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Forecasting models in the manufacturing processes and operations management: systematic literature review
Journal of Forecasting ( IF 2.627 ) Pub Date : 2020-03-05 , DOI: 10.1002/for.2674
Icaro Romolo Sousa Agostino 1 , Wesley Vieira Silva 2 , Claudimar Pereira da Veiga 3 , Adriano Mendonça Souza 2
Affiliation  

The purpose of this paper is to present the result of a systematic literature review regarding the application and development of forecasting models in the industrial context, especially the context of manufacturing processes and operations management. The study was conducted considering the preparation of an established research protocol to know, discuss, and analyze the main approaches adopted by researchers in the field. To achieve this objective, we analyzed 354 recent papers published in periodicals between 2008 and 2018. This paper makes three main contributions to the field: (i) it presents an updated portfolio of prediction models in the industrial context, providing a reference point for researchers and industrial managers; (ii) it presents a characterization of the field of study through the identification of publication vehicles, frequency, and the principal authors and countries related to the development of research on the theme; (iii) it proposes a unified framework, listing the characteristics of the prediction models with their respective application contexts, identifying the current research directions to provide theoretical aids for the development of new approaches to forecasting in industry. The results of this study provide an empirical base for further discussions on studies that focus on forecasting in the industrial context.

中文翻译:

制造过程和运营管理中的预测模型:系统文献综述

本文的目的是展示有关预测模型在工业环境中的应用和开发的系统文献综述的结果,特别是在制造过程和运营管理的环境中。该研究的进行考虑了制定既定的研究方案,以了解、讨论和分析该领域研究人员采用的主要方法。为实现这一目标,我们分析了 2008 年至 2018 年期间发表在期刊上的 354 篇近期论文。本文对该领域做出了三个主要贡献:(i) 它提出了工业背景下更新的预测模型组合,为研究人员提供了参考点和工业经理;(ii) 它通过确定出版载体来描述研究领域的特征,频率、主要作者和与主题研究发展相关的国家;(iii) 提出了一个统一的框架,列出了预测模型的特点及其各自的应用背景,确定了当前的研究方向,为工业预测新方法的发展提供理论帮助。本研究的结果为进一步讨论侧重于工业背景下的预测的研究提供了经验基础。确定当前的研究方向,为开发新的工业预测方法提供理论帮助。本研究的结果为进一步讨论侧重于工业背景下的预测的研究提供了经验基础。确定当前的研究方向,为开发新的工业预测方法提供理论帮助。本研究的结果为进一步讨论侧重于工业背景下的预测的研究提供了经验基础。
更新日期:2020-03-05
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