Automobile Logistics Research Articles

Design of a new cloud-based standardised container preservation system for moving vehicles

Since the beginning of the 20th century, advanced business enterprises have focused on strengthening logistics management as a "third source of profit". In this context, that is, since the 1950s, the beginning of container sea transport, the superiority of container transport has been recognised worldwide, and become the main form of transport in domestic and foreign trade, the containerisation of such goods transport has become an irreversible direction of development. In the domestic occupy the transport of the mainstream of the car logistics is a greater demand for containers, in particular, can self-adjust the temperature of the container to achieve fresh demand, and the emergence of cloud servers and the Internet of things for this container design provides the possibility.

평택당진항의 자동차 물류 클러스터 구축방안

평택당진항의 자동차 물류 클러스터 구축방안

A Novel Hybrid Metaheuristic for Solving Automobile Part Delivery Logistics With Clustering Customer Distribution

With the continuous maturity of the automobile industry, the cluster network effect has been gradually formed among automobile parts' suppliers. How to carry out reasonable and efficient distribution in the cluster network has become one of the greatest challenges in today's automobile manufacturers. In this paper, we conducted a field survey of a real-world automobile logistics company and collected data. After analyzing the relevant transportation modes, we concluded that the problem could be classified as a clustered vehicle routing problem (CluVRP). A CluVRP considers gathering customers according to geographical proximity on the basis of the classical capacitated vehicle routing problem (CVRP). An accompanying problem is that there is a hard constraint that all customers in a cluster must be served consecutively by the same vehicle. Because the CluVRP is NP-hard, a hybrid metaheuristic solution approach was proposed. First, the shortest distance best fit decreasing (SD-BFD) algorithm was used to construct an initial solution. Second, a clustering feature was considered in order to divide the problem into two levels for optimization: the intra-cluster level and the inter-cluster level. For the intra-cluster level, the variable neighborhood search (VNS) was applied; for the inter-cluster level, the Lin-Kernighan (LK) considering dummy point was employed for optimizing. The computational performances of the hybrid metaheuristic algorithms are tested on three sets of instances and compared with the results from previous papers and the company's manually calculated solutions. The results show that the proposed algorithm is excellent in both the operation time and the final solution value, which is significant to improve distribution efficiency, reduce transportation costs, and improve customer satisfaction.

The Analysis of Automobile Enterprises Based on Outsourcing

The Automobile Logistics Enterprises plays an important role in enhancing core competition strength of an enterprise ,improving added-value service, reducing cost of logistics and optimizing enterprise resources etc., but whether the above aims can be achieved depends on the ability and service of logistics vendors. It is of critical importance to the success of enterprise's outsourcing to choose an appropriate Automobile Logistics Enterprises vendor. While currently in China, the evaluating method we adopt are relay on analyzing the financial guideline of Automobile Logistics Enterprises evaluated by experts so as to ensure the final Automobile Logistics Enterprises. This method is not only too objective but also dissevers the connection between the biddings. Based on the construction of the index system for Automobile Logistics Enterprises classification, a method of classifying Automobile Logistics Enterprises is presented in this paper applying the cluster method of multivariate statistical analysis. It can be regarded as an important method for classifying Automobile Logistics Enterprises. Moreover, this method not only conquers the above drawbacks but also contributes to the selection of the Automobile Logistics Enterprises vendors on the basis of some objective information provided by this method.

A context-aware framework for dynamic composition of process fragments in the internet of services

In the last decade, many approaches to automated service composition have been proposed. However, most of them do not fully exploit the opportunities offered by the Internet of Services (IoS). In this article, we focus on the dynamicity of the execution environment, that is, any change occurring at run-time that might affect the system, such as changes in service availability, service behavior, or characteristics of the execution context. We indicate that any IoS-based application strongly requires a composition framework that supports for the automation of all the phases of the composition life cycle, from requirements derivation, to synthesis, deployment and execution. Our solution to this ambitious problem is an AI planning-based composition framework that features abstract composition requirements and context-awareness. In the proposed approach most human-dependent tasks can be accomplished at design time and the few human intervention required at run time do not affect the system execution. To demonstrate our approach in action and evaluate it, we exploit the ASTRO-CAptEvo framework, simulating the operation of a fully automated IoS-based car logistics scenario in the Bremerhaven harbor.

