ABSTRACT
The Philippines has consumed over 108,000 and 101,000 GWh of energy in the years 2019 and 2020, respectively. These consumed energy is generated by different providers such as the Manila electric, Visayan electric, and Negros Occidental electric cooperative which mainly provides for the residential, commercial, and industrial sectors. Moreover, the country utilizes four main energy generation types namely, coal, oil-based, natural gas, and renewable energy. As reported in the Department of Energy's 2020 Power Statistics Report, figures show that the recent COVID-19 pandemic resulted in an increase in generated energy for the household sector. Inversely, the generated energy for commercial and industrial sectors dropped. This is due to the lockdown urging people to have a work or study from home set-up rather than face to face. With this shift in energy distribution may come cases of incorrectly measured power consumption that increases electricity bills of each sector and the companies involved. Therefore, this study aims to apply linear programming to optimize the allocation of energy generation and consumption of power plants in the country. The results of the program will then be compared to the results from and several mathematical models, such as the Gauss-Jordan, M-Method, and Two-Phase Methods to verify its results. © 2021 IEEE.
ABSTRACT
The Philippines' Land Transportation Office (LTO) has the task of evaluating and processing citizen's applications for driver's license for professional and non-professional purposes. The office sees many customers each day and the need for an efficient waiting sitting was needed. Several process optimization and productivity improvements will be discussed in this research. Improvements along the lines of robotic process optimization, social media bots, existing efficient and effective processes, and the like, will be considered in developing suggestions for optimizing waiting line management in the LTO. In addition, existing congestion surveillance methods are explored to consider more solutions. The LTO currently implements a multi-channel, multi-phase line management system for all branches in the country. The research aims to evaluate its effectiveness in processing new driver's license applications in the National Capital Region within a set period of days. The system has proven inefficient based on recent data taken between 2019-2020 [1], even considering the decline in applications because of the COVID-19 pandemic. There is an expected spike in citizens applying for driver's licenses once the quarantine restrictions are lifted entirely, and an effective waiting line management system will be needed. A solution can be created by taking inspiration from efficient process systems from the United States and United Kingdom. © 2021 IEEE.