基于“熵权+TOPSIS”法的石油库安全管理绩效评价研究

结合石油库的特点,建立了以人员因素、设备设施管理、储存介质状态、环境因素及管理因素等5项一级指标、20项二级指标的安全管理绩效评价体系;为克服安全管理绩效评价的主观随意性,采用“熵权+TOPSIS”法构建了评价模型,以10家石油库企业所采集的信息为算例,对石油库安全管理绩效评价进行了实例研究,结果表明“熵权+TOPSIS”法评价模型有效改善了评价结果的客观性和可靠度,可帮助石油库企业及时发现安全管理短板,明确改进方向,提升安全管理绩效水平。     

A framework based on fuzzy AHP-TOPSIS for prioritizing solutions to overcome the barriers in the implementation of ecodesign practices in SMEs

Small and medium enterprises (SMEs) are under pressure to adopt sustainable practices in their business due to increasing environmental challenges. This study aims to identify and prioritize the solutions to overcome the barriers in the implementation of ecodesign practices in SMEs. This study helps the companies to develop and implement the strategies on priority using higher ranked solutions. In this study, a framework is proposed that is based on fuzzy analytical hierarchy process and fuzzy technique for order preference by similarity to ideal solution to rank the solutions that overcome the barriers in ecodesign implementation in SMEs. The proposed framework is illustrated by conducting a case study of an Indian ring and piston manufacturing company. This framework provides an effective support in the decision-making of the company for producing eco-friendly products through the implementation of ecodesign practices. Results of this study emphasize that training of designers to use different ecodesign tools is an essential practice for SMEs.     

基于层次分析法的石油污染土壤修复植物评价

为解决石油污染土壤原位修复时出现的修复植物选取工作量大、耗时长等问题,采用层次分析法和优劣解距离法建立了一套石油污染土壤修复植物评价体系,结合四川长宁页岩气井场现状,在使用层次分析法确定了各指标权重的基础上,利用优劣解距离法对初始备选植物进行排序;并利用权重敏感性分析和室内试验校核。结果表明,排序与试验结果基本一致,该评价体系具有可行性。     

基于改进TOPSIS模型的西部河谷型城市生态安全时空分异及障碍因子诊断

西部河谷型城市生态安全及障碍因子诊断对协调西部地区城市生态环境保护与社会经济产业持续发展具有重要意义。基于PSR模型集成改进TOPSIS和障碍度诊断模型,选取2005-2015年西部地区20个典型河谷型城市为评价单元,对生态安全系统时空演化规律及障碍因子进行实证分析。结果表明:1)西部河谷型城市生态安全水平整体呈上升趋势,但总体处于临界安全级(Ⅲ)水平;2)生态安全呈西高东低、北高南低的空间格局特征,生态安全空间差异性明显,但随着时间推移,各城市生态安全差异有缩小趋势,生态安全水平下降的城市数量在减少,生态安全水平上升的城市数量在增加;3)准则层中用地状态和经济响应是制约生态安全的主要障碍因子,指标层中环保投入占财政支出比重、人均公园绿地面积、人均水资源占有量、人均耕地面积、人均城市道路面积、科技投入占财政支出比重、城镇化水平7项因子成为主要的障碍因子。因城市规模不同,西部河谷型城市生态安全主要障碍因子变化特征不一。     

Modeling and optimization of turning duplex stainless steels

The attractive combination of high mechanical strength, good corrosion resistance and relatively low cost has contributed to making duplex stainless steels (DSSs) one of the fastest growing groups of stainless steels. As the importance of DSSs is increasing, practical information about their successful machining is expected to be crucial. To address this industrial need, standard EN 1.4462 and super EN 1.4410 DSSs are machined under constant cutting speed multi-pass facing operations. A systematic approach which employs different modeling and optimization tools under a three phase investigation scheme has been adopted. In phase I, the effect of design variables such as cutting parameters, cutting fluids and axial length of cuts are investigated using the D-Optimal method. The mathematical models for performance characteristics such as; percentage increase in radial cutting force (%F_r), effective cutting power (P_e), maximum tool flank wear (VB_max) and chip volume ratio (R) are developed using response surface methodology (RSM). The adequacy of derived models for each cutting scenario is checked using analysis of variance (ANOVA). Parametric meta-heuristic optimization using Cuckoo search (CS) algorithm is then performed to determine the optimum design variable set for each performance. In the phase II, comprehensive experiment-based production cost and production rate models are developed. To overcome the conflict between the desire of minimizing the production cost and maximizing the production rate, compromise solutions are suggested using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The alternatives are ranked according to their relative closeness to the ideal solution. In the phase III, expert systems based on fuzzy rule modeling approach are adopted to derive measures of machining operational sustainability called operational sustainability index (OSI). Artificial neural network (ANN) based models are developed to study the effect of design variables on computed OSIs. Cuckoo search neural network systems (CSNNS) are finally utilized to constrainedly optimize the cutting process per each cutting scenario. The most appropriate cutting setup to ensure successful turning of standard EN 1.4462 and super EN 1.4410 for each scenario is selected in accordance with conditions which give the maximum OSI.     

