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Blockchain is the fastest-growing technology currently being used in the aviation industry, especially in aviation maintenance, repair and overhaul (MRO) services. This study aims to create an analytic framework to assess the main factors and subfactors that have significantly influence the blockchain used in aviation MRO services. A mixed-methods approach is used to gain a comprehensive understanding of how blockchain is being adopted in aircraft maintenance facilities, Semi-structured interviews and questionnaires are used to gather data. The questionnaire is focused on the present state of the MRO industry.

Based on the literature review, a framework including four factors and 12 subfactors is developed, and the analytic hierarchy process (AHP) is then established. This study explores how these factors influence the implementation of blockchain in aviation MRO services. The five aviation MRO services providers in Taiwan, namely, “Evergreen Aviation Technologies Corporation,” “Taiwan Aircraft Maintenance and Engineering Co., Ltd.,” “Air Asia Company Ltd.,” “Aerospace Industrial Development Corp.” and “GE Evergreen Engine Services Corporation” are considered; furthermore, 55 experts working in these organizations were invited to evaluate the relative importance criteria in the AHP framework.

The results indicate that “inventory management” is the most important criterion, followed by “provisioning, procurement and sales” and “maintenance planning.” In addition, the three most important subfactors are “parts interchangeability,” “customer stock” and “SPEC2K interface for ATA SPEC 2000.”

Asia is ranked as the second most important aviation MRO service market in the world. Taiwan has the shortest flight hours in the western Pacific region, the seven major foreign cities in this area. Aviation MRO service providers located in Taiwan are the best choices for aircraft MRO in the Asia-Pacific region, indicating that Taiwan serves as a promising market development evaluation model for blockchain aviation MRO services. The results offer a comprehensive overview of the relative importance of different criteria for MRO services that use blockchains. In addition, the findings present the market potential for key players in the aviation industry, including aircraft engineers, airline companies, aircraft component manufacturers and aviation MRO service providers.

The number of passengers in the aviation sector following COVID-19 has recovered in 2023 and is 5% higher than it was in 2019. The average annual growth of air travel is predicted to be 3.2% between 2019 and 2039. This means the need for aircraft maintenance, repair and overhaul (MRO) services will also increase. Moreover, the stakeholders require lower costs, higher effectiveness/market share and sustainability. These expectations can be realized only with the identification, development and implementation of new innovations while improving and optimizing the already used processes and procedures. Since only highly qualified graduates can reach these requirements, the need for profession-specific MSc and PhD level engineers has elevated significantly. The purpose of this paper is to introduce the development and implementation of a new MRO higher educational framework program in strong cooperation with enterprises and universities.

The emphasis is placed on the program’s scouting, investigation, development, realization and evaluation by defining key performance indexes and aiming for the optimal solution for all participants.

The result of this study is the establishment of a new educational framework, the reinvention of the MSc curriculum and the integration of PhD-level researchers in the industry in a way that fulfills the needs and requirements of the MRO sector. In return, it will give various benefits to all parties involved.

The novelty of this work comes from creating a new educational MSc and PhD level framework that can push the MRO industry forward and fill the gap of missing engineers in this field. Plus, the newly developed program is highly flexible and can be used by other players in the economy after making some adaptions and modifications.

To redesign the spare parts (MRO) inventory management at Company XYZ's warehouse, considering the conditions after the COVID-19 pandemic.

To address this research project, the authors integrated three methodologies: action research, Lean Six Sigma (DMAIC) and Cross Industry Standard Process for Data Mining. These methodologies integrated the Lean Six Sigma (LSS) 4.0 framework applied in this project.

The spare parts inventory value was reduced by 15%, and inventory turnover increased by 120% without negatively impacting the internal service level.

Practitioners leading or participating in continuous improvement projects (CIPs) should consider data quality (data available and data trustworthiness), problem-solving approach and target area involvement to achieve CIP goals. Otherwise, the LSS 4.0 could fail or extend its duration by several weeks or months.

This project shows the importance of controlling a target area before deciding to conduct a LSS 4.0 project. To address this problem, the LSS 4.0 team implemented 5S during the measure phase of the DMAIC. Also, this project offers significant practitioner and theoretical contributions to the body of knowledge about LSS 4.0.

Maintenance stands are the most valuable maintenance resources and provide the necessary maintenance space and maintenance facilities for aircraft maintenance. To expand the maintenance market, maintenance, repair and overhaul (MRO) urgently need to achieve a reasonable schedule between aircraft maintenance requirements and maintenance stand capability to improve aircraft maintenance continuity and reduce the risk of scratching due to aircraft movement. This study aims to design a maintenance stand scheduling (MSS) model based on spatiotemporal constraints to solve the problem of maintenance stand schedules.

