Abstract

Smart factory is a fully-integrated of firm’s facilities (i.e., sensors, smart machines, and robots) and information system architecture (i.e., IoT, ICT, and cloud computing) to enable high degree of automation in manufacturing processes. IT knowledge capability is the IT knowledge organization that how employees understand IT knowledge in different dimensions, i.e., general management, product design, production planning, data analysis, information security, and automation system. Since the system of smart factory depends on the massive of data collecting (big data) and the firm’s advance analyzing approach (analytics). The big data in manufacturing include the data from production planning, quality control, procurement, inventory control, human resource management (HRM), and delivery. The purpose of this study is to examine the role of IT knowledge capability and big data and analytics on the degree of smart factory. Survey data from 141 Thai manufacturing firms from the list of the ministry of industry and industrial zones were collected during March–April 2019. The multiple regression result shows that both IT knowledge capability and big data and analytics have a positive impact on the degree of smart factory. In addition, we use a firm’s age and firm’s size (based on the number of employees and total asset) as control variables. The results show that firm’s size have a positive effect on hypothesis model.

Highlights

  • The revolution of Industry 4.0 is the extension of advance technologies to connect manufacturing production systems due to the integration of machines, information communication technology (ICT), internet of things (IoT), and cloud computing in Cyber-physical systems (CPS) [1,2]

  • This study considers big data and analytics as the effectiveness level of ICT data accumulated, ICT information sharing, and implementation to assist the automation processes

  • This research aims to explore the role of IT knowledge capability and big data and analytics on the degree of smart factory

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Summary

Introduction

The revolution of Industry 4.0 is the extension of advance technologies to connect manufacturing production systems due to the integration of machines, information communication technology (ICT), internet of things (IoT), and cloud computing in Cyber-physical systems (CPS) [1,2]. CPS enables real-time-capable to connect people and machine along a horizontal and vertical manufacturing processes [3]. Advance technologies aim to improve the production systems to produce customization products in a large quantity. The implication these advance digital technologies is a big challenge for manufacturing companies, especially SMEs [4].

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