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The relationship between manufacturer and supplier in the automotive industry involves process of knowledge sharing. Knowledge sharing is an important process that may improve manufacturer and supplier performances. In a co-opetition business environment, companies tend to limit knowledge sharing, if they regard their partners as potential competitors. Trust is used to reflect the level of co-opetition...
While renewable generation sources provide many economic and environmental benefits for the operation of power systems, their inherent stochastic nature introduces challenges from the perspective of reliability. Existing optimal power flow (OPF) methods must therefore be extended to consider forecast errors to mitigate in an economic manner the uncertainty that renewable generation introduces. This...
Distribution Network Expansion Planning (DNEP) is the most important factor in the demand growth in the distribution system. Planning involves the best installation of new facilities such as allocation of new feeders, new substations, new routes of new feeders to substations and tie-line routes to other feeders. The Monte Carlo Simulation (MCS) is used for this purpose. In this paper, a new modification...
Present paper computes the interval-valued reliability of an engineering system in the context of the value of state performance. In this study, we have evaluated the interval-valued reliability of a 2-out-of-4 system with the help of reliability function. The considered model of 2-out-of-4 system consists of 2 numbers of components connected in series. The interval universal generating function technique...
Given that dynamically variability and uncertainty (randomness, fuzziness, grayness and unsacertainty) exist in comprehensive evaluation of power quality, this paper described and treated the uncertainty information reasonably in index parameter, boundary and weight. Based on the variable fuzzy sets evaluation method, blind number theory was introduced into power quality evaluation to deal with the...
This paper presents a new framework for evaluating contribution of wind farms in operational reliability level of power systems. In this regard, at first, it provides a short-term analytical model well designed to represent intermittent and uncertain nature of wind power. Combining the attained multi-state model of wind farms with the other committed generating units, operational risk of the system...
Wireless sensor networks (WSNs) consist of connected low-cost and small-size sensor nodes. The sensor nodes are characterized by various limitations, such as energy availability, processing power, and storage capacity. Typically, nodes collect data from an environment and transmit the raw or processed data to a sink. However, the collected data contains often redundant information. An in-network processing...
The growing interest on RES gives traditional power systems an opportunity to evolve towards more sustainable and environmental entities, however the viability of RES would induce stability and reliability issues in power systems. In this paper, a DC optimal power flow (OPF) algorithm considering the worst-case scenario is proposed. It accounts for uncertainties brought by loads and renewable energy...
Power system states are not accurately known ahead of real time and are subject to natural variability, which leads to uncertainty in the system. Sources of uncertainty are amongst others load, renewable energy sources and contingencies. An aggregate measure for system's uncertainty is determined in order to have a single quantified value of the uncertainty level in the system. This allows to compare...
In this work we address the problem of trajectory planning in Graph SLAM. We propose the use of Expected Value of the Final Uncertainty, which summarizes all the possible uncertainties that should be considered. In fully explored environments, this is used to determine the most reliable path to the final position. In partially explored environments, this criteria quantifies the reliability of the...
The goal of bulk power system planning is to ensure that sufficient energy resources and electric transmission infrastructure are installed to serve demand. System planners use forecasts of future demand along with existing and planned resources to determine, on a probabilistic basis, if those resources will be sufficient in meeting reliability targets. Several identified trends within North American...
The growing integration of renewable energy in power systems demands for adequate planning of generation systems not only to meet long-term capacity requirements but also to cope with sudden capacity shortages that can occur during system operation. As a matter of fact, system operators must schedule an adequate amount of operational reserve to avoid capacity deficits which can be caused by, for instance,...
Processing of information from the sensors and the resources available to the commander are very important for his decision-making process. Quality of information for decision-making process has a great importance. This article focuses on the description of the properties of the probabilistic model for processing of sensor signals using the probabilistic model of recognition Custom / Foreign Identification...
For structural system with multiple failure modes extensively present in engineering practice, two regional mode importance measures are proposed on the basis of the existing mode importance measures, i.e., the regional mode importance measure based on failure probability and the regional mode importance measure based on sample mean of output response. Compared with the existing global mode importance...
The design of path allegiance metric (PAM) based routing protocol leverages upon a trust management framework proposed in our earlier works. The PAM routing protocol strives to provide data plane security in mobile ad hoc network and its working is based upon the belief, disbelief and uncertainty components of the trust management framework which assigns a trust metric based upon the packet forwarding...
In the context of swift development of P2P e-commerce, it is critical to defending both customers and sellers from being victimized by probable deception stemming from uncertainties, vagueness and ambiguities that characterize the interactions amongst unfamiliar dealers. Accordingly, credit standing concerning each business partaker plays a decisive part in preventing fraud in P2P transactions and...
This paper addresses a single-period dual sourcing problem with real option under uncertain supply and demand. A retailer, who faces the uncertain market demand, can source from a low-price but unreliable supplier and an expensive but reliable supplier. In order to manage the supply uncertainties and decrease the cost, the retailer orders product from the unreliable supplier and buys option from the...
Some scholars have already proposed a lot of dominance relation and its corresponding rough model under incomplete information system in order to deal with the problem of preference decision which has incomplete information. In the incomplete information system no matter use any dominance relation to construct a rough set model the result is uncertain. In order to reduce the misclassification caused...
In this paper, we propose the interval analysis method for the dynamic response of one stage gear system with uncertain-but-bounded parameters. The simulation results are obtained by the interval analysis method for dynamic analysis under uncertainty. The interval analysis method results are compared with probabilistic approach results. This kind of results is coincident with the meaning of the probabilistic...
Spare parts inventory optimization becomes very important, especially in this environment with lots of materials and low management effectiveness. Nowadays, the optimization weighs of all kinds of indexes meet the difficulty of the lack of statistical data. With the complexity of structure, the variability in operation and the severity of environment, the uncertainty of spare part supply increases...
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