The growing number of publications on Operating Room Scheduling (ORS) in recent years reflects the rapid advancements in the field. This review aims to comprehensively analyze the historical developments and evolving trends in operating room scheduling by systematically examining the literature from 2000 to 2023. A multi-database search, including Scopus, Web of Science, PubMed, ProQuest and IEEE Xplore was employed to ensure the inclusion of key studies. This paper presents a review of the factors, descriptive fields, and key issues in operating room scheduling. It also focuses on optimization techniques and solution approaches for both deterministic and uncertain conditions. Special attention is given to real-world constraints, such as resource limitations, staff availability and patient variability which significantly impact scheduling. The review identifies that ORS research covers a broad spectrum of problems and solutions, with no singular research trend dominating the field. This indicates that researchers are tackling diverse challenges across various contexts. The final section outlines the significant pitfalls and proposes future research directions, including the integration of emerging technologies and sustainability considerations. This review is a valuable resource for researchers, practitioners, and academicians in healthcare operations and hospital management, offering insights into current practices and future opportunities for innovation in ORS.

This study investigates the challenges in implementing blockchain technology (BT) in sustainable supply chain management (SSC). The study thoroughly analyzes the literature and expert opinions on BT, SCM, and sustainability. A total of 24 barriers are identified, categorized into the Internet of Things, strategic, supply chain, legislation, and external factors. The findings are evaluated using the Integrated Fuzzy TOPSIS–ISM tool. The results indicate that barriers related to the supply chain have the most significant impact on the adoption of BT in SSC. The study also reveals the interrelation among sub-barriers within the supply chain, providing valuable insights to improve adoption. Finally, a strategic action plan based on a fishbone diagram is provided to reduce the effects of supply chain barriers. This study provides a theoretical foundation for using BT to achieve long-term supply chain goals.

Green–lean supply chain management (GLSCM) refers to strategically adopting and coordinating environmentally sustainable practices and lean concepts in supply chain operations. A considerable set of factors needs to be identified to implement GLSCM successfully. This study examined the factors influencing green lean supply chain management implementation in the Readymade Garments Industries of Bangladesh through a literature review and discussions with field experts. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) approach is employed to analyze these factors to implement GLSCM effectively. This research identifies capacity utilization, green purchasing, and demand variation as the most influential factors in GLSCM, while quality improvement and the Kanban system are considered the least important factors. This study explored categorizing factors into the cause-and-effect group, the degree of interaction, and the interrelationship of the factors under consideration. The findings of this study may help managers develop an effective GLSCM system, hence increasing an organization’s total profitability.

This research explores the contribution of Blockchain Technology and Industry 5.0 in driving sustainability within Bangladeshi Ready-Made Garments (RMG) industry, with a focus on alignment with key Sustainable Development Goals (SDGs). The study employs Interpretive Structural Modeling (ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods to identify and analyze 14 critical synergies that can drive sustainability. The ISM analysis categorizes the synergies into independent, dependent, and linkage variables, providing insights into their roles and significance within the system. Fuzzy DEMATEL further refines this understanding by evaluating the direct and indirect relationships among the linkage synergies. Key findings reveal the importance of synergies such as reverse logistics and recycling, supply chain collaboration & visibility and ethical practices in driving sustainability. This research contributes by offering a detailed analysis of how the synergy between Blockchain technology and Industry 5.0 can enhance sustainability practices in the RMG industry, providing actionable insights into the technological transformation of supply chain dynamics in support of global sustainability targets.