Study on Information Exchange Platform for Port Logistics Based on Web Services

Information exchange platform(IEP)for port logistics is used to realize data transmission among different sys- tems and districts by Internet.This paper presents the web services technology used in transferring information for port logistics. The system architecture based on J2EE and B/S mode frame has been constructed to subscribe the distributed information.To en- sure platform independent,extensible markup language(XML)integration technology was also used in the system design.

Exploratory study of logistics service quality scale based on online shopping malls

Online shopping has already become the new mode that a lot of customers try to adopt. At the same time, the online shopping could not be successfully completed without logistics service. Logistics service quality (LSQ) has significant impact on revenue and profitability. This paper presents the issue from the perspective of the customer, and explores the initial factors of LSQ based on the online shopping through in-depth interview and the Delphi method. The survey uses a standard 7-point Likert-type scale to measure the LSQ. Empirical research results are shown in detail to confirm seven LSQ dimensions with Chinese characteristics, including timeliness quality, personal contact quality, order quality, order discrepancy handling, order condition and convenience. Statistical analyses of the investigation were conducted to test the reliability and validity of the LSQ evaluation model.

Study on Task Assignment of Two-stage Multi-service Capability Port Logistics Service Providers

This paper mainly studies the problem of multi-task assignment of providers in port logistics service supply chain.As a core enterprise,port plays the role of logistics service integrator.With the continuous development of industrial integration,logistics service providers not only provide one kind of logistics service,but also develop into composite suppliers who capable of providing a variety of logistics services.This paper studies the task assignment problem of multi-service capability providers in the port logistics service supply chain.The two-stage logistics service provider task assignment model was built,which is based on the mixed evaluation method(including MOORA and FMEA)and the multi-objective planning method.Eventually,the effectiveness of the model method was verified by combining with an example.

Authentication and Access Control in RFID Based Logistics-customs Clearance Service Platform

The content security requirements of a radio frequency identification （RFID） based logistics-customs clearance service platform （LCCSP） are analysed in this paper. Then, both the unified identity authentication and the access control modules are designed according to those analyses. Finally, the unified identity authentication and the access control on the business level are implemented separately. In the unified identity authentication module, based on an improved Kerberos-based authentication approach, a new control transfer method is proposed to solve the sharing problem of tickets among different servers of different departments. In the access control module, the functions of access controls are divided into different granularities to make the access control management more flexible. Moreover, the access control module has significant reference value for user management in similar systems.

Evaluation and Optimization of the Logistics Service of Agricultural Products:an Empirical Analysis Based on Analytic Hierarchy Process

This research,from the theories of management science,supply chain management and logistics engineering,on the basis of extensive investigations,and using the method of analytic hierarchy process(AHP),evaluates the present situation of logistics service of agricultural products.Taking Nanping City(Nanping)as a case,it explores the obstacles existing in current logistics service system and the factors limiting the development of agricultural product logistics service.Combining with the theory of modern logistics system,it reveals the problems in the logistics system and the causes,and then constructs the strategy of optimization for agricultural product logistics service in Nanping.The conclusion of the study can be references for the government to make scientific strategies for the development of the agricultural product logistics service and help logistics enterprises improve their service level.

Game Theory Based Decision Coordination Strategy of Agricultural Logistics Service Information System

Under the background of“Internet plus”rapid development,the agricultural logistics industry should apply information technology to every link of the agricultural product logistics industry chain.By making full use of the decision making module of the agricultural logistics information system,we can realize the full sharing of information and data resources,which makes the decision-making scheme of the agricultural logistics information system more optimized.In real economic society,the uncertainty and mismatch between the customer’s logistics service demand and the logistics service capability that the logistics service function provider can provide,that is,when the two information are asymmetric,how to use the third-party contract to coordinate the income and profit distribution of the two,to make the information system decision making more reasonable?This paper mainly studies the coordination scheme of agricultural logistics information system decision making under uncertain output and demand information by introducing the spot market.A joint coordination strategy based on revenue sharing and penalty feedback contracts proposes decentralized decision making based on game theory.Experiments show that the flexible ordering strategy proposed in this paper can reduce the logistics service supply chain’s uncertainty and significantly improve the logistics service supply chain’s overall income level through coordination contracts.

