Critical BIM qualification criteria for construction pre-qualification and selection

© 2017 Informa UK Limited, trading as Taylor & Francis Group. Despite emerging research on Building Information Modelling (BIM) capability, there remain no studies that specifically look at criteria for the pre-qualification and selection of construction supply chain (CSC) firms for BIM projects. As a consequence, there is insufficient theoretical insight and empirical justification for critical BIM qualification criteria for the CSC context. In order to bridge this knowledge gap, a study was conducted to ascertain the most critical BIM capability attributes, as well as relevance to the pre-qualification and selection of suitable CSC firms for BIM-enabled projects. The relative importance of these criteria was determined based on their perceived influence on overall BIM delivery success on recent BIM-enabled projects. A sequential exploratory mixed methodological research design was adopted involving semi-structured interviews (n = 8) and a Delphi survey (n = 25) of experts, as well as a survey of CSC firms (n = 64) on BIM-enabled projects. The findings reinforce the criticality of past BIM experience in delivery success. Furthermore, it revealed that while technological infrastructure-related capacities (such as software and hardware availability) are perceived as very important qualification criteria, their actual contribution to delivery success is not as high in comparison to criteria related to previous BIM experience. This study provides insights on prioritising BIM capability criteria based on evidence on their contribution to delivery success in practice rather than their perceived importance as capability metrics

Investigating the environmental impact of reinforced-concrete and structural-steel frames on sustainability criteria in green buildings

Reducing the detrimental impact of human activities on our environment is an essential need. Buildings have a significant role in accomplishing this need, which necessitates the conduction of comprehensive research that adequately identifies the underlying factors and then seeks sustainable solutions. Green buildings have been one of the critical initiatives to lessen the negative impact of human endeavors on the environment. The structural frame is one of the most critical elements of buildings, especially owing to their impact on the environment. This study investigates how structural building frames perform according to sustainability criteria. A questionnaire was used to identify the relevant sustainability criteria, and a hybrid Delphi-SWARA model was used to determine the relative importance of eight comprehensive prioritized criteria. A building was simulated with DesignBuilder software to quantify the environmental impact of two main types of structural frames, reinforced concrete (RC) and structural steel (SS) frames, on sustainability criteria. Results illustrated that RC-framed buildings have a less detrimental impact on the environment due to less energy consumption and carbon emissions. The energy consumption in RC-framed buildings was 2.3% less in electricity consumption and 2.7 less in natural gas consumption. In addition, 88 tonnes of CO2 emission can be reduced with this type of frame in a 50-year lifecycle which is more than 5% of the total CO2 production of the building. The methodological approach used in this research introduces a novel way for decision-makers to consider the sustainability criteria in the design stage

Near-universal hospitalization of US emergency department patients with cancer and febrile neutropenia

IMPORTANCE: Febrile neutropenia (FN) is the most common oncologic emergency and is among the most deadly. Guidelines recommend risk stratification and outpatient management of both pediatric and adult FN patients deemed to be at low risk of complications or mortality, but our prior single-center research demonstrated that the vast majority (95%) are hospitalized. OBJECTIVE: From a nationwide perspective, to determine the proportion of cancer patients of all ages hospitalized after an emergency department (ED) visit for FN, and to analyze variability in hospitalization rates. Our a priori hypothesis was that >90% of US cancer-associated ED FN visits would end in hospitalization. DESIGN: Analysis of data from the Nationwide Emergency Department Sample, 2006-2014. SETTING: Stratified probability sample of all US ED visits. PARTICIPANTS: Inclusion criteria were: (1) Clinical Classification Software code indicating cancer, (2) diagnostic code indicating fever, and (3) diagnostic code indicating neutropenia. We excluded visits ending in transfer. EXPOSURE: The hospital at which the visit took place. MAIN OUTCOMES AND MEASURES: Our main outcome is the proportion of ED FN visits ending in hospitalization, with an a priori hypothesis of >90%. Our secondary outcomes are: (a) hospitalization rates among subsets, and (b) proportion of variability in the hospitalization rate attributable to which hospital the patient visited, as measured by the intra-class correlation coefficient (ICC). RESULTS: Of 348,868 visits selected to be representative of all US ED visits, 94% ended in hospitalization (95% Confidence Interval [CI] 93-94%). Each additional decade of age conferred 1.23x increased odds of hospitalization. Those with private (92%), self-pay (92%), and other (93%) insurance were less likely to be hospitalized than those with public insurance (95%, odds ratios [OR] 0.74-0.76). Hospitalization was least likely at non-metropolitan hospitals (84%, OR 0.15 relative to metropolitan teaching hospitals), and was also less likely at metropolitan non-teaching hospitals (94%, OR 0.64 relative to metropolitan teaching hospitals). The ICC adjusted for hospital random effects and patient and hospital characteristics was 26% (95%CI 23-29%), indicating that 26% of the variability in hospitalization rate was attributable to which hospital the patient visited. CONCLUSIONS AND RELEVANCE: Nearly all cancer-associated ED FN visits in the US end in hospitalization. Inter-hospital variation in hospitalization practices explains 26% of the limited variability in hospitalization decisions. Simple, objective tools are needed to improve risk stratification for ED FN patients

