In the era of the 4th Industrial Revolution, Logistic 4.0 using data-based technologies such as IoT, Bigdata, and AI is a keystone to logistics intelligence. In particular, the AI technology such as prognostics and health management for the maintenance of logistics facilities is being in the spotlight. In order to ensure the reliability of the facilities, Time-Based Maintenance (TBM) can be performed in every certain period of time, but this causes excessive maintenance costs and has limitations in preventing sudden failures and accidents. On the other hand, the predictive maintenance using AI fault diagnosis model can do not only overcome the limitation of TBM by automatically detecting abnormalities in logistics facilities, but also offer more advantages by predicting future failures and allowing proactive measures to ensure stable and reliable system management. In order to train and predict with AI machine learning model, data needs to be collected, processed, and analyzed. In this study, we have develop a system that utilizes an AI detection model that can detect abnormalities of logistics rotational equipment and diagnose their fault types. In the discussion, we will explain the entire experimental processes : experimental design, data collection procedure, signal processing methods, feature analysis methods, and the model development.

An automated material handling system (AMHS) has been emerging as an important factor in the semiconductor wafer manufacturing industry. In general, an automated guided vehicle (AGV) in the Fab’s AMHS travels hundreds of miles on guided paths to transport a lot through hundreds of operations. The AMHS aims to transfer wafers while ensuring a short delivery time and high operational reliability. Many linear and analytic approaches have evaluated and improved the performance of the AMHS under a deterministic environment. However, the analytic approaches cannot consider a non-linear, non-convex, and black-box performance measurement of the AMHS owing to the AMHS’s complexity and uncertainty. Unexpected vehicle congestion increases the delivery time and deteriorates the Fab’s production efficiency. In this study, we propose a Q-Learning based dynamic routing algorithm considering vehicle congestion to reduce the delivery time. The proposed algorithm captures time-variant vehicle traffic and decreases vehicle congestion. Through simulation experiments, we confirm that the proposed algorithm finds an efficient path for the vehicles compared to benchmark algorithms with a reduced mean and decreased standard deviation of the delivery time in the Fab’s AMHS.

The growth of the online market is accelerating due to the development of technology and the pandemic era. The delivery service through the courier must be used to deliver the ordered goods to the customer through the online market. With the growth of the online market, the logistics market for delivery is also growing. The traffic and environmental problems are emerging as social issues. Urban logistics technology using underground space based on the urban railway developed to improve logistics efficiency in a metropolitan area and a new alternative to environmental problems. This study proposed a plan to secure system safety through safety analysis based on operational concept definition and scenario analysis by applying model-based perspective analysis to the system under development.

With the advent of the 4.0 era of logistics due to the Fourth Industrial Revolution, infrastructures have been built to receive the same services online and offline. Logistics services affected by logistics 4.0 and IT technology are rapidly changing. Logistics services are developing using technologies such as big data, artificial intelligence, blockchain, Internet of things, and augmented reality. The convergence of logistics services and various IT new technologies is accelerating, and the development of data management solution technology has led to the emergence of electronic cargo waybill to replace paper cargo waybill. The electronic waybill was developed to supplement paper waybill that lack economical and safety. However, the electronic waybill that appeared to complement the paper waybill are also in need of complementation in terms of efficiency and reliability. New research is needed to ensure that electronic cargo waybill gain the trust of users and are actively utilized. To solve this problem, electronic cargo waybill that combine blockchain technology are being developed. This study aims to improve the reliability, operational efficiency and safety of blockchain electronic cargo waybill. The purpose of this study is to analyze the blockchain-based electronic cargo waybill system and to derive evaluation indicators for system supplementation.

In this study, to improve the logistics flow of existing given chemical logistics warehouse, four logistics flow alternatives were proposed to minimize truck interference by building simulation model. The simulation model for chemical storage warehouse was built to evaluate system performance. Among the four new improved alternatives based on the basic model, the model with the same truck’s pathways and locations of facilities identified an increase in the number of interferences but a decrease in daily working hours as the number of resources in a particular facility increases. Therefore, the three groups were classified as ‘efficiency’, ‘complementary’, and ‘safety’ based on the daily working hours, and the ratio of trucks entering two types of logistics warehouse was set in consideration of future market fluctuations. For each of the six types, the optimal number of resources was selected as the number of resources in the facilities with the least number of interferences in the basic model and the evaluation measures and characteristics set in this study were compared and analyzed. As a result, the Alternative 4 model operating the underground roadway produced interference between 17.0% and 36.4% of the basic model, with 113.3% of the interior loadspace.

