An inexact reverse logistics model for municipal solid waste management systems

This paper proposed an inexact reverse logistics model for municipal solid waste management systems (IRWM). Waste managers, suppliers, industries and distributors were involved in strategic planning and operational execution through reverse logistics management. All the parameters were assumed to be intervals to quantify the uncertainties in the optimization process and solutions in IRWM. To solve this model, a piecewise interval programming was developed to deal with Min-Min functions in both objectives and constraints. The application of the model was illustrated through a classical municipal solid waste management case. With different cost parameters for landfill and the WTE, two scenarios were analyzed. The IRWM could reflect the dynamic and uncertain characteristics of MSW management systems, and could facilitate the generation of desired management plans. The model could be further advanced through incorporating methods of stochastic or fuzzy parameters into its framework. Design of multi-waste, multi-echelon, multi-uncertainty reverse logistics model for waste management network would also be preferred.     

基于投入产出分析的辽宁省环境物流研究

根据环境物流定义,提出环境物流部门是联系生产部门和新产品生产部门纽带的观点,利用投入产出矩阵思想,构建环境物流的投入产出模型。以2010年《辽宁省统计年鉴》和2007年42个部门投入产出表中的有关数据为基础,运用环境物流投入产出模型,估算并分析了辽宁省2007年环境物流的投入产出表。结果表明,发展环境物流业对经济、社会和环境的可持续发展具有深远意义。     

An optimization model for product returns using genetic algorithms and artificial immune system

Current environmental issues emerging in the world are reflected in the environmental legislation of several countries. Because environmental issues are important, industries actively seek ways in which to reduce their environmental footprint. One effective method is through the use of reverse logistics. Reverse logistics is the concept of reusing used products in order to reduce wastes and to increase an industry's environmental performance and resulting profits. Stock selection, transportation, centralized collection, data collection, refurbishing, and remanufacturing are some of the more commonly utilized reverse logistic operations. An effective reverse logistics network is essential for increasing the flow of goods from customers to producers. The objective of this paper is to develop a multi-echelon reverse logistics network for product returns to minimize the total reverse logistics cost, which consists of renting, inventory carrying, material handling, setup, and shipping costs. Industries need to give more attention to the task of collecting used products from customers and establishing collection facilities. In this study, a mixed integer non-linear programming (MINLP) model is developed to find out the number and location of initial collection points and centralized return centers required for an effective return and collection system, and also the maximum holding time (collection frequency) for aggregation of small volumes of returned products into large shipments. Two solution approaches, namely genetic algorithm and artificial immune system, are implemented and compared. The usefulness of the proposed model and algorithm are demonstrated via an illustrative example.     

Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis

With the urgency of global warming, green supply chain management, logistics in particular, has drawn the attention of researchers. Although there are closed-loop green logistics models in the literature, most of them do not consider the uncertain environment in general terms. In this study, a generalized model is proposed where the uncertainty is expressed by fuzzy numbers. An interval programming model is proposed by the defined means and mean square imprecision index obtained from the integrated information of all the level cuts of fuzzy numbers. The resolution for interval programming is based on the decision maker (DM)’s preference. The resulting solution provides useful information on the expected solutions under a confidence level containing a degree of risk. The results suggest that the more optimistic the DM is, the better is the resulting solution. However, a higher risk of violation of the resource constraints is also present. By defining this probable risk, a solution procedure was developed with numerical illustrations. This provides a DM trade-off mechanism between logistic cost and the risk.     

逆向物流与再生资源回收利用

逆向物流是重新挖掘产品使用价值,节约资源,保护环境,实施可持续发展的重要战略措施.论述了逆向物流与再生资源回收利用之间的关系,分析了再生资源企业开展逆向物流的优劣势,提出了再生资源企业参与逆向物流的模式.     

Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection

The location selection for landfill municipal solid waste is an important issue in waste management. Selection of the optimal location requires consideration of multiple alternative solutions and evaluation factors because of system complexity. Further, ranking of the alternative locations and selection of the most optimal and efficient locations for landfill waste are an important multi-criteria decision-making problem. In this study, the candidate locations for landfill are determined based on Political, Economical, Environmental and Social factors are assessed through decision-makers’ opinion and by the methodology that incorporates fuzzy analytic hierarchy process (fuzzy AHP) and fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS). Specifically, the fuzzy AHP technique is applied to determine the weights of selected criteria impacting the location selection process, and the fuzzy AHP is adapted to model the linguistic vagueness and ambiguity, which can also be expressed as triangular fuzzy numbers. Furthermore, fuzzy TOPSIS technique is employed to rank the alternative locations. The applicability of this methodology is demonstrated by a case study of landfill waste location selection in the region of Casablanca, Morocco, and the results are compared with other techniques. Finally, to complete the treatment, a sensitivity analysis is performed to examine the impact of the preferences given by decision-makers to choose the best location.     

