نتایج جستجو برای: production distribution networks
تعداد نتایج: 1576682 فیلتر نتایج به سال:
this paper illustrates the application of s-transform and continuous wavelet transform (cwt) for fault location in combined overhead line and cable distribution networks. the high frequency transient signals originated by faults are analyzed using s-transform and cwt. the s-transform is found to be applicable in transient based fault location in distribution networks. this technique is an expan...
background trihalomethanes (thms) are major group of chlorinated by products, potentially hazardous and carcinogenicity of these compounds was recognized. the purpose of this study was survey on thms concentration in ahvaz drinking water. material and methods a descriptive cross-sectional study was based on 36-week sampling program during the winter, spring and summer of 2011 in water distribut...
Electricity consumption has been rising with an average annual growth of 7% in Iran and the imbalance in production and consumption has caused power outage crisis and economic losses. More than 50% of peak electricity demand is related to the household sector, so the household sector can be considered as the most effective component of the electricity crisis. Investment costs for the constructi...
Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final produc...
Recently, smart grids have been considered as one of the vital elements in upgrading current power systems to a system with more reliability and efficiency. Distributed generation is necessary for most of these new networks. Indeed, in all cases that DGs are used in distribution systems, protection coordination failures may occur in multiple configurations of smart grids using DGs. In different...
in the present study iran’s rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. the results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as recurrent networks a...
this study tries to provide a virtual image of the structure and design of facenama, cloob, facebook and google+ social networks. the main question in this study is which variable or variables are differ in the structure and design of social networks of iranian and non-iranian. content analysis has been used in this study. content analysis is a research method to describe the objective, systema...
considering the network structure is one of the new approaches in studying stochastic pert networks (spn). in this paper, planar networks are studied as a special class of networks. two structural reducible mechanisms titled arc contraction and deletion are developed to convert any planar network to a series-parallel network structure. in series-parallel spn, the completion time distribution fu...
in today's globalization, an effective integration of production and distribution plans into a unified framework is crucial for attaining competitive advantage. this paper addresses an integrated multi-product and multi-time period production/distribution planning problem for a two-echelon supply chain subject to the real-world variables and constraints. it is assumed that all transportations a...
Due to the importance of longest path analysis in networks of queues, we develop an analytical method for computing the steady-state distribution function of longest path in acyclic networks of queues. We assume the network consists of a number of queuing systems and each one has either one or infinite servers. The distribution function of service time is assumed to be exponential or Erlang. Fu...
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