Capítulo de Libro
Characterizing nervousness at the shop-floor level in the context of Industry 4.0
Título del libro: Designing Smart Manufacturing Systems
Fecha de publicación:
2023
Editorial:
Academic Press Inc Elsevier Science
ISBN:
978-0-323-99208-4
Idioma:
Inglés
Clasificación temática:
Resumen
Manufacturing systems are shifting from nonflexible to dynamic, self-aware, and self-adaptable ones. Scheduling systems, as the production activities' core, are turning online, with response capabilities. Nevertheless, even when immediate rescheduling actions are performed each time a disruption occurs, aimed at getting a new feasible and/or good quality solution, this adaptation-to-change response mechanism might not be well accepted on the shop floor. Repeated changes could lead to a continuous rearrangement of predefined manufacturing plans through different levels, from MRP to the control system. Traditionally, this behavior is known as schedule nervousness (SN). There are many contributions about nervousness at the planning level, as well as recent advances tackling it at the control level. Yet, further specification of nervousness happening at the shop floor (Shop-Floor Schedule Nervousness, SFSN), where a short-term on-going schedule drives the production, is needed. In this chapter, the SFSN issue is identified, characterized, and a first SFSN framework is proposed.
Palabras clave:
SCHEDULNG NERVOUSNESS
,
SCHEDULING STABILITY
,
SMART SCHEDULING
,
INDUSTRY 4.0
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Capítulos de libros(CIEM)
Capítulos de libros de CENT.INV.Y ESTUDIOS DE MATEMATICA DE CORDOBA(P)
Capítulos de libros de CENT.INV.Y ESTUDIOS DE MATEMATICA DE CORDOBA(P)
Capítulos de libros(IPQA)
Capítulos de libros deINSTITUTO DE INVESTIGACION Y DESARROLLO EN INGENIERIA DE PROCESOS Y QUIMICA APLICADA
Capítulos de libros deINSTITUTO DE INVESTIGACION Y DESARROLLO EN INGENIERIA DE PROCESOS Y QUIMICA APLICADA
Citación
Rodriguez, Maria Analia; Novas, Juan Matias; Characterizing nervousness at the shop-floor level in the context of Industry 4.0; Academic Press Inc Elsevier Science; 2023; 279-309
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