A characteristic feature of many real logistics systems and processes is an influence on them of nondeterministic factors. It is necessary to take into consideration those factors within analyzing logistics processes using modeling and simulation methods. In the paper the problems of using nondeterministic elements and parameters in example logistics systems were introduced. The literature revi...

An improved Grey Relational Analysis (GRA) is used to quantitatively investigate the impact of Jiangxi Province regional economy on local logistics demand. The grey characteristics of data from regional economy and logistics is studied, which shows GRA is applicable; then a multi-sequence GRA is proposed, which generates total 4 groups of grey relational sequence from three indices of industria...

The concept of the system is not only a management material but also integrated management resource, correction of mistake of medical treatment, application to EBM by the data mining of medical records. As for this system, it has become to grasp medical practice and medical material, which did not understand on current electronic receipt processing system accurately. In POAS (Point Of Act syste...

This paper presents an agent-based microsimulation framework that represents the diversity of roles and functions of actors in the freight system, how they interact through markets and how interactions between actors are established in markets through contracts. The framework provides sensitivity to technology trends, business trends, and policy scenarios. Logistics costs, outsourcing of logist...

The US Army faces a significant burden in planning sustainment operations. Currently, logistics planners must manually evaluate potential emplacement sites to determine their terrain suitability. Sites subject to rainfall-runoff responses such as flooding are ill-suited for emplacements, but evaluating the likelihood of such responses requires significant time and expertise. To reduce the time ...

Regional logistics demand prediction directly affects regional economy development and logistics planning. Grey prediction, BP neural network, grey neural network and other methods have been widely used in the prediction of complex nonlinear logistics demand system. In this study, an improved grey neural network model was proposed based on these models. First, in this model, the grey influence ...

Modern logistics systems are characterized by an increasing structural complexity and dynamicity, which arises from trends in the global economy, decomposition of supply chains and individual customer demands. These trends have amplified the need for greater flexibility in the (re-)configuration of supply chains and, additionally, the demand to move from centralized to decentralized IT solution...

Radio frequency identification technology (RFID) is a non-contact intelligent identification system, its main advantage lies in the wide range of recognition, information capacity, security, excellent resistance to abrasion, reusable. It can take place of the traditional bar code recognition technology, and be applied to the area of modern intelligence logistics management. This thesis introduc...

one of the important issues in transportation and logistics systems is vehicle routing problem (vrp). the vehicle routing problem is concerned with finding efficient routes of minimum total cost, beginning and ending at a central depot, for a fleet of vehicles to serve a number of customers. on the other hand, as a result of the increasing environmental concerns, economic problems and pressure ...