Serrano-Ruiz, Julio C.; Mula, Josefa; Poler, R.(Elsevier, 2022-03)
[EN] Based on a scientific literature review in the conceptual domain defined by smart manufacturing scheduling (SMS), this article identifies the benefits and limitations of the reviewed contributions, establishes and ...
Serrano, Julio C.; Mula, Josefa; Poler, R.(Springer, 2021-06-30)
[EN] Recently, many novel paradigms, concepts and technologies, which lay the foundation for the new revolution in manufacturing environments, have emerged and make it faster to address critical decisions today in supply ...
[EN] This paper presents a new innovative framework to support smart manufacturing quality assurance. More specifically, the i4Q framework provides an IoT-based Reliable Industrial Data Services (RIDS), a complete suite ...
Serrano Ruiz, Julio César(Universitat Politècnica de València, 2025-01-24)
[ES] El paradigma de la Industria 4.0 (I4.0) gravita en gran medida sobre el potencial de las tecnologías de la información y la comunicación (TIC) para mejorar la competitividad y sostenibilidad de las industrias. El ...
Serrano Ruiz, Julio Cesar; Mula, Josefa; Poler, R.(IEEE, 2021-06-09)
[EN] The growing digitization of manufacturing processes is revolutionizing the production job-shop by leading it toward the Smart Manufacturing (SM) paradigm. For a process to be smart, it is necessary to combine a given ...
Serrano-Ruiz, Julio C.; Mula, Josefa; Poler, R.(Elsevier, 2021-10)
[EN] Within the scheduling framework, the potential of digital twin (DT) technology, based on virtualisation and intelligent algorithms to simulate and optimise manufacturing, enables an interaction with processes and ...
Serrano-Ruiz, Julio C.; Mula, Josefa; Poler, R.(MDPI AG, 2021-12)
[EN] Risks arising from the effect of disruptions and unsustainable practices constantly push the supply chain to uncompetitive positions. A smart production planning and control process must successfully address both risks ...
Serrano-Ruiz, Julio C.; Mula, Josefa; Poler, R.(Elsevier, 2022-05)
[EN] An integral application of the enabling technologies of Industry 4.0 in the job-shop scheduling problem (JSSP) must contemplate the automation and autonomy of the involved decision-making processes as a goal, which ...