Cotton Processing Quality: Cotton, Seed, Lint, Trash
INTRODUCTION
The Cotton is a raw resource for different kind of products: cottonseed, cottonseed oil, cotton fiber, lint, textile products and etc. However, processing of raw cotton is very complex process and requires different steps, operations and inputs. Simultaneously, outputs (cotton products) and price of this products depend on various factors and quality indicators. For instances, moisture level and trash level of raw cotton.
PROBLEM DEFINITION
Outputs of cotton processing depends on different quality indicators which impact price of the product and eventually profit of the company. On the other hand, company supplies raw cotton from farmers based on the initial agreement before planting cotton and pays money based on the quality (trash level and moisture level) after harvesting. Initial agreement includes providing pesticides, irrigation systems, fertilizers, harvesting technologies and other agriculture services, which is calculated on a basis of cultivated land. As a problem, company should decide on the price (supplied raw cotton and output products) and estimate overall profit at the end of production cycles.
DATA & METHODOLOGY
Data used for defining variables and equations was taken from the real life examples of the Cotton Processing Company operated in Azerbaijan. Prices and cost rates were defined based on the averages of existing data. Quality levels were defined based on standards in the cotton processing sector.
Vensim application was used for simulating dynamics of the process.
Following process map indicates general steps of the cotton processing starting from raw cotton and finishing with different cotton products
MODEL
Stock flow diagram of the problem was described in the model below:
Following variables and equations was used in the model: 1. Weather and other natural conditions: This factors are random and uncertain. We can describe them using scale from 0 to 1. In ideal situation (1) all the conditions for fertility will be meet and output from land will be as expected (same as land fertility).
Expression: RANDOM NORMAL( 0 , 1 , 0.7 , 0.05 , 100 )
2. Area of Land: Company works with small, medium and large land owners. Minimum area of land is 100 hectares and maximum is 1000 hectares.
Expression: RANDOM NORMAL( 100 , 1000 , 700 , 50 , 100 )
3. Land fertility: Within range 1.60 and 3.00 tons per hectare.
Expression: RANDOM NORMAL( 1.6 , 3 , 2.4 , 0.1 , 100 )
4. Insects and other disease: This factor is random and uncertain. We can describe them using scale from 0 to 1. In ideal situation (1) all the conditions for fertility will be meet and output from land will be as expected (same as land fertility).
Expression RANDOM NORMAL( 0 , 1 , 0.7 , 0.05 , 100 )
