Sustainable Development Goals
Abstract/Objectives
Focusing on realistic needs for Taiwanese industry structure and the needs facing global competition. This research aims to propose a four-year project to develop the suitable framework for smart factory and corresponding modules based on big data analytics and optimization techniques for Industry 3.5 Smart Factory. On one hand, by benchmarking the leading countries, we will propose an Industry 3.5 Smart Factory framework as a guide for industries in Taiwan. On the other hand, we will conduct empirical studies via collaborative projects with leading companies in Taiwan to validate the proposed framework and also develop the basis for developing the solution modules and the associated analytical technologies. Indeed, our research team has developed long term win-win collaborative research mechanism with leading high-tech companies and thus will be able to integrate leading technologies in real settings to empower Taiwan industries to face future challenges and competition from leading countries that are employing the advanced intelligent manufacturing system at the level of Industry 3.5 as a hybrid strategy.
Results/Contributions

The purpose of this project is to investigate and provide a reference architecture of Smart Factory. On the one hand, based on the smart manufacturing and big data analysis solutions of Industry 3.5, the existing manufacturing facilities and software are inventoried and based on the theory of academic and research institutions; On the other hand, by understanding the company's current needs and industry trends, supported by technical evidence and related reports, and through discussions with the ZD Smart Factory project team, a set of early planning and reference frameworks and steps for a smart factory have been developed to help The company gradually realizes the goal of building a smart factory in the future.

This project is expected to comprehensively discuss and formulate the system architecture and various functional modules of smart factories from different aspects such as functional, system, and practical aspects. Combining with the company's professional domain knowledge to achieve a complete planning evaluation, as the company's blueprint for the implementation of smart factories. The content of the plan focuses on the planning and design stage before the implementation of the smart factory, and studies the implementation structure of the smart factory that conforms to the profession and practice, so that the factory can gradually achieve optimization and multi-system interconnection and integration according to the procedures, levels, and system processes designed in the framework. The results are used as a practical plan for the introduction and implementation phase to implement the infrastructure and preparations required for Industry 3.5.

The smart factory architecture integrates various technical requirements required in the production process. By analyzing the key technologies required in the process and system, the design architecture can be actually introduced into the PCB factory to achieve advanced manufacturing in the PCB industry. Based on digitalization, automation and various hardware and software equipment resources, a comprehensive structure that can help factories improve flexibility, controllability, and decision-making quality is proposed, and the overall engineering system in the structure is integrated and optimized, so that smart factories can improve compared with ordinary factories. More manufacturing efficiency and benefits.

The plan will be based on the current design criteria of the factory to understand the current implementation problems. During the process, experts and consultants in related fields will be sought for assistance, and the existing shortcomings and inadequacies of the past factories will be checked, so as to learn from the current model factories and model processes. Diligent, through benchmarking learning methods to find, adopt, plan, and create intelligent manufacturing as a competitive advantage.

This plan will systematically analyze and review smart manufacturing and big data analysis solutions and related fields of smart factory literature and survey reports, and investigate the experience of introducing benchmarks in different industries, develop smart factory pre-planning and reference framework suggestions, and provide company reference. Specific outputs include:

1. Planning industrial 3.5 smart factory as the infrastructure for ZD industrial upgrading

2. Provide various optimized module solutions for smart factories

3. Construct smart factory metrics to analyze the current situation and suggest improvement directions

Keywords
Smart factorySmart supply chainIndustry 3.5Industry 4.0
References
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Contact Information
簡禎富
cfchien@mx.nthu.edu.tw