Advanced Materials Research Vols. 945-949

Abstract: In vendor managed inventory systems, logistics decisions are centralized at the vendor, allowing inventory storage and transportation costs to be reduced simultaneously. Operation of such systems requires the solution of a complex combinatorial optimization problem, known as the Inventory Routing Problem (IRP), which involves managing client inventory and determining the frequency and size of product deliveries as well as the route taken by the vehicle over a given planning horizon. We present a new formulation based on an economic order quantity distribution policy for the multivehicle inventory routing problem (MIRP). A mathematical programming model with additional practical constraints was used for the MIRP. A new heuristic approach that breaks the MIRP down into the following two sub-problems was also proposed: one dealing with the scheduling of deliveries and the formation of delivery clusters over the planning horizon, and the second sub-problem, which builds the routes for the delivery clusters using classic route construction heuristics and a procedure for intra-route improvements. Adjustments between routes are performed with the aid of a new large neighborhood search (LNS) strategy. Small, medium-sized and large scenarios with different storage and transportation costs were generated using parameters based on data from the literature. Extensive computational tests were carried out to determine the effectiveness of the proposed distribution policy and the heuristic used.

Abstract: Internet of Things(IOT) port is a multi-format business park as the core of IOT applicatting in value-added agricultural products, its philosophy is interactive, collaborative and visualization, using mature technology , IOT and IT, building a supply chain management system platform, connectting the each participant of upstream and downstream supply chain, including core businesses, supporting small and medium enterprises, banks, logistics providers, technology support organizations, training institutions,etc. Achieving information interaction and business collaboration. Providing comprehensive one-stop supply chain services of overall optimization-based supply chain logistics, traceability of agricultural products, financing, settlement and value-added services, through accumulating and integrating the relevant parties arising from operating activities business flow, logistics, capital flow, information flow. In the implementation process, IOT port existences some issues, such asnetwork security, the standardization of supply chain information flow and management platform, but these can been solved by creatting a suitable space for development through government,gradually extendding the pilot to take the first way, promottng the development of uniform standards of IOT port.

Abstract: To model the automotive supply chain accurate for deep research,the basic model of automobile supply chain inventory management in the method of advanced control theory is established here. Through anglicizing the inventory of each node in the supply chain under stock replenishment strategy, the bullwhip effect in upstream enterprise of automobile industry supply chain inventory is proved. The method of Model Predict Control is taken in the simulation of the optimization model. Simulation results shows that the model predictive control method for each node in the supply chain inventory control has the characteristics of agility and overall and it has the practical value in restraint the bullwhip effect.

Abstract: The paper builds the model of direct reuse reverse logistics center location followed by the uncertainty random variables of the demand of retailers and the recovery of collection points. This model assumes that the enterprises are expanding on the traditional network. For the random variables, they will be solved by using stochastic simulation, genetic algorithm and linear programming, and numericai exampie is presented.

Abstract: Cooperative positioning (CP) originating in wireless sensor networks (WSN) is expected to enhance the accuracy of real-time positioning by exchanging location related information in vehicular network via wireless communication. A novel CP system based on beam-forming for vehicular networks is proposed by this work. Its application includes several roadside units equipped with a kind of transceiver based on an special dual-transmitter outphasing architecture which are utilized to broadcast the spatial directivity and correct receive angle information to vehicles with onboard wireless communication units in desired areas. The goal of enhancement positioning via vehicle-to-infrastructure communication can be acquired by a data fusion means based on the extended Kalman filter when GNSS is available and a cooperative solution based on the least-squares method under the condition that the global navigation satellite system (GNSS) is available respectively. The main process of positioning and all the key technical points of the system's application are modeled and analyzed mathematically. And the results of computer simulation confirm the technical practicability for the proposed method.

Abstract: At present, Chinas urbanization is developing rapidly. Traffic construction is helpful to the development of urbanization, and traffic flow forecasting can provide guidance for traffic construction. The basic data that traffic flow forecasting needs relies on social and economic statistics, like population, number of jobs and so on. In areas where the level of urbanization is low, social and economic statistics is always unavailable. As for this, the paper proposed a model that using land-use planning to forecast the traffic flow. First we calculated peak hourly person times by multiplying acreage of traffic zones with peak hourly trip rate, then got trip generation and attraction of traffic zones which is basic data of traffic flow forecasting after appropriate conversion. The case study proved that the model is scientific and rational.

Abstract: In real life transportation, we sense the environment not only using our eyes, but also using our ears. The acoustic environment contributes a big part of human’s sensing and shall be integrated into the existing internet of vehicles (IOV). The vehicles can communicate with each other via the propagation of the sound they make. The recorded sound signals, with some signal processing applied, can be used to obtain the location of the nearby vehicles and also be sent to the driver to increase his/her awareness of the situation even if the physical sound has been blocked by the door or window of the vehicle. In this paper, we propose such an acoustic IOV using an integrated system of microphone arrays and digital signal processors (DSPs).

Abstract: With the rapid increase of the vigorous development of China's aviation industry and air traffic flow, air traffic flow management is increasingly outstanding. To evaluate the effect of air traffic flow management system, needs to establish the air traffic flow management system effectiveness evaluation index from the scientific, objective, practical angle. According to the air traffic flow at home and abroad with evaluation index, respectively, from the meaning of statistical method, calculation method, the solution of different angles, the air traffic flow evaluation indicators for the analysis and research.

Abstract: Firstly, from the strategic level flow prediction and tactical traffic flow prediction analysis of two methods of flight flow forecast, put forward by the combination method of strategic level forecast, the dead reckoning for the tactical traffic flow prediction. According to the characteristics of dynamic air traffic flow prediction, inference algorithm for aircraft trajectory conjecture by great circle track and isometric track, so as to realize the dynamic traffic prediction. Basic factors that error in in-depth study on track, according to the actual situation of Guangzhou area control center control operation, analyzes and summarizes the influence of dead reckoning uncertainty factors, proposes an equiangular track improved predictive models, and flight data is validated using actual controllers in Guangzhou, the results show that the prediction accuracy of the improved model significant improvement.

Abstract: At present, with the continuous increase in domestic flight number, due to air traffic flow management caused flight delays have occurred from time to time, flow control and flow management caused by other reasons has become one of the main causes of flight delay; therefore, the air traffic flow management is the urgent need to complete the task of civil aviation. This paper points out the existing problem of air traffic flow management, then put forward to strengthen the air traffic flow management measures.