Eco-efficiency in extended supply chains: a case study of furniture production

This paper presents a methodology about how eco-efficiency in extended supply chains (ESCs) can be understood and measured. The extended supply chain includes all processes in the life cycle of a product and the eco-efficiency is measured as the relative environmental and value performance in one ESC compared to other ESCs. The paper is based on a case study of furniture production in Norway. Nine different environmental performance indicators are identified. These are based on suggestions from the World Business Council for Sustainable Development and additional indicators that are shown to have significant impacts in the life cycle of the products. Value performance is measured as inverse life cycle costs. The eco-efficiency for six different chair models is calculated and the relative values are shown graphically in XY-diagrams. This provides information about the relative performance of the products, which is valuable in green procurement processes. The same method is also used for analysing changes in eco-efficiency when possible alterations in the ESC are introduced. Here, it is shown that a small and realistic change of end-of-life treatment significantly changes the eco-efficiency of a product.     

面向环境的精益供应链管理

当前,资源紧张和环境恶化已成为全球性的两大难题.在有效控制生产成本的同时,将资源浪费和环境污染降至最低,已成为企业可持续发展的必然选择.文章简介了绿色制造和精益生产的基本内涵,分析了面向环境的精益供应链的构建原则,提出了一种面向环境的精益供应链结构模型,并分析了其运作机制.     

基于马尔科夫链-多目标模型的应急供应链决策优化研究

为应对洪涝、新冠肺炎疫情等突发灾难,提出供应物资满足率最大、供应时间最短、供应成本最低的离散时间马尔科夫链-多目标规划模型(DTMC-MOP),动态地识别、分析、应对应急供应链风险;采用改进自适应NSGA-Ⅱ算法求解优化模型,并通过标准测试函数进行测试与评价,验证模型的可行性和有效性;通过算例分析,获得精度更高、分布更均匀的Pareto最优前沿。研究结果表明：决策者可以依据应急管理核心目标或不同偏好选择相适应的应急方案,研究结果可为应急供应链决策优化提供1种科学方法,对保障灾民生命安全、维护社会和谐稳定具有积极意义。     

重大疫情下冷链应急物流协同配送决策博弈分析

为提高重大疫情下冷链应急物流协同配送效率,以尽可能短的时间满足疫区冷链物资需求,采用演化博弈理论构建冷链应急医疗物资协同配送决策的演化博弈模型,并将感染病毒风险系数及损失引入模型,分析冷链应急医疗保障部门与冷链物流企业配送策略选择问题。结果表明:在感染病毒风险系数一定的情况下,演化主体最终是否趋向高效策略和积极合作策略,与冷链应急医疗保障部门的投入运营维护成本、物流企业积极合作增值放大系数、积极合作的社会声誉及形象增值、正常运营经济收益等因素有直接关系。在运营维护成本增大和收益减少情景下,冷链应急医疗保障部门策略呈现波动性。研究结论可为重大疫情下冷链应急医疗物资协同配送提供参考。     

Systematic incorporation of inherent safety in hazardous chemicals supply chain optimization

Increasing globalization has made many chemical supply chains large, interdependent and complex. Process incidents often affect the reliability of a supply chain and can cause large disruptions at different segments of the industry. We propose an optimization-based framework that systematically takes into account the trade-offs between process safety and supply chain economics for decision-making. We quantify the hazard at various supply chain echelons in the form of a safety index that takes both fire and toxic hazards into account. A mixed-integer nonlinear programming (MINLP)-based model is developed to either maximize profit for specified hazard limits, or to minimize hazard in a supply chain with multiple production plants, technological options, warehouses and distribution nodes. The MINLP model is used to generate trade-off optimal solutions for various toxic and fire hazard limits. The framework is demonstrated by applying it to an end-to-end ammonia supply chain case study which resulted in several non-intuitive observations regarding hazardous supply chain design and optimization.     

