Wasit Journal of Computer and Mathematics Science

Tracking and monitoring systems are a necessity and are widely used in various industries and fields
for security and supervision purposes. Particularly in vehicle monitoring perspectives, it is considered a sophisticated
technology that is conducted and designed to monitor and manage the location and status of the vehicles in real-time
settings. Different methods are employed to ensure monitoring and tracking, also to enhance robustness and security.
These methods include onboard devices, GPS, and cellular networks. Therefore, this paper’s hardware aspect consists of a very reliable, compacted, reasonable priced tracking device mounted on vehicles or any trackable bodies, this
device is connected to the web application databases, the web application has databases for users and their
information, irregularities, and maps where each user is marked on the map with the real-time position. The proposed
system used an Arduino-based ESP8266 microcontroller and a NEO-6M-Ublox GPS receiver module we can receive
the latitude and longitude from satellites then send the information via WIFI to a Database where this data will be
processed to not only mark the exact real-time location but also saving these locations in case of any irregularities, do
other helpful functions. The experimental results have shown that a low-cost tracking system managed by an easy-touse
Web application. Although the error range for the system is about (8-10) meters, depending on weather and terrain,
many companies can make great use of such systems, fleet companies, taxi companies, delivery companies, and
vehicle rental companies.

An important planning tool is linear fuzzy fractional programming, it is used in various fields such as
business, engineering, and others. We are trying to get one of the direct and effective methods that contain some
arithmetic operations to obtain the optimal real values through which a multi-objective fuzzy linear programming
problem (MOFLFPP) is transformed into a linear programming problem (LPP) through the use of α-cut and Max-
Min technique.
The field of application is Iraqi Light Industries Company and chose the best products that must be protected which
achieved a possible greatest profit ratio to less cost, Where the paper will include two sections, the first is concerned
with describing the data and building the mathematical model for the problem (MOFLFPP) related to the research
problem. The second section deals with trying to solve the model as well as finding the optimal solution, which
represents determining the best and optimal production mix that achieves maximum profits at the lowest costs in light
of the restrictions imposed on the production process, which may limit the company’s ability to provide products in
the required quantity and the right time.
The proposed methodology proved effective in solving multi-objective linear fractional programming problems with
fuzzy coefficients (MOLFPP). While the previous approach produced results between (0.19904, 0.3406), our
technique improved them to (0.2087, 0.3431), demonstrating higher reliability and efficiency with an ε-optimal
unique solution.