Intelligent Logistics System Research Articles

Intelligent logistics scheduling model and algorithm based on Internet of Things technology

With the continuous development of science and technology, the information age has arrived, and people have fully entered the information age. In this new era, Internet technology has achieved unprecedented development, and many innovative technologies have also been proposed. The competition in the logistics industry is becoming more and more fierce. Someone proposed the concept of intelligent logistics. This concept has been continuously expanded and the requirements have become higher and higher. Finally, an intelligent logistics management supported by the Internet of Things technology has emerged. technology. In our school's research, we mainly proposed an intelligent distribution model based on the Internet of Things. This model not only optimizes the distribution process, but also proposes an efficient distribution strategy when faced with a large amount of data. This technology mainly uses the information interaction technology in the Internet of Things, which can ensure that the average delivery speed is the fastest, the average transportation distance is the shortest, and the time consumed in the logistics transmission process is the shortest. In the decision-making process of this intelligent distribution model, we must first establish some intelligent distribution models controlled by multiple indicators. During the experiment, we built a logistics perception system and used heuristic algorithms to solve the packing problem. Answered. The mainstream solution algorithm we use genetic algorithm, a large number of experiments and data show that this algorithm is scientifically based, and it has also exerted its due effect in application. This article mainly analyzes the impact of the intelligent logistics system provided by the Internet of Things technology, and then looks forward to the future development trend of the system. We hope that through the analysis of the status quo, we can promote the further development of my country's Internet of Things technology, and also promote the further development and optimization of my country's intelligent logistics system technology.

The impact of urban green and intelligent logistics on urban environmental protection

With the acceleration of urbanization in China, the problem of urban pollution has become more and more serious, which has brought great negative impact on people’s life. The construction of urban intelligent logistics system, planning and guiding the green development of the city, at the same time, it also plays a certain role in promoting the environmental protection of the city. In this paper, based on factors other than green and green city green wisdom logistics countermeasure analysis, put forward the comprehensive evaluation index system of green wisdom logistics, combined with urban environmental protection, put forward the application of fuzzy analysis method to evaluate urban environmental protection green wisdom logistics, and put forward the comprehensive evaluation index system of urban green wisdom logistics contributes to promoting the development of green and urban environmental protection.

Construction of Intelligent Logistics System Based on Internet of Things Technology

With the promotion of information technology, the Internet of Things develops rapidly and is gradually applied in all walks of life. Intelligent Logistics has become an inevitable trend in the development of logistics industry. This paper expounds the related concepts of the Internet of Things and Intelligent Logistics, introduces the key technologies in the Internet of Things, and constructs the Intelligent Logistics system based on the hierarchical structure and key technologies of the Internet of Things, so as to promote the sustainable development of Intelligent Logistics.

Fault Tolerant Service Composition Model Design of Intelligent Logistics System Based on Internet of Things Technology

The rise of Internet technology makes the intelligent logistics system develop further. Relying on advanced technology, intelligent logistics system can grasp the order trend in real time, scientifically allocate the system capacity, improve the supervision of distribution personnel, effectively improve the management level, logistics efficiency and customer satisfaction. The intelligent logistics system of Internet of things can effectively improve the efficiency of logistics, but in the case of unstable environment, there may be a series of service problems in the service end. It is necessary to study the logistics service combination of the system service end to avoid the internal management confusion or customer complaints caused by the problems. This paper discusses the design of fault tolerant service combination model of intelligent logistics system based on Internet of things technology.

Emergency response model for intelligent logistics system based on resilience theory

The concept of intelligent logistics has become mature. However, most of the researches on risk management and emergency response for intelligent logistics system only focus on some specific systems, and ignore the discussions on the overall system. Thus, in order to establish emergency response model for intelligent logistics system, the accident management process of intelligent logistics system was analyzed, the accident management model of the system based on the resilience theory was designed, and finally a model of emergency response for intelligent logistics system from the perspective of dynamic accident management was developed. Results show that this model reflects the dynamic process of intelligent logistics system subjected to random accidental impacts, the in-depth learning of the intelligent logistics system for incident handling and the enhancement of the system’s risk resistance through feedback data on incident handling are reflected in the model. Conclusion obtained from this study provides a theoretical reference for the optimizing of researches on mechanism of emergency response.

