DEVELOPMENT OF TOOL MONITORING SYSTEM USING CONFIGURABLE VIRTUAL WORKSTATION CONCEPT

<p align="justify">Conventional production systems utilizing paper as a medium for information flow lacks the ability to ease real-time recording and accessing of data, causing inefficiency in the production system. In the case of tool management, difficulties in accessing up-to-date...

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Bibliographic Details
Main Author: Farhan Anditya, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/75647
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:<p align="justify">Conventional production systems utilizing paper as a medium for information flow lacks the ability to ease real-time recording and accessing of data, causing inefficiency in the production system. In the case of tool management, difficulties in accessing up-to-date information regarding stock, location, and condition of detected tools potentially wastes production time in vain. Configurable Virtual Workstation (CVWS) framework can be offered as an Industry 4.0 concept that is suitable to be applied to enable digital-based tooling information flow. In this research, a tool monitoring system was developed using the CVWS concept using web-based application. The implementation of the CVWS framework in the tool monitoring system is carried out by designing the production floor architecture, providing an identity for each tool, and designing a web-based application as a medium for information flow. By the utilization of computer and several relevant sensors, the proposed system can record data from the production floor in real-time and process this data into information that can be used for decision making regarding tool controlling. Application testing is carried out to check the suitability of application functionality against the criteria of user needs contained in the design requirements. The application that has been tested successfully update tool stock data in the case of tool requirement planning, tool location data in the case of tool distribution, and tool condition data in the case of tool inventory. By implementing a system that is able to record these data in real-time, inefficiencies in the production system can be minimized.