Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing

Ferrer, Borja Ramis; Mohammed, Wael M.; Ahmad, Mussawar; Iarovyi, Sergii; Zhang, Jiayi; Harrison, Robert; Lastra, José L. Martínez

doi:10.1007/s10115-021-01558-4

Cited by 12 publications

(2 citation statements)

References 59 publications

(60 reference statements)

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“…There are several stages based on information from the results of the analysis process on the problems and the system that is running. Database design is carried out using the database system development life cycle approach (Foster & Godbole, 2022), which is divided into several processes: database planning, system definition, requirements gathering and analysis, database design, DBMS selection (Roy-Hubara et al, 2019), application design, prototyping, implementation, data conversion and loading, testing, and maintenance operations (Ramis Ferrer et al, 2021).…”

Section: Design Methodsmentioning

confidence: 99%

Relational Database for Health Care

Tarigan,

Sembiring

2023

jppipa, pendidikan ipa, fisika, biologi, kimia

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The development of activities within a company will increase the complexity of business processes with transactional data that will increase from time to time. This is also experienced in health services, which are health service institutions for the community and certainly involve a lot of data in their operations. Starting from the registration process, medical/paramedical examinations, hospitalization, purchasing drugs, laboratories, etc. These data certainly require a container that can be used to manage the data needed in the transaction. So that later these data can be easily integrated and processed into a useful output. Database as one of the media that can be used to accommodate all supporting data. By using a database, and the features of a Database Management System (DBMS) can help companies carry out their operations more effectively and efficiently. The research method used refers to the analysis and design. In the method of analysis, literature studies are carried out from various supporting sources and observations of samples of research objects. While the design method refers to database design using the Database Lifecycle approach

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Section: Design Methodsmentioning

confidence: 99%

Relational Database for Health Care

Tarigan,

Sembiring

2023

jppipa, pendidikan ipa, fisika, biologi, kimia

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“…The research in [1] illustrates the physical system and the development of a simulator to help in developing applications for the production system. Furthermore, this use case was exploited in several research activities such as developing a generic MES system in [85], proposing a knowledge-based manufacturing system in [86], studying the industrial data lifecycle management in [87], and implementing the ISO-22400 KPIs in a virtual production systems in [88] among others. To reduce the complexity of demonstrating the approach in this paper, a single workstation will be used where the assembly process happens.…”

Section: Fastory Use Casementioning

confidence: 99%

Ontology-Driven Guidelines for Architecting Digital Twins in Factory Automation Applications

2022

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The rapid emerging technologies in various fields permitted the creation of simulation tools. These tools are designed to replicate physical systems in order to provide faster, cheaper and more detailed illustrative analysis of the physical system. In this regard, the concept of digital twins has been introduced to generally define these simulation tools. In fact, and according to the creator of the digital twin term Micheal Grieves, a digital twin is defined as a physical system, a digital replica of the physical system and information flow between the former parts. This definition is simple and generic for describing digital twins and yet, holistic. This broad definition creates a challenge for developers who target the development of such applications. Therefore, this paper presents a paradigm for architecting digital twins for manufacturing processes. The approach is inspired by the definitions of the ISA95 standard and the onion concept of computer applications to create multi-layer and multi-level concepts. Furthermore, and to satisfy the different required features by industries, the approach considers a multi-perspective concept that allows the separation of the digital twin views based on functionality. This paradigm aims at providing a modular, scalable, reusable, interoperable and composable approach for developing digital twins. Then, an implementation of the approach has been introduced using an ontology-based system and the IEC61499 standard. This implementation has been demonstrated on a discrete manufacturing assembly line.

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