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Article
Publication date: 28 October 2020

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…

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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

Journal of Workplace Learning, vol. 32 no. 8
Type: Research Article
ISSN: 1366-5626

Keywords

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Article
Publication date: 3 January 2017

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.

388

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

Aircraft Engineering and Aerospace Technology, vol. 89 no. 1
Type: Research Article
ISSN: 1748-8842

Keywords

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Article
Publication date: 26 July 2021

Neama Temraz

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.

67

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.

Details

Journal of Quality in Maintenance Engineering, vol. 28 no. 4
Type: Research Article
ISSN: 1355-2511

Keywords

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