Research on simulation based material delivery system for an automobile company with multi logistics center

Distribution of different parts to the assembly lines is significant for companies to improve production. Current research investigates the problem of distribution method optimization of a logistics system in a third party logistic company that provide professional services to an automobile manufacturing case company in China. Current research investigates the logistics leveling the material distribution and unloading platform of the automobile logistics enterprise and proposed logistics distribution strategy, material classification method, as well as logistics scheduling. Moreover, the simulation technology Simio is employed on assembly line logistics system which helps to find and validate an optimization distribution scheme through simulation experiments. Experimental results indicate that the proposed scheme can solve the logistic balance and levels the material problem and congestion of the unloading pattern in an efficient way as compared to the original method employed by the case company.

Air emission and environmental impact assessment of Korean automotive logistics

In South Korea, the automotive industry generates a significant amount of air emissions during the distribution stage of its life cycle. In order to understand the environmental effects of the finished automobile logistics, this study assesses the emissions of seven air pollutants and four types of environmental impact potentials from finished vehicles transported via three transportation modes. To estimate the total amounts of air emissions, this study utilizes an attributional life cycle approach in terms of the transport load for the distribution stages of domestic and oversea production cases of South Korea’s automotive industry, while further assessing the environmental impact of the finished vehicle logistics using the life cycle assessment software tool, Gabi. The results of the case study indicate that the transportation activities of total finished vehicles made in South Korea and the United States for Korean-owned automobile manufacturers generate a significant amount of carbon emissions and a negligible amount of nitrous oxide to the atmosphere. With respect to the environmental impacts, the results indicate that the vessel for the South Korean logistics and the truck for the United States logistics have the largest influences on global warming potential and acidification potential.

A study on Operation factors the Used automobile logistics complex using Fuzzy-AHP

A study on Operation factors the Used automobile logistics complex using Fuzzy-AHP

The Study in Supply Chain of Auto Parts Based on Milk-Run

With the rapid development of the domestic economy, the output of the automobile industry is growing dramatically. The increasing number of the suppliers, auto parts and their categories has brought more challenges to the third party automobile logistics provider with requirements of better service mode and quality. The poor optimal state of the original delivery route and low vehicle loading rate have a huge impact on the production effectiveness. Thus, according to this problem, a virtual automobile factory has been set with specific auto parts orderings with the purpose of optimizing the delivery route and rising the vehicle loading rate. Combining with the location of the picking points, transport frequency and the loading capacity of each vehicle, taboo search algorithm has been applied to the milk-run mode to help develop a better delivery route for the logistic company.

Capability Coordination in Automobile Logistics Service Supply Chain Based on Reliability

The paper builds a two-stage automobile Logistics Service Supply Chain (LSSC). The Logistics Service Integrator (LSI) is dominant. It integrates Functional Logistics Service Provider (FLSP). Considering the feature of non-storage and reliability, the buyback contract model was built under the stochastic demand. When the logistics capability that LSI wants to order is equivalent to FLSP willing to supply, the automobile LSSC reaches equilibrium. Compared with no contract, the buyback contract can coordinate the automobile LSSC better. Simulation results indicate that if the reliability increases, the optimal logistics capability order quantity, the buyback price and all expected profits decrease. If the penalty cost increases, the buyback price, the expected profits of LSI and LSSC decrease, while the optimal logistics capability order quantity and the expected profit of FLSP increase. Compared to the penalty cost, the relevant indexes are more sensitive to the reliability.

Transport Logistics Optimization Model Of Passenger Car Based On Heuristic Algorithm

Passenger car logistics transportation problem is at the primary stage of development in China, great economic loss and waste of resources caused in the process of logistics transportation, because most of enterprises in China rely on artificial experience for guidance at present. And use of a particular genetic algorithm to solve this problem by previous also exist many defects, such as programming complexity, instability and low efficiency etc. In view of this, The heuristic algorithm designing based on the greedy thought and the 0-1 knapsack thought was proposd, according build a universal model of the logistics transportation to the passenger car.Experimental results show, this model not only recording the concrete scheme of loading,also can make the optimization by changing the loading sequence. etc. This model is applicable to solve similar problems of transport logistics, and containing great practical application value and economic value.

The Efficiency of the Logistics Supply Automotive Company

The purpose of the paper is assessment of costs and supply logistics efficiency of JSC AvtoVAZ. Being a part of logistics costs transportation and procurement expenses of the automobile company, expenses connected with production supplies maintenance, administrative expenses are allocated and calculated. The assessment of a costs share of logistics supply in revenue is given. The economic-mathematical method of the automobile company supply logistics efficiency assessment on the basis of integrated indicator calculation is used. The single-unit supply logistics efficiency indicators corresponding to a logistics development level of the domestic automotive industry are allocated. The calculation of JSC AvtoVAZ integrated supply logistics efficiency indicator from 2009 to 2014 is carried out. DOI: 10.5901/mjss.2015.v6n6s3p463

The Study of Changchun Automobile Industrial Logistics Transport Land Distribution

Based on the analysis of current situation according to Changchun automobile industrial logistics characteristics, this paper analyze the existing problems of urban logistics spatial development in Changchun and the reasons which trigger these issues, in order to put forward Changchun automobile industry logistics development strategies.