ПРОАКТИВНОЕ УПРАВЛЕНИЕ ТРАНСПОРТНЫМИ ПОТОКАМИ ГОРОДОВ ВЫХОДЯЩИМИ НА АВТОМАГИСТРАЛИ МЕЖДУНАРОДНЫХ ТРАНСПОРТНЫХ КОРИДОРОВ

The article shows that with the growing traffic on motorways, the demand for modern traffic management systems for effective traffic flow management is generated. Based on the analysis of the METANET model and algorithms for managing the entrance to the highway, an algorithm is proposed that uses the capabilities of an intelligent transport and logistics system to implement proactive traffic management. The possibility of using self-driving cars to supplement the information about traffic characteristics obtained from stationary sensors of the transport infrastructure of the intelligent transport and logistics system is analyzed.

Automation of rule-based logistics planning processes using intelligent provision tools

Process automation offers opportunities to increase effectiveness and efficiency in logistics planning. Planning processes that are characterized by rule-based dimensioning design and control logics are particularly suitable for automation. Adaptive process models and its subsequently automated execution by workflow engines reduce the workload for logistic planers, enable faster changes, and prevent planning errors. Moreover, the use of Internet of Things (IoT) technologies for material provision tools enables the immediate detection of status changes and the triggering of automated planning tasks. This paper presents a model of an intelligent logistics system that partially automates the planning steps for relocating items within industrial supermarkets using intelligent sensors and workflow management systems.

Intelligent logistics hardware system based on Internet of Things, VR and AR

Intelligent logistics refers to the realization of system perception, comprehensive analysis, and timely processing in all aspects of logistics transportation, warehousing, packaging, loading and unloading, circulation processing, distribution, and information services based on information technologies such as the Internet of Things, VR, and artificial intelligence, And the function of self-adjustment. The realization of intelligent logistics can greatly reduce the transportation costs of various related industries, improve transportation efficiency, and enhance corporate profitability. In this paper, the application of intelligent logistics system in Jiangxi railway freight has greatly improved the efficiency of transportation, warehousing, packaging, handling, circulation processing, distribution, and information services.

How to Estimate Strategic Partnerships on the Basis of Quality Criteria in Logistics Systems

Due to increasing competition in the international market, organisations are facing daily challenges. The market has become global and international, so organisations are forced to incorporate intelligent logistics systems to facilitate operations. It is important for organisations to know with whom and on what basis to enter strategic partnerships. The article discusses theories related to ISO standards that support intelligent logistics systems, and strategic partnerships. First, the authors present the links of standards that represent the tool of intelligent logistics systems. The authors describe the partnerships and indicators of logistics systems that affect the integration of the supply chain. The research is based on the analysis of supply data obtained by the authors from the purchasing system of the organisation. In conclusion, the authors present the results of the analysis.

DIGITAL DESIGN OF PRODUCTION SYSTEMS USING VIRTUAL REALITY

The design and operation of intelligent production and logistics systems requires the strong support of digital technologies today. A production and logistics system is normally modelled in a virtual environment, allowing rapid work with an extensive data set and "what - if" analyses to help optimize the resulting system design for performance, productivity, safety and environmental performance of its future operation. This paper deals with the issue of the digital design of production systems with the effective deployment of virtual reality technologies into the individual phases of the production system design. This article describes the basic steps of the digital design methodology with the description of virtual reality application tools for the production and logistics system design, in order to reduce design defects and increase work safety. The proposed methodology has been verified in an experimental workplace, presenting real outputs. The final part of the article contains a brief discussion of the problem results.

