Warehouse Logistics Research Articles

Smart warehouse track identification based on Res2Net-YOLACT+HSV

In recent years, the rapid development of the courier industry, in order to solve the problem of the accumulation of goods in courier warehouses, low efficiency of manual sorting and transportation, many courier companies have introduced intelligent unmanned warehouse logistics systems for unmanned transport vehicles or unmanned inspection The study proposes a recognition method based on the combination of Res2Net-YOLACT and HSV to achieve accurate recognition of the route trajectory of unmanned vehicles in the logistics warehouse environment. After the detection of the YOLACT network with improved backbone network, the area of the track is extracted by HSV, and the extracted area is used as the object of secondary processing, i.e., the extracted track is then subjected to centerline extraction to form the actual track. By comparing the recognition effect of this algorithm on the test set under different direction shapes of tracks, the correct rate of Res2Net-YOLACT in the same experimental environment is 97.37%, and the speed of detecting a single image is 30.26 ms, and then the centerline extraction algorithm is ported to the Res2Net-YOLACT network, and the speed of detecting a single image is 37.26 ms. Compared with the 93.28% accuracy of the original YOLACT network, the speed of single image detection is improved by 3.6%. In addition, the centerline extraction algorithm designed using this study is less computationally intensive and less code engineering than the prevailing algorithm, increasing the memory footprint by only 3.2%. To verify the performance of this centerline extraction algorithm, a comparison between this algorithm and the commonly available algorithms was performed, which showed a 1.31% improvement in correctness and an 8.73% improvement in the speed of detecting videos compared to the general algorithm, indicating that the centerline extraction algorithm processed by this study has higher accuracy and real-time performance without significantly consuming more memory. In addition, to test the practicality of the algorithm, the time used by the algorithm to detect the same video on the embedded device jetson nano was counted, and the average frame rate was calculated to be 28FPS and the maximum frame rate was 33FPS, which can be achieved in real transportation applications.

Towards Safe and Resilient Autonomy in Multi-Robot Systems

In the near future, autonomous systems such as multi-robot systems are envisioned to increasingly co-exist with hu- mans in our daily lives, from household service to large- scale warehouse logistics, agriculture environment sampling, and smart city. In these applications, robots and humans as networked heterogeneous components will frequently inter- act with each other in a variety of scenarios under uncer- tain, rapidly-changing, and possibly hostile environment. On one hand, harmonious interactions among robots, as well as between robots and humans, would require safe integration (e.g. collision-free close-proximity interactions) of heteroge- neous robots, human, and human-robot autonomy. On the other hand, reliable interactions among autonomous multi- robot systems often call for resilient system integrity (e.g. communication capability with potential robot failures) to re- tain its capability of accomplishing complex tasks through coordinated behaviors. In the proposed talk, I will discuss our recent works towards safe autonomy and resilient autonomy that aim to facilitate correct-by-design robotic behaviors in a variety of applications.

Design of Integrated Warehouse Control Tower (WCT) Digitalization by the Internet of Things Architectures

The problem that often occurs in information systems, especially in the logistics process, is improper management because the machine is not connected to inventory control and not integrated with the operator, so it takes a long time to analyze errors in the logistics process. This study develops warehouse logistics control information to speed up and accurate inventory processes. This study designed the Warehouse Control Tower (WCT) as a strategic development based on Wireless Sensor Network that is connected to a warehouse system and integrated with a computer connected to the RFID (Radio Frequency Identification) system, AI (Artificial Intelligence) cameras, and barcodes. Value stream mapping is used to map the process flow of warehousing activities and information flow at the level of the total warehouse process flow. Overall, the results of the analysis using the value stream mapping method indicate that the process flow using RFID and Artificial intelligence is more efficient than before implementation.

Development of warehouse logistics at the present stage

Using the examples from foreign practice the article considers the present stage of development of ware-house logistics based on the concept of digitalization and automation of logistics and transport. A practical solution to the problems of logistics development is implemented through real projects, the introduction of the latest technologies, the construction of new facilities and the modernization of existing ones, the use of innovative handling, storage and process equipment, as well as new software products and digital systems. Technical solutions in engineering and construction projects of the new general cargo warehouses and logistics centers are discussed.Much attention is paid to IT systems in warehouse logistics, which made it possible to implement a number of innovative solutions in digitalization and automation abroad. Without technology and IT systems, effective internal logistics, service, technical support for handling and storage equipment are impossible today. Therefore, lifecycle management and preventive maintenance require smart tools.Examples of the new types of handling and storage equipment are given, which control transport & storage and loading & unloading operations. The creation and practical application of new types of handling and storage equipment actively supports the implementation of common goals for the development of warehouse logistics.

