废旧电脑的逆向物流优化模型与应用研究

加强废旧电脑的回收控制已经成为急需解决的关键问题.分析了逆向物流的国内外研究现状,目前主要研究方向包括逆向物流网络规划、库存控制和生产计划等.通过建立电子产品制造企业供应链,分析了电子产品回收的基本原理,建立废旧电脑逆向物流的优化模型.根据模型提出了废旧电脑在珠江三角洲地区的逆向物流解决方案,计算结果表明模型合理可行,在没有政府补贴下废旧电脑的逆向物流运营是亏损的.     

Implementing just-in-time philosophy to reverse logistics systems: a review

Just-in-time (JIT) and reverse logistics are two important philosophies. Coincidentally, both are related to reducing the impact on the environment. However, they are sometimes in conflict with each other. The former focuses on moving the materials smoothly which require a stable demand and supply, but the latter is weak in terms of predicting how many returned products will be processed. Therefore, there is a need to investigate the impact of JIT to reverse logistics systems. After an extensive literature review based on a model developed for this purpose, different functions, namely reverse logistics structure, process model, product life cycle, information system model, and JIT performance, have been identified that have great impact on integrating JIT with reverse logistics. In short, a process model with JIT can have a better control on cost and efficiency of reverse logistics activities, and product life cycle management with JIT helps to design the product that consider the reverse activities in various process models. An information system can support both process model and product life cycle management for JIT reverse logistics. Details are presented in this paper.     

Product acquisition management: Current industry practice and a proposed framework

Remanufacturing requires that used products (cores) be obtained from the enduser at the end of their current life cycle so that the value-added may be recovered and the products returned to functional use again. The acquisition of cores to be remanufactured in such recoverable manufacturing systems is a complex set of activities that requires careful coordination to avoid the uncontrolled accumulation of core inventory, or unacceptable levels of customer service. The authors report on current industry practice via an extensive survey of North American remanufacturing firms. The authors propose a formal framework for Product Acquisition Management (PrAM) to coordinate, monitor, and provide an interface between reverse logistics and production planning and control activities. Finally, a series of managerial guidelines for the organization of PrAM activities is proposed. We conclude that managers should take actions that consistently reduce the variance inherent in a remanufacturing environment.     

Heuristics for solving disassemble-to-order problems with stochastic yields

Within the realm of reverse logistics, remanufacturing has become renowned as a popular option in many reverse logistics settings. In remanufacturing, firms take back products at the end of their use, disassemble them to obtain components, and reassemble these components into a “good as new” remanufactured product. As a process, remanufacturing requires parts as an input, parts which are gained mostly from recovered products. As the quality of the returned products are not known in advance, likewise the amount of good quality parts recovered from the returned product is subject to uncertainty. In this paper, we develop two heuristics of different sophistication which take into consideration that the yields of disassembly are stochastic. The methodology is further illustrated with a numerical example, and performance of the heuristics is examined through a performance study. The performance study indicates excellent performance for the more sophisticated heuristic, but also reveals under which conditions the more simple heuristic can be recommended for application.     

A multi-agent architecture for reverse logistics in a green supply chain

Green supply chain issues have attracted a lot of attention in recent years with growing awareness of environmental concerns. This has drawn the considerable world-wide attention of academics and practitioners. Therefore, recycling has now become an integral component of the supply chain. Recycling of used products and the related logistics management pose a significant challenge to manufacturing industries. In order to resolve the complexity of the task, this study proposes a multi-agent architecture to handle recycling and reverse logistics issues, which have so far been neglected. It addresses the different aspects of recycling such as waste classification, recycling, logistics and reuse of products. Additionally, it also discusses how the agent communicates and acts autonomously to facilitate the efficient logistics of materials between different units. The proposed agent architecture can assist manufacturing industries in efficiently managing their green supply chain system and complex logistics issues.     

