Internal cycle modeling and environmental assessment of multiple cycle consumer products

Dynamic annual flow models incorporating consumer discard and usage loss and featuring deterministic and stochastic end-of-cycle (EOC) return by the consumer are developed for reused or remanufactured products (multiple cycle products, MCPs), including fast and slow cycling, short and long-lived products. It is shown that internal flows (reuse and overall consumption) increase proportionally to the dimensionless internal cycle factor (ICF) which is related to environmental impact reduction factors. The combined reuse/recycle (or cycle) rate is shown capable for shortcut, albeit effective, monitoring of environmental performance in terms of waste production, virgin material extraction and manufacturing impacts of all MCPs, a task, which physical variables (lifetime, cycling frequency, mean or total number of return trips) and conventional rates, via which environmental policy has been officially implemented (e.g. recycling rate) cannot accomplish. The cycle rate is shown to be an increasing (hyperbolic) function of ICF. The impact of the stochastic EOC return characteristics on total reuse and consumption flows, as well as on eco-performance, is assessed: symmetric EOC return has a small, positive effect on performance compared to deterministic, while early shifted EOC return is more beneficial. In order to be efficient, environmental policy should set higher minimum reuse targets for higher trippage MCPs. The results may serve for monitoring, flow accounting and comparative eco-assessment of MCPs. They may be useful in identifying reachable and efficient reuse/recycle targets for consumer products and in planning return via appropriate labelling and digital coding for enhancing environmental performance, while satisfying consumer demand.     

制造企业生产过程环境影响评估系统研究

制造企业生产过程环境影响评估系统是对产品车间生产过程绿色性进行评估的系统,通过分析产品在生产过程各阶段以及整体的资源消耗和环境排放情况,来评定产品的生产制造过程是否符合绿色制造要求,以及应该在哪些方面进行改进,它是绿色生产过程得以实现的关键之一。研究制造企业生产过程环境影响评估系统的结构,基于生命周期评价(LCA)及生态指数Eco-indicators99方法建立环境影响评估模型,探讨生产过程环境影响评估的理论及方法,最后通过在车间中电弧焊接过程为实例分析验证了评价模型的可行性。     

中国化工产业园区化的驱动机制:基于社会-生态系统框架下的博弈论分析

化工产业园区化是政府合理规范化工园区且将化工园区外化工生产企业关停并搬迁至化工园区内的产业集聚化,是解决目前中国化工产业安全事故频发、环境污染严重等问题,推进化工产业转型升级的重要政策之一。中国化工产业园区化的社会—生态系统框架刻画了化工园区、化工产品、化工园区管委会、企业和公众四个核心子系统的关联,在此基础上,中国化工产业园区化的博弈模型将参与者简化为政府(包括化工园区管委会)、企业(化工生产企业)和公众(化工生产企业现址影响半径内的居民群体),并分别构建了政府与企业间的博弈模型与公众参与下的政府与企业间的博弈模型。根据模型推论,此两类情景博弈的纳什均衡都可以为(政府行政政策,企业按期搬迁入园)或(政府经济政策,企业按期搬迁入园)。中国化工产业园区化的驱动机制,是在作为外在驱动主体的政府和公众的引导和监督下,作为内在驱动主体的化工生产企业,在各驱动因素的协同作用下,实现其"按期搬迁入园"的机制。进而得出化工生产企业与化工园区"按期匹配搬迁入园"、提升化工园区公共服务能力、差异化地一企一策及建立公众和企业与政府的三方对话机制的四点政策建议。     

典型染料医药化工园区清洁生产与循环经济发展路径研究

本研究以典型染料医药精细化工园区HSEDA为对象,从四个方面分析其近17年来产学研政合作推行清洁生产与发展循环经济的技术路径与创新实践、所取得的减污降碳绩效,以及未来展望。研究发现,HSEDA绿色低碳循环发展有四个特征：(1)突出园区精细化物质流能量流管理,自下而上理清多产品、多元素、多层级物质能量代谢结构、路径和过程,定量揭示全生命周期环境影响,设计清洁生产和循环经济靶向措施;(2)染料行业自主开发了连续硝化、催化加氢、重氮化,高效分离、传热传质偶合等清洁技术,提效减排绩效显著;(3)医药行业开发了维生素、喹诺酮关键中间体短流程绿色合成技术,提高了原子经济性;(4)园区定量分析反应、工艺及物料全生命周期安全特性和风险,系统设计,提高本质安全。2006—2019年,HSEDA实现经济与资源、能源、环境脱钩发展。在“双碳”战略下,从系统角度提出园区“一核六驱”绿色低碳循环发展新模式。     

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.     

