Automobile Transportation Logistics Supply Chain Management Strategy

To enhance the management level and quality of the automobile transportation logistics supply chain and promote innovation and development in automobile transportation logistics enterprises,it is essential to strengthen the construction of the automobile transportation logistics supply chain management model.This can be achieved through the gradual improvement of the automobile transportation logistics management process,ensuring that the management of the automobile transportation logistics supply chain proceeds in an orderly manner.The aim is to improve automobile transportation and logistics service levels while meeting the changing market supply needs.This will enable automobile transportation and logistics enterprises to maintain steady economic benefits and enhance their core competitiveness in the market.Therefore,this paper has conducted a comprehensive exploration and research on managing the automobile transportation logistics supply chain.Corresponding management strategies are proposed as a starting point to achieve the aforementioned goals.

Analyzing the Construction of the International Logistics Supply Chain Management Model from the Perspective of Cross-Border E-commerce

Cross-border e-commerce has progressively evolved with the deepening of economic globalization,and it now holds a significant place in the field of e-commerce.However,due to China’s late entry into the international logistics supply chain,there are issues such as complex environment,uneven information technology,and disagreements on standards,resulting in certain cross-border e-commerce disadvantages in China.Therefore,in this context,this study analyzes the construction of international logistics supply chain management model from the perspective of cross-border e-commerce,so as to provide some reference for the development of China’s international logistics supply chain.

A Proposed Feature Selection Particle Swarm Optimization Adaptation for Intelligent Logistics--A Supply Chain Backlog Elimination Framework

The diversity of data sources resulted in seeking effective manipulation and dissemination.The challenge that arises from the increasing dimensionality has a negative effect on the computation performance,efficiency,and stability of computing.One of the most successful optimization algorithms is Particle Swarm Optimization(PSO)which has proved its effectiveness in exploring the highest influencing features in the search space based on its fast convergence and the ability to utilize a small set of parameters in the search task.This research proposes an effective enhancement of PSO that tackles the challenge of randomness search which directly enhances PSO performance.On the other hand,this research proposes a generic intelligent framework for early prediction of orders delay and eliminate orders backlogs which could be considered as an efficient potential solution for raising the supply chain performance.The proposed adapted algorithm has been applied to a supply chain dataset which minimized the features set from twenty-one features to ten significant features.To confirm the proposed algorithm results,the updated data has been examined by eight of the well-known classification algorithms which reached a minimum accuracy percentage equal to 94.3%for random forest and a maximum of 99.0 for Naïve Bayes.Moreover,the proposed algorithm adaptation has been compared with other proposed adaptations of PSO from the literature over different datasets.The proposed PSO adaptation reached a higher accuracy compared with the literature ranging from 97.8 to 99.36 which also proved the advancement of the current research.

Construction of Network Management Information System of Agricultural Products Supply Chain Based on 3PLs

The necessity to construct the network management information system of 3PLs agricultural supply chain is analyzed,showing that 3PLs can improve the overall competitive advantage of agricultural supply chain.3PLs changes the homogeneity management into specialized management of logistics service and achieves the alliance of the subjects at different nodes of agricultural products supply chain.Network management information system structure of agricultural products supply chain based on 3PLs is constructed,including the four layers (the network communication layer,the hardware and software environment layer,the database layer,and the application layer) and 7 function modules (centralized control,transportation process management,material and vehicle scheduling,customer relationship,storage management,customer inquiry,and financial management).Framework for the network management information system of agricultural products supply chain based on 3PLs is put forward.The management of 3PLs mainly includes purchasing management,supplier relationship management,planning management,customer relationship management,storage management and distribution management.Thus,a management system of internal and external integrated agricultural enterprises is obtained.The network management information system of agricultural products supply chain based on 3PLs has realized the effective sharing of enterprise information of agricultural products supply chain at different nodes,establishing a long-term partnership revolving around the 3PLs core enterprise,as well as a supply chain with stable relationship based on the supply chain network system,so as to improve the circulation efficiency of agricultural products,and to explore the sales market for agricultural products.

