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Open Access
Article
Publication date: 26 May 2023

Mpho Trinity Manenzhe, Arnesh Telukdarie and Megashnee Munsamy

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

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Abstract

Purpose

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

Design/methodology/approach

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

Findings

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

Research limitations/implications

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

Practical implications

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

Social implications

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

Originality/value

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

Details

Journal of Quality in Maintenance Engineering, vol. 29 no. 5
Type: Research Article
ISSN: 1355-2511

Keywords

Open Access
Article
Publication date: 7 May 2019

Yanan Wang, Jianqiang Li, Sun Hongbo, Yuan Li, Faheem Akhtar and Azhar Imran

Simulation is a well-known technique for using computers to imitate or simulate the operations of various kinds of real-world facilities or processes. The facility or process of…

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Abstract

Purpose

Simulation is a well-known technique for using computers to imitate or simulate the operations of various kinds of real-world facilities or processes. The facility or process of interest is usually called a system, and to study it scientifically, we often have to make a set of assumptions about how it works. These assumptions, which usually take the form of mathematical or logical relationships, constitute a model that is used to gain some understanding of how the corresponding system behaves, and the quality of these understandings essentially depends on the credibility of given assumptions or models, known as VV&A (verification, validation and accreditation). The main purpose of this paper is to present an in-depth theoretical review and analysis for the application of VV&A in large-scale simulations.

Design/methodology/approach

After summarizing the VV&A of related research studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations (such as crowd network simulations).

Findings

The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations (such as crowd network simulations).

Originality/value

This paper will help researchers to provide support of a recommendation for formulating VV&A in large-scale simulations (such as crowd network simulations).

Details

International Journal of Crowd Science, vol. 3 no. 1
Type: Research Article
ISSN: 2398-7294

Keywords

Open Access
Article
Publication date: 18 November 2021

Fauziah Eddyono, Dudung Darusman, Ujang Sumarwan and Fauziah Sunarminto

This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in…

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Abstract

Purpose

This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.

Design/methodology/approach

Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.

Findings

This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.

Research limitations/implications

This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.

Practical implications

The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.

Social implications

Sustainable tourism development.

Originality/value

This study finds the expansion of new theory competitiveness of ecotourism destinations.

Details

Journal of Tourism Futures, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2055-5911

Keywords

Open Access
Article
Publication date: 15 March 2024

Di Cheng, Yuqing Wen, Zhiqiang Guo, Xiaoyi Hu, Pengsong Wang and Zhikun Song

This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).

Abstract

Purpose

This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).

Design/methodology/approach

Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.

Findings

The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.

Originality/value

Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.

Details

Railway Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2755-0907

Keywords

Open Access
Article
Publication date: 17 December 2021

Marcos Fraiha

The purpose of this report was to evaluate the effectiveness and practicality of system dynamics modeling in integrating econometric equations to describe the effects of supply…

Abstract

Purpose

The purpose of this report was to evaluate the effectiveness and practicality of system dynamics modeling in integrating econometric equations to describe the effects of supply chain material and information delays on pricing decisions and consequent financial results in an animal feed export business.

Design/methodology/approach

An empirical dynamic model, loaded with econometric theory of price effect on competitive demand, was used to describe the input data.

Findings

The model simulation outputs proved themselves relevant in analyzing the complex interconnections of multiple variables affecting the profitability in a commercial routine, supporting the decision process among sales managers. The impact of information delay on price decisions and business financial results were estimated using the model proposed.

Originality/value

This paper describes an empirical model, based on system dynamics, that predicts operating contribution margins and cash conversion cycles based on estimation of information and material delays in a supply chain. The method is pragmatic and simple for business routine implementation.

Details

European Journal of Management Studies, vol. 27 no. 1
Type: Research Article
ISSN: 2183-4172

Keywords

Open Access
Article
Publication date: 1 July 2021

Makoto Kimura

This study presents the applicability of a model-based approach for loyalty program forecasting using smartphone app in the digital strategy of the retail industry.

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Abstract

Purpose

This study presents the applicability of a model-based approach for loyalty program forecasting using smartphone app in the digital strategy of the retail industry.

Design/methodology/approach

The authors develop a dynamic model with the cyclical structure of customer segments through customer experience. They use time-series data on the number of members of the loyalty program, “Seven Mile Program” and confirm the validity of the approximate calculation of customer segment share, customer segment sales share and aggregate sales performance. The authors present three medium-term forecast scenarios after the launch of a smartphone payment service linked with the loyalty program.

