LICARA nanoSCAN - A tool for the self-assessment of benefits and risks of nanoproducts

The fast penetration of nanoproducts on the market under conditions of significant uncertainty of their environmental properties and risks to humans creates a need for companies to assess sustainability of their products. Evaluation of the potential benefits and risks to build a coherent story for communication with clients, authorities, consumers, and other stakeholders is getting to be increasingly important, but SMEs often lack the knowledge and expertise to assess risks and communicate them appropriately. This paper introduces LICARA nanoSCAN, a modular web based tool that supports SMEs in assessing benefits and risks associated with new or existing nanoproducts. This tool is unique because it is scanning both the benefits and risks over the nanoproducts life cycle in comparison to a reference product with a similar functionality in order to enable the development of sustainable and competitive nanoproducts. SMEs can use data and expert judgment to answer mainly qualitative and semi-quantitative questions as a part of tool application. Risks to public, workers and consumers are assessed, while the benefits are evaluated for economic, environmental and societal opportunities associated with the product use. The tool provides an easy way to visualize results as well as to identify gaps, missing data and associated uncertainties. The LICARA nanoSCAN has been positively evaluated by several companies and was tested in a number of case studies. The tool helps to develop a consistent and comprehensive argument on the weaknesses and strengths of a nanoproduct that may be valuable for the communication with authorities, clients and among stakeholders in the value chain. LICARA nanoSCAN identifies areas for more detailed assessments, product design improvement or application of risk mitigation measures.     

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.     

Issues in reverse supply chains,part I: end‐of‐life product recovery and inventory management – an overview

Recovery of used products has become a field of rapidly growing importance in reverse supply chain management. Product recovery includes collection, inspection/separation, disassembly, reconditioning/reuse, remanufacturing, and recycling. In real time situations, the collection of end‐of‐life (EoL) products from the customer and their return to the manufacturer is tedious and time consuming. Reduced product life cycles have increased the rate of product returns and disposals. Owing to shortened product economic life cycles, the recovery of value from EoL products is becoming a necessity. Companies have realised the value that they could recover by remanufacturing or recycling EoL products. Researchers have developed various models for product recovery network design, optimal inventory, production planning and control, remanufacturing, recycling, disposal, etc. The main purpose of this paper is to review the literature on EoL product recovery and inventory management issues in reverse supply chains and to outline some future directions for research on these issues.     

SME application of LCA‐based carbon footprints

Following a brief introduction about the need for businesses to respond to climate change, this paper considers the development of the phrase ‘carbon footprint’. Widely used definitions are considered before the authors offer their own interpretation of how the term should be used. The paper focuses on the contribution small and medium sized enterprises (SMEs) make to the economy and their level of influence in stimulating change within organisations. The experience of an outreach team from the Engineering Department of a UK university is used which draws on the experience of delivering regional economic growth projects funded principally through the European Regional Development Fund. Case studies are used including the development of bespoke carbon footprints for SMEs from an initiative delivered by the outreach team. Limitations of current carbon footprints are identified based on this higher education‐industry knowledge exchange mechanism around three main themes of scope, the assessment method and conversion factors. Evidence and discussions are presented that conclude with the presentation of some solutions based on the work undertaken with SMEs and a discussion on the merits of the two principally used methodologies: life‐cycle analysis and economic input–output assessment.     

Reverse logistics network design: a conceptual framework for decision making

Reverse logistics play a significantly increased role in supply chains. Producers are incorporating reverse logistics into their supply chain design because of governmental legislation, economic benefits from product recovery, and customers' demands for better environmental practices. Motivated producers face two main challenges in reverse logistics network design: (1) how do you build product recovery activities into traditional forward logistics networks? and (2) how do you manage the impact of uncertainty in the reverse logistics supply chain? Moreover, producers need to consider many tradeoffs leading to efficient network design. Published case studies have discussed these tradeoffs, and we describe a framework to evaluate these tradeoff considerations. We then apply the framework to three new case studies: medical device refurbishing, municipal e‐waste recycling, and carpet fibre recycling.     

Eco-efficiency in logistics: a case study on distribution network design

Sustainability demands that managers deliberate effects on stakeholders and the environment alongside traditional profitability measures. This paper presents a case study suggested by the managers of a distribution firm that seeks to balance environmental impact with cost in an industrial distribution network configuration decision incorporating product returns, which is currently taking place. While this can be modelled using mathematical programming, nonlinear terms in the objective functions as well as the likeliness that a large number of combinations of binary decision variables result suggest that this will not be able to be relied upon for a solution. For this reason, we propose a heuristic that aims at finding the Pareto-efficient frontier, which managers can use to deliberate the best solution balancing cost and environmental impact, according to the relative trade-offs of various possible configurations. We illustrate this heuristic on the Italian region of Liguria, and further explore trade-offs juxtaposing the regions of Lombardi and Sicily. Lastly, various extensions for enhanced product recovery opportunities for returns are suggested.     

