SACM - United Kingdom
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667
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Item Restricted Large-System Transformation in Healthcare and the Roles of Senior Leaders: A Case Study from Saudi Arabia(University of Manchester, 2024) Bawhab, Omar; Nelson, Adrian; Coleman, Anna; Mahon, AnnThe implementation of large-system transformation in healthcare is complex and multi-faceted, requiring effective leadership at all levels, particularly from senior leaders. However, there is limited conceptual clarity around large-system transformations in healthcare and the roles senior leaders play in driving such transformations, especially in a non-Western context. This thesis addresses these knowledge gaps by exploring senior leaders' perceptions of large-system transformation and their role in its implementation in Saudi Arabia. Using a qualitative single case study design, this research gathered insights from 22 senior leaders at national and regional levels of the Saudi healthcare system through semi-structured interviews. The study employed an inductive-deductive thematic analysis approach, guided by the Health System Dynamics Framework, sensemaking theory, and systems leadership perspectives. Two conceptual frameworks were developed: one delineating ten key components of large-system transformation in healthcare, and another outlining seven critical roles of senior leaders during such transformations, six categories of enablers, and eight types of challenges. The large-system transformation framework highlights the interconnected nature of contextual triggers, climate for change, vision, leadership, governance, actors, resources, processes, social forces (e.g., resistance to change), and information flow. The senior leaders’ roles, enablers, and challenges framework emphasizes leaders' responsibilities in creating a climate for change, communicating and learning, managing resources, engaging stakeholders, setting strategic direction, managing social dynamics, and developing key leadership attributes. The framework also indicates multiple enablers and challenges relevant to the roles of senior leaders, providing a nuanced understanding of the complexities involved in healthcare system transformations. This research contributes to the theoretical understanding of large-system transformation in healthcare and senior leaders' roles, enablers, and challenges, particularly in a non-Western context. It offers practical implications for healthcare leaders and policymakers engaged in system-wide transformations. Future research directions are suggested to further validate and expand upon these findings.14 0Item Restricted Large-System Transformation in Healthcare and the Roles of Senior Leaders: A Case Study from Saudi Arabia(University of Manchester, 2024) Bawhab, Omar; Nelson, Adrian; Coleman, Anna; Mahon, AnnThe implementation of large-system transformation in healthcare is complex and multi-faceted, requiring effective leadership at all levels, particularly from senior leaders. However, there is limited conceptual clarity around large-system transformations in healthcare and the roles senior leaders play in driving such transformations, especially in a non-Western context. This thesis addresses these knowledge gaps by exploring senior leaders' perceptions of large-system transformation and their role in its implementation in Saudi Arabia. Using a qualitative single case study design, this research gathered insights from 22 senior leaders at national and regional levels of the Saudi healthcare system through semi-structured interviews. The study employed an inductive-deductive thematic analysis approach, guided by the Health System Dynamics Framework, sensemaking theory, and systems leadership perspectives. Two conceptual frameworks were developed: one delineating ten key components of large-system transformation in healthcare, and another outlining seven critical roles of senior leaders during such transformations, six categories of enablers, and eight types of challenges. The large-system transformation framework highlights the interconnected nature of contextual triggers, climate for change, vision, leadership, governance, actors, resources, processes, social forces (e.g., resistance to change), and information flow. The senior leaders’ roles, enablers, and challenges framework emphasizes leaders' responsibilities in creating a climate for change, communicating and learning, managing resources, engaging stakeholders, setting strategic direction, managing social dynamics, and developing key leadership attributes. The framework also indicates multiple enablers and challenges relevant to the roles of senior leaders, providing a nuanced understanding of the complexities involved in healthcare system transformations. This research contributes to the theoretical understanding of large-system transformation in healthcare and senior leaders' roles, enablers, and challenges, particularly in a non-Western context. It offers practical implications for healthcare leaders and policymakers engaged in system-wide transformations. Future research directions are suggested to further validate and expand upon these findings.9 0Item Restricted Challenges in Estimating the Remaining Useful Life of a Military Aircraft Engine During Scheduled Maintenance Activities(Cranfield University, 2024) Alqahtani, Naif; Khan, MuhammadThis thesis investigates the challenges in estimating the Remaining Useful Life (RUL) of military aircraft engines, within the framework of scheduled maintenance activities. The study identifies significant gaps in existing research, such as the lack of consideration for system interdependencies, the impact of scheduled maintenance activities on RUL estimation, and the impact of fluctuating operational conditions. To address these challenges, a tool was developed to enhance the accuracy of RUL predictions by integrating the effects of maintenance activities and the complex