PET containers in Brazil: Opportunities and challenges of a logistics model for post-consumer waste recycling

The use of post-consumer materials is directly related to reducing the cost of production and extraction of natural resources. Non-recyclable materials are randomly disposed in the environment. Brazil is one of the largest consumers of PET (polyethylene terephthalate) bottles. The purpose of this paper is to describe the opportunities and challenges of the logistics model for post-consumer PET bottle recycling in Brazil, while providing knowledge of its practices along the recycling chain. The results describe the need to educate those directly and indirectly involved in the process; to reduce consumption in order to reduce the amount of waste generated; to structure the post-consumer reverse chain and engage industrial sectors and government, through public policies, to support cleaner technologies along the PET bottle production chain.     

中国省域物流经济发展水平测度研究

以经济理论为基础构建我国省域物流经济发展水平的测度指标体系,以动态因子分析方法构建其测度模型,对中国大陆30个省、市、自治区（西藏除外）1997-2011年的物流经济发展水平进行测度.结果表明,我国省域物流经济发展水平区域特征较明显,各地区物流经济发展水平表现出较大的区域差异.     

循环经济下的物流作业

环境与物流之间是相互影响、相互制约的。构建适应循环经济发展要求的现代物流是物流业发展的必然趋势,分析了建立循环物流系统是发展环境保护和节约资源方面的必要性;结合循环经济理论、现代物流理论,构建基于循环经济的物流体系结构。最后提出大力利用第三方物流构建在循环经济下的标准化、绿色化、高技术的物流作业。     

B2C服饰类电商企业逆向物流网络联建研究

在电子商务环境下,由于网络购物的兴起,导致大量退货逆向物流和回收逆向物流.鉴于国内多数电商企业没有完善的逆向物流系统,相关学术研究和出版物较少,网购产品中81.8％是服装鞋帽类产品,故提出一种基于电商环境下服饰类行业联合构建逆向物流网络.该网络模型旨在降低两大逆向物流的回收成本,形成规模效应和溢出效应.因此,构建了0-1MILP数学模型和模拟数据,借助Lingo9.0计算软件找出模型的最佳运营状态,为服饰类电商企业高效完成逆向物流活动、提高服务质量、增强行业竞争力提供思路.     

物流量统计量纲研究

物流量量纲的统一标准化是物流量研究的基础,影响到物流规划实施的准确性.针对目前物流量统计量纲没有统一标准的问题,提出了物流标准当量这一物流量单位,统一了物流量统计口径,丰富了物流研究的相关于物流量的统计理论,使不同物流实现可加性,并可与市场容量挂钩,为更科学分析、研究和规划物流业打下基础.     

我国蔬菜物流链的现状及其优化措施

阐述了蔬菜物流链的内涵及其特征，给出了蔬菜物流链的结构模型，分析了我国蔬菜物流链的主要问题，提出了物流链优化的目标及其措施。     

A Recourse‐Based Interval Fuzzy Programming Model for Point‐Nonpoint Source Effluent Trading under Uncertainty

In this study, a recourse‐based interval fuzzy programming (RIFP) model is developed for tackling uncertainties expressed as fuzzy, interval, and/or probabilistic forms in an effluent trading program. It can incorporate preregulated water‐pollution control policies directly into its optimization process, such that an effective linkage between environmental regulations and economic implications (i.e., penalties) caused by improper policies due to uncertainty existence can be provided. The RIFP model is applied to point‐nonpoint source effluent trading of the Xiangxi River in China. The efficiency of trading efforts between water quality improvement and net system benefit under different degrees of satisfying discharge limits is analyzed. The results are able to help support (1) formulation of water‐pollution control strategies under various economic objectives and system‐reliability constraints, (2) selection of the desired effluent trading pattern for point and nonpoint sources, and (3) generation of tradeoffs among system benefit, satisfaction degree, and pollutant mitigation under multiple uncertainties. Compared with the traditional regulatory approaches, the results demonstrate that the water‐pollution control program can be performed more cost‐effectively through trading than nontrading.     

Reverse logistics in Malaysia: Investigating the effect of green product design and resource commitment

Reverse logistics and green product design are green supply chain management practices that are being implemented to demonstrate firm's commitment to environmental sustainability. The generation of waste from electrical and electronic equipments prompts the viability of product recovery to salvage invested material and energy. Selection of various reverse logistics product disposition options relies on products’ residual value and the accessibility of reusable content for re-entry in forward supply chain. This study explores the effect of green product design and resource commitment on reverse logistics product disposition by employing empirical analysis on 89 returned mail survey received from ISO14001 certified electrical and electronic manufacturing firms in Malaysia. The results indicated that design for disassembly is necessary to harvest valuable inventories from every product disposition options except of disposal whereas design for environment and commitment of resources have slight influence on repair and disposal activities. As the evidences show that green product design and reverse logistics product disposition are interrelated, firms ought to undertake environmentally proactive approaches to generate benefits from resources that are undeservingly discarded as landfill waste.     