Opportunities for redistributed manufacturing and digital intelligence as enablers of a circular economy

The linear production of consumer goods is characterised by mass manufacture by multinational enterprises and globally dispersed supply chains. The current centralised model has created a distance between the manufacturer and end user, limiting the opportunity for intelligent circular approaches for production and consumption. Through a mixed method approach, opportunities of circularity are explored for the consumer goods sector. The study presents four lenses to analyse three enterprises through a multi-case study approach to explore the potential of digital intelligence and redistributed manufacturing (RDM) as enablers of circular business models. In addition, the study examines whether Discrete Event Simulation can be used to evaluate the circular scenarios identified through quantifying flows of material that determine traditional economic value (cost/tonne). The mixed method approach demonstrates that, a qualitative systemic analysis can reveal opportunities for circularity, gained through implementing ‘digital intelligence’ and distributed models of production and consumption. Furthermore, simulations can provide a quantified evaluation on the effects of introducing circular activities across a supply chain.     

Critical success factors of sustainable manufacturing practices in Malaysian automotive industry

The purpose of this study is to examine the critical success factors of sustainable manufacturing practices (SMPs) in Malaysian automotive industry. The questionnaires were designed and distributed to the 50 respondents. The pilot study sample consists of 26 respondents from 50 questionnaires, with an average response rate of 52%. The results of reliability analysis show that social responsibility is critical factor influencing the direct SMPs implementation success. By implementing SMPs in Malaysian automotive industry, it can assist company to improve the quality of management. Thus, this study recommends that the future research explore the influence of SMPs on sustainable performance in Malaysian automotive industry.     

机械制造企业安全现状模糊综合评价

为完善机械制造企业安全现状综合评价指标体系及评价方法,建立了包括人、物、环、管四个方面的机械制造企业安全现状综合评价指标体系,提出了模糊综合评价方法;运用层次分析法计算指标权重,采用专家评价和隶属度函数相结合的方法来确定各指标的评语等级隶属度;将该方法应用于湖南某汽车制造企业的安全现状综合评价中,得出企业安全现状等级为较好,明确了该企业在人员素质和作业环境方面存在的不足,为制定安全对策措施提供了指导。     

A methodology for electricity monitoring and targeting (M&T) in an Irish precision engineering SME

Abstract

Energy management in small to medium enterprises (SMEs) remains undeveloped due to competing priorities and a lack of specialist knowledge. However considerable savings can be demonstrated where companies take the time to investigate their energy use. Savings of over 20% can be achieved through changes to operational and behavioural practice. Additional benefits, such as improved production tracking and improved maintenance, can been seen which add to the value in undertaking an energy monitoring and targeting (M&T) plan. The method described involves the application of a series of ‘virtuous’ cycles of engagement and energy savings that can be applied from the highest factory level right down to a specific machine. The analysis of overall energy use from utility bills and the visualisation of typical machine power profiles aid in understanding the drivers of energy consumption and in engaging management in energy efficiency. The monitoring of specific machines in production highlights the significant consumption of electricity during non-productive times. The development of energy performance indicators is described for product variations which can be useful in tendering for business and selecting optimum production pathways. The approach is illustrated with data from a case study of a precision engineering SME based in Limerick, Ireland.     

Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study

The modern manufacturing organisations have been adopting both lean and sustainable manufacturing paradigms to survive in the competitive environment. Lean and sustainable strategies aim at achieving productivity improvement by streamlined processes and waste elimination. The performance of such integrated lean sustainable system has to be assessed to ensure whether the strategic objectives are in line with customer value and to identify improvement opportunities that enable and enhance the competitive advantage of an integrated lean sustainable system. This paper presents the formulation of conceptual performance evaluation model to assess lean sustainable systems. Appropriate performance indicators have been identified and adaptive neuro fuzzy inference system approach is used to evaluate lean sustainability. A case of automotive component manufacturing firm in Indian scenario is exemplified. Based on the evaluation, lean sustainability index was computed and the firm was found to be ‘Averagely Lean Sustainable’. Further improvement actions to enhance the lean sustainable performance were planned and implemented. The developed performance evaluation model is capable of effectively evaluating the lean sustainable performance of manufacturing firms and has more practical relevance.