Exploring the relationship between unethical practices,buyer–supplier relationships and green design for sustainability

Sustainable procurement practices have gained popularity amongst both researchers and supply chain practitioners. However, ethical practices in sustainable procurement have been the topic of discussion in the recent years. The goal of the study is to scientifically build a green procurement framework by exploring relationship between buyer–supplier relationships, unethical practices and green design for sustainability. The study was conducted considering samples from South African steel and engineering sector. Data show high rate of wastages and losses occurring at various stages of steel and engineering supply chains. Every steel and engineering company aims to reduce such losses for improving their profitability and achieve sustainability. The empirical findings show that such wastage and losses can be minimised through efficient eco-design and involvement of key suppliers at the design stage so that disassembly, recycling and reuse options not only prove successful but as well cost-effective for the organisation. Also we find that buyer deceitful practices are a strong determinant of green design for sustainability. Buyers making up a second source of supply for green components and preferring green suppliers being approved by top management is helpful for mitigation of supply risks under green procurement process. The present study is distinctive in terms of coverage and its contribution to supply chain theory.     

区域定量风险评价方法及其在化工园区中的运用

介绍区域定量风险评价的基本原理和评价指标,建立风险计算模型,给出定量风险评价的程序,提出区域定量风险评价方法;利用开发的个人风险计算软件,对某化工园区中区域风险进行了评价;通过分析计算,给出了该区域的个人风险等值线分布图和社会风险图;结果表明,园区中3家企业的重大危险源需进一步采取措施降低风险,使该化工园区的个人风险和社会风险符合推荐标准的要求。该方法为全面了解化工园区风险提供了理论依据,对化工园区装置的布置和科学规划具有重要的指导意义。     

Network and system diagrams revisited: Satisfying CEA requirements for causality analysis

Published guidelines for Cumulative Effects Assessment (CEA) have called for the identification of cause-and-effect relationships, or causality, challenging researchers to identify methods that can possibly meet CEA's specific requirements. Together with an outline of these requirements from CEA key literature, the various definitions of cumulative effects point to the direction of a method for causality analysis that is visually-oriented and qualitative. This article consequently revisits network and system diagrams, resolves their reported shortcomings, and extends their capabilities with causal loop diagramming methodology. The application of the resulting composite causality analysis method to three Environmental Impact Assessment (EIA) case studies appears to satisfy the specific requirements of CEA regarding causality. Three “moments” are envisaged for the use of the proposed method: during the scoping stage, during the assessment process, and during the stakeholder participation process.     

酚类化合物在模拟海水中的生物耗氧特性及其构效相关研究

测定了10种酚类化合物在模拟海水中的ρ(BOD5),并采用一阶价分子连接性指数(1XV)、二阶价分子连接性指数(2XV)、辛醇-水分配系数(lg KOW) 、分子最高占据轨道能(EHOMO)、分子最低空轨道能(ELUMO)和分子偶极距(μ)作为受试化合物的分子结构参数进行构效相关(QSAR)分析.结果表明:在初始质量浓度相同的情况下,烷基酚类化合物的ρ(BOD5)随着取代烷基的增大而减小.同一取代基取代位置不同,ρ(BOD5)也不同.对于同一取代位置,甲基酚的ρ(BOD5)要大于氨基酚.空间参数是影响酚类化合物在模拟海水中耗氧特性的主要因素,化合物的亲脂性对ρ(BOD5)的影响也不容忽视,而电性效应对酚类化合物在模拟海水中ρ(BOD5)的影响表现得并不明显.      

原油集输联合站故障树分析研究

采用故障树分析法对原油集输联合站生产工艺流程和危险危害因素进行分析,确定原油集输联合站的故障树因素表,以该站故障为顶上事件,以火灾爆炸、介质泄漏、其他危险作为故障树的中间事件,建立联合站故障树。通过定性定量分析,求取联合站故障树的最小割集为77组,进而确定故障树顶事件的事故发生概率为5.68×10-3和底事件结构重要度,得出影响集输联合站安全性的重要因素为通风不良、储罐密封不良、液体腐蚀、盘管穿孔和人员误操作等。因而提出加强原油集输联合站安全监察和监控措施,及时地发现和处理故障,以提高联合站运行安全可靠性和生产效率。     

人的不安全行为对高危行业从业人员安全评价的影响研究

从危险源、事故隐患的理念出发,定义安全工程中"不安全人"的概念;提出了某些从业人员由于生理心理上的影响,因而有其不可控制性;存在着不可控制的隐患,需要进行基于定量方法的测量、辨识和评估。在现代安全工程需要安全评价的基础上,建立一套全新的针对高危行业从业人员的安全评价方法,是对目前的安全评价的有益补充。     

危险品区多米诺效应的风险分析

根据多米诺效应的特点,提出了一种针对危险品区域的多米诺效应的风险分析方法.通过多米诺效应事故场景的辨识、设备的概率损坏模型和多米诺分析技术,分析区域内所有危险设备的多米诺效应风险指数和设备在多米诺事故链中的传播作用,定量分析多米诺事故后果.通过该方法可以得到区域内设备的多米诺效应风险指数和多米诺事故的后果风险.通过该方法可建立起区域的安全防范措施,从而有效预防潜在的多米诺效应,降低事故风险.     

SWOT量化分析古村落旅游可持续发展战略

目前国内普遍应用传统的SWOT分析法来制定发展战略,而传统SWOT分析法只是进行定性的分析,分析的结果过于随意和主观。本文提出结合AHP法、专家评分法和四维坐标系战略重心定位法,对传统SWOT分析法进行改进,并结合苏州太湖国家旅游度假区古村落旅游可持续发展战略制定的实例来阐述该方法的应用。     

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake： A S-year study

Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions. However, it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity. To elucidate relationships between them, in a eutrophic shallow lake, Taihu Lake, relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity. The results indicate that water temperature and total phosphorus （TP） played governing roles in phytoplankton dynamics in most seasons （i.e. temperature in winter, spring and summer; TP in spring, summer and autumn）; COD （chemical oxygen demand） and BOD （biological oxygen demand） presented significant positive relationships with phytoplankton biomass in spring, summer and autumn. However, a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn, and conversely negative ones in summer. As the predatory factor, zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season. Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were obser,qed between phytoplankton biomass and pH, Trans （transparency of water） and DO. The results indicate that interactions between phyto：plankton biomass and related environmental variables are highly sensitive to seasonal periodicity, which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability, and hence, advances management methods for eutrophic lakes.