Mohsen Shahriari and Sayyed Mohsen Allameh
The primary purpose of this study is to examine the effect of organizational culture (OC), that is, group, developmental, hierarchical and rational culture on organizational…
Abstract
Purpose
The primary purpose of this study is to examine the effect of organizational culture (OC), that is, group, developmental, hierarchical and rational culture on organizational learning (OL) of employees in electricity distribution companies of Isfahan province. Further, the role of the high-performance work system (HPWS) as a mediator between OC and OL has also been explored.
Design/methodology/approach
Questionnaire survey method has been used for data collection, and data analysis was completed through a two-stage partial least squares structural equation modeling technique. At the first stage, the measurement model was examined for construct validity and reliability, whereas at the second stage, the structural model and by implication the research hypotheses were tested.
Findings
Results indicate that OC positively affects OL. Further, HPWS act as a mediating variable between OC and OL.
Originality/value
The findings contribute to the existing literature by demonstrating the mediating role of HPWS in the relationship between OC and learning.
Details
Keywords
Hamid Asgari, Mohsen Fathi Jegarkandi, XiaoQi Chen and Raazesh Sainudiin
The purpose of this paper is to develop and compare conventional and neural network-based controllers for gas turbines.
Abstract
Purpose
The purpose of this paper is to develop and compare conventional and neural network-based controllers for gas turbines.
Design/methodology/approach
Design of two different controllers is considered. These controllers consist of a NARMA-L2 which is an artificial neural network-based nonlinear autoregressive moving average (NARMA) controller with feedback linearization, and a conventional proportional-integrator-derivative (PID) controller for a low-power aero gas turbine. They are briefly described and their parameters are adjusted and tuned in Simulink-MATLAB environment according to the requirement of the gas turbine system and the control objectives. For this purpose, Simulink and neural network-based modelling is used. Performances of the controllers are explored and compared on the base of design criteria and performance indices.
Findings
It is shown that NARMA-L2, as a neural network-based controller, has a superior performance to PID controller.
Practical implications
This study aims at using artificial intelligence in gas turbine control systems.
Originality/value
This paper provides a novel methodology for control of gas turbines.
Details
Keywords
In this paper, a new general system consisted of l subsystems connected in series is introduced. Each subsystem connected in K-out-of-(n + m): G mixed standby configuration.
Abstract
Purpose
In this paper, a new general system consisted of l subsystems connected in series is introduced. Each subsystem connected in K-out-of-(n + m): G mixed standby configuration.
Design/methodology/approach
The lifetime of the system's units is assumed to be exponentially distributed and there is elapsed repair time with general distribution. The switch in each subsystem is assumed to be imperfect with the failure process follows an exponential distribution. A genetic algorithm is applied to the system to obtain the optimal solution of the system and solve the redundancy allocation problem.
Findings
Analysis of availability, reliability, mean time to failure and steady-state availability of the system is introduced. The measures of the system are discussed in special two cases when the elapsed repair time follows gamma and exponential distribution. An optimization problem with bi-objective functions is introduced to minimize the cost of the system and maximize the reliability function. A numeric application is introduced to show the implementation and effectiveness of the system and redundancy allocation problem.
Originality/value
A new general K-out-of-(n + m): G mixed standby model with elapsed repair time and imperfect switching is introduced.