Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Valentina Popolo"'
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4808 (2023)
The ability to supply increasingly individualized market demand in a short period of time while maintaining costs to a bare minimum might be considered a vital factor for industrialized countries’ competitive revival. Despite significant advances i
Externí odkaz:
https://doaj.org/article/8d062d3b6de64594ab505e0e9846b92f
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 7, Iss 2, p 75 (2023)
This paper proposes a genetic algorithm approach to solve the identical parallel machines problem with tooling constraints in job shop flexible manufacturing systems (JS-FMSs) with the consideration of tool wear. The approach takes into account the r
Externí odkaz:
https://doaj.org/article/6e9a784b61b8448ba3991dead51e95b7
Publikováno v:
Data in Brief, Vol 36, Iss , Pp 106985- (2021)
This data article presents a flow shop scheduling problem in which machines are not available during the whole planning horizon and the periods of unavailability are due to random faults. The experimental dataset consists of two problems with differe
Externí odkaz:
https://doaj.org/article/abcbee43638145f59f96df5a31d9f711
Publikováno v:
IFAC-PapersOnLine. 55:2932-2937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10c1d16fc61451e088c9cc4643e8a594
https://doi.org/10.1016/j.ifacol.2022.10.177
https://doi.org/10.1016/j.ifacol.2022.10.177
Deep Reinforcement Learning (DRL) has been included into the production system for multiple objectives, including control, scheduling, and maintenance planning. Maintenance must be planned sensibly and economically in order to preserve the usable lif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::825102f359b0b389e3c97f1e292e7a77
https://doi.org/10.3233/faia220268
https://doi.org/10.3233/faia220268
The advent of innovative technologies is reshaping every aspect of our lives. Smart products incorporating these new technologies have become commonplace in both our private and professional lives. The use of advanced technologies has shown great pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03dcd11c81081e068b10fb206c9a6652
https://hdl.handle.net/11588/915118
https://hdl.handle.net/11588/915118
Publikováno v:
SoMeT
Considering a Flow Shop production line in an Industry 4.0 setting where the Cyber-Physical System (CPS) and Internet of Things (IoTs) can be deployed, a newly Performance-based Decentralised Dispatching Rule (PDDR) is proposed. It combines known dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a67a1bbc053fa071ee027415fe9bfc4f
https://doi.org/10.3233/faia210055
https://doi.org/10.3233/faia210055
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859053
APMS (3)
APMS (3)
The recent advancements of technology have been radically transforming the industrial world and our societies as well. The application of the new technologies is ubiquitous involving various domains from industrial production to everyday life. This p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df23434cd8c27b330da538ece91e33fb
https://doi.org/10.1007/978-3-030-85906-0_35
https://doi.org/10.1007/978-3-030-85906-0_35
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030858735
APMS (1)
APMS (1)
The ability to meet increasingly personalized market demand in a short period of time and at a low cost can be regarded as a fundamental principle for industrialized countries’ competitive revival. The aim of Industry 4.0 is to resolve the long-sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a0a8257498a35f45d08f0db536f611
https://doi.org/10.1007/978-3-030-85874-2_15
https://doi.org/10.1007/978-3-030-85874-2_15
Publikováno v:
Data in Brief, Vol 36, Iss, Pp 106985-(2021)
Data in Brief
Data in Brief
This data article presents a flow shop scheduling problem in which machines are not available during the whole planning horizon and the periods of unavailability are due to random faults. The experimental dataset consists of two problems with differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29fece30122592a215cf76175793e1b
http://hdl.handle.net/11588/882954
http://hdl.handle.net/11588/882954