Shop floor control in smart factories’ era: paths and maturity model

• Ano de defesa: 2022
• Autor(a) principal: Bueno, Adauto Farias
• Orientador(a): Godinho Filho, Moacir
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção - PPGEP
• Palavras-chave em Inglês: Industry 4.0; Smart Production Planning and Control; Smart Manufacturing; Maturity Model; Maturity Paths; Artifacts
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/17140

Scholars and practitioners have conceived Industry 4.0 as a comprehensive set of emerging technologies clustered in smart technological ecosystems into industrial companies. Since Smart Manufacturing is at the core of this concept, Production Planning and Control (PPC) plays a “brain” role in companies because it can lead them toward Smart Factories. This Doctoral Dissertation aims to investigate the relationships between Industry 4.0’ technologies and the manufacturing industry from a Shop Floor Control/Production Planning and Control function perspective. Firstly, we delimit the relationships between Industry 4.0 and the organizational entity of PPC/SFC from an extensive Systematic Literature Review. Second, we proposed a standard framework to develop maturity models into Industry 4.0’ era. Third, we proposed and designed a focus-area and prescriptive Smart Shop Floor Control Maturity Model (S2FC MM) based on five research iterations from Design Science Research - DSR. Our S2FC MM contains five focus areas comprised of 20 key factors covered by 98 capabilities (maturity matrix). S2FC MM is a progression maturity model with five maturity levels entailing the Industry 4.0-concept. S2FC MM was validated and implemented in a steel manufacturing company.