Survival Analysis of Logistics Service Providers: An Empirical Study of Chengdu, Area in China

This paper worked on a sample of 6791 logistics establishments registered in Chengdu, China over the period 1984-2016 to understand the survival status of logistics service providers (LSPs) by non-parametric Kaplan-Meier estimation, together with Cox proportional hazard regression model, to identify factors affecting the failure of LSPs. In particular, it studies the interaction effect between LSPs’ size and entry timing and location. The empirical results show that: 1) Regarding the survival time, 1365 of the 6791 sample LSPs exited from the market by 2017. The exit rate is 20.1%, and the average life of the 6791 LSPs is about 6 years. 2) The survival of LSPs depends on their typology, ownership structure. And there is no significant difference in the probability of survival for both independent LSPs and logistics branches after controlling the effects of other variables. 3) Location and entry timing also play an important role in the survival of small-scale LSPs, but these factors cannot explain large-scale LSPs’ failure.

Survey of Sustainable Logistics Services via Text Mining

Environmental sustainability has recently become more and more of a concern in logistics service industry. Although studies on sustainable initiatives among logistics service providers (LSP) have been increasing in the extant literature, still little investigation has been performed between LSPs and shippers. The present paper aims to demonstrate award-gained sustainable logistics service initiatives implemented during the period 2006-2017 in Japan. Different with questionnaire- and interview-based studies employed in literature, we use text mining technique to explore the co-occurring links of data, i.e. connections of the practices, to present the collaborative sustainability actions carried out through providing and requiring logistics services. In contrast to the research regarding green supply chain management focused on manufacturing perspective, this study is positioned in the dual sides of consignors and logistics business operators, to depict their combined effort in achieving sustainability goals. The results of the study showed that text mining technique is useful for summarizing and presenting data in this research area. However, much remains to be learned about how to deal with the data more means-end logically for revealing more indirect associations between the data.

An Optimization Model for Aircraft Service Logistics

Scheduling is one of the most difficult issues in t he planning and operations of the aircraft services industry. In this paper, t he various scheduling problems in ground support operation of an aircraft mainte nance service company are addressed. The authors developed a set of vehicle rout ings to cover each schedule flights; the objectives pursued are the maximization of vehicle and manpower utilization and minimization of operation time. To obta in the goals, an integer-programming model with genetic algorithm is formulated . It is found that the company can produce an effective and efficient schedules to deploy the manpower and equipment resources. Simulation is used to verify the method and a MATLAB program is used to code the genetic algorithm. This model i s further illustrated by a case study in Hong Kong and the benefit elaborated. F inally, a conclusion is made to summarize the experience of this project and pro vide further improvement.

Research of Order Allocation of E-commerce Logistics Service Supply Chain Considering Customer Evaluation

Based on the importance of customer evaluation for developing e-commerce enterprises,this paper analyzes the customer evaluation as a fuzzy variable and establishes a multi-objective mixed integer order allocation planning model by considering customer satisfaction,which maximizes customer praise and minimizes procurement cost.As the optimization goal,transaction cost is optimized for the order allocation of the secondary e-commerce logistics service supply chain.In order to defuzzify the customer evaluation,a fuzzy evaluation method is designed to transform the customer evaluation from fuzzy language evaluation to numerical measurement.Finally,the feasibility and effectiveness of the model are verified by using a specific example,and the order is made for the e-commerce enterprise.The allocation provides a theoretical reference.

Delivery Service Management System Using Google Maps for SMEs in Emerging Countries

This paper proposes a Delivery Service Management(DSM)system for Small and Medium Enterprises(SMEs)that own a delivery fleet of pickup trucks to manage Business-to-Business(B2B)delivery services.The proposed DSM system integrates four systems:Delivery Location Positioning(DLP),Delivery Route Planning(DRP),Arrival Time Prediction(ATP),and Communication and Data Sharing(CDS)systems.These systems are used to pinpoint the delivery locations of customers,plan the delivery route of each truck,predict arrival time(with an interval)at each delivery location,and communicate and share information among stakeholders,respectively.The DSM system deploys Google applications,a GPS tracking system,Google Map APIs,ATP algorithms(embedded in Excel Macros),Line,and Telegram as supporting tools.To improve the accuracy of the ATP system,three tech-niques are applied considering driver behaviors.The proposed DSM system has been implemented in a Thai SME.From the process perspective,the DSM system is a systematic procedure for end-to-end delivery services.It allows the interactions between planner-driver decisions and supporting tools.The supporting tools are simple,can be easily used with little training,and require low capital expenditure.The statistical analysis shows that the ATP algorithm with the three techniques provides high accuracy.Thus,the proposed DSM system is beneficial for practitioners to manage delivery services,especially for SMEs in emerging countries.