LOGISTIC WAREHOUSE INVENTORY SYSTEM (CASE STUDY: RSUD PASAR MINGGU)

The hospital is an individual health service facility that provides inpatient and outpatient care, therefore quality service is a must and absolutely fulfilled by a hospital. One of the efforts to improve the quality of service to the community is to improve the performance of the hospital in a professional and independent manner. Hospitals provide quality and effective health services to provide the best value, so that they become the first choice for all people and companies. Because logistics is so important for hospitals, the existence of an information technology-based inventory system is needed to facilitate the recording and processing of transactions compared to manual way. The problems that exist in hospitals are when checking inventory, searching for files and goods takes a long time, Logistics request forms containing requests for logistics from a unit in the hospital, and searching for logistics reports so that work in the logistics warehouse becomes less effective. To expedite the process of entering and leaving goods, a computerized system is needed that can be used to record, store, and process data to make it easier to make inventory reports. The transition from a semi-manual data archiving system to a computerized system so that the processed data is safer and easier to reuse.

Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles

LiDAR SLAM has become one of the major localization systems for ground vehicles since LiDAR Odometry And Mapping (LOAM). Many extension works on LOAM mainly leverage one specific constraint to improve the performance, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e.g.</i> , information from on-board sensors such as loop closure and inertial state; prior conditions such as ground level and motion dynamics. In many robotic applications, these conditions are often known partially, hence a SLAM system can be a comprehensive problem due to the existence of numerous constraints. Therefore, we can achieve a better SLAM result by fusing them properly. In this paper, we propose a hybrid LiDAR-inertial SLAM framework that leverages both the on-board perception system and prior information such as motion dynamics to improve localization performance. In particular, we consider the case for ground vehicles, which are commonly used for autonomous driving and warehouse logistics. We present a computationally efficient LiDAR-inertial odometry method that directly parameterizes ground vehicle poses on SE(2). The out-of-SE(2) motion perturbations are not neglected but incorporated into an integrated noise term of a novel SE(2)-constraints model. For odometric measurement processing, we propose a versatile, tightly coupled LiDAR-inertial odometry to achieve better pose estimation than traditional LiDAR odometry. Thorough experiments are performed to evaluate our proposed method's performance in different scenarios, including localization for both indoor and outdoor environments. The proposed method achieves superior performance in accuracy and robustness.

Counseling on Transportation Logistics Curriculum Level III Jabodetabek Region

Logistics transportation manages and provides transportation facilities and infrastructure for smooth logistics distribution. Logistics activities or freight forwarding services refer to the management and distribution of logistics goods obtained from users, stored in logistics warehouses, sorted shipments, and transported and sent to the destination address. Logistics activities have an important role in a business company, but the important role of logistics transportation is also major in distributing goods. This activity aims to produce graduates of experts who are reliable and best in transportation and logistics and have a reputation for ready-to-use labor. The methods used are lectures, discussions, and questions and answers. The implementation of the training activities of the participants was no obstacle in conducting counseling, and the internet connection was not interrupted. In support of infrastructure, facilities are adequate, namely the availability of laptops or personal computers from participants so that all participants can take part in counseling optimally

A STUDY ON WAREHOUSE MANAGEMENT AND MATERIAL HANDLING PROCESS AT POLKART LOGISTICS

The structuring of your warehouse material handling system will necessitate high-level efficiency. This will entail efficient logistics for warehouse and customer requirements. Both inbound and outbound processes will be crucial to material handling. Materials handling is essentially related to warehouse management. Thus, it has a direct impact on transit time, resources usage, and service levels. Materials handling is one among the factors that made an imperative contribution to the logistics and supply chain efficiency.The inventory management plays the main role in a warehouse management. Stock audit has to be done monthly.The present study delineates the material handling operations at third party logistics warehouses. it was possible to suggest that internal customers understood that the new materials handling management system enlarged service agility and reliability and reduced costs, which caused an improvement in overall satisfaction. The main objective of this study is to identify the methods employed in the material handling department at logistics warehouses.

