A review on the dashboard characteristics for manufacturing organizations

The implementation of the Business Intelligence (BI) dashboard in the manufacturing organizations has shown an upward trend. As more and more manufacturing data is generated, there is a problem of the most important information that is needed by the organization is hidden and unseen. The dashboard has helped to overcome this problem where it is used to display the most important information that is needed by the organization in a single view. The dashboard used in those manufacturing organizations has its own characteristics to serve its purpose. This paper will review the previous literatures related to the implementation of dashboard in the manufacturing organizations and to find out the common characteristics that serve the manufacturing organizations’ needs, as well as the type of dashboard that is commonly used. The review shows that the characteristics of dashboard needed by most of the manufacturing organizations have to be in real-time, include historical and future data (if possible) and include colorful graphs and charts for better visual. The operational dashboard is the most commonly used in the manufacturing industry. With the dashboard features discussed, hopefully it could built up confidence for future study on the characteristics to consider during the development of the dashboard for usage in a manufacturing organization

The study on the application of business intelligence in manufacturing: a review

A manufacturing based organization operates in an environment where a fast and effective decision is needed. This is to ensure that the output is met with customer compliance. There exists manufacturing systems that collect the operational data and the data turns out to be in a high volume due to the state of the art of the abundant manufacturing operational data. Having a lot of data without the tool to analyze and extracting valuable information from it, increases the amount of time spent by employees focusing on the data itself. This eventually leads to a delay in a decision making process, resulting in a delay of products delivery to customer. To fill in this gap, a Business Intelligence (BI) implementation will be reviewed, with the aim to execute the right action at the right time or in other words, to improve the decision making process of an organization

Mobile-Based Application: The Designation of Energy Saving Smart Light System for Monitoring and Controlling

The use of lights are the command sources in our life, anytime and everywhere. On trending of demands, the alternative sources are important to increase the satisfaction on user requirement. While, saving energy is another  issue to be considered on the light system designation. Therefore, this research provides the details on the implementation of the smart lamp with controlled light system based on Arduino and mobile application usage to save the energy. Smart lamp is a finest way to minimize and preserve light with the remote system in order to monitor and control the brightness of light. This research is created to design the energy saving smart light system via mobile application and devices. It is a minor prototype that is fully automated and controlled by Arduino board. The designation begin with identification of input of LDR sensor, PIR sensor and circuit setting. Next, the integration of hardware and software is implemented for Arduino program, mobile application and the devices. Lastly, the testing process is executed and the data is collected and analysed. The overall system has been experimentally validated with the scenario as setup. Through monitoring and controlling the light in such a way is always accurately matched to the actual need that allows to save on the energy usage and costs, as well as to improve the human comfort and efficiency