Trend Analysis in the Development of Factories of the Future, Taking into Account Digital Transformation of Active Systems

Vlasov, Andrey I.; Kurnosenko, Alexey E.; Juravleva, Ludmila V.; Lysenko, Olga A.

doi:10.1145/3487757.3490881

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…With the advancement of information technology in the era of the fourth industrial revolution, represented by artificial intelligence, the Internet of Things, and big data, the business environment of manufacturing companies is changing faster than ever before. Companies are finding it difficult to survive without digital transformation, and factories that produce goods for companies are also finding it difficult to survive in an infinitely competitive market unless they utilize information technology such as predictive analysis and cyber-physical systems to increase productivity and innovation [1].…”

Section: Introductionmentioning

confidence: 99%

A Maturity Model for Diagnosing the Capabilities of Smart Factory Solution Suppliers and Its Pilot Application

Cha,

Lee,

Jun

et al. 2023

Systems

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For the successful and sustainable deployment and diffusion of smart factories, both the capabilities of the adopters who operate the factories and the capabilities of the suppliers who supply information technology and equipment play very important roles. However, since the existing models for diagnosing the capabilities of smart factories are mainly focused on evaluating the capabilities of the manufacturing companies themselves, such as technological capabilities and digital transformation, there are not many models that diagnose the supply capabilities of suppliers from the perspective of demand companies. Unlike models that diagnose the level of smart factories, when diagnosing the capabilities of suppliers, various factors such as supply experience and management capabilities must be comprehensively evaluated in addition to the capabilities of the company itself. Therefore, this study proposes a new model to diagnose the capabilities of suppliers from the perspective of adopters who want to build smart factories and verifies the validity of the model by applying the model for a pilot diagnosis for 32 suppliers. In addition, based on the survey results obtained from both adopters and suppliers participating in the pilot diagnoses, this study proposes an institutionalization plan for capability diagnosis.

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Section: Introductionmentioning

confidence: 99%