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Article
Publication date: 1 February 1997

Jay Liebowitz, Vijaya Krishnamurthy, Ira Rodens, Chapman Houston, Alisa Liebowitz, Seung Baek, Joe Radko, Janet Zeide and William Potter

Describes some of the authors’ experiences in managing a two‐year expert scheduling system project called GUESS (Generically Used Expert Scheduling System), developed for NASA…

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Abstract

Describes some of the authors’ experiences in managing a two‐year expert scheduling system project called GUESS (Generically Used Expert Scheduling System), developed for NASA. Many expert systems are technical successes, but technology transfer failures. Part of the reason that some expert system projects fail is due to management issues. First discusses the GUESS project and then highlights some lessons learned on managing an expert systems project based on the GUESS experience.

Details

Kybernetes, vol. 26 no. 1
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 8 October 2024

Nagisetty Jyothi and Vijaya Kumar Avula Golla

This study aims to analyze the multi-slip effects of entropy generation in steady non-linear magnetohydrodynamics thermal radiation with Williamson nanofluid flow across a porous…

12

Abstract

Purpose

This study aims to analyze the multi-slip effects of entropy generation in steady non-linear magnetohydrodynamics thermal radiation with Williamson nanofluid flow across a porous stretched sheet near a stagnation point. Also, the qualities of viscous dissipation, Cattaneo–Christove heat flux and Arrhenius activation energy are taken into account. Thermophoresis, Brownian motion and Joule heating are also considered.

Design/methodology/approach

The Navier–Stokes equation, the thermal energy equation and the Solutal concentration equations are the governing mathematical equations that describe the flow and heat and mass transfer phenomena for fluid domains. By using the proper similarity transformations, a set of ordinary differential equationss are retrieved from boundary flow equations. The classical Runge–Kutta fifth-order algorithm along with the shooting technique is implemented to solve the obtained first order differential equations.

Findings

The study concludes that the temperature distribution boosting for thermal radiation, magnetic field and Eckert number where as the velocity and entropy generation escalate for the Williamson parameter, diffusion parameter and Brinkman number. The skin-friction and heat and mass transfer rate increases with the fluid injection. In addition, tabulated values of friction drag and rate of heat and mass transfer for various values of constraints are provided.

Originality/value

The comparison of the present results is carried out with the published results and noted a good agreement.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 18 July 2019

Rahul SG and Sharmila A.

This paper aims to investigate two control mechanisms on the two parameters, namely, spindle speed and tool pin position, while performing friction stir welding (FSW) for…

68

Abstract

Purpose

This paper aims to investigate two control mechanisms on the two parameters, namely, spindle speed and tool pin position, while performing friction stir welding (FSW) for aluminium metal matrix composites (Al-MMC) using the concept of system identification.

Design/methodology/approach

FSW is a feasible choice for joining of Al-MMC over the fusion welding due to the formation of the narrow heat-affected zone and minimizing the formation of intermetallic compounds at weld interface. The goal in FSW is to generate enough thermal energy by friction between the workpiece and rotating tool. Heat energy is generated due to mechanical interaction because of the difference in velocity between the workpiece and rotating tool. The generated heat is proportional to the tool pin position and the spindle speed. In the present work, a Smith Predictor Control scheme and adaptive control scheme are developed during joining of Al6061/SiC/B4C Al-MMC by FSW. Adaptive controller is developed to control the tool pin position while Smith Predictor control is developed to control the spindle speed. Initially, the Al-MMC plates are prepared at five combinations of SiC and B4C reinforcements and welded at three level parameter settings followed by tensile testing. The experimental data are used in estimating the plant transfer function model using system identification. The control schemes are then developed for the estimated plant model and the same are validated using a standard PID controller. In both the control schemes, PID controller results in a sluggish response. Experimental validations are performed for the developed control schemes followed by microscopic studies of the weldments.

Findings

In both the control schemes, PID controller results in a sluggish response. Experimental validations are performed for the developed control schemes followed by microscopic studies of the weldments.

Research limitations/implications

Results from the study concluded that the developed MRAC and Smith predictor scheme effectively controlled the vibrations and spindle speed effectively.

Originality/value

It is observed that the scanning electron microscopy micrographs of the Al-MMC’s welded using developed control schemes resulted in good boding with homogenous distribution of reinforcement particles.

Details

World Journal of Engineering, vol. 16 no. 4
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 22 August 2023

Oghenere Gabriel Salubi and Ndakasharwa Muchaonyerwa

This study empirically analyse the lived and individual experiences of internet use time among postgraduate students in a period where the line between the virtual and real is…

181

Abstract

Purpose

This study empirically analyse the lived and individual experiences of internet use time among postgraduate students in a period where the line between the virtual and real is blurred. The infusion of the internet in higher education has not only facilitated the production of new knowledge but has also led to reports of internet addiction among many users during the COVID-19 pandemic and the resulting lockdowns. This study aims to evaluate the level of internet addiction among postgraduate students and the supportive information services role that librarians could provide.

Design/methodology/approach

In this study, 279 postgraduate students completed a quantitative survey targeted at all the postgraduate students at a university campus in South Africa. Data was collected using an adopted internet addiction test questionnaire. The data was descriptively and inferentially analysed.

Findings

As many as 61 (22.7%) are always online, with most of the respondents, 112 (41.6%) spend 10 h or more on the internet daily. Laptop computers at 44.7% emerged as the primary electronic device used by postgraduate students for accessing the internet, surpassing the prevalence of mobile phone usage. On internet addiction level, internet use time had a statistically significant relation with problematic internet use levels in respondents. These results suggest that the increased uncontrolled internet use could negatively interfere with productive academic work of postgraduate students. However, based on the inferential statistical results, it can be concluded that academic use of the internet does not contribute to increased levels of internet addiction. The study recommends that librarians should provide literacy education and resources on how to use the internet safely and responsibly, including tips on setting boundaries, managing time online and productively using online information resources.

