Simulation Model of a Spare Parts Distribution Network in the Airline Industry for Reducing Delays and Improving Service Levels: A Design of Experiments Study

Gejo-García, Javier; Gallego-García, Diego; Gallego-García, Sergio; García-García, Manuel

doi:10.1007/978-3-030-98404-5_66

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“…A digital twin model and the link with information system databases are the basis for performing simulations that enable one to analyze policies based on what-if analysis and statistical techniques. Based on Figure 3, there are already digital twin models and simulations for the different functions within different types of organizations, such as procurement [47], distribution [45,48,49], production and quality [50], maintenance [51], information systems [52], sales [53], human resources [54][55][56], design, and development [57], for the planning and control of operations [52,58], for finance, improvement strategies, and strategic planning [59][60][61], as well as at the normative level [46]. Moreover, there are already models that can assess the three different levels, i.e., organization, supply chain, and related environment [51].…”

Section: Methodology For Digital Ecosystems For the Fourth Industrial...mentioning

confidence: 99%

Dynamic Innovation Information System (DIIS) for a New Management Age

et al. 2022

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Innovations are essential for global development and market dynamics. Innovation management is central to organizations for gaining adaptability and dynamic capabilities to ensure their sustainability over time. Right decisions are essential for the implementation of innovations. However, on many occasions, especially in the product development process, decisions are taken based on static analysis, qualitative criteria, questionnaires, and/or quantitative evaluations that are outdated. Moreover, many innovation developments do not consider the existing databases in their information systems of similar innovation projects, especially in the early phases of new innovations when evaluations are mainly driven by area, group, or person. Furthermore, inventions are introduced in different regions, plants, and socio-economic situations, providing different results. In this context, considering that innovations shape our current and future world, including all products and services, as well as how humans, organizations, and machines interact, the significance of the paper is clear. Therefore, it is necessary to develop an innovation management model based on the Viable System Model to cope with any potential future environment based on internal organizational capabilities. For this purpose, the paper designs a Digital Ecosystem for the Fourth Industrial Revolution (DE4.0) based on the Plan-Do-Check-Act methodology applicable to any information system consisting of a digital twin, a simulation model, databases from existing information systems, and quality management techniques. This DE4.0 provides a huge advantage for the applicability and scalability of innovations as it allows one to plan, monitor, assess, and improve. Moreover, based on the conceptual model, a generic project evaluation scheme is developed, providing a platform for innovation project management and control during the whole innovation life cycle. As a result, the research provides a scientific and practical contribution for an integrated management of innovations based on the best information and set of techniques available. Based on this framework, a supply-chain case study is developed. The results show how, depending on the intended goals, the past experiences, the evolution of the innovation, and the innovation scope, indicators can be influenced towards reaching the initial goals and reducing the innovation risks. Finally, a discussion about the potential use and role of the DE4.0 for innovation projects and the related learning process is performed.

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