中国农业服务与农业生产的互动关系研究——基于分时段Logistic共生演化模型

本文梳理了农业服务与农业生产互动发展的阶段特征,并基于产业共生视角建立分时段Logistic共生演化模型,利用中国2003—2019年相关数据对农业服务与农业生产发展过程进行模拟演化。研究发现二者发展存在明显共生关系,目前阶段农业服务对农业生产的促进作用更强,属于非对称互惠共生模式。基于研究结果提出通过提高农业服务的战略地位、提升农业产业化水平等方式促进农业服务与农业生产由非对称互惠共生向对称互惠共生演进。

Web Services技术在物流上的应用

由于物流软件与企业ERP软件间平台、语言等差异,影响了信息资源的有效融合,而采用Web Services可有效解决此问题。通过在PocketPC(客户端)上远程调用Web Services发布的接口函数,实现与服务器端信息交互的例子,阐述了Web Services技术在物流上的应用过程。

基于Web Services技术实现物流动态联盟

提出了利用WebServices技术实现物流动态联盟的方案。首先利用XML技术建立物流信息的规范,然后对每个物流企业设立UDDI代码,通过SOAP对物流企业进行集成。通过物流动态联盟的建立,可有效地节约资源。

南京市居民口腔卫生服务利用影响因素的Logistic回归分析

目的:探讨南京市居民口腔卫生服务利用的影响因素,为发展合理有效的口腔保健服务体系提供依据。方法:采用分层、整群、随机方法抽取南京市6个城区1200人进行问卷调查,应用Logistic回归建立口腔疾病的就诊概率预测模型。结果:单因素分析显示婚姻状况、文化程度、职业、收入和居民对是否患有口腔疾病的认知状况与口腔卫生服务利用显著相关。多因素Logistic回归分析显示文化程度、职业、认知和收入等因素显著影响居民口腔卫生服务利用。结论:文化程度、职业、收入和认知状况等是影响南京市居民口腔疾病就诊概率的主要因素。

基于定序logistics回归模型下乌鲁木齐市居民社区卫生服务利用影响因素分析

目的:调查分析乌鲁木齐市居民利用社区卫生服务的影响因素,并提出政策性建议。方法:自制问卷,采用随机抽样方法,抽取乌鲁木齐市2所公立性社区卫生服务中心500位居民作为本课题研究对象,对其进行问卷调查,采用多因素Logistic回归分析居民利用社区卫生服务的影响因素。结果:通过定序logistics回归分析发现社会学人口因素(年龄、文化程度)、健康状况因素(患慢病情况、两周患病情况)及知晓情况是居民利用社区卫生服务的影响因素。结论:加大社区卫生宣传,注重社区基本医疗,提升社区卫生服务质量,提高居民的社区卫生服务利用率。

基于Web Service技术的综合物流模型

对WebService技术的基本特征进行了探讨,并应用WebService和SOAP的开放特性,设计企业综合物流系统,解决了企业物流跨网络、跨平台数据通信以及系统间灵活集成的问题。

基于有序Logistic回归的城市人行道服务水平研究

科学的人行道服务水平评价方法可以为营造良好的步行出行环境提供有力的理论支撑.针对人行道服务水平等级为定序变量的特点,本文提出了基于有序Logistic回归模型的人行道服务水平评价方法.首先,选择北京市交通枢纽地区34条典型人行道进行行人满意度调查,获取典型、全面的数据样本;然后,采用模糊C均值聚类方法得到行人满意度与人行道服务水平等级的对应关系;最后,应用逐步回归方法提取人行道服务水平显著性影响因素并分析其影响机理,进而建立人行道服务水平等级的有序Logistic回归模型.通过实际验证,模型精度较现有的线性回归模型有所提高.

基于Web Service的区域物流信息平台构建研究

为了在不同系统结构、不同数据结构的系统之间进行业务功能调用和业务数据交换,文章提出基于Web Service的区域物流信息平台。通过把业务封装成Web Service,供其他系统调用。基于Web Service的区域物流信息平台能够很好地实现与平台内部、外部、同级、不同级系统之间的业务功能调用和业务数据交换,并且具有较好的开放性和可扩展性。