基于启发式算法的乘用车物流运输问题分析

伴随着汽车工业的高速崛起,乘用车物流运输问题也快速走进人们的视野。由于现在很多物流公司在制定运输计划时主要依赖调度人员的经验,在面对复杂的运输任务时,往往效率较低且运输成本不尽理想。考虑到影响乘用车物流运输成本的主要因素分别为轿运车的使用数量、轿运车的单价以及行驶里程数等等,本文采用建立逐级目标的模式,应用启发式算法,结合计算机软件,给出了求解乘用车物流运输问题的数学模型。应用此模型求解了2种不同类型的乘用车物流运输问题,提出了合理的运输方案。此项工作对今后物流公司处理此类运输问题提供了重要的参考价值。     

State of the art review of quality,reliability and maintenance issues in closed-loop supply chains with remanufacturing

The design of reverse logistics and remanufacturing processes and the recovery of end-of-life products have been well-studied in the literature. Quality, reliability, maintenance and warranty for recovered products and the remanufacturing activities that extend their life are integral issues in reverse logistics. This paper reviews recent and relevant literature on these issues in closed-loop supply chains, with a focus on remanufactured or second-hand products. The published literature is first classified into domain areas of research and practice. The wide array of mathematical tools and techniques used in the literature are then identified and mapped. Finally, the findings are summarised and the main research gaps are highlighted.     

Treatment and recycling system optimisation with activity-based costing in WEEE reverse logistics management: an environmental supply chain perspective

Waste electrical and electronic equipment (WEEE) reverse logistics management has increasingly received much attention in recent years not only because of the fast increase of WEEE but also the legislations in many developed countries. This paper focuses on the treatment and recycling system, and proposes a two-stage multi-objective decision framework. In the treatment stage, the responsible producer selects treatment suppliers under extended producer responsibility by a pre-emptive goal programming model. After the wastes are depolluted and transformed to recyclable materials, the process enters the recycling stage in which the decision-maker plans the reclaimed material production by a linear programming model for profit maximisation. An illustrative case study is presented, and the sensitivity analyses show that the ranking of suppliers is more stable than the quantities allocated to suppliers under different priority structures, so ranking of suppliers should also be given attention in such multi-objective decision-making. In addition, a decision model with environmental constraints can reduce the production of the products that have more environmental impacts.     

绿色包装对低碳物流的影响

在低碳经济的大背景下,物流活动呼唤“低碳”与“绿色”。然而,中国物流业的低碳发展之路受制于观念落后、引导和管理政策滞后、行业发展模式粗放、物流设施装备陈旧、物流业与其他行业协同不够等诸多因素,低碳物流举步维艰。而包装是物流活动的基础,大力发展绿色包装可促进低碳物流的实现。绿色包装对低碳物流起到促进作用的途径有二：一是包装材料的减量化和绿色包装材料的研发与应用,二是包装方式在设计与应用上的绿色环保,努力实现物流与包装的统一。     

Horizontal collaboration: opportunities for improved logistics planning

The logistics industry is a critical economic component in most countries and has a significant impact on their citizens' quality of life. In the U.S., 48 million tons of freight valued at more than $46 billion are moved every day and serve 300,000 manufacturing sites, 350,000 warehouses, and 7.5 million businesses. However, the industry is plagued with inefficiencies that can negatively impact corporate profits, the environment, urban congestion, and worker well-being. No single solution will address all of these issues; however, horizontal collaboration appears to offer an opportunity to take a significant step in the right direction. There is an abundance of opportunities for logistics service providers to collaborate, but there is little effective collaboration in practice, and the issues related to this gap remain largely unexplored by academic researchers. This paper offers a review of the existing research in horizontal collaboration, specifically highlighting efforts focussed in the areas of on-demand logistics, freight consolidation, facility sharing, incentives, case studies, and quantitative analyses. A path for pursuing an improved logistics system is offered, and specific research needs in the collaborative logistics field are detailed. We conclude with a discussion of emerging issues that will have immediate impacts on horizontal collaboration efforts.     

