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Objective: This study proposes a process of revitalization and regeneration of the old medina of Bejaad, as well as a methodology for the technical analysis of its urban fabric and traditional structures, while respecting the inherent values of its constructions. Through data related to the location of each building and a more in-depth investigation, a global relationship with its environment and history is established. Theoretical Framework: The old medina of Bejaad, through its ancient fabric and its potential social and economic wealth, should be leveraged for the development of this spiritual city. This built heritage is characterized by buildings that, for the most part, have preserved an uncommon restraint, maintaining the art of past construction and the secrets of local housing. Its housing is composed of two types of built fabric: traditional and more recent structures. These two types of buildings are connected by a network of public spaces that bring the inhabitants together. Method: Creation of specific Building Information Modelling (BIM) object libraries, derived from three-dimensional models created by 3D scanning using Lidar technology. Results and Discussion: The results of this investigation highlight the need to identify new methodologies for studying the built environment, which no longer focus solely on individual building types, but encompass the broader scale of the fabric, within which it is possible to assess the constructive relationships between the elements composing the block. This is achieved through a process of adopting measures for the protection, rehabilitation, and appropriation of their living environment. Originality/Value: The study proposes a practical evaluation approach by providing precise data to improve the preservation of the built heritage of the old medina of Bejaad, with the aim of establishing an architectural, urban, and landscape charter for the city and its components.
Objective: This study proposes a process of revitalization and regeneration of the old medina of Bejaad, as well as a methodology for the technical analysis of its urban fabric and traditional structures, while respecting the inherent values of its constructions. Through data related to the location of each building and a more in-depth investigation, a global relationship with its environment and history is established. Theoretical Framework: The old medina of Bejaad, through its ancient fabric and its potential social and economic wealth, should be leveraged for the development of this spiritual city. This built heritage is characterized by buildings that, for the most part, have preserved an uncommon restraint, maintaining the art of past construction and the secrets of local housing. Its housing is composed of two types of built fabric: traditional and more recent structures. These two types of buildings are connected by a network of public spaces that bring the inhabitants together. Method: Creation of specific Building Information Modelling (BIM) object libraries, derived from three-dimensional models created by 3D scanning using Lidar technology. Results and Discussion: The results of this investigation highlight the need to identify new methodologies for studying the built environment, which no longer focus solely on individual building types, but encompass the broader scale of the fabric, within which it is possible to assess the constructive relationships between the elements composing the block. This is achieved through a process of adopting measures for the protection, rehabilitation, and appropriation of their living environment. Originality/Value: The study proposes a practical evaluation approach by providing precise data to improve the preservation of the built heritage of the old medina of Bejaad, with the aim of establishing an architectural, urban, and landscape charter for the city and its components.
This study explores enhancing decision-making processes in inventory management and production operations by integrating a developed system. The proposed solution improves the decision-making process, managing the material supply of the product and inventory management in general. Based on the researched issues, the shortcomings of modern enterprise resource planning systems (ERPs) were considered in the context of Warehouse 4.0. Based on the problematic areas of material accounting in manufacturing enterprises, a typical workplace was taken as a basis, which creates a gray area for warehouse systems and does not provide the opportunity of quality-managing the company’s inventory. The main tool for collecting and processing data from the workplace was the neural network. A mobile application was proposed for processing and converting the collected data for the decision-maker on material management. The YOLOv8 convolutional neural network was used to identify materials and production parts. A laboratory experiment was conducted using 3D-printed models of commercially available products at the SmartTechLab laboratory of the Technical University of Košice to evaluate the system’s effectiveness. The data from the network evaluation was obtained with the help of the ONNX format of the network for further use in conjunction with the C++ OpenCV library. The results were normalized and illustrated by diagrams. The designed system works on the principle of client–server communication; it can be easily integrated into the enterprise resource planning system. The proposed system has potential for further development, such as the expansion of the product database, facilitating efficient interaction with production systems in accordance with the circular economy, Warehouse 4.0, and lean manufacturing principles.
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