A Linear Constraints Based Mathematical Model for Optimizing the Production Plan of a Mask Factory
ISEF · 2021 Mathematics
Overview
The COVID-19 outbreak has caused a huge demand of masks which can effectively protect people from the virus. However, the raw materials of masks are limited in such a short time. Thus, it becomes urgent for the factory owners to conduct a production plan that can get the highest profit via given raw materials. To solve this problem, this project selected a domestic mask factory as the research object. According to the field research, a single-objective multi-factor optimization mathematical model is built. According to the MATLAB simulation data, the mask factory should reduce the production of disposable medical surgical masks to obtain the maximum profit. Based on the long-term development of business, this paper also optimized the model by artificially setting the production requirement of one kind of masks each time. The optimization results successfully provide factory owners with flexible production guidance under different conditions.
Competition history
- ISEF 2021
Resources
Related projects
ISEF · 2022
Solving the Worldwide Mask Pollution Crisis: A Biodegradable High-Performance Low-Cost Mask Made From Natural Polymers
ISEF · 2021
Testing Fabric and Mask Particle Filtration Efficacy
ISEF · 2022
Development of an Engineered Face Mask With Optimized Nanoparticle Layering for Filtration of Air Pollutants and Viral Pathogens
ISEF · 2022
Effect of Isopropyl Alcohol on the Prolongation of Surgical Mask's Lifespan During Covid-19
Closest projects by meaning, across every fair and year in the corpus.
Source: Regeneron International Science and Engineering Fair