjan Srivastava

As information technology has evolved, digital media has become increasingly fragmented and has started to proliferate multiple information channels. In order to optimize on the various digital channels that are available, organizations are increasingly recognizing the importance of gaining solid insights into consumer behavior and preferences that can be translated into marketing strategies. Specifically, they are keen to identify which information channels they can use to effectively reach and communicate with their target market. In this regard, this paper describes how multi criteria decision making can be used to develop a new method of decision making that will enable an effective and systematic decision process of fuzzy AHP and TOPSIS. Further, these techniques can be used for the developing framework for identifying consumer preferences. This paper provides a demonstration of the underpinning working methodology of the proposed model by examining an real case that is based on the decision process Internet users employ during their online search for information.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zul-Atfi Bin Ismail

PurposeThe contemporary practice of conventional maintenance for industrialised building system (IBS) constructions suffers from poor service delivery and defect repetition. A key problem impeding the widespread adoption of emerging technologies is the lack of competent contractors to support the effectiveness of the technology implemented in conventional methods and to ensure returns on investment. The shortcomings of conventional methods are assessed from the perspective of IBS buildings. This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes.Design/methodology/approachThis paper describes the establishment of key problem areas, the elements involved in implementing good practice and the requirements for integrating maintenance management processes and information databases in the maintenance management system.FindingsConventional methods have little emphasis on defect diagnosis tools. They also enhance inadequate strategic decision-making in the analysis of information when attempting to improve the maintenance project outcomes for IBS construction. The characteristics identified in a case study of IBS buildings are presented and analysed.Originality/valueThe conclusions and recommendations drawn from the analysis of the IBS case study are discussed, synthesised and deliberated upon. The approach presented in this paper integrates various aspects of building information modelling technology to facilitate improved execution of IBS maintenance activities.


Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 415-434 ◽  
Author(s):  
Nadeeshani Wanigarathna ◽  
Keith Jones ◽  
Adrian Bell ◽  
Georgios Kapogiannis

Purpose This paper aims to investigate how digital capabilities associated with building information modelling (BIM) can integrate a wide range of information to improve built asset management (BAM) decision-making during the in-use phase of hospital buildings. Design/methodology/approach A comprehensive document analysis and a participatory case study was undertaken with a regional NHS hospital to review the type of information that can be used to better inform BAM decision-making to develop a conceptual framework to improve information use during the health-care BAM process, test how the conceptual framework can be applied within a BAM division of a health-care organisation and develop a cloud-based BIM application. Findings BIM has the potential to facilitate better informed BAM decision-making by integrating a wide range of information related to the physical condition of built assets, resources available for BAM and the built asset’s contribution to health-care provision within an organisation. However, interdepartmental information sharing requires a significant level of time and cost investment and changes to information gathering and storing practices within the whole organisation. Originality/value This research demonstrated that the implementation of BIM during the in-use phase of hospital buildings is different to that in the design and construction phases. At the in-use phase, BIM needs to integrate and communicate information within and between the estates, facilities division and other departments of the organisation. This poses a significant change management task for the organisation’s information management systems. Thus, a strategically driven top-down organisational approach is needed to implement BIM for the in-use phase of hospital buildings.


2014 ◽  
Vol 584-586 ◽  
pp. 1881-1884
Author(s):  
Xuan Liu ◽  
Hai Xie

Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility. A BIM is a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle; defined as existing from earliest conception to demolition. Building Information Modeling (BIM) is a process involving the generation and management of digital representations of physical and functional characteristics of places. BIM are files (often but not always in proprietary formats and containing proprietary data) which can be exchanged or networked to support decision-making about a place. Current BIM software is used by individuals, businesses and government authorities who plan, design, construct, operate and maintain diverse physical infrastructures, from water, wastewater, electricity, gas, refuse and communication utilities to roads, bridges and ports, from houses, apartments, schools and shops to offices, factories, warehouses and etc.


2016 ◽  
Vol 8 (4) ◽  
Author(s):  
Mazura Mahdzir ◽  
Sharifah Mazlina Syed Khuzzan

The slow adoption of new technology within construction SMEs is influenced by the capability of managers in making decisions. Therefore, this paper aims to report the development of a conceptual framework related to managers’ decision making capability in adopting technological innovation; specifically referring to Building Information Modelling (BIM). The primary data collection involves semi-structured interview, while the multiple-case (holistic) design was used for developing the managerial decision making capability framework.. The development of the framework was analysed using comparative analysis (cross-case ) of thirteen (13) top managers within the construction SMEs organisations. Comparisons were made between existing theories and new concepts raised by top managers. The findings revealed that  regardless of various views obtained from top managers, the adoption of BIM software has been influenced by managerial non-behavioural and behavioural capability, that have been categorised into five (5) main themes.


2019 ◽  
Vol 11 (9) ◽  
pp. 2507 ◽  
Author(s):  
Patricia Tzortzopoulos ◽  
Ling Ma ◽  
João Soliman Junior ◽  
Lauri Koskela

The UK government made significant commitments to upgrading the energy efficiency of seven million British homes by 2020, aiming at reducing carbon emissions and addressing fuel poverty. One alternative to achieve better energy performance in existing houses is retrofit. However, there are difficulties associated with retrofitting social housing. It is currently challenging to compare scenarios (retrofit options) considering costs, potential energy efficiency gains, and at the same time minimising disruption to users. This paper presents a Building Information Modelling (BIM) protocol aimed to support decision making by social housing owners. It adopts BIM to simulate alternative retrofit options, considering: (a) potential reductions in energy consumption, (b) 4D BIM for retrofit planning and reduction of users’ disruption and (c) simulation of costs. A what-if scenario matrix is proposed to support decision making in the selection of social housing retrofit solutions, according to client and users’ needs. A case study of the retrofit of a mid-terrace house is presented to demonstrate the workflow. The main output of the work is the BIM protocol, which can support client decision making in diverse social housing retrofit projects, considering all three elements (energy simulation, planning for reduced disruption and cost estimation) in an integrated fashion. Such an integrated approach enables clients to make better informed decisions considering diverse social housing retrofit options through a simple process using readily available BIM technology.


2017 ◽  
Vol 6 (2) ◽  
pp. 14-35 ◽  
Author(s):  
Mohamed Marzouk ◽  
Eslam Mohammed Abdelkader

The construction industry is regarded as a major contributor to environmental emissions, due to extensive usage of resources and the waste products produced. This article presents a building information modeling (BIM)-based model that is capable of measuring six types of emissions for different activities of construction projects. The paper investigates eight multi-criteria decision-making (MCDM) techniques for ranking alternatives based on project time; project life cycle cost; project environmental impact; and primary energy consumed by different activities. Three group decision- making techniques are performed to provide consensus and final ranking of alternatives. The Monte Carlo simulation is implemented in order to account for the discrepancy in the calculation of greenhouse gases produced from buildings. Also, a case study of academic buildings is introduced in order to demonstrate the practical features of the proposed model.


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