Data analytics and optimization for smart industry

Industrial intelligence is a core technology in the upgrading of the production processes and management modes of traditional industries. Motivated by the major development strategies and needs of industrial intellectualization in China, this study presents an innovative fusion structure that encompasses the theoretical foundation and technological innovation of data analytics and optimization, as well as their application to smart industrial engineering. First, this study describes a general methodology for the fusion of data analytics and optimization. Then, it identifies some data analytics and system optimization technologies to handle key issues in smart manufacturing. Finally, it provides a four-level framework for smart industry based on the theoretical and technological research on the fusion of data analytics and optimization. The framework uses data analytics to perceive and analyze industrial production and logistics processes. It also demonstrates the intelligent capability of planning, scheduling, operation optimization, and optimal control. Data analytics and system optimization tech-nologies are employed in the four-level framework to overcome some critical issues commonly faced by manufacturing, resources and materials, energy, and logistics systems, such as high energy consumption, high costs, low energy efficiency, low resource utilization, and serious environmental pollution. The fusion of data analytics and optimization allows enterprises to enhance the prediction and control of unknown areas and discover hidden knowledge to improve decision-making efficiency. Therefore, industrial intelligence has great importance in China’s industrial upgrading and transformation into a true industrial power.     

End-of-life (EOL) issues and options for electric vehicle batteries

Nearly all global players in the auto industry are now producing electric vehicles (EV). Many studies indicated that by year 2020, 6 millions could be sold in US alone and about 11 million worldwide. As the number of EVs increases, there is need to have well-defined end-of-life (EOL) strategy for the batteries removed from EVs as part of collective efforts to transform the auto industry to environmental friendly industry. Recycling has been proposed as the EOL option for the EV batteries, but there are many issues that make recycling less justifiable, this paper lays out those issues and proposes remanufacturing as the alternate and appropriate EOL option. In view of this, the paper details research issues which require thorough studies to make EV batteries remanufacturing feasible and effective.     

Lessons learned from an unsuccessful “catching-up” in the automobile industry of Iran

In contrast to existing studies mostly investigating successful cases of technological catching-up, this paper aims to analyse a limited catch-up by an Iranian automobile firm. Using thematic analysis, and based on the conceptual framework developed in the literature review, the empirical data were coded and categorised into the themes and dimensions. The resulting contextualized framework, as one of the main contributions of this study, suggests how the certain sectoral environment of the automobile industry contributes to the lackluster performance of catching-up by the domestic firm. The sectoral environment (i.e. technological regimes, market regimes, and government policies) of Iran's automobile industry (IAI) is characterized by ineffective technology transfer, diverse technological areas, high tacit knowledge, the extensive backward linkages, high scale intensity, under-developed domestic supply chain, capital-goods attitude to the consumer goods, the oligopolistic structure, and homogeneous market. This paper also identifies new catch-up's influencing factors (i.e. industrial strategy and structural issues) inductively emerged during the empirical data analysis. And finally, comparison of the automobile industry in Iran and a few Asian countries shows that local content requirements (LCRs) will not bring about indigenous development unless it is complemented by the export market discipline and scale economy.     

Sustainable development of China's commercial vehicles

Automobiles are the major contributor to fuel consumption and emission of pollutants.The growth of the vehicle fleet has also placed enormous pressure on China's energy supply and environment.Thus sustainable development of the Chinese automotive industry must pay significant attention to fuel-saving and emission-reduction of vehicles.Although commercial vehicles make up only about 20%of the entire automobile fleet,their contribution to energy-consumption and emission of pollutants is significant.Thus,priority should be given to fuel-saving and emission-reduction of commercial vehicles.As a result of concerted efforts by Chinese government,industry and enterprises,great progress has been made in technologies concerning new-energy,intelligent and lightweight automobiles.However,compared with developed countries,the level of lightweighting of commercial vehicles produced in China remains comparably low.This means that great potential for development of lightweight commercial vehicles in China exists and it will be an efficient path towards fuel-saving and emission-reduction.     

