Impact of 5S Method in Apparel IndustryThis paper explores the 5S management concept, its advantages and the framework required to implement the system in the Apparel Industry. The 5S method is a Japanese system that involves workplace management improvements. It further analyses the effect of the 5S method in the apparel & textile industry as a case study and how its implementation directly impacts saving time and costs. 5S process helps to eliminate waste, reduce defects, and help in improving the productivity of the business. Further, reducing clutter and junk at the workplace is hygienic and ergonomic. This research paper identifies how the 5S method is implemented in the Apparel industry and how it has helped the industry improve its waste reduction targets, profitability, and productivity. The apparel industry uses the 5S to dispose of the wastage and use the factory production layout to smooth working, wastages are cleared, and regularly maintained space. This would help minimize handling time, moving part used in apparel from one process to another quickly, and final apparel can be stitched and packed in a faster time process. This will improve the business’s profitability and enhance its competitiveness in the local and international market sectors.
Artificial Intelligence in Logistics and Supply Chain Management: A Perspective on Research Trends and ChallengesIndustry 4.0 technology is a new vision towards digital transformation of logistics, manufacturing, supply chain and related industries processes. It aims to increase automation and improve communication, self-monitoring, and develop a data-driven, fully connected supply chain ecosystem. In this context, Supply Chain Management (SCM) with the advantage of Artificial Intelligence (AI) technology have gain significant attention. It is considered one of the advanced solutions in improving the information quality, making better decisions, and solving practical problems related to SCM. Several research works have been conducted in this area; however, few studies have examined the research trends and challenges of AI applications in logistics and supply chain management. The major contribution of this study is to develop a conceptual overview of the fields where AI integrates with supply chain management in order to promote further research and development provides valuable insight for logistics/supply chain managers.