State-of-Practice on As-Is Modelling of Industrial Facilities

Agapaki, Evangelia; Brilakis, Ioannis

doi:10.1007/978-3-319-91635-4_6

Cited by 12 publications

(7 citation statements)

References 11 publications

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“…4). As-is model identifies weaknesses and potential improvements for future changes [15]. Based on observation of the as-is model, interview data, and root cause analysis (Fishbone method and 5-Why method) as described [16], problems that occur mainly because of human errors in the workflow are found.…”

Section: A Analysis Phasementioning

confidence: 99%

Integrated Information System of Material Resource Planning and Supply Chain Procurement: A Case Study of XYZ Company

Wijaya¹,

Sari²,

Supriatna³

2022

CommIT (Communication and Information Technology) Journal

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Human errors are inevitable due to the mass customization and complex supply chain, which must be considered in the Material Resource Planning (MRP) explosion calculation and the Supply Chain Procurement (SCP) distribution of sales orders. Such errors lead to SCP problems with the subject company. The research presents the design and implementation of an integrated information system of MRP and SCP. The objective is to solve the issues in the subject company by designing and implementing an Integrated Information System (IIS) framework with an open-source software platform, which utilizes a generic Bill-of-Materials (BoM) explosion algorithm to calculate the MRP of customers’ sales orders. Then, an algorithm is also proposed to calculate SCP distribution to enable the framework in the implementation stage. The research subject is the process business in Indonesia’s local Original Equipment Manufacturer (OEM) for automotive components. The name of the company is concealed to be XYZ Company. The calculation is introduced in the testing phase to illustrate the algorithm’s mechanism. This approach ensures a valid calculation of efficient supply chain processes. The combined approaches in the subjected business process yield satisfactory results. It reduces significant issues to 12.5% for the stated problems. Hence, the design objective is achieved.

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Section: A Analysis Phasementioning

confidence: 99%

Integrated Information System of Material Resource Planning and Supply Chain Procurement: A Case Study of XYZ Company

Wijaya¹,

Sari²,

Supriatna³

2022

CommIT (Communication and Information Technology) Journal

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show abstract

“…Both imagery-and laser-scan-based approaches create a model consisting of the 3D geometry of the as-performed-state, although these methods often do not automatically introduce objects into the model. Getting object-information out of a laser-scanned 3D model typically involves a manual and labor-intensive process (Agapaki and Brilakis, 2018). Researchers such as Yang et al are investigating ways of automating this step (Yang et al, 2020).…”

Section: Related Workmentioning

confidence: 99%

Automated activity and progress analysis based on non-monotonic reasoning of construction operations

Johansen

Nielsen

Schultz

et al. 2021

SASBE

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PurposeReal-time location sensing (RTLS) systems offer a significant potential to advance the management of construction processes by potentially providing real-time access to the locations of workers and equipment. Many location-sensing technologies tend to perform poorly for indoor work environments and generate large data sets that are somewhat difficult to process in a meaningful way. Unfortunately, little is still known regarding the practical benefits of converting raw worker tracking data into meaningful information about construction project progress, effectively impeding widespread adoption in construction.Design/methodology/approachThe presented framework is designed to automate as many steps as possible, aiming to avoid manual procedures that significantly increase the time between progress estimation updates. The authors apply simple location tracking sensor data that does not require personal handling, to ensure continuous data acquisition. They use a generic and non-site-specific knowledge base (KB) created through domain expert interviews. The sensor data and KB are analyzed in an abductive reasoning framework implemented in Answer Set Programming (extended to support spatial and temporal reasoning), a logic programming paradigm developed within the artificial intelligence domain.FindingsThis work demonstrates how abductive reasoning can be applied to automatically generate rich and qualitative information about activities that have been carried out on a construction site. These activities are subsequently used for reasoning about the progress of the construction project. Our framework delivers an upper bound on project progress (“optimistic estimates”) within a practical amount of time, in the order of seconds. The target user group is construction management by providing project planning decision support.Research limitations/implicationsThe KB developed for this early-stage research does not encapsulate an exhaustive body of domain expert knowledge. Instead, it consists of excerpts of activities in the analyzed construction site. The KB is developed to be non-site-specific, but it is not validated as the performed experiments were carried out on one single construction site.Practical implicationsThe presented work enables automated processing of simple location tracking sensor data, which provides construction management with detailed insight into construction site progress without performing labor-intensive procedures common nowadays.Originality/valueWhile automated progress estimation and activity recognition in construction have been studied for some time, the authors approach it differently. Instead of expensive equipment, manually acquired, information-rich sensor data, the authors apply simple data, domain knowledge and a logical reasoning system for which the results are promising.

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“…The 1 st category is BIM authoring tools (BATs), which are currently semi-automated at best. This includes but is not limited to Autodesk Revit, SketchUp, ArchiCAD, Descartes and EdgeWise.Yet, the automation provided by these software packages is tailored only to generic or predefined geometries; it is still far from being fully automatic (Agapaki and Brilakis, 2018). These packages can realise a certain degree of automation as the EUR 1 & 2 can be partially automated.…”

Section: Current Practice Of Railway Digital Twinningmentioning

confidence: 99%

Generating Railway Geometric Digital Twins from Airborne LiDAR Data

Ariyachandra¹,

Brilakis²

2021

Computing in Construction

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The cost of the railway digital twinning process counteracts the expected benefits of the resulting model. State-of-the-art methods yielded promising results, yet they could not offer large-scale digital twinning required over kilometres without forfeiting precision and manual cost. The proposed framework exploits the potential of railway topology to perform better when detecting and modelling the geometry of railway elements in railway point clouds with varying geometric patterns. Experiments on 18 km railway datasets illustrate that the framework improves the current cost and benefit ratio by reducing the overall twinning time by 90% without using any prior information.

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State-of-Practice on As-Is Modelling of Industrial Facilities

Cited by 12 publications

References 11 publications

Integrated Information System of Material Resource Planning and Supply Chain Procurement: A Case Study of XYZ Company

Integrated Information System of Material Resource Planning and Supply Chain Procurement: A Case Study of XYZ Company

Automated activity and progress analysis based on non-monotonic reasoning of construction operations

Generating Railway Geometric Digital Twins from Airborne LiDAR Data

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