In this paper, we focus on the intermediate nodes of network and quantification of level of commodity and its cost on each node because intermediate nodes have stocking capacities which we generally see in the supply ...In this paper, we focus on the intermediate nodes of network and quantification of level of commodity and its cost on each node because intermediate nodes have stocking capacities which we generally see in the supply chain network. The commodity is supplied from a node to node in response to the power form of demand at a particular time. Since the traffic intensity of the demand of commodity also affects the flow of the commodity in the network, hence study of flow of commodity in the network is believed to be a significant contribution in this area. Several cases of quantifying the level of commodity in different situations as well as the cost analysis of incoming and outgoing commodity at a particular node have been thoroughly discussed in the paper. The present problem, presumably seeks to contribute to managerial decision making in supply chain network.展开更多
To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave r...To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave robots of low cost is presented for the navigation in unknown current.This algorithm only needs a master robot.The master is just a single mobile node which has high navigation performance.Observability of this master-salve system is theoretically analyzed.The conditions of slave robot trajectory under which observability is guaranteed are evaluated by a slave robot in real-time.The slave takes appropriate action to control its heading to achieve observability if observability is lost on the current trajectory.The navigation algorithm is implemented by a standard extended Kalman filter,and it is able to acquire accurate estimation of robot's position.The simulation results show its effectiveness of the proposed algorithm.展开更多
文摘In this paper, we focus on the intermediate nodes of network and quantification of level of commodity and its cost on each node because intermediate nodes have stocking capacities which we generally see in the supply chain network. The commodity is supplied from a node to node in response to the power form of demand at a particular time. Since the traffic intensity of the demand of commodity also affects the flow of the commodity in the network, hence study of flow of commodity in the network is believed to be a significant contribution in this area. Several cases of quantifying the level of commodity in different situations as well as the cost analysis of incoming and outgoing commodity at a particular node have been thoroughly discussed in the paper. The present problem, presumably seeks to contribute to managerial decision making in supply chain network.
基金Natural Science Foundation of Liaoning Province(20102236)
文摘To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave robots of low cost is presented for the navigation in unknown current.This algorithm only needs a master robot.The master is just a single mobile node which has high navigation performance.Observability of this master-salve system is theoretically analyzed.The conditions of slave robot trajectory under which observability is guaranteed are evaluated by a slave robot in real-time.The slave takes appropriate action to control its heading to achieve observability if observability is lost on the current trajectory.The navigation algorithm is implemented by a standard extended Kalman filter,and it is able to acquire accurate estimation of robot's position.The simulation results show its effectiveness of the proposed algorithm.
