Applying CES to assembly and comparing carbon footprints

A Carbon Emission Signature (CES) and a Carbon Emission Label have been proposed for manufactured products in previous CIRP (Collège International pour la Recherche en Productique) annals. This paper considers two things: (1) an example of a CES calculation for assembly with CO₂ emissions and (2) the need for a transparent method of calculation. In comparing carbon footprint calculations for 17 websites, the results are found to vary more than threefold depending upon the site used and even more between different methods illustrating the need for standardisation in emission calculations for carbon accounting.     

Decision support for sustainable manufacturing using decision guidance query language

Sustainability has become a very significant research topic as it impacts many different manufacturing industries. Therefore, the technologies for monitoring, analysing, evaluating and optimising the sustainability performance of manufacturing processes and systems are very critical for decision makers on the shop floor. This paper introduces a decision guidance management system that provides actionable recommendations through quantitative analysis of the sustainability measures of manufacturing processes and systems based on life cycle assessment. The system determines decision preferences through dynamically collected data and decision makers' responses, taking into account the prevailing constraints. Optimal decisions can be derived using mathematical and constraint programming. By using decision guidance query language, this methodology allows users to make optimal decisions without an extensive mathematical or operations research background. Knowledge of relational databases is sufficient for a user to formulate the optimisation problem and obtain optimal solutions. The methodology is demonstrated with a machining operation case study, in which a list of sustainability metrics are identified and sustainability modelling methods are proposed. Important sustainable machining performance measures are optimised, resulting in actionable recommendations.     

Sustainable outsourcing: a practice survey and research opportunities

This paper addresses the issue of the sustainability imperative and its influence on outsourcing practice. The research initially finds that there is currently little or no work that explores sustainable or green outsourcing, other than in an information technology context. This lack of research on sustainable outsourcing practice in the industrial organisation sector led to the development of this research study. This exploratory study used a qualitative survey tool to investigate current industrial practice. Manufacturing managers in 57 organisations formed the survey sample. The data were analysed by comparison and clustering of responses of survey participants. This study contributes five key findings that demonstrate current industrial practice which includes: 32% of respondents state that sustainability is not a factor in their outsourcing decision making and 65% of small- and medium-sized enterprises had never heard of the ‘triple bottom line’ concept. Future research needs are identified and proposed highlighting that urgent development of research is required in outsourcing performance measurement and also in considering sustainability as a new manufacturing competitive priority.     

Current Status of Manufacturing Hazardous Waste in Shanghai

Abstract

It is difficult to manage the manufacturing hazardous waste (MHW) which is generated from a huge amount of complicated sources and causes very serious pollution. Therefore more and more attention has been paid to MHW pollution. Shanghai, as an industrial and economic center and an international metropolis in China, has a vast industrial system spanning a multitude of sectors, which generates MHW not only in a huge magnitude but also in a large variety of types from complicated sources, resulting in severe pollution. In 2003, the production of MHW in Shanghai is about 3.96 × 10⁵ ton, involving 33 indices. Most of MHW in Shanghai is treated and disposed of, but a significant portion is not handled properly and effectively. This paper carries out in-field investigation on the current status of MHW production and treatment in Shanghai, and puts forward scientific proposals that Shanghai should facilitate cleaner production and minimize hazardous waste; strictly enforce hazardous waste registration system, strengthen monitoring the certified enterprises; strengthen intent disposal center construction and realize hazardous waste reclamation; accelerate establishing the technical criteria and the management policy, promote the research and development on the treatment and disposal technology, and strengthen information management, thus realizing integrated management on MHW pollution.     

Optimization of the recovery of plastics for recycling by density media separation cyclones

Material recovery processes are presented as the optimum option for recycling plastic wastes as a means of recovering hydrocarbon resources. There exist a large variety of automated material recovery processes for recycling of such wastes but each with significant limitations. Of these, the separation based on differences in densities is advocated as the optimum process either for producing recycled products or preparing wastes for subsequent recovery processing.Density separation processes based on cyclone type density media separation (DMS) is presented as an important, potential method for increasing plastics recycling process capacities. It is demonstrated to have the capacity to separate a significantly larger range of particle sizes than those presently processed industrially. The mathematical relationship for the prediction of quality of typical LARCODEMS type density media separations by particle size and density as expressed by the Ecart Probable is presented.A proposed device configuration is presented for density media separation to optimize the recovery and purity of both density fractions produced. It is also suggested that to be economically viable, a large scale of operation is required for industrial plastics recycling operations recovering and producing a number of different plastics with a purity to be used as a substitute for virgin material.     

加工误差对压气机叶栅气动性能的影响

目的 研究不同区域加工误差对叶片气动性能的影响。方法 选用轴流压气机出口级静叶叶中截面,以叶型厚度变化和中弧线变化为特征,分别在叶型前缘、最大厚度和尾缘区域添加加工误差,采用数值模拟方法,对比设计叶型气动性能,研究叶型各区域几何偏差对性能的影响。结果 叶型前缘几何偏差对气动性能的影响最大,偏差造成的中弧线偏移对性能变化起主导作用。尾缘区域几何偏差对性能的影响趋势与前缘区域完全相反。考虑叶型整体偏差时,轮廓度正偏差造成的性能恶化更加显著。结论 所得的几何偏差影响规律可为实际叶片加工过程中工艺的制定和超差审理提供数据支持。     

工业自动化制造企业环境因素的识别和影响研究

企业通过建立ISO14001环境管理体系(EMS),即可以提升企业的社会形象,也能更好帮助企业实现其承担的社会责任.在实践中,明确组织的环境因素是建立符合、有效的EMS的基础,也是组织进行环境规划活动的首要步骤.本文将以某外商独资企业为例,基于该类高附价值产品的制造企业特点,建立了环境因素识别的输入输出模型来全面识别环境因素,并分析了其对企业带来的相关环境影响.最后本文讨论了企业的节能减排案例,以及相关方的环境因素的影响和管理.     