relationships between engine systems. This tool is designed to assist asset managers and maintenance engineers in optimising maintenance schedules, enhancing the accuracy of RUL estimation, and improving the overall reliability and safety of military aircraft engines. The findings contribute to advancing preventive maintenance strategies in the aerospace industry, offering practical solutions for more accurate RUL estimation and laying the foundation for future research in this critical field.19 0Item Restricted Towards Intelligent Self-Reconfiguration of Manufacturing Systems(Cranfield University, 2024) Alotaibi, Mohammed; Patsavella, John; Syed, Jelena MilisavljevicGlobal market demand is undergoing significant and rapid changes, creating an unprecedented challenge for conventional manufacturing systems such as mass production. As the demand for highly customized products surges, these traditional methods struggle to handle the dynamic market demands. However, a promising solution may lie in Reconfigurable Manufacturing Systems (RMS), developed in the late 1990s. RMS have the potential to address the current demand fluctuations effectively. Despite their promise, many manufacturers worldwide encountered challenges when attempting to adopt the concept of Reconfigurable Manufacturing Systems, particularly concerning the integration and modularity aspects. This research’s goal is to close this gap by providing a comprehensive framework that addresses these challenges and elevates the effectiveness of RMS to new heights. Extensive data were collected from relevant literature and expert interviews to develop the framework. Utilizing the collected data, a conceptual framework was formulated, serving as a blueprint to overcome the identified issues and enhance the performance of RMS. To ensure the validity and practicality of the proposed framework, a second round of interviews was conducted, seeking validation from industry experts. By offering a robust and validated framework, this research seeks to contribute to the manufacturing landscape by empowering industries to embrace Reconfigurable Manufacturing Systems confidently. This transformation has the potential to unlock unparalleled flexibility and responsiveness, enabling manufacturers to meet the ever-changing demands of the global market efficiently. As a result, this paper lays the foundation for a more adaptive and competitive manufacturing ecosystem for the future.17 0Item Restricted Developing Operational Health Diagnostics System for Manufacturing Organizations(Saudi Digital Library, 2023-08) Alaskar, Omar; Shararah, MohamedThe research aimed to address the operational performance and health of manufacturing systems, with the goal of bridging existing gaps and offering a comprehensive solution that is specifically designed for the current difficulties faced in the manufacturing industry. The study presents a novel Operational Health Diagnostics System that aims to enhance diagnostic capabilities in the manufacturing sector. A thorough analysis of the literature was done to develop the framework, analysing the shortcomings of the existing diagnostic methods. The development of the new framework was based on three fundamental pillars, namely Operations Strategy, Technical System, and Supply Chain Relationships. In order to validate its effectiveness and relevance, the framework underwent a comprehensive qualitative testing process, involving the active participation of industry professionals, operational managers, and academics. The input provided by these stakeholders was crucial in the process of improving and enhancing the system. A comparative assessment was also undertaken, comparing the created approach with established diagnostic frameworks. The Operational Health Diagnostics System demonstrated notable progress by integrating key elements from current frameworks and delivering comprehensive diagnostic capabilities. Nevertheless, it is important to acknowledge that there were specific challenges encountered, such as the need for sufficient resources and limitations in data benchmarking. In summary, this research presents a unique diagnostic framework that has the potential to improve operational diagnostics in the field of manufacturing. The framework shows a comprehensive range of characteristics, while also providing opportunities for additional improvements and research, hence stimulating ongoing progress in the field.29 0Item Restricted Using BIM in the Design Phase for Construction Waste Minimisation (CWM): A Systematic Review(Saudi Digital Library, 2023) Alshiddi, Yazeed A.; Jaradat, SuhaConstruction activities generate significant amounts of waste and carbon emissions, prompting extensive research into construction waste sources and management strategies. Recently, Building Information Modelling (BIM) tools have emerged to be effective for construction waste minimisation (CWM). Within the architecture, engineering, and construction (AEC) industries, there is a consensus that cutting waste at the source, particularly during the design stage, is the most effective CWM strategy. However, utilising BIM during the design stage for CWM remains under researched. This dissertation aims to identify strategies to minimise waste through a framework of using BIM during design stages. A systematic literature review of 39 rigorously selected papers on BIM for CWM sourced from Scopus, ProQuest, and Google Scholar finds that the most significant waste sources are design changes, design errors, and poor collaboration. Also, CWM strategies using BIM are categorised into: (1) digital tools; (2) processes, workflows, and frameworks; and (3) recommendations. This research synthesises these solutions into a BIM-CWM framework and recommendations for designing out waste. The impact of the study is to provide an evidence-backed framework for designers to reduce waste through design, and to extend BIM for CWM research for researchers by building on previous studies.20 0