To address the problem of maintenance stand schedules, this study introduces mixed-integer programming algorithm to design the MSS model on the basis of classical hybrid flow shop structure. When designing the optimization objective function of MSS modeling, the spatiotemporal constraints are mainly considered. Specifically, first, the spatial constraints between maintenance stands are fully considered so that more aircraft can be parked in the workshop. Second, the optimization objective is designed to minimize the number of aircraft movements by defining multiple maintenance capabilities of the stand. Finally, a solution based on spatiotemporal constraints is proposed in the solving process.

A set of MRO production data from Guangzhou is used as a test data set to demonstrate the effectiveness of the proposed MSS model.

The types of maintenance stands are defined and divided into four categories: fixed stand, temporary stand, half-body stand and engine ground test stand, which facilitates optimal modeling; a new scheduling model is designed considering both temporal constraints and spatial constraints, which can improve both the utilization of maintenance stand and safety (reduce the risk of scratching between aircraft).

The study aims to determine the the optimal value of output parameters of a variable compression ratio (CR) diesel engine are investigated at different loads, CR and fuel modes of operation experimentally. The output parameters of a variable compression ratio (CR) diesel engine are investigated at different loads, CR and fuel modes of operation experimentally. The performance parameters like brake thermal efficiency (BTE) and brake specific energy consumption (BSEC), whereas CO emission, HC emission, CO₂ emission, NO_x emission, exhaust gas temperature (EGT) and opacity are the emission parameters measured during the test. Tests are conducted for 2, 6 and 10 kg of load, 16.5 and 17.5 of CR.

In this investigation, the first engine was fueled with 100% diesel and 100% Calophyllum inophyllum oil in single-fuel mode. Then Calophyllum inophyllum oil with producer gas was fed to the engine. Calophyllum inophyllum oil offers lower BTE, CO and HC emissions, opacity and higher EGT, BSEC, CO₂ emission and NO_x emissions compared to diesel fuel in both fuel modes of operation observed. The performance optimization using the Taguchi approach is carried out to determine the optimal input parameters for maximum performance and minimum emissions for the test engine. The optimized value of the input parameters is then fed into the prediction techniques, such as the artificial neural network (ANN).

From multiple response optimization, the minimum emissions of 0.58% of CO, 42% of HC, 191 ppm NO_x and maximum BTE of 21.56% for 16.5 CR, 10 kg load and dual fuel mode of operation are determined. Based on generated errors, the ANN is also ranked for precision. The proposed ANN model provides better prediction with minimum experimental data sets. The values of the R² correlation coefficient are 1, 0.95552, 0.94367 and 0.97789 for training, validation, testing and all, respectively. The said biodiesel may be used as a substitute for conventional diesel fuel.

The blend of Calophyllum inophyllum oil-producer gas is used to run the diesel engine. Performance and emission analysis has been carried out, compared, optimized and validated.

This research aims to review relevant documentation on performance measurement in aircraft maintenance. The approaches and models used to measure and manage aircraft maintenance performance in civilian and military contexts are classified and examined during this process. Based on the results of this study, future directions and research topics are identified.

The review included an initial database of 200 publications published over the past 20 years. Published work included contributions from institutions, companies, and scholars.

The present literature review showed the distribution of themes related to measuring and improving of aviation maintenance performance. These areas and themes cover the perspectives of the customer, technicians and managers and range from the effective management of material resources, the contribution of mathematical models and the help of information systems, and finally, the involvement of the human factor. Thus, given this documentary base, a conceptual framework, which retraces the different operational and organizational facets of the evolution of maintenance performance management, is presented.

Based on the results obtained, the measurement of performance in aeronautical maintenance requires more research and the development of theoretical models.

Findings from this investigation have relevant implications for aircraft maintenance. In this context, it is essential to understand the different approaches to “performance measurement” and management used in airlines and maintenance centers.

Given the competitiveness of the aviation sector, it is important to understand the types and scope of different approaches and models used to manage and measure aeronautical maintenance performance in civilian and military operational contexts.

The expected learning outcomes are to understand the complexities involved in the integration of two carriers with different business strategies and approaches, the merger of two brands with distinct personas and identities and the confluence of two different cultures; figure out the strategic options in front of the Tata Group and how it can deal with various macro- and micro-level business challenges, defy the financial hiccups and manoeuvre the operational complexities to accomplish mission Vihaan.AI; and develop a pragmatic approach to macro and micro business environmental scanning for making strategic business decisions.