Manufacturing SMEs doing it for themselves: developing,testing and piloting an online sustainability and eco-innovation toolkit for SMEs

ABSTRACT

Public discourse frequently cites the damaging activities of large organisations on global environmental issues, but smaller organisations are rarely, if ever, featured. Small and Medium Enterprises (SMEs) make up 99% of all businesses in the EU, cumulatively causing more industrial pollution and producing more waste than larger businesses. However, large companies are more likely to address sustainability issues than smaller ones. SMEs need help to change. In a collaborative approach, an online sustainability framework was developed to overcome the barriers contributing to the slow uptake in environmental management in SMEs. The views of owner-managers were incorporated throughout the development process. Best practice environmental tools and training were identified, which were designed in an SME-friendly way and made available online. This paper describes the development of the pilot Sustainability and Eco-Innovation (SEco) toolkit, followed by an analysis of its use. This research finds that a self-led toolkit was not enough to nudge SMEs to address environmental issues, despite being approved by owner-managers at each step.     

Two-echelon closed-loop supply chain deterministic inventory models in a batch production environment

This paper considers a two-echelon closed-loop supply chain consisting of a manufacturer and a remanufacturer at the upper echelon and a retailer at the lower echelon. The retailer faces a constant demand from customers, which is satisfied through recovered and new products received from the remanufacturer and the manufacturer, respectively. The manufacturer produces the product with finite rate, whereas the recovery of returned product is instantaneous at the remanufacturer. We develop three models to determine the optimal production-inventory policy of the players for minimizing the joint total cost of the system. In the first model, the retailer receives the product in batches from the manufacturer and the remanufacture simultaneously, whereas in the second and third models, the batches are received alternatively. In the third model, however, the procurement of raw material at the manufacturer is also considered. Numerical illustration is presented to examine the impact of certain key parameters.     

Evaluating efforts to build sustainable WEEE reverse logistics network design: comparison of regulatory and non-regulatory approaches

Many developing countries such as Turkey are still making an effort on building an infrastructure for waste of electrical and electronic equipment (WEEE) reverse logistic network design (RLND) processes. It is obvious that policies/laws/regulations related to WEEE management provide a sustainable framework for implementation in the RLND. The question is here: Does the implementation of WEEE directives make sense in terms of reducing the total cost of the network in the long term? This study aims to compare regulatory and non-regulatory situations of WEEE RLND in developing countries by formulating two models named as ‘regulatory’ and ‘non-regulatory’. Model 1 is considered as sustainable with economic, environmental and social goals, and the quotas imposed by the environmental directive are taken into consideration as the data of product return amount. In Model 2, only economic goal is considered, and product return amount is forecasted using Artificial Neural Network (ANN). A case study is conducted in a recycling company in order to evaluate performance of the proposed models. This study contributes to the relevant literature by (1) comparing the regulatory and non-regulatory situations RL models explicitly and (2) proposing ANN model to forecast EEE product return or WEEE quantity for non-regulatory situation.     

Legitimate adaptive flood risk governance beyond the dikes: the cases of Hamburg,Helsinki and Rotterdam

It has recently been recommended that a shift from traditional flood prevention to more adaptive strategies is made, focusing on the reduction in and recovery from flood impacts as a means to improve resilience to climate impacts. This shift has had implications for the public–private divide in adaptive flood risk governance. In an urban context, it means that private actors such as developers and residents come into play, necessitating governance arrangements which cross the public–private divide. The division of responsibilities for water safety between the public and private sectors affects the way legitimacy is gained for these arrangements and raises new legitimacy issues. The paper offers an analysis of public and private responsibilities in adaptive flood risk governance arrangements, as well as of the legitimacy of the arrangements in the light of the public–private divide. A comparative case study is presented for three urban regeneration projects in un-embanked areas in Hamburg, Germany, Helsinki, Finland, and Rotterdam, the Netherlands, where adaptive strategies have been applied. The results show that network arrangements with joint public–private responsibilities use direct forms of participation and deliberation, but that these do not necessarily lead to more legitimate arrangements in the eyes of stakeholders as is often suggested in the literature. Both network and more public hierarchical arrangements can be perceived as quite legitimate under certain conditions.     