Assessing washing methods for reduction of pesticide residues in Capia pepper with LC-MS/MS

Abstract

The effects of washing treatments on removal rates of some pesticides residues (acetamiprid, chlorpyrifos and formetanate hydrochloride) on pepper were investigated. Method verification was conducted through spiking pepper samples at 0.1, 1.0 and 10.0 × MRL. QuEChERS method produced average recovery of 104.91% with relative standard deviation (RSD) of 13.41%. LOQ values of acetamiprid, chlorpyrifos and formetanate hydrochloride were estimated as 2, 10 and 5?µg/kg, respectively. Capia peppers grown in open fields were sprayed three times with pesticides. Peppers were harvested after 1st, 2nd and 3rd day of the treatments. Then the peppers were subjected to tap water, acetic acid and citric acid washing and ultrasonic cleaning treatments (for 2 and 5?min). Based on three different harvest times and two different washing durations, processing factors (PFs) and reduction rates were calculated for each washing treatment. The residues gradually decreased during washing treatments with increasing process duration. Similarly, a gradual reduction was noted with the progress of harvest times. This in turn corresponded to an increase in PF. Ultrasonic cleaning and citric acid (9%) washing were more effective than the others. Non-systemic pesticides (chlorpyrifos) were more readily removed than the systemic ones (acetamiprid). Similarly, highly soluble pesticides exhibited higher reduction.     

餐饮垃圾主要成分的热解动力学研究

将餐饮垃圾的主要成分纤维素、淀粉以及脂肪分别在10 K/min的升温速率下进行TG-DTG分析,结果表明3种物质由于分子结构与物质组成的差别,其热解特性有着明显的不同;同时采用Achar(微分法)和Coats-Refern(积分法)相结合的方法对餐饮垃圾进行热解动力学分析,找出最佳的机理函数并求出每种组分的活化能Ea和指前因子lnA。     

初始pH值对泔脚发酵产氢余物甲烷化的强化研究

以城市生活垃圾厌氧消化污泥为接种物,考察了初始pH值为5、6、7和8时对泔脚发酵产氢余物中温(36℃)批式厌氧消化的影响。结果表明,当初始pH值低于7时,随着初始pH值的增大,产氢余物的产甲烷能力也随之增大;而当初始pH值高于7时,体系的产沼能力却受到了极大的抑制。结合Gompertz模型拟合结果,初始pH值为7为泔脚发酵产氢余物沼气化的最佳初始pH值,其沼气化的延迟时间λ、产甲烷率、生物气中甲烷的最高体积含量分别为:4.02 d,379.28 mL/g VS,82.2%。厌氧消化结束后,除初始pH值为5的以外,厌氧消化余物的pH值在6.8~6.9之间,这为沼气中甲烷的高体积含量(高于常规厌氧消化的最高甲烷体积含量75%)提供了证据。     

企业绿色供应链管理实践的阶段性及其特征研究

本文在总结绿色供应链管理(GSCM)的现有研究成果与实践经验的基础上,提出可将企业在推进GSCM的实践划分为4个阶段:生存需求阶段、初步合作阶段、源头绿色化阶段、自我价值实现阶段。设计了调查问卷,对165家国内企业在推进GSCM的实践情况进行了调研。研究结果表明:这些企业在GSCM方面尚处于初级阶段,具体表现为由"消极应对"向"有所策划和初步实践"过渡;这一阶段的主要实施手段包括"回收利用生产过程中产生的废料"、"要求供应商提供清洁环保的产品"、"为消费者提供产品相关的环境信息"、"推进清洁生产审核"等。通过该实证研究以期为政府有关部门制定促进可持续发展的相关政策提供参考。     

石灰—石膏法在烧结烟气脱硫中的应用

介绍了钢铁企业烧结机烟气采用湿式石灰—石膏法进行脱硫的基本原理和工艺方法,结合已投入使用的系统进行了分析和探讨,对影响脱硫效率的诸多因素,如烟气中SO2浓度、液气比、pH值、吸收反应过程、特性、最终产品石膏的形成进行了理论分析和研究。通过对系统设备、特性的研究,提出了控制液气比、调节浆液pH值和烟气性质等保障系统高效稳定运行的措施。