In the field of optimization, many studies have been performed on various types of Vehicle Routing Problem (VRP) for a long time. A variety of models have been derived to extend the basic VRP model, to consider multiple truck terminal, multiple pickup and delivery, and time windows characteristics. A lot of research has been performed to find better solutions in a reasonable time for these models with heuristic approaches. In this paper, by considering realtime traffic characteristics in Map Navigation environment, we proposed a method to manage realistic optimal path allocation for the logistics trucks and cargoes, which are dispersed, in order to realize the realistic cargo mixing allowance and time constraint enforcement which were required as the most important points for an online logistics brokerage service company. Then we developed a prototype system that can support above functionality together with delivery status monitoring on Map Navigation environment. First, through Map Navigation system, we derived information such as navigation-based travel time required for logistics allocation scheduling based on multiple terminal multiple pickup and delivery models with time constraints. Especially, the travel time can be actually obtained by using the Map Navigation system by reflecting the road situation and traffic. Second, we made a mathematical model for optimal path allocation using the derived information, and solved it using an optimization solver. Third, we constructed the prototype system to provide the proposed method together with realtime logistics monitoring by arranging the allocation results in the Map Navigation environment.

This study aims to provide a real-time information to the driver by effectively operating the advanced safety device attached to the freight vehicle, thereby minimizing insecure behavior of the driver such as speeding, rapid acceleration, sudden braking, And improve driving habits to prevent accidents and save energy. Advanced safety equipment is a device that warns the driver that the vehicle leaves the driving lane regardless of the intention of the driver and reduces the risk of traffic accidents by mitigating or avoiding collision by detecting a frontal collision during driving.The main contents of this report are as follows: In case of installing a warning device on a lane departing vehicle (excluding a light vehicle) and a lorry or special vehicle with a total weight exceeding 3.5 tonnes, the driver must continue to operate unless the driver releases the function.In addition, when the automatic emergency braking system is installed, the structure should be such that the braking device is operated automatically after warning the driver when the risk of collision with the running or stopped vehicle in the same direction is detected in front of the driving lane.

최적화 분야에서는 VRP(Vehicle Routing Problem)에 대한 많은 연구가 오래전부터 이루어져 왔다. 기본적인 VRP 모형을 확장하여, 단일차고지와 다수차고지 특성, Pickup and Delivery 특성, Time Windows 특성 등을 고려하여 다양한 모형들을 도출되고 있으며 이들에 대한 보다 나은 해를 구하는데 초점이 맞추어져 왔다. 이들 VRP 모형들은 노드 수의 증가에 따른 NP-Hard 특성을 가지고 있기 때문에 최적화에 초점을 맞추기 보다는 Genetic Algorithms, Tabu Search, Simulated Annealing 등의 메타휴리스틱 기법 등을 이용하여 적용할 수 있는 우수한 해를 도출하려 노력을 기울이고 있다. 본 연구에서는 시간제약을 가지는 Multi-Depot Pickup and Delivery 모형을 이용하여 3자물류 기업에서 물류 트럭의 할당 및 이들에 대한 운영 상황 모니터링을 지원할 수 있는 시스템 개발에 초점을 맞추고 있다. 본 연구에서는 먼저 수요기업의 요구사항을 반영하여 가장 중점을 두고자 하는 혼적이 가능하고 시간제약을 반영한 해를 도출하고자 했으며 도출된 해를 기반으로 물류를 트럭에 할당한 후 물류 트럭에 대한 GPS기반의 모니터링 시스템을 제안하고자 한다.

This study aims to provide a real-time information to the driver by effectively operating the advanced safety device attached to the freight vehicle, thereby minimizing insecure behavior of the driver such as speeding, rapid acceleration, sudden braking, And improve driving habits to prevent accidents and save energy. Advanced safety equipment is a device that warns the driver that the vehicle leaves the driving lane regardless of the intention of the driver and reduces the risk of traffic accidents by mitigating or avoiding collision by detecting a frontal collision during driving.The main contents of this report are as follows: In case of installing a warning device on a lane departing vehicle (excluding a light vehicle) and a lorry or special vehicle with a total weight exceeding 3.5 tonnes, the driver must continue to operate unless the driver releases the function.In addition, when the automatic emergency braking system is installed, the structure should be such that the braking device is operated automatically after warning the driver when the risk of collision with the running or stopped vehicle in the same direction is detected in front of the driving lane.

