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Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review
Journal of Industrial Information Integration ( IF 10.4 ) Pub Date : 2021-10-06 , DOI: 10.1016/j.jii.2021.100287
Eduardo Guzman 1 , Beatriz Andres 1 , Raul Poler 1
Affiliation  

Production planning, scheduling and sequencing comprise the core of the manufacturing companies’ performance. The new and changing market demands make manufacturing a challenge because companies must produce by using the minimum possible number of resources to provide high-quality products and to respond quickly to market demands. Thus the need for efficient production planning, scheduling and sequencing has become a very important research area for companies and researchers in recent decades. We evaluated the current state of such research with a holistic framework that comprised the plans aggregation and disaggregation levels, the modelling approaches to represent the different types of plans and their characteristics, the solution approaches with the adopted algorithms, the application areas, the intra- and inter-enterprise levels of integration, the sizes of the datasets used to validate the models and algorithms, the development tools, and the quality of the solutions obtained in relation to the problems’ data size. The systematic literature review is arranged within the framework and grouped around different types of plans, including production planning, scheduling and sequencing, and their combinations. Finally, some gaps in the related research are identified and future research opportunities are proposed.



中文翻译:

生产计划、调度和排序问题的模型和算法:整体框架和系统回顾

生产计划、调度和排序构成了制造公司绩效的核心。新的和不断变化的市场需求使制造成为一项挑战,因为公司必须使用尽可能少的资源进行生产,以提供高质量的产品并快速响应市场需求。因此,近几十年来,对高效生产计划、调度和排序的需求已成为公司和研究人员的一个非常重要的研究领域。我们用一个整体框架评估了此类研究的现状,该框架包括计划聚合和分解级别、表示不同类型计划及其特征的建模方法、采用算法的解决方法、应用领域、企业内部和企业间的集成水平、用于验证模型和算法的数据集大小、开发工具以及与问题数据大小相关的解决方案的质量。系统的文献综述在框架内安排,并围绕不同类型的计划分组,包括生产计划、调度和排序,以及它们的组合。最后,找出了相关研究中的一些差距,并提出了未来的研究机会。调度和排序,以及它们的组合。最后,找出了相关研究中的一些差距,并提出了未来的研究机会。调度和排序,以及它们的组合。最后,找出了相关研究中的一些差距,并提出了未来的研究机会。

更新日期:2021-10-06
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