基于安全可靠度的云南松茸冷链物流配送优化CSSCI

基于安全可靠度的云南松茸冷链物流配送优化,以云南松茸为研究对象,将安全可靠度纳入到松茸冷链物流配送过程中,建立优化配送的理论模型。然而,将安全可靠度引入松茸冷链物流配送环节的实施仍较困难,究其原因是安全可靠度带来的高额成本、信息不对称、软硬件设施落后等一系列问题和障碍。针对这些问题,从实施安全可靠的共同配送模式、建立安全可靠度的冷链信息共享平台、合理布局冷链配送网点等方面对松茸冷链物流配送进行了优化配置。     

基于安全可靠度的云南松茸冷链物流配送优化

基于安全可靠度的云南松茸冷链物流配送优化,以云南松茸为研究对象,将安全可靠度纳入到松茸冷链物流配送过程中,建立优化配送的理论模型。然而,将安全可靠度引入松茸冷链物流配送环节的实施仍较困难,究其原因是安全可靠度带来的高额成本、信息不对称、软硬件设施落后等一系列问题和障碍。针对这些问题,从实施安全可靠的共同配送模式、建立安全可靠度的冷链信息共享平台、合理布局冷链配送网点等方面对松茸冷链物流配送进行了优化配置。     

冷链物流系统安全可靠度评价优化研究

近年来冷链物流安全可靠度评价问题越来越受到社会和学术界的关注,但我国冷链物流行业尚未建立完善的冷链物流安全可靠度评价体系,只注重硬件设施建设而忽视了生鲜品配送安全可靠度的重要性.从确立安全可靠度模型的方法、安全可靠度指标、权重系数、鲁棒性等方面分析了冷链物流安全可靠度评价中存在的问题,并从运用科学方法选取指标、综合打分、客观赋权、信息共享渠道、扩展指标体系等方面提出相应对策建议.     

云南冷链物流技术设备现状与优化对策分析

冷链物流技术设备对提高云南生鲜农产品竞争力至关重要,分析云南冷链物流技术设备配置情况与优化对策具有重要意义。通过调查发现,云南冷链物流预处理、冷藏、装卸和运输技术设备存在普及率低、安全防范不到位、难以适应农产品特点与配备不足等问题,在此基础上提出对策建议,以解决当前云南冷链物流技术设备面临的困难。     

促进城市冷链物流资源向农村合理转移的措施研究——以云南欠发达地区为例

冷链物流资源在农村和城市有着很大的差距,这种差别影响到生鲜食品在城乡间的有效配送,因此研究冷链物流资源向农村合理转移的措施具有重要意义.基于云南欠发达地区城市和农村冷链物流现状,分析了农村冷链物流的不足和城市能提供的帮助,并在此基础上提出相应的对策和建议.研究表明,信息、交通、运输成本、人力、收益率等因素制约了云南欠发达地区冷链物流的发展.为了促进城乡冷链物流协调发展,缩小城乡冷链差距,城市可加大对农村地区的资金、科技和人力扶持,促进城市的优质资源向农村转移,以实现冷链物流整体效率的提高和社会资源的合理配置.     

基于政府视角的冷链物流资源合理配置策略分析

近年来,冷链物流业在中国逐渐兴起并迅速发展,但发展中也存在着诸多问题,其中最突出的问题是冷链资源配置不合理和政府在资源配置过程中的缺位。从冷链物流参与方之间的道德风险管理、各冷链物流企业间的竞争与合作、冷链物流设备的经营成本控制、中小型冷链物流企业融资贷款、人才资源等方面分析了冷链物流资源配置存在的问题,从市场机制、跨区域合作、冷链物流设备维护和更新、融资贷款模式、人才体系等方面提出了相应对策建议。     

甘肃省兰州市特色农产品物流库存控制模型探讨

结合现代物流库存管理思想及其运作实践,以追求最优物流服务质量,求得库存利润最大时的最优经济批量为目标,建立库存控制新模型.模型引入直接影响物流服务质量的参数:及时交货率和安全交货率.设定假设,确定相关参数:单位库存成本、单位缺货成本、产品需求函数、库存收入、库存利润,建立模型并实践应用.对此模型进行分析讨论,并提出具体的对策建议,以便更好地实现兰州市特色农产品物流库存控制目标.     