Currently, Korea is actually increasing and increasing demand for leisure such as parts for A/S of automobile parts of the car, as well as trends in borrowing and finished parts are also required a steady increase in automobile traffic daetsu. There is one car and want to be driving a car A/S parts supplier smoothly for many years and that it is often the case if it is not supplied in a timely fashion, it is a reality that many eonseong hear from customers. These symptoms can be confirmed that the logistics systems of a system of selling auto parts supplier but above all a problem for several reasons, which will be considered as areas for improvement should be done urgently. Enterprises internally cooperation automotive supplier, but the need to get out to re-examine urgently complemented by the logistics system of systems to allow better respond to complex environmental changes of our customers grow, and now also the proliferation of small ship-run screen and Darvin , there is increasing distribution and logistics services, including logistics costs as a lack of work force that the company is itgetda can be called by the reality that the chances of getting a lot of jeyakreul own growth. Given this situation, the procurement of logistics enterprises. In-house logistics. Classified as sales logistics examined the long-term improvement of logistics distribution networks based on this part to derive into the problems of logistics and parts distribution system of Korean auto parts dealer.

Compound logistics is a service aimed to enhance logistics efficiency by supporting that shippers and consigners jointly use logistics facilities. Many of these services have taken place both domestically and internationally, but the joint logistics services for e-commerce have not been spread yet, since the number of the parcels that the consigners transact business is usually small. As one of meaningful ways to improve utilization of compound logistics, we propose a brokerage service for shipper and consigners based on the hybrid recommendation system using very well-known classification and clustering methods. The existing recommendation system has drawn a relatively low satisfaction as it brought about one-to-one matches between consignors and logistics vendors in that such matching constrains choice range of the users to one-to-one matching each other. However, the implemented hybrid recommendation system based brokerage agent service system can provide multiple choice options to mutual users with descending ranks, which is a result of the recommendation considering transaction preferences of the users. In addition, we applied feature selection methods in order to avoid inducing a meaningless large size recommendation model and reduce a simple model. Finally, we implemented the hybrid recommendation system based brokerage agent service system that shippers and consigners can join, which is the system having capability previously described functions such as feature selection and recommendation. As a result, it turns out that the proposed hybrid recommendation based brokerage service system showed the enhanced efficiency with respect to logistics management, compared to the existing one by reporting two round simulation results.

Companies build the factory automation system to improve management effectiveness and productivity as prime strategies for sustainable growth. But most companies undergo various trials and errors while carrying out the project without elaborate preparation stage for factory automation. In this study, we tried to verify what factors are critical to effectively building distribution automation system, which is a branch of factory automation system. A consulting model for setting up a Material Handling Automation System by utilizing the Stage-Gate Process, which is product development process was studied. 29 material handling automation projects carried out between the year 1990 to 2013 at K-Company were selected. Interviews with the project managers, operators and maintenance personnels, various records and current status of the projects were used as data for structural equations based on the Milan consulting model and existing researches of factory automation, CIM for material handling automation. Creating effective basis of production, material handling system and energy saving system with expert review, when preparing a material handling automation project, help promote the project planning thus contributing to the performance of the resulting system, which appears though rather weakly in our data. Also the effect of material handling automation can be enhanced through sufficient and effective links to the relevant environments such as production logistics management and automated warehouses. More detailed planning characteristics of project promotion or some time-series data of effective Material Handling Automation System could enhace furthur studies. We propose a consulting model for setting up an efficient material handling automation system.

Global interests in RFID are increased and Korean government and companies make an active effort to propagate and spread RFID. Due to the overwhelming advantages of RFID system in comparison with existing bar code system, ripple effects on logistics sector among the utilizing fields of RFID technology are expected to be great, but application of RFID system is lowly progressed unlike the expectation of several experts. Therefore, this research extracts precedent studies on theoretical background, applying fields, promotion condition and domestic/foreign parts of RFID system, factors for operating domestic RFID system and effects and considers the effects of RFID's external variables on easiness and effectiveness of TAM. It confirms the relations of RFID applying effects for companies applying and utilizing RFID and verifies the relations among the effects for application of RFID system, accepting intention of RFID system and applying effects. Based on the results of analysis, it should play a role of good guide for all of companies and institution who will introduce RFID system to all of Korean logistics fields, make policies and systems which promote RFID acceptance nationally and socially and play a role of guide making confident climate for RFID technolog