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Integration of the knowledge management process and Industry 4.0 technologies
Published in Justyna Patalas-Maliszewska, Managing Manufacturing Knowledge in Europe in the Era of Industry 4.0, 2023
Machines and robots can be treated as a source of explicit knowledge due to their work having been saved in information system databases. In customer-oriented organisations, this source is within the organisational dimension and is referred to as information system databases at the operational level, namely the manufacturing executing system (MES), manufacturing operations management (MOM), advanced planning and scheduling system (APS), computerised maintenance management system (CMMS), product data management (PDM), and computer-aided technologies (CAx). The MES enables the effective collection of data and information in real time from production stations and their transfer to other areas of the company. Data and information on the implementation of production can be downloaded directly from the machines and with the participation of direct production workers. The MES also performs functions characteristic of the supervisory control and data acquisition (SCADA), a uniform, interface system for production controllers and autonomous industrial systems. As the evolution of MES and SCADA takes place, MOM integrates manufacturing operations into one system, e.g. planning and scheduling, human–machine interface, software and even performance analysis (http://www.siemens.com). 1 Nowadays, the next generation of MES and MOM need standardisation architecture for their integration, the ability to integrate new devices and software functionalities without configuration by the user, the ability to be customised according to the company's needs (e.g. open-source solutions), and the continuous modularity of such systems (Wang et al., 2020; Mantravadi et al., 2022). The APS is dedicated for planning and controlling manufacturing, and complements existing enterprise resource planning (ERP) systems by analysing the activities within a company in order to assist in making decisions (Hvolby and Jensen, 2010). A computerised maintenance management system (CMMS) is a system tool to support maintenance management, based on an integrated database to plan and monitor maintenance activities (Carnero, 2006). Maintenance management plays a key role in this regard, as it may result in a reduction of lost production and an increase in customer satisfaction. CAx (CAD/CAM/CAE) are tools supporting product development in a complete lifecycle (Dankwort et al., 2004). The main advantage of using CAx systems is the reduction of the product's time development, which is a key element in mass customisation.
Data transfer analysis of the homogeneous rough surface of a solid model into a CAE system with varying file data formats
Published in Cogent Engineering, 2022
K. Kartini, G.A. Sipayung, R. Ismail, J. Jamari, A.P. Bayuseno
Recently, varying CAx systems such as CAD/CAE have been efficiently developed to facilitate technological revolutions in product design (Berselli et al., 2020). In particular, CAD can generate articles of a product-shaped model by defining or selecting parameters and constraints (Chaparala et al., 2013; Hadj et al., 2018; Ramnath et al., 2020). Moreover, objects represented in CAD data with the full parameters can be enhanced before transferring of design intent into other CAx systems. Specifically, CAE system based-computer software can be applied for improving product design and resolving engineering problems in many industrial sectors. This system may serve for simulating, optimizing, and validating designs, products, and manufacturing processes that can be integrated with computer-aided manufacturing (CAM). Correspondingly, CAE technologies provide a precise model for supporting engineers during the design process (Chaparala et al., 2013). For instance, CAE simulations present multi-body analysis (MBD), and deflection and stress analysis using finite element method (FEM), simulating the actuation system, or performing optimization studies. Accordingly, virtual models of CAE provide benefits of integrating various data and supporting product testing, compared to physical testing (Chaparala et al., 2013).
Design methodology for production systems retrofit in SMEs
Published in International Journal of Production Research, 2020
Marcos Pueo, Jorge Santolaria, Raquel Acero, Jorge Sierra-Pérez
Despite a retrofit could limit the freedom of the designer it supposes easier processes due to the previous established dimensions and different characteristics of the elements. The most common retrofit is the replacement of obsolete components with more updated ones. Sometimes the replacement is almost total maintaining only the main structure. At this point, it is necessary to do a particular study of the machinery, identifying the necessity of drives, sensors or new functional elements. The ongoing process of decision-making and modification continues until the design suits our requirements. CAX tools allow to adjust dimensions and predict the performance of key elements, validating the design prior to production (Lutters et al. 2014). Pahl et al. (2007) propose three basic design rules for a successful outcome: clarity of function, free of ambiguity; simplicity of form and a limited number of components for speed and ease of production; plus safety in terms of reliability, accident prevention and protection of the environment.
An investigation and evaluation of computer-aided design model complexity metrics
Published in Computer-Aided Design and Applications, 2018
Michael D. Johnson, Lauralee M. Valverde, William D. Thomison
Computer-aided design (CAD) tools are vital to the modern product development and commercialization process. As some companies move towards a model based enterprise (MBE); their role becomes more critical. In the MBE, the CAD model is at the nexus of design and development activities; various professionals in the MBE will access the digital representation of the part to complete numerous tasks (e.g., finite element analysis or computer-aided manufacturing) [18]. CAD assists in improving the development process through virtual development [4]. The combination of these various computer-aided design tools is known as CAx and has become an integral part of product commercialization [15]. This requires the ability to share data across the enterprise [25]. Given the role of the CAD model in the development process, it is important to understand how various aspects of the model may impact its use in some of these tasks. One important aspect of CAD models that impacts numerous functions is the complexity of the model or component. There is no standard objective complexity metric used to assess a component in CAD [1].