Analysis of Factors Causing Logistics Warehouse Inventory Mismatch at PT Dai Nippon Printing Indonesia

This research was conducted at PT Dai Nippon Printing Indonesia. The purpose of this study is to determine the factors causing the mismatch of logistics warehouse inventory at PT Dai Nippon Printing Indonesia. In this study researchers conducted interviews. The research methodology used in this study is the litative research method. The results of the study stated that there are several factors that cause the discrepancy of logistics warehouses, including Man, Machine, Method, Material, Environment. Improvements that can be made to minimize inventory discrepancies in the logistics warehouse of PT Dai Nippon Printing Indonesia Pulogadung Factory include training or training for each employee and rolling work, rejuvenating transportation equipment and repairing network servers, ensuring goods entering logistics are well administrated, making special areas of problematic materials and creating a comfortable work environment for each employee.

Real-Time Detection of Unrecognized Objects in Logistics Warehouses Using Semantic Segmentation

Pallet detection and tracking using computer vision is challenging due to the complexity of the object and its contents, lighting conditions, background clutter, and occlusions in industrial areas. Using semantic segmentation, this paper aims to detect pallets in a logistics warehouse. The proposed method examines changes in image segmentation from one frame to the next using semantic segmentation, taking into account the position and stationary behavior of newly introduced objects in the scene. The results indicate that the proposed method can detect pallets despite the complexity of the object and its contents. This demonstrates the utility of semantic segmentation for detecting unrecognized objects in real-world scenarios where a precise definition of the class cannot be given.

Применение методики описания условных обозначений и построение модели бизнес-процесса таможенного оформления грузов

Currently, 80% of goods in the world are delivered by waterways. Cargo transportation is the basis of the commercial and economic industry dependent directly on the efficiency of transport and warehouse logistics. The importance of maritime transport is increasing over time. The number of logistics organizations and enterprises is increasing, which proves the demand for this industry today. To increase the efficiency of the organization, it is important to correctly allocate resources for the implementation of all stages of work. There are shown the ways of optimizing the work of the enterprise by reducing the risks that may arise at all stages of its activity, in particular the procedure for customs clearance of goods. To reduce the number of errors, it is necessary to develop detailed schemes &#x0D; of business processes that reflect all the stages and key points of passing the participant of foreign economic activity the control procedures at border checkpoints when vehicles arrive at the place of goods delivery and control after the release of goods. When the graduates find a job, there appears the lack of practical experience, which complicates their adaptation to the work process. To optimize the process of training and familiarity of students, as well as introducing new personnel into the specifics of the work of logistics enterprises, there was developed a model using the BPMN notation, which describes in an accessible form the process of customs clearance of goods during sea transportation of goods. In international transportation of goods, customs clearance is assigned one of the key roles, this procedure is very specific. The BPMN modeling method is considered. Business process modeling is used to visualize data about the workflows and business processes of companies, which allows to get an idea and identify areas to be improved. It is proposed to develop a model of customs clearance of goods using the BPMN methodology.

A Lidar SLAM based on Improved Particle Filter and Scan Matching for Unmanned Delivery Robot

With the rapid development of robotics, intelligent robots have gradually entered human daily life and take responsibility for specific tasks, which brings tremendous convenience to people’s lives. In indoor places such as restaurants, hotels, logistics warehouses, SLAM technology can guide mobile robots to complete delivery tasks. Aiming at solving the problems of particle degradation in the traditional RBPF-based two-dimensional SLAM algorithm, our algorithm firstly proposes an improved particle filter method based on cross-mutation, which changes the information of the small weight particles in the system by designing cross-mutation operators. Thus, a certain amount of small weight particles are retained in the system to increase the diversity of particles. Secondly, our algorithm proposes a scan matching method based on point and line features, which makes full use of the geometric information of the two-dimensional point cloud by designing a new error function. Compared with traditional matching methods that only rely on point features, it has better matching accuracy. We conduct Two-dimensional SLAM experiments in the Gazebo simulation environment and the real natural environment. The results show that the proposed algorithm has higher mapping accuracy than the commonly used two-dimensional SLAM algorithm Gmapping at this stage. Using improved A* algorithm to conduct path planning experiments on the two-dimensional grid map built with our algorithm, the results prove the effectiveness of our algorithm.

