https://so16.tci-thaijo.org/index.php/jssmr/issue/feedJournal of Social Science and Multidisciplinary Research (JSSMR)2024-08-21T21:13:08+07:00Journal of Social Science and Multidisciplinary Research (JSSMR)jssmr21@gmail.comOpen Journal Systems<p>The Journal of Social Science and Multidisciplinary Research (JSSMR) is a dynamic and comprehensive scholarly publication committed to advancing interdisciplinary knowledge and fostering positive societal change. With a publication frequency of six issues per year, the journal spans a wide spectrum of social science disciplines, promoting a holistic understanding of complex societal issues.</p> <p>Encompassing fields such as anthropology, business administration, criminology, education, law, management, public administration, political science, sociology, and multidisciplinary studies, JSSMR serves as a platform for cutting-edge research and collaboration. The journal's diverse scope reflects its dedication to addressing multifaceted challenges through the integration of insights from various disciplines.</p> <p>Each annual volume is divided into six issues, covering two months each, starting from January-February and concluding with November-December. This regular publishing schedule provides a consistent flow of high-quality research output to the academic community and beyond.</p> <p>JSSMR stands out as a conduit for scholars and researchers to contribute to the advancement of knowledge in social sciences. By encouraging contributions that bridge disciplinary boundaries, the journal aims to foster a deeper understanding of human behavior, societal dynamics, and the intricate relationships that shape our world.</p>https://so16.tci-thaijo.org/index.php/jssmr/article/view/745AI-Driven Optimization Techniques in Warehouse Operations: Inventory, Space, and Workflow Management2024-08-17T12:47:33+07:00WISIT MANAVIRIYAPHAPwisit.tho@gmail.com<p>In today's fast-paced and competitive market, efficient warehouse operations are crucial for maintaining a seamless supply chain. This article explores the transformative role of AI-driven optimization techniques in enhancing warehouse operations. AI technologies have revolutionized inventory management by accurately predicting demand, optimizing stock levels, and reducing both stockouts and overstock situations. Space utilization, another critical aspect, is improved through AI-powered solutions that dynamically allocate and manage storage areas, maximizing space efficiency. Workflow management benefits significantly from AI, with advanced algorithms optimizing picking routes, automating sorting and packing processes, and effectively managing labor allocation. The integration of robotic process automation (RPA) further streamlines operations, reducing manual labor and increasing overall productivity. This review provides a comprehensive analysis of the leading AI tools and software, comparing their features and integration capabilities with existing warehouse management systems. Through case studies and real-world applications, the article highlights the tangible benefits and efficiency gains achieved by adopting AI technologies. It also discusses emerging trends and future innovations, underscoring the ongoing evolution and potential of AI in warehouse management.</p>2024-08-21T00:00:00+07:00Copyright (c) 2024 Journal of Social Science and Multidisciplinary Research (JSSMR)