基于轴—辐理论的皖江城市带物流网络空间构建

大力发展现代物流业和皖江城市带承接产业转移示范区建设是两大重要国家级战略.首先对轴—辐理论的国内外研究现状进行了总结和归纳,分析了轴—辐网络的结构及其优劣势.其次,设计了物流中心性指数的评价指标体系,运用主成分分析法对皖江城市带的9个地级城市进行物流节点等级划分,根据分析结果的总得分和区位特征确定合肥、芜湖、安庆3个一级物流节点,形成轴三角.分析了各级物流节点间的干线及支线物流通道,构建了皖江城市带轴—辐物流网络空间.     

Practices of energy use management and sustainable performance in Brazilian mineral industries

Energy is an essential asset for the existence of industrial activities, however, the absence of energy use management may lead to numerous environmental, economic, and social impacts. Thus, industries, which are major consumers of energy, play an essential role in seeking to preserve the energy system. This study aimed at analyzing the practices of energy use management and their relation to sustainable performance in the industries within the Brazilian mineral sector. The practices of energy use management were measured using the model proposed by Liu et al. (2012, Journal of Cleaner Production, 26, 79–89). After that, evidence of sustainable performance was identified based on performance indicators developed by the Global Reporting Initiative (2006, 2010, 2014). The study is characterized as quantitative, and it was conducted through a survey of industries linked to the Brazilian Mining Association. Through our results, we verified that the practices related to energy use management existent in the companies that we studied are subjected to periodic verification of the impacts caused by company activities on the environment, and that attention to energy use provides an incentive to daily practices of energy saving. On the other hand, the practices of energy use management are still little disseminated among these companies, as is certification to the International Organisation for Standardization's (ISO) Energy Management Systems framework, ISO 50001. In general, through the analyses that we performed, we can verify the existence of positive associations between the factors related to the practices of energy use management and to corporate sustainable performance.     

湖北省港口物流体系的空间分析

从系统论角度,以港口空间结构为切入点,采用定性与定量相结合的方法,研究了湖北省港口物流发展的集、疏、运条件。分析了湖北省港口物流腹地经济的水平与规模、港口物流体系的空间结构,提出了湖北省港口物流空间布局构想。     

The effective practices of mobile phone producers' green supply chain management in reducing GHG emissions

The aim of this study is to identify management practices that effectively reduce greenhouse gas (GHG) emissions with regard to the green supply chain adopted by mobile phone producers. Six cases were surveyed (Apple, Samsung, LG, Huawei, Nokia, and ZTE). The main source of data was sustainability reports, which were retrieved from the Global Reporting Initiative database. A special data analysis technique called rank analysis was adopted. The results revealed that the effective practices to reduce GHG 1 emissions were related to production process and business travel; those that were effective for reducing GHG 2 emissions were related to facilities accreditation and energy saving; and those effective in reducing GHG 3 emissions were related to logistics and customer practices. No effective actions related to the management of relationships with suppliers were identified by this study. Indicative models for the relationship between actions and GHG emissions were developed, as was a value‐stream map. The previous studies reporting the effective practices in other industries reported results for reducing GHG 1 or GHG 3, or overall GHG emissions, without discriminating among the actions taken to reduce such emissions, although some limited actions were reported. This study describes the effective practices along the whole supply chain—both upstream and downstream—and it also lists the actions related to addressing all the emissions, whether GHG 1, 2, or 3.     

A stochastic fuzzy chance-constrained programming model for energy–environment system planning and management in the City of Beijing

A stochastic and fuzzy chance-constrained programming (SFCCP) model was developed in this study for supporting energy–environment management in the city of Beijing, China. SFCCP was capable of tackling the variables in constraints as fuzzy random variables, which were integration of randomness and vagueness. SFCCP was applied to an energy–environment management system in the city of Beijing. The study results indicated that SFCCP was useful in helping decision makers gain in-depth insights into proposed management system and establish environment-friendly energy allocation alternatives. The application of SFCCP is expected to provide a good demonstration to energy–environment management problems under complex uncertainties.     

南海北部海域油气勘探保障建设选址适宜性研究

为分析南海北部海域油气勘探保障建设选址的适宜性,在广泛研究备选区特征资料的基础上,基于层次分析法(Analytic Hierarchy Process, AHP)原理,以自然环境因素、开发环境因素、基础设施与投资情况以及其他因素作为一级评判准则,建立了包括12项二级评判准则的递进层次结构模型,并以永兴岛、赵述岛和晋卿岛作为3个假定备选区,来验证分析评价模型的有效性和可靠性。AHP评判结果显示,3个备选区的整体优劣指数依次为0.587 1, 0.212 1, 0.200 8;AHP模型的一致性比例CR值为0.020 3。通过分析和筛选影响远海油气勘探保障建设的选址因子,构建基于AHP原理的选址评价模型,可用于分析评价南海北部岛礁油气勘探保障建设选址的适宜性。