Human Following Based on Visual Perception in the Context of Warehouse Logistics

Warehousing and logistics robots, which have benefited from the development of 5G, the internet, artificial intelligence, and robot technology, are commonly used to assist warehouse personnel in picking up or delivering heavy goods at dispersed locations along dynamic routes. However, traditional programs that can only accept instructions or be preset by the system lack flexibility and existing human auto-following techniques either have difficulty accurately identifying specific targets or rely on a combination of lasers and cameras that are cumbersome and not effective at obstacle avoidance. This paper presents an algorithm that combines DeepSort and a width-based tracking module to track targets and uses artificial potential field local path planning to avoid obstacles. The algorithm is evaluated in a self-designed flat bounded test field and simulated in ROS, and is found to achieve state-of-the-art results in following and successfully reaching the end-point without hitting obstacles.

Design of Logistics Intelligent Warehouse Management System Based on Radio Frequency Identification Technology for 5G

At present, the operation energy consumption of intelligent logistics warehouse management system based on B/S is too large, and the operation efficiency is low. In order to improve this situation, a design method of intelligent logistics warehouse management system based on radio frequency identification technology is proposed to optimize the hardware structure of the system. Based on the overall structure of the system, the network topology of the warehouse management system is divided into physical level, network level, data level, and application level. Further optimize the function and operation of the system software based on RFID technology, transfer the goods to the warehouse by logistics, count the goods, determine the goods location in the warehouse management system in the outbound management procedure, and collect the internal data of outbound goods through the RFID reader. Use the handling tools to transfer the picked goods to the warehouse out. The user management module mainly controls user login and user management. The statistical management of inventory is to clear and count the goods, which can provide a basis for the research in the field of intelligent logistics warehousing.

An ETCEN-Based Motion Coordination Strategy Avoiding Active and Passive Deadlocks for Multi-AGV System

In recent years, automated guided vehicles (AGV) are widely used to sort and transport parcels in logistics warehouses. The deployment of AGVs can improve storage efficiency and free human labour greatly. However, as the number of AGVs grows, the computational complexity and deadlock occurrence rate increase simultaneously, making it extremely difficult to coordinate AGVs’ movements in real time. In this paper, we first present a hierarchical motion coordination system based on event-triggered colored elementary net (ETCEN). The primary aim of the system is to coordinate AGVs in real time regardless of the system’s scale. Then, we describe deadlocks by the ETCEN model and classify them into two categories - active deadlocks and passive deadlocks. Active deadlocks are prevented dynamically by controlling the movements of AGVs, while passive deadlocks are resolved by an improved path planning strategy. The entire system relies on a two-layer architecture, thereby improving flexibility and scalability. The proposed algorithms are validated by simulations and applications. Experiment results demonstrated that our approach can coordinate multi-AGV systems, avoid collisions and prevent deadlocks effectively. Note to Practitioners—This paper was motivated by the problem of coordinating multi-AGV system in warehouses, especially the tricky problem of preventing deadlocks in large-scale applications. Existing approaches mainly focused on collision-avoiding strategies, while paying less attention to the deadlock-preventing problem. As a result, the feasibility of current deadlock prevention methods strongly depends on the topology of the environment, and the computation time will surge exponentially as the scale of AGVs grows. This paper suggests a general approach towards solving two types of deadlocks (active deadlocks and passive deadlocks) based on Petri net theory. In this paper, a multi-AGV coordination model is presented and described thoroughly. Then we use the model to prove our theories and introduce our collision-avoiding and deadlock-preventing strategies. A two-layer architecture is designed to support the expansion of AGV fleet, making our system highly scalable. Both experiments and applications suggest that this approach is feasible and effective. In future research, we will focus on further optimizing the coordination and routing algorithm to improve the system throughput.

Evaluation of the Warehouse Location Alternatives for Possible Great Istanbul Earthquake

The "Great Istanbul Earthquake" is expected to occur in Istanbul within the next 10 years. Preparations have long been made for the great Istanbul earthquake, which is expected to cause heavy loss of life and property. One of the important parts of earthquake preparedness is the disaster logistics warehouses, where emergency supplies and shelter equipment are stored to be dispatched to earthquake victims. The aim of this study is determining the optimal locations of the warehouses in order to deliver the aid materials to the points of need as soon as possible and to meet the needs in the event of a possible large earthquake in Istanbul. The model was set up in two steps to determine the number of warehouses to be opened with the set covering problem in the first step, and to minimize the weighted distance with p-median in the second step. The established model was solved using The General Algebraic Modeling System (GAMS), and the optimum scenario was decided according to the results and the scenarios were mapped.

