| dc.description.abstract | The majority of businesses often figure out how to provide high-quality products
that meet client wants while keeping overall costs down to a minimum. Particularly
when a startup faces a manufacturing-focused corporation (the yogurt sector in this
example) and has little cash to develop, higher quality requirements are needed than
ever before. Additionally, professionals and researchers may now apply these strategies
to a number of goods, such labor- and time-optimized manufacturing schedules and
cost-of-living optimization, to develop sensitive product properties, thanks to the
expanding capability of Artificial Intelligence. item. The goal of this paper's suggested
Mixed Integer Linear Programming (MILP) model is to achieve optimal production
planning on a single yogurt manufacturing line. This model incorporates all common
production planning restrictions, such as inventory limitations, labor shifts, machine
capacity, materials balance, and manpower restraints. Additionally, it takes into account
unique characteristics of yogurt manufacturing, such as constraints in the production
sequence primarily brought about by the yogurt's fat content and variety of tastes.
Products differ, and the order affects setup expenses and times. The goal function is
minimized while taking into account all of the primary sources of variable costs—
labour, inventory, and conversion costs—that are dependent on the production schedule.
In order to achieve these research goals, the present study proposes an
optimization timetable for the factory's yogurt manufacturing process. This study
applies the production solution to Yogurt Company, a recently established dairy firm.
The manufacturing sector is figuring out how to be successful in this market | en_US |
