Determination of order pattern frequency analysis using the copula method

Abstract

The frequency and voluminosity of orders play a crucial role in determining the operation and scheduling, as well as the bird weight to be supplied to chicken processors. Due to the variability in frequency and voluminosity of each product, part, and size, orders have stochastic characteristics in nature; hence, the proper means to investigate orders is using probability theory and the stochastic process method. In this study, copula distributions were exploited to incorporate chicken order features into frequency analysis. This approach enabled the elucidation of the complex features of order frequency and voluminosity. These probabilistic properties provide useful information for order assessments and can be used for production/chicken supply planning and further scheduling of the industry.