Research on Logistics Warehousing Cost of Z Delivery Enterprise and Its Optimization Strategy

Aiming at the fierce price competition in the logistics industry, this paper studied the logistics storage of Z Express enterprises. First, according to the current situation of the logistics enterprise, the current storage problems were found out. To discuss its storage cost in depth, the analysis is carried out from two aspects: the internal structure of storage cost and the external factors. The former uses the activity-based cost method to analyze, and is supplemented by peer benchmark comparison. The latter directly proposes countermeasures based on related issues. Finally, using fuzzy comprehensive evaluation to evaluate the proposed optimization strategy, in order to find an accurate method to optimize the logistics storage cost of Z Express enterprise.

Semi-Open Multi-Distribution Center Path Planning with Time Windows

A well-planned robot dispatching platform reduces costs and increases efficiency for companies while also reducing carbon emissions and achieving sustainable development. At the moment, the solution to the difficulty of warehouse logistics is use of multiple distribution centers with autonomous mobile robots (AMR). To solve this problem, this paper establishes a semi-closed model of multiple distribution centers, considering the number of cycles and the number of vehicles. An improved ant colony algorithm is proposed to improve the heuristic function based on the node distance relationship to improve the quality of path search. Dynamic variable pheromone concentration and volatility factors are set to accelerate the convergence speed of the algorithm while effectively reducing the problem of the premature algorithm. The traditional ant colony algorithm and the improved ant colony algorithm are used to solve the established model. In addition, the results show that the traditional ant colony algorithm has a certain rate of dominance in the single-day cost of the closed distribution model, but the overall comprehensive cost is lower than that of the improved ant colony algorithm. The single-day cost of the semi-open multi-distribution center logistics and distribution model is lower than that of the closed multi-distribution center logistics and distribution model, and the 7 day average cost is reduced by 12%. The improved ant colony algorithm can save about 119 kWh of electricity under the same target volume requirement, which achieves the company’s goals of cost reduction and increased efficiency, as well as green and sustainable development.

WMS-система как стратегический инструмент инновационного развития складского хозяйства России

The article is devoted to a detailed analysis of the importance of developing and implementing innovative technologies in warehouse logistics. Modern trends in the field of technological support of enterprises require the introduction of innovative technologies not only in production processes, but also in the organization of the further movement of goods, including the need to optimize the operation of warehouse complexes. For this purpose, warehouse automation is required, namely the introduction of various warehouse management systems, which are often abbreviated as WMS - Warehouse Management System. When deciding whether to use a particular management system in a warehouse, it is extremely important to understand what types of WMS are used today in warehouse management practice, and what problems company managers will have to solve when adapting and using the system.

Algorithmization of data mining to optimize the process of inventory management at the enterprise in conditions of uncertainty

Currently, in conditions of increasing uncertainty of external economic and geopolitical factors, approaches based on digitalization of analytical processes associated with their intellectualization through the use of mathematical tools are used to make effective management decisions at enterprises. Planning of a wide range of issues regarding the functioning of enterprises in the short term, and especially in the long term, depends on the reliability and relevance of the analytical material. The purpose of the study was to develop a data analysis algorithm for inventory management at an industrial enterprise adapted to the current conditions caused by the uncertainty of a number of identified factors. The article presents an analysis of the state of industry in Russia for 2017–2021. The dynamics of the price index for hotel types of economic activity is given, the pattern of changes in the number of industrial enterprises is reflected. The forecast of the price index for individual industries for 2025 is graphically presented. The main problems faced by the branch of Russian industry are identified and a brief description of their impact on the development of industrial enterprises is given. The applicability of system analysis methods for solving inventory management problems is substantiated. The composition of the Economic ordering quantity model is analyzed and the need for its modernization is argued, taking into account the effects of environmental uncertainty factors to determine the optimal order size. The authors propose a data mining algorithm designed to calculate the optimal order quantity based on a modified Wilson formula with the described assumptions and constraints. The approbation of the calculation based on it is presented. To substantiate the correctness and applicability of the algorithm, a comparison of real and calculated data is given, an expert assessment is carried out on the relevance and possibility of its implementation at industrial enterprises in order to reduce risks when making managerial decisions in terms of warehouse logistics, in particular in inventory management.