Su-Ling Fan, Wei-San Ong, Chun-Tin Wu, Nuria Forcada Matheu and Hamidreza Alavi
The purpose of this paper is to address the problems of the current facilities maintenance management (FMM) system in finding necessary information, identifying defective…
Abstract
Purpose
The purpose of this paper is to address the problems of the current facilities maintenance management (FMM) system in finding necessary information, identifying defective facilities and prioritizing maintenance work orders.
Design/methodology/approach
In this paper, in conjunction with building information modeling, a system is proposed to perform a preliminary inspection of each maintenance request, provide FMM staff with the location of the faulty facility and its associated details and provide recommendations for prioritizing repair work orders. Unity and Revit are used to implement the proposed system and a case study is conducted to demonstrate its effectiveness.
Findings
An augmented reality (AR)-FMM system was developed using the AR technique in this paper. This system provides the related information even if the FMM receives a problem report without facility information from the occupant and performs a preliminary inspection so that the faulty facility and the route to it are identified. In addition, a work order sequence of pending requests was provided. The visualization of the facility using AR technology has brought great convenience and ease to FMM staff.
Originality/value
This paper addresses the problems encountered in the current facility maintenance management system concerning AR technology.
Details
Keywords
Hamidreza Shahbaznezhad, Mona Rashidirad and Isaac Vaghefi
While numerous studies have studied knowledge transfer (KT) and endeavored to address factors influencing KT, little effort has been made to integrate the findings of prior…
Abstract
Purpose
While numerous studies have studied knowledge transfer (KT) and endeavored to address factors influencing KT, little effort has been made to integrate the findings of prior studies. This paper aims to classify the literature on KT through a detailed exploration of different perspectives of KT inter and intra organizations.
Design/methodology/approach
Using actor–network theory (ANT) as the baseline, we conducted a systematic review of KT research to summarize prior KT studies and classify the influential factors on KT. The review covered 115 empirical articles published between 1987 and 2017.
Findings
Drawing on the review and ANT guidelines, the authors proposed a conceptual model to categorize KT constitutes into objects including those related to (1) knowledge, (2) knowledge exchange and (3) technology, as well as actants including those related to (4) organization, (5) team/business unit and (6) knowledge sender/receiver.
Research limitations/implications
Adopting a holistic synthesized approach based on ANT, this research puts forward a valid theoretical foundation on further understanding of KT and its antecedents. Indeed, this paper investigates KT inter and intra organizations to recognize and locate the key antecedents of KT, which is of substantial applicability in today’s knowledge-driven economy.
Practical implications
The findings advance managers and practitioners’ understanding of the important role of actants and objects and their interplay in KT practices.
Originality/value
While most studies on KT have a narrow focus, this research contributes to holistic understanding of motivational, behavioral, technological and organizational issues related to KT. It also offers a thorough and context-free literature review on KT, which synthesizes the findings of prior studies on KT.
Details
Keywords
Hamidreza Najafi, Ahmad Golrokh Sani and Mohammad Amin Sobati
In this study, a different approach is introduced to generate the kinetic sub-model for the modeling of solid-state pyrolysis reactions based on the thermogravimetric (TG…
Abstract
Purpose
In this study, a different approach is introduced to generate the kinetic sub-model for the modeling of solid-state pyrolysis reactions based on the thermogravimetric (TG) experimental data over a specified range of heating rates. Gene Expression Programming (GEP) is used to produce a correlation for the single-step global reaction rate as a function of determining kinetic variables, namely conversion, temperature, and heating rate.
Design/methodology/approach
For a case study on the coal pyrolysis, a coefficient of determination (R2) of 0.99 was obtained using the generated model according to the experimental benchmark data. Comparison of the model results with the experimental data proves the applicability, reliability, and convenience of GEP as a powerful tool for modeling purposes in the solid-state pyrolysis reactions.
Findings
The resulting kinetic sub-model takes advantage of particular characteristics, to be highly efficient, simple, accurate, and computationally attractive, which facilitates the CFD simulation of real pyrolizers under isothermal and non-isothermal conditions.
Originality/value
It should be emphasized that the above-mentioned manuscript is not under evaluation in any journals and submitted exclusively for consideration for possible publication in this journal. The generated kinetic model is in the final form of an algebraic correlation which, in comparison to the conventional kinetic models, suggests several advantages: to be relatively simpler, more accurate, and numerically efficient. These characteristics make the proposed model computationally attractive when used as a sub-model in CFD applications to simulate real pyrolizers under complex heating conditions.
Details
Keywords
HamidReza KhakRah, Mehdi Mohammaei, Payam Hooshmand, Navid Bagheri and Emad Hasani Malekshah
The nanofluid flow and heat transfer within a heat exchanger, with different thermal arrangements of internal active bodies, are investigated.
Abstract
Purpose
The nanofluid flow and heat transfer within a heat exchanger, with different thermal arrangements of internal active bodies, are investigated.
Design/methodology/approach
For the numerical simulations, the lattice Boltzmann method is utilized. The KKL model is used to predict the dynamic viscosity of CuO-water nanofluid. Furthermore, the Brownian method is taken account using this model. The influence of shapes of nanoparticles on the heat transfer performance is considered.
Findings
The results show that the platelet nanoparticles render higher average Nusselt number showing better heat transfer performance. In order to perform comprehensive analysis, the heatline visualization, local and total entropy generation, local and average Nusselt variation are employed.
Originality/value
The originality of this work is carrying out a comprehensive investigation of nanofluid flow and heat transfer during natural convection using lattice Boltzmann method and employing second law analysis and heatline visualization.
Details
Keywords
Effat Hatefnia and Azam Raoofi
Osteoporosis is a metabolic bone disease and a growing global health problem. It is estimated that about 200m people are suffering from this disease in the world. The purpose of…
Abstract
Purpose
Osteoporosis is a metabolic bone disease and a growing global health problem. It is estimated that about 200m people are suffering from this disease in the world. The purpose of this paper is to investigate the perceptions and factors influencing the intention to do regular physical activities in order to prevent osteoporosis in Iranian Muslim working women.
Design/methodology/approach
The present cross-sectional descriptive study was conducted on 217 women employed in a university in Iran. The tool for data collection was a researcher-made questionnaire that had gone through validity and reliability processes. The data analysis was done using SPSS ver. 19 software as well as statistical descriptive and analytical tests.
Findings
The majority of participants were aged 30–39 (50.7 percent) and the least ones were 40 years old (24.4 percent). In total, 67.7 percent of the participants were married. Also, 77 percent of the participants had religious belief on the duty to do strong physical activities, and 83 percent had intention to do physical activities. The results showed that there was a significant difference in the mean scores of self-efficacy and the mean scores of religious belief between the women with and without having intention to do physical activities (p<0.01).
Originality/value
Regarding the relationship that self-efficacy and religious belief had with the intention to do physical activities in women employees, the need to address this issue through educational programming with the focus on self-efficacy and religious culture seems to find priority.