云南欠发达地区生鲜农产品冷链物流中的问题与对策

生鲜农产品冷链物流是云南省建设面向南亚、东南亚区域冷链物流中心的一个十分重要的组成部分,因此研究云南省欠发达地区生鲜农产品冷链物流存在的问题及其解决对策具有重要的意义.通过实地调研和访谈,得出云南省欠发达地区生鲜农产品冷链物流中存在产量分布不均、路况差、冷链设备运行和维护困难、冷储前预处理不合理等几大问题.在此基础上,提出借助物流选址理论科学选址,提高设备通过复杂路况能力,建立总公司技术人才定点帮扶制度,加强农产品预处理和预包装等多项对策措施.     

库存与运输联合优化的障碍因素及应对策略

库存与运输联合优化（ITIO）是将物流系统中的库存控制和运输管理融合到一个大问题中,寻求这一联合问题的最优解决方案,优化整个配送系统的运营成本。ITIO具有缓解“牛鞭效应”、节约运作成本、提高服务水平等优点,但在实施过程中会遇到信息泄露、决策权分配、联合优化利润分配、道德风险等问题。在对ITIO优势和制约因素分析的基础上,提出其实施的对策建议。     

四川松茸资源的分布、利用与保护

松茸[Tricholoma matsutake(Ito.et Imai) singer]属口蘑科,口蘑属。又名松口蘑、松蕈、松蘑,四川商品名称为青菌。松茸很早就引起了真菌学家的重视,如在1000年前的日本古籍《拾遗和歌集》(988年)、《枕草子》、《紫式部日记》、《七佐日记》(934—935年)中就有关于松茸风味的记载。我国松茸产区(东北的吉林、延边、川西南、云南、广西、贵州、西藏等)很早就采食它并进行加工保藏。松蕈一     

基于任务成功率的装备综合保障工作体系及协同设计环境研究

本文介绍了基于任务成功率的装备综合保障工作体系框架,提出了可靠性、维修性、测试性、保障性、安全性协同设计环境要求,从而为进行可靠性、维修性、测试性、保障性、安全性综合优化设计奠定基础。     

云南省物流业人力资源供给特征分析

云南省是我国面向东南亚、南亚的重要陆路通道,要打造国际型现代物流中心,必定需要一支高素质的物流人才队伍。未来10年,云南省的物流人才缺口将在30万人以上,物流业成为最大的紧俏职业之一。分析云南物流人力资源供给的特征以及影响供给的因子,对云南省物流人力资源的开发和配置具有现实指导意义。     

基于农校对接的高校食品安全管理研究

从高校食品工作的特点出发,总结了高校食品安全的特点,提出了＂农校对接＂的解决途径,并分析了开展农校对接的意义,从高校食品安全管理者、食品供应者、物流等角度阐述了开展农校对接的具体措施。     

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.     

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 HYDROLOGIC INVENTORY SYSTEM1

The decision making process in development of water resources has often been subjective. A scheme for inventorying the hydrologic properties of watersheds would be a powerful tool, providing objective criteria that can be used in judgments and which can be applied in surveys for water management or conservation purposes. Such an inventory was used in studying the Green River, Wyoming and Little Miami, Ohio. The classification system considered characteristics of the water budget, variability and reliability of flow, and water quality. Class ranks for water budget were based on amount of runoff and water loss. Regulation and variation in flow were ranked on impoundments, variability index, coefficient of variability, 90% flow duration and maximum flow index. The streams’ chemical and solid loads were also considered. Classification of the Green and Little Miami rivers pointed out distinctive differences between their hydrologic characteristics. The inventory can thus be examined to compare stretches of river or whole watersheds, objectively determining the best possible use.     

建立和完善物流成本核算规范体系

降低物流成本，提高物流效益是现代物流的目标。建立科学规范的物流成本核算体系，是实现这一目标的先决条件和基础性工作。针对我国物流成本核算方面落后的现状，借鉴物流管理先进国家经验，制定我国物流成本核算规范，保证企业物流成本核算有据可依，有章可循。     

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.     

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.     

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.