Findings

The sum of the two customer segment shares for forecasting (the sum of the quasi-excellent and excellent customer ratios) is about 30% in each scenario, consistent with an essential customer loyalty (true loyalty) share obtained in the existing empirical study.

Research limitations/implications

Digital strategy in the retail industry should focus more on estimating and forecasting average amounts of customer segments and the number of aggregated customers through the digitalization on the customer side than on individual customer journeys and responses.

Practical implications

Multi-scenario evaluation through simulation of dynamic models from a systemic view can be used for decision-making in retailing digital strategies.

Originality/value

This study builds a model that integrates the cyclicality of customer segment transition through customer experiences into a loyalty matrix framework, which is a method that has previously been used in the hospitality industry.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 34 no. 3
Type: Research Article
ISSN: 1355-5855

Keywords

Open Access
Article
Publication date: 22 November 2023

Christopher Owen Cox and Hamid Pasaei

According to the Project Management Institute, 70% of projects fail globally. The causes of project failure in many instances can be identified as non-technical or behavioral in…

Abstract

Purpose

According to the Project Management Institute, 70% of projects fail globally. The causes of project failure in many instances can be identified as non-technical or behavioral in nature arising from interactions between participants. These intangible risks can emerge in any project setting but especially in project settings having diversity of cultures, customs, beliefs and traditions of various companies or countries. This paper provides an objective framework to address these intangible risks.

Study design/methodology/approach

This paper presents a structured approach to identify, assess and manage intangible risks to enhance a project team’s ability to meet its objectives. The authors propose a user-friendly framework, Intangible Risk Assessment Methodology for Projects (IRAMP), to address these risks and the factors that cause them. Meta-network (e.g., a network of networks) simulation and established social network analysis (SNA) measures provide a quantitative assessment and ranking of causal events and their influence on the intangible behavior centric risks.

Findings

The proposed IRAMP and meta-network approach were utilized to examine the project delivery process of an international energy firm. Data were gathered using structured interviews, surveys and project team workshops. The use of the IRAMP to highlight intangible risk areas underpinned by the SNA measures led to changes in the company’s organizational structure to enhance project delivery effectiveness.

Originality/value

This work extends the existing project risk management literature by providing a novel objective approach to identify and quantify behavior centric intangible risks and the conditions that cause them to emerge.

Details

International Journal of Industrial Engineering and Operations Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2690-6090

Keywords

Open Access
Article
Publication date: 5 July 2023

Hanneke du Preez, Tanya Hill, Liza Coetzee, Lungelo Motsamai and Karen Stark

Students completing their tertiary education at a university may be equipped with theoretical knowledge with little to no practical experience. In order to bridge this gap in…

Abstract

Purpose

Students completing their tertiary education at a university may be equipped with theoretical knowledge with little to no practical experience. In order to bridge this gap in practical skills, a computer simulation was developed based on the e-filing platform of the South African Revenue Services (SARS). Students were exposed to this self-developed computer simulation to answer the question: to what extent will the e-filing simulation improve students' confidence to practically apply their theoretical knowledge?

Design/methodology/approach

The research applied a pre–post questionnaire research method to gauge the students' ability to apply their theoretical knowledge to a practical scenario before and after the simulation.

Findings

From the results, it is apparent that the students were inspired with confidence in getting to terms with the application of their theoretical knowledge in a real-life scenario. The computer simulation provided the platform for learning to take place in a practical environment without the risk of errors that would translate into real financial consequences.

Originality/value

The contribution of this research can be found in a teaching intervention that may support the training of future tax professionals in practical application skills. The contribution can be extended to the enhancement of education in the field of taxation, particularly with the results' showing that the students experienced high levels of increased confidence in their application of theoretical knowledge to real-life scenarios.

Details

Journal of Research in Innovative Teaching & Learning, vol. 16 no. 2
Type: Research Article
ISSN: 2397-7604

Keywords

Open Access
Article
Publication date: 26 June 2023

İpek Akad and Çağaçan Değer

This study aims to explain the effect of research and development (R&D) incentives on economic growth, focusing on the case of Türkiye. A one-sector endogenous growth model has…

Abstract

Purpose

This study aims to explain the effect of research and development (R&D) incentives on economic growth, focusing on the case of Türkiye. A one-sector endogenous growth model has been constructed. The model includes three actors: firm, consumer and government. The consumer derives utility from consumption, supplies human capital and engages in saving. The representative firm invests in R&D to maximize the current value of profit flows by choosing how much input it will use and how much R&D it will undertake. The public sector provides incentives for labor and capital used in R&D production. R&D has been defined as a function that endogenously increases total factor productivity (TFP).