Design and Development of a New Lightweight High-speed Stacker

A new lightweight high-speed stacker is designed and developed. Its technical parameters are leading the industry level, which can meet the current requirements for high efficiency of intelligent logistics system. Starting from the key structure of stacker, through the theoretical analysis of the new mechanism and the comparison of the new and old equipment, the advantages of the new mechanism in improving the efficiency and lightweight design of stacker are explained. Through ANSYS Workbench finite element software, the structural strength of the main bearing mechanism is analyzed, and the results show that the strength meets the requirements.

Collaborative multiple centers fresh logistics distribution network optimization with resource sharing and temperature control constraints

Collaboration such as resource sharing among logistics participants (LPs) can effectively increase the efficiency and sustainability of logistics operations, especially in the transportation and distribution of fresh and perishable products that require special infrastructure (e.g., refrigerated trucks/vehicles). This study tackles a collaborative multi-center vehicle routing problem with resource sharing and temperature control constraints (CMCVRP-RSTC). Solving the CMCVRP-RSTC by minimizing the total cost and the number of refrigerated vehicles returns a fresh logistics operational strategy that pinpoints how a multi-center fresh logistics distribution network can be reorganized to highlight potential collaboration opportunities. To find the solution to the CMCVRP-RSTC, we develop a hybrid heuristic algorithm that combines the extended k-means clustering and tabu search non-dominated sorting genetic algorithm-II (TS-NSGA-II) to search a large solution space. This hybrid heuristic algorithm ensures that the optimal solution is found efficiently through initial solution filtering and the combination of local and global searches. Furthermore, we explore how to motivate individual LPs to collaborate by analyzing the benefits of collaboration to each LP. Using the minimum costs remaining savings method and the strictly monotonic path rule, a cost saving calculation model is proposed to find the best profit allocation scheme where each collaborating LP keeps benefiting from long-term collaboration. An empirical case study of Chongqing City, China indicates the efficiency of our proposed collaborative mechanism and optimization algorithms. Our study will help improve the efficiency of logistics operation significantly and contribute to the development of more intelligent logistics systems and smart cities.

The Integrated Exchange of Information and IoT for Smart Logistics Systems

The logistics system is an important and stimulating process for producers. The logistics system starts with the supply of raw materials, product design, assembly and distribution to customers. A supply chain can be considered when designing this process. Therefore, modelling and optimizing supply networks related to the different processes of the logistics system and data transactions is a major challenge. On the other hand, developments in the digital environment of logistics systems are integrated with the development of Industry 4.0, including Internet of Things (IoT), big data, cloud computing and information systems. Therefore, this document discusses the development of information systems on different processes of logistics systems in modelling the exchange of data between elements of the supply network. The concepts of big data and cloud computing are taken into account when proposing information flow mechanisms. The result allows a complete exchange of data between the elements of the intelligent logistics system on the Internet platform. The functions and solutions of sales, transport, inventory and sales are presented in the different phases of the proposed logistics system. The need for data flow is created using a database concept for making real-time decisions

A cooperative rich vehicle routing problem in the last-mile logistics industry in rural areas

This study proposes a cooperative rich vehicle routing problem (CoRVRP) among three typical logistics providers in the last-mile logistics industry in rural areas. The problem is formulated based on the information fusion system and the ordering interface system, and it is solved by a proposed branch-price-and-cut algorithm. Based on the optimized cooperation scheme, the core and Shapley value are used to fairly allocate the cost savings. The numerical results show that a long-term grand coalition will be beneficial to all the participators. The proposed information-merging-and-algorithm-driven cooperative optimization model will be practicable for intelligent logistics systems.

Intelligent logistics service combination algorithm based on Internet of Things

This paper proposes the concept of an intelligent logistics system (ILS) in the context of the Internet of Things (IoT), expounds the characteristics of the ILS, and constructs a logical framework of the ILS based on the IoT. In the dynamic IoT envir

Developing An Intelligent Logistics and Distribution System For A Large Number of Retail Outlets: A Big Data Analytics Approach

The logistics and distribution system in the retail industry in Indonesia has its own complexity. The growth and productivity of the retail outlets in Indonesia have been increasing from year to year. Distribution activities in this study are related to the formation of salesman visit routes involving around 38,900 customer base retail outlets, which are quite numerous in number, calling for a challenging approach to find the optimized solution. Therefore, the case study in this research will be discussed on the concept of the Traveling Salesman Problem (TSP) and the Vehicle Routing Problem (VRP), considering the work balance and visit pattern constraints. The methods used in this research are the balanced K-means and the Minimum Span Tree – Kruskal’s Walk algorithm, which are proven to solve the problem with a shorter computation time and a more balanced daily route than the current conditions as the results.

