Forecasting models in the manufacturing processes and operations management: Systematic literature review

• Author: Claudimar Pereira da Veiga,Wesley Vieira Silva,Adriano Mendonça Souza,Icaro Romolo Sousa Agostino
• Date: 01 November 2020
• DOI: http://doi.org/10.1002/for.2674
• Published date: 01 November 2020

RESEARCH ARTICLE

Forecasting models in the manufacturing processes and

operations management: Systematic literature review

Icaro Romolo Sousa Agostino

1

| Wesley Vieira da Silva

2

|

Claudimar Pereira da Veiga

3

| Adriano Mendonça Souza

2

1

Production Engineering Department,

Federal University of Santa Catarina,

Florianópolis, SC, Brazil

2

Statistics Department, Federal University

of Santa Maria, Santa Maria, RS, Brazil

3

Postgraduate Program in Organizations

Management, Leadership and Decision

(PPGOLD), Federal University of Paraná,

Curitiba, PR, Brazil

Correspondence

Claudimar Pereira da Veiga, Postgraduate

Program in Organizations Management,

Leadership and Decision (PPGOLD),

Federal University of Paraná,

632 Lothário Meissner Ave., Jardim

Botânico, 80210-170, Curitiba. PR, Brazil.

Email: claudimar.veiga@gmail.com

Abstract

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 oper-

ations 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 char-

acterization of the field of study through the identification of publication vehi-

cles, 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 appli-

cation contexts, identifying the current research directions to provide theoreti-

cal aids for the development of new approaches to forecasting in industry. The

results of this study provide an empirical base for further discussions on stud-

ies that focus on forecasting in the industrial context.

KEYWORDS

forecasting models, industry, manufacturing, operations management, semantic literature

review

1|INTRODUCTION

Given their particular importance to the industrial con-

text, especially manufacturing processes and operations

management, the recent attention paid to forecasting

models is not surprising. There are specific journals

(e.g., Journal of Forecasting,International Journal of

Forecasting, and International Journal of Production

Research, as well as special editions that have recently

focused on forecasting. See, for instance, Technological

Forecasting and Social Change—Forecasting Technical

Emergence (2018), International Journal of Forecasting—

Food and Agriculture Forecasting (2019), and Informa-

tion Processing and Management—Social Media Market-

ing and Financial Forecasting (2019). In the literature,

it has been firmly established that there is a need for

further studies on forecasting models. Demand forecast-

ing aids strategic production planning in an industry, as

it allows managers to anticipate the future and plan

joint activities with the functional areas (Veiga, Veiga,

Puchalski, Coelho, & Tortato, 2016). Forecasting

provides the best evaluation of available information.

Received: 2 October 2019 Accepted: 12 January 2020

DOI: 10.1002/for.2674

Journal of Forecasting. 2020;39:1043–1056. wileyonlinelibrary.com/journal/for © 2020 John Wiley & Sons, Ltd. 1043