成都市工业挥发性有机物排源成分谱

选取成都市汽车制造和石油化工等典型工业行业,通过瓶采样和SUMMA罐采样及GC-MS分析方法,研究了不同生产工艺环节的挥发性有机物(VOCs)排放特征.结果表明,汽车制造各工艺环节均有各自的优势组分,其中喷漆排放以烷烃(32%)和芳香烃(35%)为主.家具制造排放特征与使用原辅料高度相关,以芳香烃(50%)和OVOCs(38%)为主.石油化工各装置区VOCs浓度范围为49～1 387μg·m~(-3),不同装置区存在较大差异,主要是由于炼油区主要产品为C_5～C_9的汽油和苯系物等,化工区则较多使用了溶剂同时生成烯烃类产品.电子制造均以OVOCs为主,占VOCs总排放的50%以上.制鞋行业排放VOCs主要由烷烃和OVOCs贡献,平均占比分别为52%和36%,与所用溶剂组分高度相关.汽车制造VOCs排放组分差异较大,主要以正十二烷和2-丁酮等为主.家具制造排放组分主要为苯乙烯、乙酸乙酯和间/对-二甲苯等,为涂料和稀释剂的典型组分.石油化工各装置区排放组分有差异,炼油区以苯乙烯等为主,化工区主要为1,3-丁二烯等,仓储区主要为C_3～C_5烷烃等,废水处理则主要为C_6～C_8烷烃等.电子制造主要组分均为乙醇和丙酮等醛酮组分.制鞋企业排放组分以C_5和C_6等烷烃为主.通过臭氧生成潜势计算比较,汽车制造和石油化工行业对臭氧生成潜势贡献较大的VOCs排放组分以烯烃和芳香烃为主,具有较高的污染源反应活性.研究表明各工业行业OVOCs排放比例(17%～96%)和对臭氧生成潜势贡献均较为显著,因此在进行VOCs排放控制时,除重点管控芳香烃和烯烃外,亦应提高对OVOCs组分的关注.     

企业低碳制造战略分类研究:以水泥企业为例

随着气候变化加剧,低碳发展已成为政府和学者关注的重要议题。降低工业碳排放成为实现我国经济可持续发展的当务之急。低碳制造战略是工业企业实现战略转型、应对碳排放约束和提升市场竞争力的可行策略之一,但企业低碳制造战略的研究正处于起步阶段,还缺乏低碳制造战略类型的认识。为此,本文在拓展企业制造战略竞争优先权结构要素的基础上,增加能源利用率和单位产品二氧化碳排放量为竞争优先权结构要素,构建低碳制造战略竞争优先权分类指标,由此探索企业低碳制造战略类型。本文以国内22个省(自治区、直辖市)所辖的137家水泥企业为研究对象,运用聚类分析方法,识别企业低碳制造战略的类型,结果表明:企业低碳制造战略可划分为三种类型,分别是设计者、看守者和低碳践行者。研究结果不仅有助于深入了解水泥企业低碳制造战略特点,为我国水泥企业低碳制造战略制定和实施提供决策依据,而且其理论成果也可推广至其他高耗能产业,创新引导企业有效实施基于产品全生命周期的企业低碳制造战略。     

涂料制造行业挥发性有机物排放成分谱及影响

采用不锈钢采样罐对华东地区8家涂料制造企业生产车间排口进行采集,运用气相色谱-质谱联用技术（GC-MS）测定了106种VOCs组分,识别了VOCs排放特征,建立了溶剂型涂料和水性涂料VOCs排放成分谱,分析了VOCs对臭氧生成的贡献.结果表明,涂料制造行业VOCs特征组分主要为芳香烃和含氧烃,两者浓度范围在65.5%~99.9%,溶剂型涂料VOCs排放主要以芳香烃为主,占总VOCs的63.0%~94.0%;水性涂料VOCs排放主要以含氧烃为主,占总VOCs的54.5%~99.9%.间/对-二甲苯（32.4%）、乙苯（19.0%）和乙酸乙酯（12.1%）为溶剂型涂料源排放特征,乙酸乙酯（83.7%）与2-丁酮（8.0%）为水性涂料源排放特征.芳香烃和含氧烃是涂料制造行业的主要活性组分,对臭氧生成潜势（OFP）的总贡献率在92.9%~99.9%之间.源反应活性分析（SR）表明,水性涂料单位质量VOCs对臭氧的生成贡献低于溶剂型涂料,因此可显著降低臭氧的生成潜势.研究显示,针对涂料制造行业VOCs污染治理,应重点关注芳香烃和含氧烃中对臭氧生成潜势贡献较大的VOCs组分,进行源头和精细化控制.