Abstract
In the last 20 years, with the liberalization of the economy, and the trend of industrial globalization, people have gradually paid more attention to environmental protection. With the tremendous advances in information technology, enterprises facing such a severe impact on the business operations, business administrative models must be innovative and adaptable in order to survive and flourish. The paper industry is not only a highly polluting industry, but in the case of long-term overcapacity, the price of paper products is often suppressed, which lowers profitability. The purpose of this study, which is based on the production data of a paper company, is to pose a mathematical programming decision model which integrates green manufacturing technologies, activity-based costing (ABC), and the theory of constraint (TOC); this model should assist in preparing the best production plans, and achieve the optimal profitable product mix. In addition, this study also proposes that the most popular related technologies developed by Industry 4.0 be applied to production control in recent years in order to enhance production efficiency and quality. The findings of this study should contribute to the improvement of the competitiveness of the paper industry, and provide insights into the value of an integrated mathematical programming model applied for product-mix decision. At the same time, we have also applied the related technologies developed by Industry 4.0 to machine maintenance and quality control in manufacturing workshops. With its tremendous benefits, we can actively arouse the industry’s understanding of, and attention to, Industry 4.0, thereby increasing the interest in industrial 4.0-related technology investments.
Highlights
The development of the Internet of Things (IoT) and the Cyber-Physical System (CPS) technologies, after the new program of Industry 4.0 was launched in Germany at the Hannover Trade Fair in 2011, signified the opening of the fourth industrial revolution [1]
Due to the development of related technologies in Industry 4.0, various Sensor devices can Currently, due to the development of related technologies in Industry 4.0, various Sensor devices be installed on machines, and production data can be obtained in a more timely and accurate manner can be installed on machines, and production data can be obtained in a more timely and accurate manner [64], which improves the use efficiency of activity-based costing (ABC) and greatly reduces the cost of manually collecting production data, as conducted in the past
This study briefly introduces the role that Industry 4.0 can play in data collection and production control, thereby arousing the attention of Taiwanese industries to understand and apply related technologies developed by Industry 4.0, which is in its infancy in the paper industry
Summary
The development of the Internet of Things (IoT) and the Cyber-Physical System (CPS) technologies, after the new program of Industry 4.0 was launched in Germany at the Hannover Trade Fair in 2011, signified the opening of the fourth industrial revolution [1]. Industry 4.0 manufacturing will involve the automated and intelligent interoperation of the exchange of information to control the production operation of the machine. With the characteristics of the Internet of Things (IoT) and the Cyber-Physical System (CPS), the related items of materials, sensors, machines, products, supply chain and customers can be interconnected to each other. Each machine can independently and autonomously exchange information and control behavior during the production process, making it possible for the product to control its own manufacturing process [2].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