The Green Vehicle Routing Problem From a Smart Logistics Perspective

End distribution has always been an obstacle in logistics operations. This paper finds that intelligent logistics can have the functions of visualization, prediction, control and decision-making through the rational use of big data and artificial intelligence technologies. At the same time, this paper combines the sustainable development concept of green logistics to further study the green vehicle routing problem based on traffic flow. Intelligent logistics systems help control costs, improve energy efficiency, reduce carbon emissions, and improve customer satisfaction.

A Path Planning Method Based on Improved Single Player-Monte Carlo Tree Search

With the thorough application and development of Intelligent Logistics System, the Path Planning Problem, which is one of the key problems of logistics scheduling, is accelerating to the direction of dynamics, diversification and complexity. In order to better adapt to the new changes, this paper proposes a path planning method based on improved SP-MCTS (Single-Player Monte Carlo Tree Search) algorithm. Unlike the previous heuristic algorithms, SP-MCTS does not completely depend on parameters, and can more effectively solve variable combinatorial optimization problems. Aiming at the problem of path planning, this paper enhances the simulation process of SP-MCTS by clonal selection algorithm, in order to improve the algorithm's accuracy of locating high-potential branches, and further improve the accuracy of the decisions made by SP-MCTS. Experiments show that the method proposed in this paper is less affected by the parameters and can better solve the changing path planning problem. Compared with the existing path planning methods and original SP-MCTS algorithm, it can solve the changeable path planning problem more stably, faster and more accurately.

REDTag: A Predictive Maintenance Framework for Parcel Delivery Services

The overwhelming increase of parcel transports has prompted the need for effective and scalable intelligent logistics systems. In parallel, with the advent of Industry 4.0, a tight integration of Internet of Things technologies and Big Data analytics solution has become necessary to effectively manage industrial processes and to early predict product faults or service disruptions. In the context of good transports, the development of smart monitoring tools is particularly useful for couriers to ensure effective and efficient parcel deliveries. However, the existing predictive maintenance frameworks are not tailored to parcel delivery services. We present REDTag Service, an integrated framework to track and monitor the shipped packages. It relies on a network of IoT-enabled devices, called REDTags, allowing courier employees to easily collect the status of the package at each delivery step. The framework provides back-end functionalities for smart data transmission, management, storage, and analytics. A machine-learning process is included to promptly analyze the features describing event-related data to predict potential breaks of the goods in the packages. The framework provides also a dynamic view on the integrated data tailored to the different stakeholders, as well as on the prediction outcomes, enabling immediate feedback and model improvements. We analyze a real-world dataset including event-related data about parcel transports. To validate the hypothesis that the acquired data contains information relevant to predict the package status (i.e., broken or safe), we empirically analyze the performance of different, scalable classifiers. The experimental results confirm, in good approximation, the predictive power of the models extracted from the event-related features. To the best of the authors' knowledge, this work is the first attempt to address predictive maintenance in smart good transport logistics to predict package breaks from real-world data.

APPLICATION OF THE INTERNET OF THINGS IN PHARMACEUTICAL INDUSTRY SUPPLY CHAINS

Сurrent temperature monitoring, humidity, physical condition and real-time data transmission are extremely important in the pharmaceutical supply chains. The intelligent logistics system for monitoring the state of objects, implemented on the basis of the Internet of things, which can be used for the pharmaceutical industry, has been considered in this article. The two-level network architecture of the IOT platform has been reviewed. The first level is radio frequency object identification, and the second level is organization of wireless sensor network. By adapting the proposed system, the pharmaceutical company can easily monitor and control the quality of the goods during transportation.