Environmental requirements for furniture industry: the case study of Brazilian Southeast industry

Despite more than 20 years of economic progress, especially in emerging economies like Brazil, the gap between developed and developing countries is still large, and environment problems have risen significantly. In this context, this paper aims to make the Brazilian furniture production cleaner, analyzing the environmental requirements considered by the micro and small enterprises (SMEs) in made-to-order furniture industry during the product development process (PDP). Another attempt was to identify the internal and external factors that led to the incorporation of these requirements. In this regard, a comprehensive review of eco-design concept that consists of composing environmental requirements into the PDP, through methods, tools, guidelines and techniques, was carried out. The data were collected using semi-structured interviews and in loco observations, analyzing each activity of the PDP and the environmental requirements on 18 SMEs in Brazil. The outcomes show that the economic factors determine the way in which the enterprises respond to the environmental issues and how adequate their companies according to laws and regulations. Moreover, the small number of qualified professionals in this field lead to difficulties to structure the sector, in other words, to produce with less environment impact.     

The Sustainable Development of ICTs in China： An Empirical Study of Small and Medium-Sized Enterprises

The wide application of new information and communication technologies （ICTs） has been argued to be critical to business success of small and medium-sized enterprises （SMEs）, especially to those in the developing countries. Drawing upon existing literature, this article will examine the determinants of ICTs application in SMEs in China based on data collected from interviews with top managers and/or owners of 70 SMEs. We identify 20 factors affecting ICTs application in SMEs in China and divide them into four broad categories, namely pressures, firm specific factors, technical factors and local milieu. We also pay special attention to the Chinese business environment affecting ICTs application. Our analysis shows that local ICT infrastructure, external pressures from competitors and ICT knowledge of employees are the determinants of Internet application by SMEs, while product characteristics and market target are important factors of e-commerce adoption.     

Value of information in product recovery decisions: a Bayesian approach

There is a widespread recognition of the need for better information sharing and provision to improve the viability of end-of-life (EOL) product recovery operations. The emergence of automated data capture and sharing technologies such as RFID, sensors and networked databases has enhanced the ability to make product information; available to recoverers, which will help them make better decisions regarding the choice of recovery option for EOL products. However, these technologies come with a cost attached to it, and hence the question ‘what is its value?’ is critical. This paper presents a probabilistic approach to model product recovery decisions and extends the concept of Bayes' factor for quantifying the impact of product information on the effectiveness of these decisions. Further, we provide a quantitative examination of the factors that influence the value of product information, this value depends on three factors: (i) penalties for Type I and Type II errors of judgement regarding product quality; (ii) prevalent uncertainty regarding product quality and (iii) the strength of the information to support/contradict the belief. Furthermore, we show that information is not valuable under all circumstances and derive conditions for achieving a positive value of information.     

An integrated methodology for the used product selection problem faced by third-party reverse logistics providers

The rise of electronic commerce and the stricter government regulations on the recovery of end-of-life products increased the number of products returned by customers. A company may deal with increasing product returns by developing its own reverse logistic system. However, high fixed costs associated with dedicated reverse logistics equipment and infrastructure force many companies to outsource their reverse logistics operations to third-party reverse logistics providers. One of the important problems faced by third-party reverse logistics providers is the selection of the types of used products to be collected. In this study, a four-phase used product selection methodology is proposed. First, the quantitative and qualitative selection criteria are determined. Then the weights of the criteria are calculated using fuzzy analytic hierarchy process. Next, simulation models are employed to determine the values of quantitative criteria. Finally, technique for order preference by similarity to ideal solution ranks alternative used product types. A numerical example is also provided in order to present the applicability of the proposed methodology.     

近61年来长江荆南三口水系连通性演变特征

基于1955～2016年不同时期的长江荆南三口水系相关数据,从水系水力连通性强度、水系连通度和水系连通性水平三视角分析研究区水系连通变化过程。结果表明：2016年与1955年相比,（1）区域的水文连通性呈现下降的趋势,但变化幅度不大;(2)水系连通环度α、节点连接率β、水系连通度γ分别减少了45.45%、10.8%、8.46%,节点连接率β下降得最为明显;（3）基于水系自然社会功能的水系连通性（E）和基于水流阻力与水文过程（F）这两种水系连通性评价方法,联合评价了荆南三口水系连通性,两种结果均显示,研究区水系连通性均呈下降趋势,由1955年的0.2367和0.3434依次下降到2016年的0.1588、0.2517。该研究可为该地区实施河湖水系连通工程,修复河流生态系统提供理论参考。     

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.     