Originality/value

The study assesses problematic internet use among postgraduate students and provides suggestions on supportive information services that librarians could provide in an era where many library information services provision and higher education are hinged on the internet.

Details

Digital Library Perspectives, vol. 39 no. 4
Type: Research Article
ISSN: 2059-5816

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Article
Publication date: 18 October 2019

Rahul S.G. and Sharmila A.

The purpose of this study is to present a comprehensive review of the fundamental concepts and terminologies pertaining to different types of aluminium metal matrix composites…

229

Abstract

Purpose

The purpose of this study is to present a comprehensive review of the fundamental concepts and terminologies pertaining to different types of aluminium metal matrix composites, their joining techniques and challenges, friction stir welding (FSW) process, post-welding characterizations and basic control theory of FSW, followed by the discussions on the research reports in these areas.

Design/methodology/approach

Joining of aluminium metal matrix composites (Al-MMC) poses many challenges. These materials have their demanding applications in versatile domains, and hence it is essential to understand their weldability and material characteristics. FSW is a feasible choice for joining of Al-MMC over the fusion welding because of the formation of narrow heat affected zone and minimizing the formation of intermetallic compounds at weld interface. The goal in FSW is to generate enough thermal energy by friction between the workpiece and rotating tool. Heat energy is generated by mechanical interaction because of the difference in velocity between the workpiece and rotating tool. In the present work, a detailed survey is done on the above topics and an organised conceptual context is presented. A complete discussion on significance of FSW process parameters, control schemes, parameter optimization and weld quality monitoring are presented, along with the analysis on relation between the interdependent parameters.

Findings

Results from the study present the research gaps in the FSW studies for joining of the aluminium-based metal matrix composites, and they highlight further scope of studies pertaining to this domain.

Originality/value

It is observed that the survey done on FSW of Al-MMCs and their control theory give an insight into the fundamental concepts pertaining to this research area to enhance interdisciplinary technology exploration.

Details

World Journal of Engineering, vol. 16 no. 6
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 10 August 2018

Cigdem Gonul Kochan and David R. Nowicki

The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of…

8237

Abstract

Purpose

The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship.

Design/methodology/approach

The paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature.

Findings

The findings of this study outline the gaps in the SCRES literature and present an agenda for future research.

Research limitations/implications

This paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives.

Practical implications

The typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs.

Originality/value

The paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 8
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 9 March 2023

Mina Heydari Torkamani, Yaser Shahbazi and Azita Belali Oskoyi

Historical bazaars, a huge treasure of Iranian culture, art and economy, are places for social capital development. Un-supervised management in past decades has led to the…

67

Abstract

Purpose

Historical bazaars, a huge treasure of Iranian culture, art and economy, are places for social capital development. Un-supervised management in past decades has led to the demolition and change of historical bazaars and negligence of its different aspects. The present research aims to investigate the resilience of historical bazaars preserving their identity and different developments.

Design/methodology/approach

The artificial neural network (ANN) has been applied to investigate the resilience of historical bazaars. This model consists of three main networks for evaluating the resilience of historical networks in terms of adaptability, variability and reactivity.

Findings

The ANN proposed to evaluate the resilience of historic bazaars based on the mentioned factors is efficient. By calculating mean squared error (MSE), the model accuracy for evaluating adaptability, variability and reactivity were obtained at 7.62e-25, 2.91e-24 and 1.51e-24. The correlation coefficient was obtained at a significance level of 99%. This indicates the considerable effectiveness of the artificial intelligence model in modeling and predicting the qualitative properties of historical bazaars resilience.

Originality/value

This paper clarifies indexes and components of resilience in terms of adaptability, variability and reactivity. Then, the ANN model is obtained with the least error and very high accuracy that predict the resilience of historical bazaars.

Details

Smart and Sustainable Built Environment, vol. 13 no. 6
Type: Research Article
ISSN: 2046-6099

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Article
Publication date: 28 September 2023

Pankaj Kumar Detwal, Rajat Agrawal, Ashutosh Samadhiya, Anil Kumar and Jose Arturo Garza-Reyes

This study aims to examine current research on the relationship between Operational Excellence and Healthcare 4.0 (H4.0) for healthcare organizations.

447

Abstract

Purpose

This study aims to examine current research on the relationship between Operational Excellence and Healthcare 4.0 (H4.0) for healthcare organizations.

Design/methodology/approach

The authors have performed a systematic literature review of 102 documents published between 2011 and 2022 from the Scopus database to identify the research trends on Operational Excellence and H4.0. Through a descriptive bibliometric analysis, this study has highlighted the year-wise trend in publication, top authors, prominent sources of publications, the country-wise spread of research activities and subject area analysis. Furthermore, through content analysis, this study has identified four clusters and proposed directions for future research of each identified cluster.

Findings

Results reflect overall growth in this area, with a few parts of the world being underrepresented in research related to Operational Excellence and H4.0. The content analysis focused on describing challenges pertaining to healthcare industries and the role of Operational Excellence tools and H4.0 technologies in dealing with various healthcare delivery aspects. The authors concluded their analysis by proposing a theoretical framework and providing theoretical and managerial implications of the study.

Originality/value

To the best of the authors’ knowledge, the paper is one of the first to analyze the existing literature on the healthcare sector at the interface of Operational Excellence and H4.0 technologies. The conceptual framework and cluster-wise future research prepositions are some of the unique offerings of the study.

Details

International Journal of Lean Six Sigma, vol. 15 no. 1
Type: Research Article
ISSN: 2040-4166

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