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Developing a Framework for Assessing Smart Factory Readiness of SMEs and Case Study

중소기업을 위한 스마트공장 도입 준비도 진단 체계 개발 및 적용사례연구

  • Cho, Ji-Hoon (Graduate School of Management of Technology, Sungkyunkwan University) ;
  • Shin, Wan-Seon (Department of System Management Engineering, Sungkyunkwan University)
  • 조지훈 (성균관대학교 기술경영전문대학원) ;
  • 신완선 (성균관대학교 시스템경영공학과)
  • Received : 2019.02.06
  • Accepted : 2019.03.09
  • Published : 2019.03.31

Abstract

Purpose: The purpose of this study is to support SMEs' introduction of smart factories during the $4^{th}$ Industrial Revolution era. Through this study, we developed the readiness assessment framework for SMEs. This study draws practical implications for improving the readiness of SMEs to introduce smart factories. Methods: Readiness Assessment Framework Design method, Case Studies Analysis Results: This study identified SMEs suitable for smart factories and identified key issues for nonconforming companies. And the diagnostic framework has been determined whether it works in a real-life SME environment. Conclusion: In order to succeed in the smart factory deployment, readiness assessment for SMEs should be performed as necessary. Prior to the introduction of smart factories, quality innovation activities should be carried out according to factory level.

Keywords

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Figure 1. Reasons for SMEs hesitating to introduce smart factories and Reasons for the dissatisfaction of SMEs adopting smart factories

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Figure 2. Research Approach

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Figure 3. Procedures for Readiness Diagnosis Framework Development

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Figure 4. Procedures for identifying core business areas of SMEs

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Figure 5. Assessment Items

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Figure 6. Smartization Readiness Diagnostic Results and Smart Factory Level Steps

Table 1. Smart Factory Readiness Assessment Items(Partial)

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Table 2. Classification of SMEs by Operating Period

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Table 3. Smartization Readiness Assessment Results of SMEs

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Table 4. Assessment results by smartization readiness area(System/Performance)

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Table 5. Follow-up type by area according to assessment result

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