{"title":"通过人工智能分析优化制造业供应链效率","authors":"","doi":"10.62304/ijmisds.v1i1.116","DOIUrl":null,"url":null,"abstract":"The integration of AI-powered analytics offers transformative potential in optimizing supply chains within the manufacturing sector. This study adopts a qualitative, case study methodology to explore the specific ways manufacturers utilize AI-powered solutions in areas such as demand forecasting, inventory management, logistics planning, and predictive maintenance. Findings indicate substantial gains in efficiency, cost savings, and improved supply chain resilience. Additionally, the study highlights how AI-driven optimizations lead to an enhanced customer experience through increased product availability, reduced lead times, and a more responsive supply chain. Through detailed analysis of real-world implementations, the study provides practical guidance for manufacturers seeking to leverage AI to transform their supply chain operations.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":"102 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OPTIMIZING SUPPLY CHAIN EFFICIENCY IN THE MANUFACTURING SECTOR THROUGH AI-POWERED ANALYTICS\",\"authors\":\"\",\"doi\":\"10.62304/ijmisds.v1i1.116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The integration of AI-powered analytics offers transformative potential in optimizing supply chains within the manufacturing sector. This study adopts a qualitative, case study methodology to explore the specific ways manufacturers utilize AI-powered solutions in areas such as demand forecasting, inventory management, logistics planning, and predictive maintenance. Findings indicate substantial gains in efficiency, cost savings, and improved supply chain resilience. Additionally, the study highlights how AI-driven optimizations lead to an enhanced customer experience through increased product availability, reduced lead times, and a more responsive supply chain. Through detailed analysis of real-world implementations, the study provides practical guidance for manufacturers seeking to leverage AI to transform their supply chain operations.\",\"PeriodicalId\":518594,\"journal\":{\"name\":\"Global Mainstream Journal\",\"volume\":\"102 10\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Mainstream Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.62304/ijmisds.v1i1.116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Mainstream Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62304/ijmisds.v1i1.116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OPTIMIZING SUPPLY CHAIN EFFICIENCY IN THE MANUFACTURING SECTOR THROUGH AI-POWERED ANALYTICS
The integration of AI-powered analytics offers transformative potential in optimizing supply chains within the manufacturing sector. This study adopts a qualitative, case study methodology to explore the specific ways manufacturers utilize AI-powered solutions in areas such as demand forecasting, inventory management, logistics planning, and predictive maintenance. Findings indicate substantial gains in efficiency, cost savings, and improved supply chain resilience. Additionally, the study highlights how AI-driven optimizations lead to an enhanced customer experience through increased product availability, reduced lead times, and a more responsive supply chain. Through detailed analysis of real-world implementations, the study provides practical guidance for manufacturers seeking to leverage AI to transform their supply chain operations.
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