The Market Analysis of Railway Car Liner Trains Based on BP-NN Model and SWOT Method

Forecast the car sales by BP-NN and analyze the market of automobile logistics by SWOT method to master the car logistics development trend and learn the automobile logistics market demand. On the background of the conservation-minded society, this paper proposed some advices of developing car liner trains to promote the development of railway high value-added industries and expand transportation income, combining with the characteristics of railway's own advantages and absorbing domestic and foreign automobile logistics development experience.

On the research and design of automobile hinge production logistics system based on extensive flow

Automobile hinge production is primary in the chain of automobile manufacturing. In order to inform and standardise production, extensive flow has been introduced to productive procedure. This paper briefly reviews manufacturing logistics system from both theoretical and executive aspect. It also discusses Anhui Jiangnan mode. It evaluates how an elaborated system works for products. Automobile hinge production logistics system with extensive flow helps not only massive production but also budget control. It is suggested to solve inconsistency and inefficiency in manufacture and distribution process.

The Mathematical Modeling Research of Interest Allocation in the Third-party Automobile Logistics Partners

The Mathematical Modeling Research of Interest Allocation in the Third-party Automobile Logistics Partners

The System Failure Analysis Based on Fuzzy Fault Tree for Automobile Logistics Service Supply Chain

Abstract Reducing the system failure rate of logistics service supply chain (LSSC) is the basic guarantee and supporting conditions of LSSC system operational stability. The paper, regarding the automobile logistics service supply chain system composed by logistics service integrators, logistics service providers and car manufacturer as the research object, sets up the fault tree model of the automobile logistics service supply chain system failure, and describes, by the triangular fuzzy number, the probability of basic event failure. Then based on the examples, the paper calculates the confidence interval of automobile logistics service supply chain failure, logistics integrators failure and logistics functions provider failure, and concludes the fuzzy importance sequence of basic event for the logistics service supply chain system failure. Finally, the paper analyzes the reasons for the logistics service supply chain system failure and proposes improvement measures.

Team-building with answer set programming in the Gioia-Tauro seaport

AbstractThe seaport of Gioia Tauro is the largest transshipment terminal of the Mediterranean coast. A crucial management task for the companies operating in the seaport is team-building: the problem of properly allocating the available personnel for serving the incoming ships. Teams have to be carefully arranged in order to meet several constraints, such as allocation of employees with appropriate skills, fair distribution of the working load, and turnover of the heavy/dangerous roles. This makes team-building a hard and expensive task requiring several hours of manual preparation per day.In this paper we present a system based on Answer Set Programming for the automatic generation of the teams of employees in the seaport of Gioia Tauro. The system is currently exploited in the Gioia Tauro seaport by ICO BLG, a company specialized in automobile logistics.

AUTOMOTIVE PARTS' LOADING OPTIMIZATION BASED ON IMPROVED QUADRATIC PARTICLE SWARM OPTIMIZATION

The present article designed a genetic quadratic particle swarm optimization (GQPSO). Aiming at the low particle diversity at the early searching stage of quadratic particle swarm optimization (QPSO), the method adopts mutation and exchanging and regenerating mechanisms from genetic algorithm so as to avoid premature convergence and improves optimization. Meanwhile, the present article gave a comprehensive consideration to decision elements such as cost, resources, and service in the process of automotive parts' logistics, transportation, and loading; a model of automotive parts' logistics, transportation, and loading optimization was set up. GQPSO was introduced for solutions. Simulation examples show that GQPSO improves the computational efficiency, significantly, and there is a higher probability of searching the global optimum. It provides optimization method for the automobile parts' logistics and transportation plans.

Application Research on Optimal Path Based on Genetic Algorithm

At present, China's automobile logistics cost accounts for more than 20% of the production of motor vehicles. Therefore, lowering logistics cost by seeking its best path is an effective way to lower the cost of automobile manufacturing. This paper combines the Graph Theory and the genetic algorithm to research the optimizing problem of the lines of logistics distribution. Traffic flow data under normal conditions is obtained through field studies, based on which we can calculate the time of the network weight through appropriate method, find the best lines of distribution through the optimization theory of genetic algorithm, and show the feasibility and superiority of the method through examples.