A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry

Abstract

Managing occupational safety in any kind of industry, especially in processing, is very important and complex. This paper develops a new method for occupational risk assessment in the presence of uncertainties. Uncertain values of hazardous factors and consequence frequencies are described with linguistic expressions defined by a safety management team. They are modeled with fuzzy sets. Consequence severities depend on current hazardous factors, and their values are calculated with the proposed procedure. The proposed model is tested with real-life data from fruit processing firms in Central Serbia.     

城市内涝灾害应急救援指派模型

为实现应急救援队伍的合理派遣以快速营救受困人员,根据城市内涝灾害特点、城市内涝灾害情况和救援资源的分布,综合考虑应急救援队伍的救援效率、救援可靠性、救援时间等因素,构建多目标应急救援指派模型。运用模糊数学思想,将各目标下的属性值矩阵转化为模糊关系矩阵。针对优化模型的特点,采用反点法对模型进行求解。为证明反点算法的可行性,采用标准匈牙利算法对模型进行求解并加以验证。算例结果表明,多目标优化方案可以进行良好的任务分配,可满足应急救援任务的需要。     

基于碳排放的秦皇岛市工业产业结构优化研究

根据联合国政府间气候变化专门委员会推荐的方法,计算了秦皇岛市工业行业2005-2010年的能源消费碳排放。秦皇岛市工业效益偏低,重工业比例偏大和以煤炭为主的能源结构是碳排总量和碳排放强度的主要驱动力。改造提升传统主导产业,做强装备制造业,加快工业园区建设,完善产业链,改善能源结构等是秦皇岛市工业产业结构优化的主要途径。     

大气环境因素与腐蚀速率的模糊聚类分析

本文针对我国8个典型大气环境试验站的环境因素数据与基础金属腐蚀数据。采用模糊聚类方法对15项环境因素进行分类,探讨各项环境因素之间的相关性。分析结果表明：有4项环境因素对基础金属腐蚀等级的影响性较高。     

基于因果模糊聚类法预测覆岩裂隙带高度研究

为了研究不同采高、煤层倾角、岩石抗压强度、岩层结构、采空区斜长、埋深等因素影响下采空区覆岩裂隙带高度发育规律,对收集的实测数据进行因果模糊聚类分类、分析,对各个类别,代入裂隙带高度接近均值的实测数据运算,获得各个因素对裂隙带高度影响合适的权重,进而建立对应的特征模糊集,并构造对应的三角模糊数,最终建立模糊预测模型。通过案例分析对模糊预测模型进行了验证,结果表明其误差范围为0.83-2.70m,满足工程应用的精度需求。     

水夹点技术用于石化行业水网络优化研究

运用水夹点技术,对某石化企业进行用水网络优化研究。在流量恒定和流量改变两种条件下,对某石化企业13个用水操作原有用水网络进行初始设计和优化改进。结果表明,在流量恒定和流量改变条件下,通过用水网络初始设计节约新鲜水用量分别为17.17%和13.72%,对初始设计用水网络的优化设计可简化用水网络,回用管路数分别由14条和16条减少为11条和8条,优化后的用水网络分别节约新鲜水用量17.25%和14.81%。水夹点技术在工业用水节约和废水减量方面具有实用价值和较好的应用前景。     

模糊控制在湿法脱硫烟气系统中的应用

介绍了石灰石-石膏湿法脱硫装置烟气系统的设计情况,重点讲述了增压风机动叶的控制,针对增压风机动叶系统时滞、非线性等特点,常规PID控制效果并不理想,设计出模糊控制器,仿真后证明了理论的正确性。     

快速模拟退火组合优化法在区域水环境质量评价中的应用

以地表水环境质量准标为基础,设定水体污染物的基准值,构建用于水体的一种环境质量评价的模型,利用快速模拟退火组合优化法对相关参数进行优化,而得到一个对多种水污染物都适用的综合水体环境质量评价指数公式。该公式形式简单,计算容易,评价结果具有可比性。     

An integrated assessment method of urban drainage system:A case study in Shenzhen City,China

In recent years, the urban drainage system in China is facing the dual pressure of renovation and construction. This requires that the integrated assessment for the planning and operation of the urban drainage system is obligatory. To evaluate the urban drainage system, an integrated assessment methodology based on the analytic hierarchy process (AHP), integrated simulation, and fuzzy assessment is established. This method is a multi-criteria decision adding app roach to the assessment of the urban drainage system comprehensively. Through the integration of the Storm Water Management Model (SWMM), a simple wastewater treatment plant model, and a surface water quality model, an integrated modelling system for the urban drainage system is developed and applied as a key tool for assessment. Using the established method, a case study in Shenzhen City has been implemented to evaluate and compare two urban drainage system reno vation plans, the distributed plan and the centralized plan. Because of the particularity of this case study, the established method is not applied entirely. Considering the water environ mental impact, ecological impact, technological feasibility, and economic cost, the integrated performance of the distri buted plan is better. As shown in this case study, the proposed method is found to be both effective and practical.     

Developing a fuzzy linear programming model for locating recovery facility in a closed loop supply chain

In this research a closed loop supply chain is designed which incorporates reverse logistics and forward logistic system simultaneously. In the design of reverse logistic system, recovery options are embedded in traditional supply chain for treating returned products. The recovery system includes collection centres, remanufacturing plants and disposal centres. Since the product return is supply driven, there is an uncertainty about it. In the proposed configuration for closed loop supply chain, the optimised configuration for supply chain in terms of locating recovery plants is developed. Accordingly, a fuzzy mixed integer linear programming model develops to deal with the uncertainty of returning products by customers. A general-purpose solver (LINGO 8.0) and a Meta heuristic approach (genetics algorithm) are implemented to solve the proposed model. The answers are compared by defining indexes and then the optimal answer, configuration and variables are identified. This solution will suggest a new design of supply chain network in which waste of materials is minimised and the new raw materials are necessary only when the used products may not be recovered by recovery options.