Logistics Management Information System

The logistics information is the logistics manageme nt ’s inevitable request. The paper introduces several kinds of logistics informat ion system and their functions in the logistics management, such as the warehous e management system (WMS) in the delivery center, the control system for transpo rtation and delivery, the supply chain management (SCM), the optimization of th e logistics system, etc. In the author’s opinion, the development of logistics could been divided into four phases. And the logistics information system has s ome special characteristics: automatization, network, intelligence, and regenera tion. The paper also introduces some information technologies that are concerned . The readers can find following technologies in this paper: database and netwo rk technology, bar code and scanning devices, electronic data interchange (EDI), global positioning system (GPS), these technologies develop very fast in recent years. This development makes a great contribution to the growing of logist ics information system.

The application of Baosteel mechanical and electronic products in the metallurgical logistics management

This paper elaborates core and related technologies with the theme of the application of Baosteel mechanical and electronic products in metallurgical logistics management.It introduces the model of logistics management in iron and steel enterprise,especially focuses on the vital roles of Mechano - electronic Products in this model.Then it describes sensor detection device and marking & identification equipment, considered as the main methods of logistics tracking in production equipment layer.Consequently logistics tracking is also explained and promoted to logistics management level.We mainly present some technologies about the wireless data transmission and crane positioning system in this section.And some new prospective R&D study results and more comprehensive solutions for mechanical and electrical products from Baosight are also introduced.Finally the significances of metallurgical logistics management are summarized.

Logistics Management in the Ghanaian Construction Industry

In the field of the construction industry, logistics management has become an issue of concern which needs to be focused on in order to ensure effective, successful and timely execution of projects in the construction industry. Logistics management in construction is a multidisciplinary process which makes sure things are done at the right time, cost and quality as well as material supply and handling, schedule control, site infrastructure and equipment location, site physical flow management, traffic arrangements on and around the construction site, and information management related to all physical and services flow. This paper seeks to identify and evaluate the possible factors that affect logistics management in the construction industry and also to ascertain the current practices of inventory management and the effect on logistics management envisage by construction personnel’s and stake holders. A descriptive survey research was conducted with both structured and unstructured questionnaire and administered both via e-mail and by sending questionnaire link onto a WhatsApp platform groups of the respondents, and out of the 187 respondents that took part in the survey, 22 respondents feedback were incomplete so 165 member respondents results were analyzed representing 88.2% response rate. The survey results were analyzed, displayed and interpreted in the form of tables, bar charts, column chart and pie chart with the use of SPSS software. The research survey respondents were comprised of Project Managers, Project Coordinators, Foremen, Site Managers/ Officers, Logistics Managers, Inventory Managers and Laborers. The survey results revealed that majority of the total respondents are in the capacity or position as Logistics Managers and also have from 5 to 10 years working experience, and as well majority of the respondents have also attained Master’s degree qualification. It was also revealed that logistics management is greatly affected by the inability or the failure to embrace, adopt and integrate new and emerging technology and its approach into the logistics management system. Majority of the respondents also indicated that in general the adequacy of inventory management system was dissatisfied representing 63.8% of the total respondents. The construction industry not only needed to improve its inventory management systems but also to ensure appropriate inventory management techniques for enhancing high degree of accuracy, reduced cycle times and replenishment of stock. This usually accounts for the poor delivery and quality of work, accompanied with delays and other associated losses in project construction. For effective Logistics management to be achieved in the construction industry, the introduction of modern technology to carry out logistics functions in the construction industry should be paramount to the industry players.

Research on the Application of Big Data in Logistics Management

With the high-speed development of China’s information technology,human society has ushered in the age of big data,imposing challenges to many logistics companies.With the continuous changes in the development environment,it requires relevant logistics companies to make reasonable self-adjustment to ensure their adaptability to the development environment.At present,many Chinese logistics companies with relatively lagged management model fail to effectively employ big data analysis technique,and have some shortcomings in talent team construction.Therefore,relevant logistics companies need to reasonably use big data technology,improve the quality of logistics management work,and effectively screen valuable part from mass information,thereby promoting rapid development of China’s logistics industry.In this paper,the application of big data in logistics management is analyzed.Firstly,the concepts and characteristics of big data are introduced and then this paper discusses the necessity of application of big data in logistics management,and proposes specific application countermeasures,in hope of providing some reference to relevant staff.

Study on Green Logistics Management in the Context of Sustained Development

With the increasingly deepened sustainable development concept in China, the logistics industry is undergoing transformation toward green logistic, requiring relevant logistics companies to fully strengthen green logistics management to accelerate the sustainable development of the logistics industry. This paper is focused on the analysis of green logistics management in the context of sustainable development. The meaning of green logistics management is firstly introduced, and then the importance of green logistics management is discussed. According to the current status of green logistics management, this paper proposes relevant management countermeasures, hoping to provide relevant personnel with certain reference.

Teaching Research and Practice of Logistics Management Major Based on OBE-CDIO-A Case Study of Logistics System Planning and Design Course

The economic and social progress under the new era has put forward new requirements for logistics talents.Based on the teaching concept of OBE-CDIO as well as the training program and objectives of logistics management major in Guangzhou Maritime University,this study analyzes and discusses how the Logistics System Planning and Design course,which is targeted at students majoring in logistics management,enables the students to meet the graduation requirements by virtue of realizing the course objectives.

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.

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.

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.

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.