Logistics,Supply Chain Management,and Taiwan residents Immigration Assessed in Light of Globalization

Organizations regardless of size can take advantage of the market dynamics brought about by globalization.Supply chain management is crucial for large organizations,especially with regard to the costs,complexity,and risks of its large,often global,supply chains.From technology to risk management,learning what it takes to navigate transportation and logistics business management in today’s volatile world is critical.Human migration has accelerated in light of globalization and rapid advances in transportation(particularly aviation)technology.This study investigated the connection between logistics and supply chain management in the age of globalization;reviewed the migration,settlement,and naturalization of Taiwan residents immigrants along the West Coast of the United States;and theoretically analyzed the forces that have led to the construction of the Taiwan residents immigrant community.Taiwan residents immigrants and their settlement are affected by global forces,and factors such as their cross-cultural trade,the characteristics of diasporic communities,and their national identity can provide scholarly and pedagogical insights.

Logistics Management based on Supply Chain Management

Logistics is an important part of the supply chain and connect all aspects of the supply chain throughout it, which has become business cooperation ties. In the process of developing supply chain logistics strategy, generally require attention to the following questions： To segment customers, we should determine the appropriate level of customer service, such as order cycle, inventory levels and other modes of transport for different types of clients; Group products according to sales on them, we can take different strategies for each category of products. Order entry, order execution and delivery job processing accounted for a large proportion of logistics activities, which requires technology and management to make the entire processes of supply chain logistics more efficient, especially for the interface area between members of enterprises. We can eliminate redundant work by integrating flow, improve logistics efficiency.

Research on logistics management system based on supply chain management

Generally, supply chain logistics is the unification of logistics, information flow and capital flow, logistics runs through the whole process of the supply chain. Logistics connects the individual enterprise in the supply chain and it is the bond of mutual cooperation between enterprises. In that way, the logistics management becomes an important part of the supply chain management system naturally. However, it is not so long since the theory of supply chain management and logistics management put forward so they are still being refined. Besides, it is lack of green philosophy in the logistics management of the supply chain and effect of logistics on the environment and resource efficiency do not be considered synthetically. Yet, methods to solve the problem that customers return items and waste materials have been excluded from the enterprises and business strategy. With the awareness that people should protect the environment and conserve resources enhanced and governments increase the intensity of environmental regulations constraints, the theory and practice of green logistics management are valued by the foreign supply chain management and logistics management theory community and the business community gradually.

Problems and Countermeasures of Logistics in the Marine Fisheries Industry

Based on the connotation of marine fisheries logistics,the thesis gives a brief account of its features:firstly,it is more susceptible to natural conditions;secondly,the aquatic logistics is with strong specialized assets;thirdly,the aquatic products market has relative greater uncertainties;fourthly,it calls for higher logistics technology;fifthly,it is difficult to conduct supply chain management.Then the thesis analyzes the problems in the marine fisheries industry:the first problem is the imperfect standardization system of the aquatic logistics;the second is the backward development in the cold storage of the marine fisheries;the third is low information-based degree of marine fisheries logistics system;the fourth one is the low level of the value-added services;the fifth problem is the immature participants in logistics.In order to solve these problems,this thesis further proposes some countermeasure to develop the logistics in the marine fisheries industry:at first,to build various forms of logistics organization entities;secondly,to gradually realize the integration of logistics functions and performance;thirdly,to strengthen the information construction of marine fisheries logistics;at last,to reinforce the government roles in developing the logistics industry of aquatic products.

The improvement of the logistics management in the modem enterprises

With the increasing development of the logistics industry in China, more and more enterprises increasingly emphasis on logistics management, and initially have made certain achievements in logistics management to carry out the majority of small and medium enterprises in China which is less than ideal. The logistics has great potential in reducing costs. This article discusses the mode of operation of the enterprise logistics management. And it has an important significance to constantly optimize enterprise logistics, to improve logistics management and the competitiveness of SMEs in China.

