民营中小企业安全文化建设探讨

企业安全文化建设对于企业安全管理起着至关重要的作用,民营中小企业作为我国经济体系的生力军,其安全管理工作必须注入新的安全管理理念、理论和方法。分析了民营中小企业安全文化建设的制约因素,在基于"本质安全、目标统一和全员参与"三个原则的基础上,初步构建由观念文化、制度文化、行为文化和物态文化四部分组成的民营中小企业安全文化建设框架,并提出相应的建设方法,对于民营中小企业的安全发展有着极其重要的意义。     

超声波探伤技术中的波高百分比法的认识

对波高百分比探伤方法的认识,本文将该方法的基本理论、标准规定波幅关系以及在超声探伤中该方法的技术做一概略介绍。     

中国航油HSE管理体系建设实践

本文阐述了HSE管理体系建立的过程,对中国航油建立HSE管理体系的组织方法和质量控制措施进行了陈述,探讨了科学控制和精细化管理在企业HSE管理体系建设过程中的作用。提出适合国内石油企业的HSE管理体系建设控制方法,以最大限度的建立适宜有效的HSE管理体系。     

Perceived importance of sustainability dimensions in the Portuguese metal industry

The growing interest of stakeholders regarding the contribution of organizations to Sustainable Development is influencing organizational behavior and strategic planning. The purpose of the present paper is to analyze the perception of the importance of organizational sustainability dimensions in a relevant economic sector: the metal industry. Survey data was collected from a sample of 211 Portuguese industries, and non-parametric statistical tests were used to validate five research hypotheses regarding the importance of the economic, environmental, social and cultural dimensions of sustainability. The results obtained demonstrate awareness of the sampled industries regarding all sustainability dimensions, recognizing that their importance has been increasing over the years, and prospecting that this importance will continue to increase in the future. The industries in this sample revealed different degrees of perceived importance for the different sustainability dimensions: the highest importance was given to the economic dimension, and culture was considered the least important sustainability dimension. However, the perception of the respondents is that these differences will be less relevant in the future. The results also show that companies with certified management systems reveal a higher perceived importance regarding sustainability dimensions. Also, industries with higher values of annual turnover, number of employees and export sales tend to give higher degrees of importance to sustainability dimensions. Considering the economic, environmental and social impacts of metal industries at an international level, the awareness of this industrial sector regarding the importance of sustainability is a relevant step to the commitment towards Sustainable Development.     

The business case for SDGs: an analysis of inclusive business models in emerging economies

In September 2015, the Sustainable Development Goals (SDGs) were endorsed by the United Nations and adopted by all 193 Member States. The SDGs integrate the 5P’s: People, Planet, Prosperity, Peace, and Partnership and clearly stress the need for all stakeholders to collaborate to create a sustainable world. Most importantly, the SDGs appeal to the central and diverse role that the business sector can play to deliver on the SDGs. This paper provides an analysis of inclusive business (IB) models as market-based solutions to contribute to the achievement of the SDGs and benefit those at the Base of the Pyramid (BoP). We investigate the IB models and their social impact in 20 organizations from emerging economies across five different sectors. The findings should help increase the uptake and scale of quality IB models and practices among the private sector, development communities, and governments to promote inclusive economic growth and social impact.     

Estimating resource utilization demands in implementing statewide screening,brief intervention,and referral to treatment for alcohol-impaired drivers

Objectives: The Alcohol Use Disorders Identification Test (AUDIT) is used to assess the level of alcohol use/misuse and to inform the intensity of intervention delivered within screening, brief intervention, and referral to treatment (SBIRT) programs. Policy initiatives are recommending delivery of SBIRT within health care settings to reduce alcohol misuse and prevent alcohol-impaired driving. Recent reports are considering extending delivery of SBIRT to criminal justice settings. One consideration in implementing SBIRT delivery is the question of resource utilization; the amount of effort required in delivering the 4 different intensities of intervention in SBIRT: Alcohol education, simple advice, brief counseling and continued monitoring, and brief counseling and referral to specialist (from least to most intense in terms of delivery time, the skill level of the provider, and personnel resources).

Methods: In order to inform expectations about intervention intensity, this article describes the AUDIT scores from 982 adults recently arrested for alcohol-impaired driving. The distribution of scores is extrapolated to state rates for individuals arrested for alcohol-impaired driving by intervention level.

Results: Though alcohol education was the most common intervention category, about one quarter of the sample scored in a range corresponding with the more intensive interventions using the brief counseling, continued monitoring for ongoing alcohol use, and/or referral to specialist for diagnostic evaluation and treatment.

Conclusions: This article provides local distribution of AUDIT scores and state estimates for the number of individuals scoring in each level of risk (AUDIT risk zone) and corresponding intervention type. Routine criminal justice practice is well positioned to deliver alcohol screening, education, simple advice, and continued alcohol monitoring, making delivery of SBIRT feasible for the majority of alcohol-impaired drivers. Challenges to implementing the full range of SBIRT services include resource demands of brief counseling, identifying the appropriate providers within a criminal justice context, and availability of community providers for referral to diagnostic and specialty care. Solutions may vary by state due to differences in population density and incidence rates of alcohol-impaired driving.     

