{"title":"Identifying the promising production planning and scheduling method for manufacturing in Industry 4.0: a literature review","authors":"Chen Chen, Tiong Lee Kong, Wu Kan","doi":"10.1080/21693277.2023.2279329","DOIUrl":null,"url":null,"abstract":"Industry 4.0 technologies create a connected ecosystem that allows for real-time monitoring, control, and optimization. This enables the manufacturing industry to move the ultimate goal of their businesses from lean to leagile. Then, to meet the needs of leagile manufacturing, an integrated production planning and scheduling system is needed. The academic world responds to the need by the growth of papers. Many methodologies, models, frameworks, and methods have been proposed. Literature abounds on classifying them, yet it remains inconclusive mainly on their applicability to Industry 4.0. In this regard, this paper conducts a literature review aiming to show the state of the art and discover the most promising production planning and scheduling method for Industry 4.0 among the many. Lastly, on the basis of this study, recommendations on possible future research directions are provided for researchers, and the design of the next-generation production planning and scheduling system for Industry 4.0 is also suggested.","PeriodicalId":37891,"journal":{"name":"Production and Manufacturing Research","volume":"108 8‐10","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production and Manufacturing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21693277.2023.2279329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Industry 4.0 technologies create a connected ecosystem that allows for real-time monitoring, control, and optimization. This enables the manufacturing industry to move the ultimate goal of their businesses from lean to leagile. Then, to meet the needs of leagile manufacturing, an integrated production planning and scheduling system is needed. The academic world responds to the need by the growth of papers. Many methodologies, models, frameworks, and methods have been proposed. Literature abounds on classifying them, yet it remains inconclusive mainly on their applicability to Industry 4.0. In this regard, this paper conducts a literature review aiming to show the state of the art and discover the most promising production planning and scheduling method for Industry 4.0 among the many. Lastly, on the basis of this study, recommendations on possible future research directions are provided for researchers, and the design of the next-generation production planning and scheduling system for Industry 4.0 is also suggested.
期刊介绍:
Production & Manufacturing Research: An Open Access Journal provides a high-quality platform for academics, researchers, and industrial practitioners working on production and manufacturing research topics to publish their work globally under a fully open access model. The journal ensures that every article undergoes a rigorous but rapid peer review process by a team of experts who share the cross-disciplinary scope of the publication. The intent is to foster innovation, debate and collaboration across the field whilst maintaining a defined and relevant audience for the topics and findings reported. The journal encourages the submission of original articles, reviews, short communications and case studies in all areas of manufacturing engineering and technology, operations research and management, supply chain performance management, lean manufacturing, production systems and automation, quality control, logistics, research methodologies, manufacturing strategy, sustainable engineering, project management & scheduling and cross-disciplinary research between these fields.