基于TOPSIS的城市经济与环境协调发展评价—以上海市为例

经济与环境的协调发展引起了越来越多的关注。本文基于TOPSIS法及协调发展度评价模型对上海市2003~2012年经济与环境协调发展度的时间演变进行了评价。结果表明:(1)上海市经济与环境协调发展水平在逐步提高,其协调发展类型从初期的失调衰退类过渡到亚协调发展类,进而步入到协调发展类。(2)2004年与2007年是上海市经济与环境协调发展的重要年份,2004年是上海市从失调类转为亚协调发展类的过渡年,2007年是上海市从亚协调发展类转为协调发展类的过渡年。(3)在经济-环境系统的内部关系中,2005年之前,环境发展优于经济发展,其后环境发展劣于经济发展。     

“一带一路”倡议背景下哈萨克斯坦地区综合脆弱性的空间分异特征分析

系统评估沿线国家环境社会系统的发展状态,识别典型地区的脆弱性特征,对于绿色"一带一路"建设至关重要。本文集成了脆弱性与恢复力的概念内涵,构建了综合脆弱性评价指标体系,利用TOPSIS法和障碍度模型对哈萨克斯坦各州的综合脆弱性进行系统评价,分析其空间分异特征和影响因素。结果显示:(1)哈萨克斯坦综合脆弱性总体上处于中度水平,空间上呈现西高东低的特点,西部各要素脆弱性均处于中高位,东部整体脆弱性相对较低,中部则呈现多样性特征;(2)要素间关系复杂,脆弱性降低的瓶颈因素主要集中在资源使用和保障、社会系统保障等方面;(3)系统提升哈萨克斯坦环境社会系统的韧性,需要强化产业结构转型、基础设施建设与生态环境保护,在这些方面中国可以提供强有力的合作条件与经验。     

化工园区应急物资需求决策模型研究

为实现化工园区高效应急救援,针对化工园区应急物资需求及特点,从基本物资需求量、应急物资消耗量、应急物资损耗量3个方面,构建化工园区应急物资需求优先级指标体系;基于TOPSIS方法对各应急物资需求进行重要性分级排序,设计求解出应急物资需求量的BP神经网络预测模型。以化工园区历史事故案例进行分析,结果表明,BP神经网络应急物资需求预测结果和实际应急物资需求量相差很小,结合TOPSIS方法后的应急物资需求分级决策方案,能有效辅助应急物资的组织和调度,最大限度地发挥应急效用。     

A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider

Return of used products is becoming an important logistics activity due to government legislation and increasing awareness among the people to protect the environment and reduce waste. For industries, the management of return flow usually requires a specialized infrastructure with special information systems for tracking and dedicated equipment for the processing of returns. Therefore, industries are turning to third-party reverse logistics providers (3PRLPs). In this study, a multi-criteria group decision-making (MCGDM) model in fuzzy environment is developed to guide the selection process of best 3PRLP. The interactions among the criteria are also analyzed before arriving at a decision for the selection of 3PRLP from among 15 alternatives. The analysis is done through Interpretive Structural Modeling (ISM) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). Finally the effectiveness of the model is illustrated using a case study on battery manufacturing industry in India.     

基于灾害风险理论的岩溶区建设项目地下水污染风险评价

为研究岩溶地区建设项目的地下水污染风险,引入灾害风险理论确定地下水污染风险是由地下水脆弱性和建设项目污染负荷危险性两方面共同决定,并构建了地下水污染风险指标体系。采用模糊层次分析法确定各指标权重,选择TOPSIS模型进行脆弱性和危险性等级的判断,最后依据风险等级分区矩阵确定地下水污染风险评价等级。以贵州西北地区某火电厂项目进行地下水污染风险评价实例应用,结果表明该项目地下水污染风险等级为"较高",主要因素为该地区地下水含水层脆弱性"较高",评价结果符合实际,具有一定应用价值。