Harnessing Real Estate Investment through Proper Tenant Selection in Nigeria

Purpose - The main objective of investment in real estate is to derive adequate returns from its ·management; selection of suitable tenants is one of the challenges to attaining this in Nigeria. Many prospective tenants of residential properties usually appear good at the recruitment stage but often become belligerent with grave challenge to the property managers. The paper aims to examine the criteria set by property managers in selecting residential tenants in Nigeria with a view to establishing a proper process for identification of potentially bad tenants at the recruitment stage. Design/methodology/approach - The paper opted for an exploratory study with questionnaires administered to estate surveyors (professional property managers in Nigeria). Respondents were randomly selected based on Bartlett et al's model with margin of error set at 0.05, p = 0.5, and !-value= 1.96. Relative importance index analysis of the data was carried out to determine the ranking of the criteria. Findings - The paper provides insight into tenant selection through proper process using a weighted scorecard. It suggests that an application of a scorecard will reduce the incidence of bad tenancy and enable investors to derive value from investment in real estate. Research limitations/implications - The framework of tenant selection process adopted was based on criteria set by the respondents; researchers are therefore encouraged to test the applicability of the suggested weighted scorecard. Practical implications - There are implications for development of computer software using the weighted scorecard to further ease the process of tenant selection and make it an inter-disciplinary study. Originality/value - This paper identified the need for proper tenant selection to enable investors in residential property to harness adequate and remunerative return

An evaluation methodology for ergonomic design of electronic consumer products based on fuzzy axiomatic design

This article is posted with permission of OCP Science imprint. Copyright @ 2008 Old City Publishing Group.The development life cycle of software and electronic products has been shortened by the growth of rapid prototyping techniques. The evaluation of electronic consumer products should consider hardware and software as well as the ergonomic usability, emotional appeal and aesthetic integrity of the design. This research follows a systematic approach to develop an evaluation methodology for electronic mobile products on ergonomic design. The proposed methodology is based on fuzzy multi attribute decision making and fuzzy axiomatic design realized in three steps; determination of ergonomic attributes for electronic consumer products, determination of a representative set of alternatives, and selection of the best alternative in terms of ergonomic design by utilizing fuzzy axiomatic design. A case study is also provided to support the proposed methodology

Predicting with sparse data

It is well known that effective prediction of project cost related factors is an important aspect of software engineering. Unfortunately, despite extensive research over more than 30 years, this remains a significant problem for many practitioners. A major obstacle is the absence of reliable and systematic historic data, yet this is a sine qua non for almost all proposed methods: statistical, machine learning or calibration of existing models. In this paper we describe our sparse data method (SDM) based upon a pairwise comparison technique and Saaty's Analytic Hierarchy Process (AHP). Our minimum data requirement is a single known point. The technique is supported by a software tool known as DataSalvage. We show, for data from two companies, how our approach — based upon expert judgement — adds value to expert judgement by producing significantly more accurate and less biased results. A sensitivity analysis shows that our approach is robust to pairwise comparison errors. We then describe the results of a small usability trial with a practising project manager. From this empirical work we conclude that the technique is promising and may help overcome some of the present barriers to effective project prediction

QFD: an interactive algorithm for the prioritization of product's technical characteristics

The paper is concerned with the problem of the ``prioritization' ' of technical design characteristic s of a product. An interactive algorithm has been developed with the aim to better support the engineering design process by means of quality function deployment (QFD). The algorithm tries to soften customer approach to QFD in those situations in which customers are not able to give a ``significant' ' evaluation of the relative importance of their requirements . The method allows determining a ranking order of design characteristic s without the artificia l conversion of symbols contained in the relationshi p matrix, and without the use of explici t information concerning the relative degree of importance of customer requirements. A simple numerical applicatio n is also provide