IoT-Enabled RFID in Supply Chain Management: A Comprehensive Survey and Future Directions

Radio frequency identification (RFID) has emerged as a pivotal technology in supply chain management (SCM), significantly enhancing its efficiency and effectiveness. When integrated with the internet of things (IoT) to form RFID-IoT, this technology brings transformative advancements to SCM, enabling automated sensing, pervasive computing, and ubiquitous data access across the entire supply chain, from manufacturers and distributors to retailers and consumers. This integration facilitates real-time identification and monitoring of products, enhances various processes, improves logistic tracking, and ensures better product quality management. Despite its promising benefits, the adoption of RFID-IoT in SCM faces several challenges, including technical complexities, data security concerns, and high implementation costs. However, the future potential of RFID-IoT technology remains substantial. It is anticipated that further integration with other emerging technologies, such as block chain and artificial intelligence, will lead to more comprehensive and robust SCM solutions, offering unprecedented levels of transparency, efficiency, and automation in supply chain operations.

EP-based Optimization of Strategic Safety Stocks in Reverse Logistics Systems

A new heuristic strategic safety stock optimization is proposed based on evolutionary programming(EP) algorithm for reverse logistics supply chain systems. The supply chain is described with a network and the modeling complexity of external as well as internal product returns and reuses of supply chains is considered with. It is assumed that customer demands for final products are uncertain. Products are randomly returned from external customers to stock points. The optimization model is established and three different cases with different structures are used to show the strength of the algorithm.

Current Situation and Perspective of Second Generation Solid Biofuels Production： Case Study——CMR （Campinas Metropolitan Region）, Sao Paulo, Brazil

This proposal aims to assess the market introduction of advanced technologies for the production of 2nd generation solid biofuels, specifically technologies for the production of briquettes and pellets from agro-industrial wastes. The development of this project will evaluate the socio-environmental and techno-economical feasibility and use of 2nd generation solid biofuels in the CMR （Campinas Metropolitan Region）. The successful introduction of second generation briquettes and pellets to market depends, mainly, on two aspects： logistics in supply chains which generate waste, and the efficiency of production technologies. The study of logistics （supply chain） is based on survey data of the main productive supply chains, analysis, and modeling to optimize the facility location in the network for each case. The evaluation of the efficiency of production technology is provided by testing specially designed waste compacting devices, and comparing these results with the resulting power consumption during the production, in demonstration-scale, of a round of briquettes. The costs and consumption during the demonstration-scale production of briquettes are used for validation and correction of an optimization model. This project was approved in late 2012 with a period of two years for its implementation. Later in 2013, it was decided also to extend its implementation to the Metropolitan Region of Manaus, Amazon. Due to its recent beginning, the results shown here are only preliminary.

The role of an integrated logistics and procurement service offered by a 3PL firm in supply chain

As an integrated part in supply chain,third-party logistics(3PL)has intrinsic connections with upstream manufacturer and downstream retailer.Using a Stackelberg game model consisting of a manufacturer,a retailer and a 3PL to explicitly capture the interaction of firms’operations decisions,this paper attempts to better understand the role of integrated logistics and procurement service(ILPS)provided by a 3PL firm in supply chain management.Compared with a supply chain without ILPS,a Pareto region,in which all the supply chain members benefit from working with a 3PL firm offering ILPS,is disclosed.We also show that the Pareto region is more likely to occur with higher demand uncertainty.Finally,we reveal that the manufacturer obtains the highest profit in the Pareto region,and that the retailer can improve his profit share as the standard deviation of demand increases.

Comparison on neural networks and support vector machines in suppliers' selection

Suppliers＇ selection in supply chain management （SCM） has attracted considerable research interests in recent years. Recent literatures show that neural networks achieve better performance than traditional statistical methods. However, neural networks have inherent drawbacks, such as local optimization solution, lack generalization, and uncontrolled convergence. A relatively new machine learning technique, support vector machine （SVM）, which overcomes the drawbacks of neural networks, is introduced to provide a model with better explanatory power to select ideal supplier partners. Meanwhile, in practice, the suppliers＇ samples are very insufficient. SVMs are adaptive to deal with small samples＇ training and testing. The prediction accuracies for BPNN and SVM methods are compared to choose the appreciating suppliers. The actual examples illustrate that SVM methods are superior to BPNN.

