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Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems.
Villalba-Diez, Javier; Zheng, Xiaochen.
Afiliación
  • Villalba-Diez J; Fakultät Management und Vertrieb, Campus Schwäbisch Hall, Hochschule Heilbronn, 74523 Schwäbisch Hall, Germany.
  • Zheng X; Complex Systems Group, Escuela Técnica Superior de Ingenieros Agrónomos, Universidad Politécnica de Madrid, Av. Puerta de Hierro 2, 28040 Madrid, Spain.
Sensors (Basel) ; 20(20)2020 Oct 16.
Article en En | MEDLINE | ID: mdl-33081193
ABSTRACT
The strategic design of organizations in an environment where complexity is constantly increasing, as in the cyber-physical systems typical of Industry 4.0, is a process full of uncertainties. Leaders are forced to make decisions that affect other organizational units without being sure that their decisions are the right ones. Previously to this work, genetic algorithms were able to calculate the state of alignment of industrial processes that were measured through certain key performance indicators (KPIs) to ensure that the leaders of the Industry 4.0 make decisions that are aligned with the strategic objectives of the organization. However, the computational cost of these algorithms increases exponentially with the number of KPIs. That is why this work makes use of the principles of quantum computing to present the strategic design of organizations from a novel point of view Quantum Strategic Organizational Design (QSOD). The effectiveness of the application of these principles is shown with a real case study, in which the computing time is reduced from hundreds of hours to seconds. This has very powerful practical applications for industry leaders, since, with this new approach, they can potentially allow a better understanding of the complex processes underlying the strategic design of organizations and, above all, make decisions in real-time.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Alemania