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Based on the researches of the perceived risks in the Web, we construct a model to deal with the perception how to influence customers to buy in the field of C2C . Then, get 192 effective questionnaires through Internet survey. It is proved store risk, product risk, and delivery risk are 3 dimensions of C2C consumers' risk perception. The effects of product risk influence consumers' purchasing intention...
A green supply chain return supernetwork optimization model is established for a three-tiered supply chain network where m manufacturers are at the upper level and O markets are at the lower level. A supply chain equilibrium model is considered at lower level while the impact and pollution which were caused by cargo freight, cargo package and cargo processing are taken into account at the upper level,...
In e-business logistic management logistics collaboration becomes more and more important. E-Business Logistic management system as an open electronic platform can realize logistics collaboration and supports the operation of logistic. Exact logistic process can ensure the normal running of the system. With the constantly change of logistic environment, logistic process models don't keep stable. The...
Through analyzing the evaluation criteria of virtual logistics enterprise (logistic alliance) knowledge sharing risk early-warning system, a hierarchical evaluation attribute structure model was proposed in this paper. Then, by utilizing the method of grey theory, the grey evaluation model was constructed, the degree of knowledge sharing risk was assessed and its detailed calculation steps were designed...
Development of C-C e-commerce market depends on a healthy and complete credit system, and a healthy and complete credit system should be established on the basis of an active and authentic feedback. However, basing on survey results and the research on psychology and behaviors of evaluators, we find that there is a tendency for them to not give feedback after transaction. Moreover, the defects of...
Through analyzing the evaluation criteria of virtual logistics enterprise (logistic alliance) knowledge sharing risk early-warning system, a hierarchical evaluation attribute structure model was proposed in this paper. Then, by utilizing the basic theory and method of fuzzy sets, the degree of knowledge sharing risk was assessed and its detailed calculation steps were designed. Finally, an example...
In this paper we have obtain the generalized form of the logistic model to arbitrary order using fractional calculus. The model is explained the population growth. The discrete version of the model have important role in studying the chaotic dynamic. The fractional calculus is feasible to evaluate the differential and integral of non integer order. This mathematical subject is helping fine tune analysis...
The ability to handle the challenges of reducing cost, increasing costumer service is very important for logistic firm in international trade. This research applies fuzzy-ANP methodology to select the location of distribution center. Location of distribution center is a multi-criteria decision making problem which includes a great deal of evaluation factors. We use ANP when considering the feedback...
The main aim of this paper is to identify and describe the operational models that are currently being used in Spain for physical distribution for the HORECA channel and to propose a selection guide that will allow the manufacturer to select the distribution model that best fits their system according to a set of operational variables. Firstly, a description of the present situation of the HORECA...
In this paper we develop a tool (DALSIM - delivery areas and logistics simulation), following the hybrid model described in our previous work that uses the operations research and systems dynamics. The tool is composed of two modules: a module for the simulation of delivery areas at local level based on queuing systems, and the second one simulates the spread of the obstruction on the overall flow...
To solve the vehicle scheduling sever problem under fuzzy information, the paper takes vehicle's fuzzy travel time and customer's fuzzy due time as fuzzy information parameter and uses the method of subdividing the customer's class to absorb the carriers' knowledge system, builds two deciding-making goals of logistic enterprises' utility maximization and customers' s utility maximization to two kinds...
To problem of the supply chain managementpsilas graduated value, this paper brings a new model based on fuzzy theory and multi-classes support vector machines. The fuzzy theory was used to reduce the expertpsilas subjective effect. The multi-classes support vector machine was used to improve the precision of the supply chain managementpsilas graduated value. The paper used the data of twenty logistics...
The paper analysis the inevitable trend of cooperation between estate logistic, logistic enterprise, manufacturing firm and retail. Estate logistic firm fixes the location of warehouse from facilities set with considering the requirement of customers and to distribute the requirement of customers. This paper optimizes general cost of warehouse by using the simulated annealing methodology, meanwhile,...
It is an ideal choice of establishing the simulation of the Automatic Storage&Retrieval System (AS/RS) for predicting cost and increasing efficiency. In this paper, Flexsim is used to build up an AS/RS system model for simulation and optimization. Firstly, the overall process and simulation modeling are described in detail based on Flexsim. During analysis of the model, this paper focuses on the...
Based on the financing system among upstream supplier enterprises, third-party financing warehouses, manufacturers and banks, a model is established respectively for the minimum production cost or the maximum loan amount. Further analysis is made towards the impact of the storage cost parameter to the delivery strategies for suppliers, which provides recommendations for suppliers to choose the best...
With the fast development of the logistics industry, the fourth party logistics becomes a top issue in this line. The correct evaluation and selection of supply chain cooperation partners is a key problem in the development of the fourth party logistics. This paper constructs an evaluation model of the fourth party logistics provider selection by using analysis process of grey relation, GRAP together...
This paper demonstrates the linkage between logistics system simulation and teaching mode, and explores new teaching methods and teaching ideas. It puts emphasis on analyzing the application of logistics simulation technology in the logistics system and exploring appropriate teaching modes of logistics system simulation. We make a point of the application of logistics system theory knowledge and the...
Two of the most significant problems of our era are the depletion of the natural energy and resources and the pollution caused from the disposal of waste end-of-life products. An effective reverse logistics (RL) operation can help organizations make good use of nature energy and resources and take healthy balance between economy and environment. Thereby RL has emerged as one of the most rapidly evolving...
In this paper a new Chaotic Neural Network (CNN) have been made. This network contains desired number of interacting units and each one has its own chaotic dynamic and strange attractor caused by creating convex hull among output units. Having a special interaction characteristic, the model is able to create enormous different chaotic behaviors. Lyapunov Exponent and phase space plane criteria have...
Classifiers based on parametric or non-parametric learning methods have different advantages and disadvantages. To take advantage of the strengths of both methods, we propose an algorithm that combines a parametric model (logistic regression) with a non-parametric classification method (k-nearest neighbors). This combination is based on a measure of appropriateness that uses a heuristic to decide...
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