{"title":"全面实现管理:原则、实践和用例","authors":"Eric Ka Ho Leung","doi":"10.1016/j.tre.2024.103888","DOIUrl":null,"url":null,"abstract":"This study presents a novel framework called Total Fulfillment Management (TFM), which integrates inbound warehousing and outbound transportation operations into a unified system. TFM draws inspiration from the time-tested philosophies of Total Quality Management and Just-In-Time production, adapting these principles to the modern logistics context. This paper introduces the Fulfillment Synchronization Strategy (FSS) as the operational core of TFM, designed to optimize internal and external resources and improve operational efficiency through real-time data-driven, synchronized decision-making. Within the FSS, a total of nine synchronization practices are defined. Through the integration of emerging technologies like AI, machine learning, IoT, and blockchain, TFM offers a holistic system approach for businesses seeking to enhance their fulfillment operations. Key research avenues and use cases highlight the potential impact of TFM on the evolving logistics landscape.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"28 1","pages":""},"PeriodicalIF":8.3000,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Total fulfillment management: principles, practices and use cases\",\"authors\":\"Eric Ka Ho Leung\",\"doi\":\"10.1016/j.tre.2024.103888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents a novel framework called Total Fulfillment Management (TFM), which integrates inbound warehousing and outbound transportation operations into a unified system. TFM draws inspiration from the time-tested philosophies of Total Quality Management and Just-In-Time production, adapting these principles to the modern logistics context. This paper introduces the Fulfillment Synchronization Strategy (FSS) as the operational core of TFM, designed to optimize internal and external resources and improve operational efficiency through real-time data-driven, synchronized decision-making. Within the FSS, a total of nine synchronization practices are defined. Through the integration of emerging technologies like AI, machine learning, IoT, and blockchain, TFM offers a holistic system approach for businesses seeking to enhance their fulfillment operations. Key research avenues and use cases highlight the potential impact of TFM on the evolving logistics landscape.\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2024-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part E-Logistics and Transportation Review\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.tre.2024.103888\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.tre.2024.103888","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Total fulfillment management: principles, practices and use cases
This study presents a novel framework called Total Fulfillment Management (TFM), which integrates inbound warehousing and outbound transportation operations into a unified system. TFM draws inspiration from the time-tested philosophies of Total Quality Management and Just-In-Time production, adapting these principles to the modern logistics context. This paper introduces the Fulfillment Synchronization Strategy (FSS) as the operational core of TFM, designed to optimize internal and external resources and improve operational efficiency through real-time data-driven, synchronized decision-making. Within the FSS, a total of nine synchronization practices are defined. Through the integration of emerging technologies like AI, machine learning, IoT, and blockchain, TFM offers a holistic system approach for businesses seeking to enhance their fulfillment operations. Key research avenues and use cases highlight the potential impact of TFM on the evolving logistics landscape.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.