Supply chain and logistics innovations with the Belt and Road Initiative

The Belt and Road Initiative(BRI)is a massive,ambitious,long-term project initiated by the Chinese government,with participation from many other countries,to facilitate trade and improve logistics in an effort to promote global economic development.In this paper,we identified the supply chain and logistics innovations linked to the BRI.These innovations include new routes and modes for global trade,new supply chain design,reduction of cross-border logistics frictions,and entrepreneurial development.Examples of some of these innovations are emerging,while new ones are being developed.These innovations can enable businesses to improve their operational performances and create economic value.At the same time,to realize the full potentials of BRI,new work processes and technologies,incentive alignment,collaborations among businesses,and optimized plan-ning are needed.This provides great opportunities for researchers to explore how to overcome barriers and achieve the full values of BRI.

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.

Optimum Design of Stair-Climbing Robots Using Taguchi Method

Environmental issues like pollution are major threats to human health.Many systems are developed to reduce pollution.In this paper,an optimal mobile robot design to reduce pollution in Green supply chain management system.Green supply chain management involves as similating environmentally and eco-nomically feasible solutions into the supply chain life-cycle.Smartness,advanced technologies,and advanced networks are becoming pillars of a sustainable supply chain management system.At the same time,there is much change happening in the logistics industry.They are moving towards a new logistics model.In the new model,robotic logistics has a vital role.The reasons for this change are the rapid growth of the e-commerce business and the shortage of workers.The advantages of using robotic logistics are reduction in human errors,faster delivery speed,better customer satisfaction,more safety for workers,and high workforce adaptability.A robot with rocker-bogie suspension is a six-wheeled mobile platform that has a distinctive potential to keep all wheels on the ground continuously.It has been designed to traverse rough and uneven terrain by distributing the load over its wheels equally.However,there is a limitation to achieving high-speed mobility against vertical barriers.In this research,an optimal design of product delivery wheeled robots for a sustainable supply chain system is proposed to ensure higher adaptability and maximum stability during climbing staircases.The design parameters of the proposed robot are optimized using Taguchi Method.The aim is to get a smooth trajectory of the robot’s center-of-mass.The proposed approach realizes a robot with much-improved stability which can climb over heights more than the size of the wheel(i.e.,3 times the radius of wheels).The results reveal that the modified rocker-bogie system not only increases the stair-climbing capability but also thwarts instability due to overturning of a wheel of the robot.

皮革制造企业物流供应链管理模式创新

本文将大数据分析技术引入皮革制造企业物流管理中,以此对其供应链模式进行创新性改造。重点介绍了皮革制造企业在物流供应链管理模块存在的不足,结合大数据技术和物联网技术,提出了解决皮革制造企业物流供应链管理实际问题的具体思路。并利用无线传感器网络软件和硬件平台,构建了智能物流供应链管理系统框架,运用花粉算法和XGBoost模型分别解决了物流供应链管理中实物定位问题和供应链需求预测问题。

基于地理信息系统的物流与供应链管理对策分析

随着全球化发展愈发深入,市场竞争也越来越激烈了,企业的产品制造和信息处理这两大环节以及现代通信技术的集成和柔性管理将成为未来的重要发展趋势。物流与供应链管理在现代商业领域中扮演着至关重要的角色。地理信息系统(GIS)作为一种强大的工具,可以为物流与供应链管理提供全面的支持和优化。文章旨在探讨并分析基于地理信息系统的物流与供应链管理对策,通过对地理信息系统在物流与供应链管理中的应用情况进行研究和分析,提出相应的对策,以帮助企业提高物流与供应链管理的效率和效益。

汽车制造业绿色供应链管理对环境绩效的影响研究

从绿色供应链管理和大数据分析能力视角探讨制度压力对企业环境绩效的影响机理,揭示绿色供应链管理和大数据分析能力在企业环境绩效形成过程的作用。研究结果表明:制度压力对绿色供应链管理实施与大数据分析能力有显著影响;绿色供应链管理与大数据分析能力对企业环境绩效提升有显著影响;大数据分析能力对企业绿色供应链管理实施有显著影响;在制度压力对环境绩效的影响中,大数据分析能力与绿色供应链管理存在部分中介效应。研究结果能够为汽车制造企业重视大数据分析能力建设和绿色供应链管理实践,提高环境绩效提供一定的参考价值。