Abstract

This article is focused on the creation of a system for forecasting of future orders for a specific beverage cans manufacturer. The problem comes from the irregular ordering of cans from different customers; not only national companies, but also from companies abroad. This causes fluctuations in production and consequently an irregular transport regime. That is why the beverage can producer demanded a forecasting system that would help to create an annual production plan. The aim is to analyze the ordering process for the last two years and on that basis to create a forecast system of the possible ordering process for the following year. This is necessary for the introduction of regularity of production, because the frequent transitions of the line to another assortment range or other surface printing requires long downtimes due to the technological setting, thus creating large losses due to inactivity of the production line. As drinking habits of final customers reflect the sale of cans, it was expected that sale data would have a seasonable character; this was proved after a brief analysis of the former data. After that, the appropriate forecasting methods were chosen. The methodology was created to combine multiple forecast results into one to increase the forecast objectivity. Forecasting is performed at three different levels: forecasting of assortment, forecasting of region sale and total forecasting of all orders. In spite of the change in market behavior in 2020, due to the pandemic situation in the first wave of the COVID-19 crisis, the sale of beverage cans is expected to stabilize and return to pre-crisis level as early as 2021. Then the forecasting system will fully meet the company’s requirements.

Highlights

  • The presented case study is from a period when there was a relatively calm situation on the international markets

  • Frequent changes in the range, and especially the printing, create significant losses for downtime of production lines because they require time-consuming and technologically demanding preparations for change, testing and commissioning of the production line for a new print or product. These losses could be mitigated by sale analysis and the subsequent application of a planning model [1,2] based on forecasting methods for better estimation of future orders

  • In the case of beverages, the seasonality of the consumption of beverage cans was expected, but as there was no in-depth analysis of this market behavior, the company could not indicate to what level it is reflected in the ordered quantities of particular assortments

Read more

Summary

Introduction

The presented case study is from a period when there was a relatively calm situation on the international markets. Frequent changes in the range, and especially the printing, create significant losses for downtime of production lines because they require time-consuming and technologically demanding preparations for change, testing and commissioning of the production line for a new print or product. These losses could be mitigated by sale analysis and the subsequent application of a planning model [1,2] based on forecasting methods for better estimation of future orders. In the case of beverages, the seasonality of the consumption of beverage cans was expected, but as there was no in-depth analysis of this market behavior, the company could not indicate to what level it is reflected in the ordered quantities of particular assortments

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.