Qinglin Gao , Jianhua Liu , Shimin Liu , Cunbo Zhuang
{"title":"从以人为本到以人为中心:工业5.0下车间调度问题述评","authors":"Qinglin Gao , Jianhua Liu , Shimin Liu , Cunbo Zhuang","doi":"10.1016/j.jmsy.2025.07.003","DOIUrl":null,"url":null,"abstract":"<div><div>The emergence of Industry 5.0 marks a paradigmatic shift in manufacturing, emphasizing human-centricity, sustainability, and resilience. This transformation redefines the central role of humans within industrial ecosystems. As a key enabler of intelligent manufacturing, shop floor scheduling plays a pivotal role in optimizing production efficiency, resource allocation, and production flexibility. This study reviews research from 2014 to 2024 on shop floor scheduling addressing dual-resource constraints, worker assignment, and human–machine collaboration, analyzing their contributions across problem modeling, optimization objectives, and human factor integration. Our analysis reveals an insufficient incorporation of human-centric considerations within the current scheduling framework from the Industry 5.0 perspective. To address this gap, we propose the concept of human-centric shop floor scheduling (HCSFS) and identify four characteristics: efficiency-human (E-H) first; dynamics and uncertainty; data-intensive systems; and interdisciplinary synergy. We further highlight three major challenges for HCSFS: managing multi-objective trade-offs, redefining scheduling problem models, and embedding techno-ethical integration. Finally, future directions are discussed to advance HCSFS in the context of Industry 5.0.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"82 ","pages":"Pages 531-546"},"PeriodicalIF":14.2000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From human-related to human-centric: A review of shop floor scheduling problem under Industry 5.0\",\"authors\":\"Qinglin Gao , Jianhua Liu , Shimin Liu , Cunbo Zhuang\",\"doi\":\"10.1016/j.jmsy.2025.07.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The emergence of Industry 5.0 marks a paradigmatic shift in manufacturing, emphasizing human-centricity, sustainability, and resilience. This transformation redefines the central role of humans within industrial ecosystems. As a key enabler of intelligent manufacturing, shop floor scheduling plays a pivotal role in optimizing production efficiency, resource allocation, and production flexibility. This study reviews research from 2014 to 2024 on shop floor scheduling addressing dual-resource constraints, worker assignment, and human–machine collaboration, analyzing their contributions across problem modeling, optimization objectives, and human factor integration. Our analysis reveals an insufficient incorporation of human-centric considerations within the current scheduling framework from the Industry 5.0 perspective. To address this gap, we propose the concept of human-centric shop floor scheduling (HCSFS) and identify four characteristics: efficiency-human (E-H) first; dynamics and uncertainty; data-intensive systems; and interdisciplinary synergy. We further highlight three major challenges for HCSFS: managing multi-objective trade-offs, redefining scheduling problem models, and embedding techno-ethical integration. Finally, future directions are discussed to advance HCSFS in the context of Industry 5.0.</div></div>\",\"PeriodicalId\":16227,\"journal\":{\"name\":\"Journal of Manufacturing Systems\",\"volume\":\"82 \",\"pages\":\"Pages 531-546\"},\"PeriodicalIF\":14.2000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0278612525001785\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278612525001785","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
From human-related to human-centric: A review of shop floor scheduling problem under Industry 5.0
The emergence of Industry 5.0 marks a paradigmatic shift in manufacturing, emphasizing human-centricity, sustainability, and resilience. This transformation redefines the central role of humans within industrial ecosystems. As a key enabler of intelligent manufacturing, shop floor scheduling plays a pivotal role in optimizing production efficiency, resource allocation, and production flexibility. This study reviews research from 2014 to 2024 on shop floor scheduling addressing dual-resource constraints, worker assignment, and human–machine collaboration, analyzing their contributions across problem modeling, optimization objectives, and human factor integration. Our analysis reveals an insufficient incorporation of human-centric considerations within the current scheduling framework from the Industry 5.0 perspective. To address this gap, we propose the concept of human-centric shop floor scheduling (HCSFS) and identify four characteristics: efficiency-human (E-H) first; dynamics and uncertainty; data-intensive systems; and interdisciplinary synergy. We further highlight three major challenges for HCSFS: managing multi-objective trade-offs, redefining scheduling problem models, and embedding techno-ethical integration. Finally, future directions are discussed to advance HCSFS in the context of Industry 5.0.
期刊介绍:
The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs.
With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.