Hitherto, instrumentation network design methodologies have been based solely upon sensor capital costs. Within this framework the cost of new instrumentation is minimized subject to constraints indicating the desired level of performance. While, these formulations account for the cost of a network, they do not reflect the potential benefit of adding sensors. To capture this potential profit, w...

increasing global notices in environmental protection, green supply chain management (gscm) has received much attention by researchers and managers more than the past. commonly, firms have considered cost criteria to select their suppliers. despite the fact that there are various papers considering the formal criteria in supplier selection, there is a few limited numbers considering the environ...

in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

in this paper an efficient three- stage algorithm is developed for software production cost and time estimation. first stage includes a hybrid model composed of cocomo and function points methods to increase estimation accuracy. second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...

ecological destruction in human-dominated landscapes has significant impacts on environment sustainability internationally. landscape planning can play a role in mitigating the effects of human-related activities. one element of landscape planning involves the analysis of the biological, spatial and social arrangement of areas in an urban environment and identifying characteristics that are und...

abstract: background: depending on the importance of a good performance appraisal system to achieve organizational strategies, balanced scorecard technique provides a comprehensive foundation for interpreting and translating organization’s vision and strategy in a set of performance measures by regarding an overall view of organization in four perspectives included customer, internal processes,...

In this work, the artificial neural networks (ANN) technology was applied to the simulation of oleuropein extraction process. For this technology, a 3-layer network structure is applied, and the operation factors such as  amount  of  flow  intensity  ratio,  temperature,  residence  time,  and  pH  are  used  as  input  variables  of  the network,  whereas  the  extraction  yield  is  considere...

recently different approaches have been developed in the field of sensor fault diagnostics based on auto-associative neural network (aann). in this paper we present a novel algorithm called self reconstructing auto-associative neural network (s-aann) which is able to detect and isolate single faulty sensor via reconstruction. we have also extended the algorithm to be applicable in multiple faul...