The systematic literature review is a basic scientific procedure that enables researchers to see the "lay of the land" in a field. The value of this systematic literature review resides in providing a clear and thorough assessment of the currently available data. Identify any questions that have clear answers based on the evidence and for which further study is not required. As a result, authors can enhance their understanding of the topic of interest, create new research questions, and acquire critical abilities for synthesizing current literature. In a systematic review, research findings are found, assessed, and synthesized to provide a current evidence summary that can support evidence-based practice. This paper used systematic literature to identify the application of artificial intelligence technology in supply chain management. The data was collected from three databases, and several research, inclusion, and exclusion criteria were applied in searching. The inclusion and exclusion criteria were applied to answer the research questions, which sought to identify the supply chain processes that applied artificial intelligence technology and which Artificial intelligence technologies were most commonly used. After applying the search criteria, the review's result indicates that forecasting is one of the most common supply chain processes using AI, and the most common technology used in forecasting is machine learning.

Supply chain is a very extensive field that is growing day by day. With innovation and development in technology, it is evident that supply chain is also experiencing progress. It is being witnessed that the fashion world especially in terms of clothing has changed a lot over the years. Fast fashion is being promoted throughout the world leading to a lack of consciousness in terms of quality and even sustainability. The aim of the research is to identify the defects done in the textile industry and how it affects the environment, society and governance of the organizations undertaken for the study (H&M and Nafisa Shams) in addition to using total quality management to support this process. The main problem of this research is to understand the kind of raw materials (cotton) that H&M and Nafisa Shams provide and how this characterizes their qualities. Organic cotton is high-quality, but it is more expensive which is used by Nafisa Shams while the conventional cotton is less expensive, and its quality is maintained by using chemicals, however they are easily to get defects during and/or after manufacturing used by H&M. The methodology used in this research is quantitative in nature. The tools used for this research are a survey questionnaire and a DMAIC model to help analyze the current scenario. The results of the research showed that the quality of the clothes in the fashion world also defines the rate of sustainability in the organizations as well.

Healthcare supply chain has increasingly attracted the attention of scholars, researchers, government officials, and clinicians as one of the primary strategies in their efforts to reduce healthcare costs while improving quality. Supply chain management is the coordination and collaboration of supply chain participants as a means to achieve system efficiency. The healthcare supply chain is one of these complex systems, with numerous players involved. This study is designed to answer the following questions: How significant is supply chain management to the healthcare sector? Are hospitals in Saudi Arabia properly implementing supply chain principles, techniques, and tools? The theories addressed contribute to a better understanding of supply chain management in hospitals. A case study was conducted at the International Medical Center in Jeddah to understand exactly how hospitals in Saudi Arabia are implementing supply chain management.