Exploration of relationships between safety performance and unsafe behavior in the Chinese oil industry

Safety performance is comprised of two components, safety compliance and safety participation. However, relationships between safety performance and unsafe behavior have not been thoroughly investigated. In this work, scales for safety compliance and safety participation were revised for use in the oil industry, and job burnout scale was developed on the basis of the Maslach Burnout Inventory-General Survey (MBI-GS). A structural equation model was then employed to investigate the interactions of these factors for 238 front-line oil workers from the PetroChina Huabei Oilfield Company in China. From the results, it was determined that workers' unsafe behavior could not be reduced significantly solely from these two dimensions of safety performance. Compared with safety participation, safety compliance was found to have a greater influence on unsafe behavior. However, job burnout was found to be a significant moderator between these two components and unsafe behavior. Furthermore, it was determined that oil workers' occupational psychological health conditions must be taken into account to improve organizational safety management and reduce workers’ unsafe behavior.     

Factors associated with driving under the influence of alcohol

Objective: This study examined the risk factors of driving under the influence of alcohol (DUI) among drivers of specific vehicle categories (DSC). On the basis of this research, the variables related to DUI and involvement in traffic crashes were defined. The analysis was conducted for car drivers, bicyclists, motorcyclists, bus drivers, and truck drivers.

Method: The research sample included drivers involved in traffic crashes on the territory of Serbia in 2016 (60,666). Two types of analyses were conducted in this study. Logistic regression established the correlation between DUI and DSC and the The Technique for Order of Preference by Similarity to Ideal Solution (Multi-criteria decision making) method was applied to consider the scoring and explore the potential for the prevalence of DUI on the basis of 2 data sets (DUI and non DUI).

Results: The study results showed that driver error and male drivers were the 2 most significant risk factors for DUI, with the highest scores and potential for prevalence. The nonuse of restraint systems, driver experience, and driver age are the factors with a significant prediction of involvement in an accident and an insignificant prediction of DUI.

Conclusions: Following the development of the logistic prediction models for DUI drivers, testing of the model was conducted for 3 control driver groups: Car, motorcycle, and bicycle. The prediction model with a probability greater than 50% showed that 77% of car drivers were under the influence of alcohol. Similarly, the prediction percentage for motorcyclists and bicyclists amounted to 71 and 67%, respectively. The recommendation of the study is that drivers whose DUI probability is above 50% should be potentially suspected of DUI. The results of this study can help to understand the problem of DUI among specific driver categories and detect DUI drivers, with the aim of creating successful traffic safety policy.     

Minimizing the cost of translocation failure with decision‐tree models that predict species’ behavioral response in translocation sites

The high number of failures is one reason why translocation is often not recommended. Considering how behavior changes during translocations may improve translocation success. To derive decision‐tree models for species’ translocation, we used data on the short‐term responses of an endangered Australian skink in 5 simulated translocations with different release conditions. We used 4 different decision‐tree algorithms (decision tree, decision‐tree parallel, decision stump, and random forest) with 4 different criteria (gain ratio, information gain, gini index, and accuracy) to investigate how environmental and behavioral parameters may affect the success of a translocation. We assumed behavioral changes that increased dispersal away from a release site would reduce translocation success. The trees became more complex when we included all behavioral parameters as attributes, but these trees yielded more detailed information about why and how dispersal occurred. According to these complex trees, there were positive associations between some behavioral parameters, such as fight and dispersal, that showed there was a higher chance, for example, of dispersal among lizards that fought than among those that did not fight. Decision trees based on parameters related to release conditions were easier to understand and could be used by managers to make translocation decisions under different circumstances. Minimizar el Costo del Fracaso de la Reubicación con Modelos de Árboles de Decisión que Predigan la Respuesta Conductual de la Especie en los Sitios de Reubicación     

基于改进TOPSIS的受灾点需求紧迫性分级研究

地震发生初期,各受灾点对物资需求的紧迫性存在差异。在应急资源有限的情况下,为提高救援效率,应急资源需要按照受灾点需求紧迫性优先级进行分配和调度。首先,构建了受灾点需求紧迫性评价指标体系,并采用博弈论方法将熵权法和层次分析法相结合,确定权重组合系数及各评价指标综合权重。其次,利用马氏距离和灰色关联分析改进TOPSIS方法,建立了受灾点应急物资需求紧迫性分级模型。最后,将模型应用于受灾点应急物资需求紧迫性分级研究,并将该评价结果与传统TOPSIS法的评价结果进行比较,结果表明,该评价方法可以科学、客观地确定权重组合系数,消除指标间相关性,使评价结果符合实际情况,表明该评价方法科学、可行、有效,能为应急救援物资配送提供有效支持和决策。