In November 2022, Tata Group, the salt to software conglomerate, announced the merger of Air India (AI) and Vistara. This would lead to the formation of the full-service airline under the brand name “Air India”. The obvious reason behind this was the higher recognition, salience and recall of the brand AI as compared with Vistara in the global market. The Tata Group envisaged the brand AI to be a significant international aviation player with the heritage, persona and ethos of the brand Vistara in the renewed manifestation of AI. To realise these goals, Tata Group laid down an ambitious plan called “Vihaan.AI”, which was aimed at capturing a domestic market share of 30% by 2027.

This case study can be taught as part of undergraduate- and postgraduate-level management programmes.

Teaching notes are available for educators only.

CSS 11: Strategy.

This study aims to show the complexities of engagement between students - Venezuelan and Brazilian - and their teachers. This qualitative ethnographic study documents the everyday pedagogies and practices that take place in elementary schools with high levels of refugee and immigrant children. While Brazilian law ensures the basic right to public education, forbidding discrimination based on nationality or immigration status (Lei de Diretrizes e Bases da Educação, 1996), the barriers remain. Through the frameworks of multicultural (USA) and intercultural (Brazil) education, this paper shows how Brazilian teachers and students of Venezuelan and Brazilian backgrounds engage, learn from one another and build welcoming spaces, but also how stereotypes are reinforced inside classrooms and schools.

This qualitative study uses ethnography to understand how recent Venezuelan migratory flow influences Brazilian and Venezuelan children’s educational experiences in elementary education. Participants were Venezuelan (N = 57) and Brazilian (N = 76) children in two elementary schools in the city of Boa Vista. Data sources for the study are school observations in four elementary classrooms (1st and 2nd grade) and semi-structured interviews with caregivers, teachers, administrators and other educators. This paper also collected children’s drawings and writings and documents like curricula, strategic planning, guidelines, policies, grades, reports and any other textual or photographic material made available at the city level.

In the field of education, there is a critical need for understanding children’s education experiences. This paper focuses on the experiences of teachers and students in two elementary schools in Brazil. This paper focus on two findings: first that teachers promote the learning of Portuguese to show care toward their Venezuelan students. Second, children in the classroom show solidarity with one another and resist some of the more rigid Portuguese-only practices enacted by teachers. This work uses the frameworks of intercultural (more commonly used in Brazil) and multicultural education to inform the analysis.

In this study, this paper puts these frameworks of interculturalism, multiculturalism, language use and solidarity into conversation to understand the dynamics of two elementary classrooms in the city of Boa Vista, Brazil. While this paper shows the shortcomings of a seemingly multicultural and multilanguage classroom, it also shows how children actively resist the rigidity of teaching and learning in elementary schooling.

This study is a response both to the increasing South–South migration trend in Latin America and its consequences on public education systems. Through multicultural and intercultural lenses, this research highlighted the complexity of interactions within multicultural classrooms by delving into a two-year ethnographic study conducted in Boa Vista, Brazil, focusing on Venezuelan and Brazilian children in two local elementary schools. This paper focused on two main observations this paper refers to as “Teaching Portuguese as a Way of Caring” and “Children's Solidarity Work.” Teachers primarily centered their instruction on teaching Portuguese to migrant children, believing it to lead to quicker integration in the classroom and beyond – thus as a way of caring for their migrant students.

This study aims to investigate the role of freight forwarding companies in detecting and reporting trade-based money laundering. The proximity of freight forwarding companies to shipping-related trade-based money laundering red flags places them in an ideal position to detect suspicious transactions.

The study used semi-structured interviews with expert participants in freight forwarding shipping and compliance aspects around freight forwarding. This study focuses on the South African context.

Freight forwarding companies are well-positioned to detect, investigate and report on trade-based money laundering schemes. However, the companies are not always aware of the guidelines designed to assist in identifying trade-based money laundering schemes. Thus, freight forwarding companies develop internal processes to identify trade anomalies but are often unable to link trade anomalies to illegal financial flows and trade-based money laundering schemes.

The current regulations on money laundering can be extended to freight forwarding companies by the respective regulators for enhanced anti-money laundering protection. This study is limited to freight forwarding companies in a South African context.

Increased awareness among staff in freight forwarding companies can assist them in identifying trade-based money laundering red flags to detect and prevent trade-based money laundering schemes.

This paper assists other role players and policymakers in the trade process to create a better awareness of trade-based money laundering. The limited obligations on freight forwarding companies to comply with anti-money laundering regulations lead to a more volunteer-like compliance practice.

To the best of the authors’ knowledge, this is the first paper that offers insight into the role of freight forwarding companies in detecting trade-based money laundering in South Africa.