Identifying the promising production planning and scheduling method for manufacturing in Industry 4.0: a literature review

IF 1.9 Q3 ENGINEERING, INDUSTRIAL

Production and Manufacturing Research Pub Date : 2023-11-08 DOI:10.1080/21693277.2023.2279329

Chen Chen, Tiong Lee Kong, Wu Kan

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.

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工业4.0时代制造业生产计划和调度方法的研究:文献综述

工业4.0技术创造了一个互联的生态系统，可以实现实时监控、控制和优化。这使制造业能够将其业务的最终目标从精益转移到敏捷。然后，为了满足敏捷制造的需求，需要一个集成的生产计划与调度系统。学术界以论文数量的增长来回应这一需求。已经提出了许多方法学、模型、框架和方法。对它们进行分类的文献很多，但主要是关于它们对工业4.0的适用性，尚无定论。在这方面，本文进行了文献综述，旨在展示最先进的技术，并在众多工业4.0中发现最有前途的生产计划和调度方法。最后，在本研究的基础上，对未来可能的研究方向提出了建议，并对面向工业4.0的下一代生产计划调度系统的设计提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Production and Manufacturing Research Engineering-Industrial and Manufacturing Engineering

CiteScore

5.60

自引率

4.90%

发文量

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.