From waste to value – a system dynamics model for strategic decision-making in closed-loop supply chains

Although the field of closed-loop supply chain management has attracted a lot of attention in recent years and the management of reverse logistics processes has become a major field of supply chain management, there is still a lack of research conducting analyses using a comprehensive approach that takes the complexity of problems of reverse logistics processes into account. Hence, the purpose of this paper is to develop a model that allows an original equipment manufacturer in the electronics industry to test different value recovery strategies for business-to-business products in a closed-loop supply chain setting. For this purpose system dynamics is used because this approach enables one to capture the high complexity of reverse logistics processes and is suitable, contrary to traditional optimisation approaches, for analysing the dynamic behaviour of closed-loop supply chains comprehensively. The simulation analysis identifies leverage points for the improvement of decisions concerning reverse logistics. In particular, the simulation runs conducted highlight the high complexity and connectivity inherited with various value recovery processes. The paper contributes to a better understanding of supply chain dynamics, the impact of product backflow, and reverse logistics.     

Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach

Considering the key issues involved in environmental-friendly disposal of end-of-life (EOL) computer, its supply chain should be designed to incorporate the key dimensions of reverse logistics. An important managerial decision-making activity undertaken by reverse logistics managers is selection of feasible projects that could be completed according to the resources available. The reverse logistics project selection is a multi-criteria decision-making (MCDM) problem. While the experience and expertise of reverse logistics managers could work out for small sized projects, it might not be fruitful for multiple-criteria large sized reverse logistics in arriving at a proper decision related to selection of projects. The reverse logistics projects involve interdependencies among the criteria and the candidate reverse logistics projects. In this paper, a combination of analytical network process (ANP) and zero one goal programing (ZOGP) is used as solution methodologies to deal with the above problem. The ANP is used to determine the degree of interdependence among the criteria and candidate reverse logistics projects, while ZOGP permits the consideration of resource limitations and other constraints in arriving at the solution. The hybrid approach using ANP and ZOGP provides a realistic representation of the problem related to the selection of feasible reverse logistics for EOL computers.     

基于供应链节点和线路的物流能力核算方法研究

从供应链的角度研究物流能力定量核算的方法.以汽车行业供应链为背景,建立核算供应链物流能力的模型,以供应链节点和线路能力为约束,分供应物流、生产物流和分销物流3个阶段核算供应链系统的物流能力,得出了以单位时间内流出供应链产品数量表示的供应链物流能力,提出了供应链物流能力优化的两个基本原则:一是识别并消除瓶颈环节,并给出了识别瓶颈环节的定量方法;二是保持供应链各环节物流能力的协调一致.     

Operations management of smart logistics: A literature review and future research

The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.     

Evaluating reverse third-party logistics operations using a semi-fuzzy approach

The responsiveness and efficiency of distributed and multi-echelon supply chains are increasingly reliant upon reduced cycle times within forward and reverse logistics operations. Within the high-tech industry, Reverse Logistics (RL) in the form of end-of-life, stock balancing, defective/warranty, recycle, and re-use product returns, is particularly important owing to the complexity and dependency that exist throughout the extended supply chain in order to maintain brand loyalty and customer satisfaction (source, OEM vendors and end customers alike). RL is fast becoming a strategy to acquire an organisational competitive advantage, making the quest to exploit such a function a premeditated decision. The introduction of Third-Party Logistics (3PL) providers has become a necessity for those supply-chain operations where issues of cost and risk mitigation need to be balanced with agility and responsiveness. This paper develops a conceptual framework of the factors influencing Reverse 3PL based upon Information Systems (IS) and associated Resource Commitment (RC) factors. The framework is then tested using a mixed-method research based approach using a 3PL organisation based in Thailand. The research findings reveal that among the proposed factors, IS- and RC-based operating performance, resource cost-effectiveness and RC (at financial, managerial and technological levels in the firm) were deemed to have a stronger positive relationship and input into reverse 3PL operations for the firm in context. The model is validated using the techniques of System Dynamics and Fuzzy Cognitive Mapping.