Design/methodology/approach

In line with the stated purpose, this study presents a dynamic general equilibrium model. Then, this study calibrates the model parameters with Türkiye's data.

Findings

The results imply that incentives for R&D personnel instead of physical capital have a stronger impact on economic growth.

Practical implications

The findings of this study point to an important conclusion on how to distribute R&D incentives across the two main factors in R&D production, labor and capital. Incentives given to R&D personnel are more effective in Türkiye.

Originality/value

This study shows that the R&D incentives provided by the public sector can be important in emerging countries where many firms have just started their R&D activities. In this study, the authors worked on Türkiye as an emerging country. This study discusses policies on how the R&D incentives will be more effective on economic growth in Türkiye. This study considers that these policies may apply to all emerging countries, due to similar R&D activities in countries that cannot export technology and mostly import technology.

研究目的

本研究擬以土耳其的實例為焦點, 探討研究與開發 (研發) 的激勵如何影響經濟的增長;具體地說, 研究旨在探討透過不同生產要素所提供的研發激勵所產生的影響存在著什麼差異。

研究設計/方法/理念

為達研究目的, 研究人員構建了一部門內生增長模型。模型內有三個參與者: 公司、消費者和政府。消費者從消費中得到他們所需要的, 提供人力資本, 並參與儲蓄的活動。為了要把利潤的現值儘量提高, 代表公司透過調控投入的數量和研發的承擔, 投資在研發上。公共部門會為研發生產上使用的勞工和資本提供激勵。研究與開發被解釋為一個以內生方式增加全要素生產率的功能。構建的模型是因應土耳其的經濟狀況而調整出來的, 當中也進行了仿真模擬。

研究結果

研究結果暗示, 為研發人員提供的激勵, 而不是物質資本, 更能推動經濟增長。

實務方面的啟示

研究結果, 就如何於研發生產的兩個主要因素之間, 即勞工與資本之間, 分配研發激勵的問題上, 提供了重要的結論;就土耳其而言, 分配給研發人員的激勵是更為有效的。

研究的原創性/價值

我們展示了在新興國家裏, 公共部門提供的研發激勵是重要的, 而在這些國家裏, 剛開始進行研發活動的公司為數不少。在本研究裏, 我們把土耳其當作新興國家看待。我們討論了若要在土耳其使研發激勵更有效地幫助推動經濟增長, 什麼政策是最合適的呢? 因為那些不能把技術出口到其它地方, 而主要靠引進技術的國家均進行相似的研發活動, 所以我們認為討論得來的政策是可應用於所有新興國家的。

Open Access
Article
Publication date: 7 June 2023

Enoch Owusu-Sekyere, Helena Hansson, Evgenij Telezhenko, Ann-Kristin Nyman and Haseeb Ahmed

The purpose of this paper was to assess the economic impact of investment in different animal welfare–enhancing flooring solutions in Swedish dairy farming.

Abstract

Purpose

The purpose of this paper was to assess the economic impact of investment in different animal welfare–enhancing flooring solutions in Swedish dairy farming.

Design/methodology/approach

The authors developed a bio-economic model and used stochastic partial budgeting approach to simulate the economic consequences of enhancing solid and slatted concrete floors with soft rubber covering.

Findings

The findings highlight that keeping herds on solid and slatted concrete floor surfaces with soft rubber coverings is a profitable solution, compared with keeping herds on solid and slatted concrete floors without a soft covering. The profit per cow when kept on a solid concrete floor with soft rubber covering increased by 13%–16% depending on the breed.

Practical implications

Promoting farm investments such as improvement in flooring solution, which have both economic and animal welfare incentives, is a potential way of promoting sustainable dairy production. Farmers may make investments in improved floors, resulting in enhanced animal welfare and economic outcomes necessary for sustaining dairy production.

Originality/value

This literature review indicated that the economic impact of investment in specific types of floor improvement solutions, investment costs and financial outcomes have received little attention. This study provides insights needed for a more informed decision-making process when selecting optimal flooring solutions for new and renovated barns that improve both animal welfare and ease the burden on farmers and public financial support.

Details

British Food Journal, vol. 125 no. 12
Type: Research Article
ISSN: 0007-070X

Keywords

1 – 10 of over 1000