Ecological and economical assessment of end‐of‐life waste recycling in the electrical and electronic recovery sector

Technological innovation and shorter product life cycles of electrical and electronic equipment coupled with their rapidly growing applications have resulted in the generation of an enormous amount of waste from electrical and electronic equipment (WEEE). To address the potential environmental problems that could stem from improper end‐of‐life management of WEEE, many countries have drafted national legislation to improve the reuse, remanufacture and material recycling from WEEE, and to reduce the amount of such waste going to landfills. With the introduction of such legislation comes an increased need for the recovery operators to evaluate the recycling costs and environmental benefits of reclaimed products and materials in order to select the most appropriate end‐of‐life options for individual products in WEEE. This paper presents a systematic methodology for ecological and economical assessment to provide a holistic understanding of the impacts associated with different end‐of‐life options for such waste. This assessment, in addition to providing decision‐support for the selection of the best possible end‐of‐life option for a particular product in WEEE, could also generate vital information to support the design and material selection processes during the initial product development activities. The assertion made is that the detailed considerations of the ecological and economical impacts associated with different end‐of‐life options will significantly improve the recovery and recycling of WEEE.     

环保型中小企业借贷环境分析

在经济多元发展的新历史阶段,环保型中小型企业作为正在蓬勃发展和活跃市场的重要经济个体,可以优化产业经济结构,推动循环经济发展.本文从软信息与关系型借贷研究入手,针对目前环保型中小企业财务信息不甚清晰、抵抗外界经济冲击能力有限和融资渠道特殊等特点,建立博弈模型,深入分析完全信息和不完全信息条件下,小额贷款公司与环保型中小企业客户之间的借贷关系.通过整体构建基于软信息特征的制度化信用风险控制准则,最终达到合理满足环保型中小企业激增的特殊融资需求.研究结果表明:以关系型借贷理论为依托,为满足各自的市场需求和利益保障,需要充分考虑环保型中小企业贷款客户的各类软信息,建立符合软信息时效性的信贷流程,决策权相对集中的组织结构和面向软信息收集的正向激励机制,从而实现对环保型中小企业客户贷款信用风险的有效控制,最终达到完善区域信用环境、支持中小企业发展和活跃社会主义市场经济的多重目标.     

Environmental assessment of a Palette Modular Device for gold recovery from PVD

The novel “Palette Modular Device” (PMD) technology, addressing the recovery of wastes from Physical Vapour Deposition (PVD) maintenance, is evaluated according to a Life Cycle Assessent (LCA) approach. The PMD recovery technology was recently developed with the aim of an easier and more sustainable separation of the film layers used in PVD, with a particular emphasis on multi-material film productions, frequently adopted in the electronic industry. The PMD is briefly presented in the paper, along with three implementations for industrial purposes. Each implementation adopts a different light solvent for the metal recovery like acetone and formic acid. The usage of light solvents is a peculiar feature enabled by the system considered, as an alternative to traditional approaches. The LCA starts with the objectives and prosecutes with inventories of all material and energy flows for each different scenario considered. Additionally, a global impact assessment is provided in a specific section, in order to enable a quantitative comparison of the potential effects on the environment in every scenario. The results of this study allow the industrial designer to perform an overall environmental evaluation of the three strategies proposed and to compare the performances of the novel technology. The research, furthermore, highlights some critical points in the adoption of the PMD and suggests how to improve the implementation of this recovery process.     

Eco-efficient cold chain networks design

ABSTRACT

The demand of food distribution across global supply chains is continuously growing and since this kind of deliveries need refrigeration, the growth will enormously increase the energy request and the associated carbon emissions. The aim of this study is to develop a model for the optimisation of eco-efficiency related to a typical refrigerated food distribution network design as a particular case of cold chain. Inventory holding, transportation and energy consumption cost components are included in the model for the evaluation of economic performance of the chain, while energy consumption for storage and transport activities is also considered to contribute to the environmental performance of the chain. In order to model a supply chain related to refrigerated food, the perishability of distributed products is also involved in the model, as it influences storage and distribution activities performances. A novel analytical model is developed for the economic and environmental evaluation of the considered chain. A numerical study that considers different alternative configurations of the distribution network for refrigerated green peas is presented and results are discussed considering the eco-efficiency of different alternatives. Finally, main limitations of the model and future developments are presented and discussed.