Forecasting production volume in a plastics enterprise

  • Małgorzata Grzelak Military University of Technology
Keywords: multiple regression model, production scheduling, readiness, forecasting

Abstract

The functioning of production enterprises is based on satisfying the needs of customers through the timely manufacture of products in accordance with the demand existing on the market. The availability of the offered range of products is guaranteed by a correct preparation of forecasts of potential orders. This article presents a multiple-regression-method-based tool supporting the planning of production volumes in an enterprise depending on the calendar month. Reliability analysis of the developed model through the analysis of residuals and their autocorrelations and partial autocorrelations is also presented.

JEL classification: C2, C22.

References

Bielińska E. (2007). Prognozowanie ciągów czasowych, Gliwice: Wydawnictwo Politechniki Śląskiej.

Borucka, A. (2013). Analiza polskiego transportu samochodowego, Systemy Logistyczne Wojsk, 39, 13-23.

Borucka, A. (2018). Analysis of the effectiveness of selected demand forecasting models, Współczesna Gospodarka, 2(9), 41-55.

Borucka, A. (2018). Application of ARIMA Models for the Analysis of Utilization Process of Military Technical Objects, Logistyka i Transport, 1(37), 13-22

Borucka, A. (2018). Forecasting of fire risk with regard to readiness of rescue and fire-fighting vehicles, Interdisciplinary Management Research XIV, Croatia, 397-395.

Borucka, A. (2013), Funkcjonowanie wojskowych oddziałów gospodarczych w nowym systemie logistycznym sił zbrojnych, Logistyka, 6, 39 - 48.

Borucka, A. (2018). Markov models in the analysis of the operation process of transport means, Proceedings of the ICTTE International Journal For Traffic And Transport Engineering Conference, Belgrad, 1073-1082.

Borucka A. (2014). Przewóz osób w Polsce w świetle zmian legislacyjnych, Logistyka, 6, 468-475.

Borucka, A. (2018). Risk Analysis of Accidents in Poland Based on ARIMA Model, Transport Means. Proceedings of the 22nd International Scientific Conference part I, Lithuania, 162-166.

Borucka, A. (2018). Three-state Markov model of using transport means, Business Logistics In Modern Management, Proceedings of the 18th International Scientific Conference, Croatia, 3-19.

Borucka, A., (2018). Model of the operation process of aircraft in the transport system, Proceedings of the ICTTE International Journal For Traffic And Transport Engineering Conference, Serbia, 22-30.

Brzeziński M., Kijek M., Głodowska K., Owczarek P., Zelkowski J., Bartosiak P., (2018) Aspects of improvement in exploitation process of passenger means of transport, Journal of Advanced Transportation, 335-350.

Cieślak M. (2001), Prognozowanie gospodarcze, Warszawa: Wydawnictwo PWN.

Czyżycki R., Klósk R. (2011), Ekonometria i prognozowanie zjawisk ekonomicznych w przykładach i zadaniach, Szczecin: Economicus.

Mikosz, B., Borucka, A. (2008), Organizacja gospodarki odpadami w siłach zbrojnych na tle zmian militarnych i nowych wyzwań stawianych polskiej armii, Gliwice: Archiwum Gospodarki Odpadami i Ochrony Środowiska, 8, 1-12.

Mitkow, Sz., Borucka, A. (2018), Mathematical model of travel times related to a transport congestion: an example of the capital city of Poland – Warsaw, Business Logistics In Modern Management, Proceedings of the 18th International Scientific Conference, Croatia, 501-526.

Sokołowski A. (2016), Prognozowanie i analiza szeregów czasowych, Materiały szkoleniowe, Kraków: StatSoft Polska.

StatSoft (2006), Elektroniczny Podręcznik Statystyki PL, Krakow, WEB: http://www.statsoft.pl/textbook/stathome.html.

Skoczyński, P., Świderski, A., Borucka, A. (2018), Characteristics and Assessment of the Road Safety Level in Poland with Multiple Regression Model, Transport Means, Proceedings of the 22nd International Scientific Conference part I, Lithuania, 92 – 97.

Szczepański, E., Jacyna-Gołda, I., Świderski, A., Borucka, A. (2019) Wear of brake system components in various operating conditions of vehicle in the transport company, Eksploatacja i Niezawodność – Maintenance and Reliability, 1(21), 1-9. dx.doi.org/10.17531/ein.2019.1.1

Świderski, A, Borucka, A. (2018), Mathematical Analysis of Factors Affecting the Road Safety in Selected Polish Region, Transport Means, Proceedings of the 22nd International Scientific Conference part II, Lithuania, 651- 654.

Waśniewski, T., Borucka, A. (2011), Sieciowe rozwiązania w łańcuchu dostaw w oparciu o technologię radiowej identyfikacji towarów, Systemy Logistyczne Wojsk, 37, 223 – 233.

Wielgosik, M., Borucka, A. (2016), Istota i znaczenie służby przygotowawczej i szkolenia rezerw, Systemy Logistyczne Wojsk, 45, 51-66.

Żurek, J., Ziółkowski, J., Borucka, A. (2017), A method for determination of combat vehicles availability by means of statistic and econometric analysis, Safety and Reliability. Theory and Applications, ESREL, 2925-2934.

Żurek, J., Ziółkowski, J., Borucka, A. (2017), Application of Markov processes to the method for analysis of combat vehicle operation in the aspect of their availability and readiness, Safety and Reliability. Theory and Applications, ESREL, 2343-2352.

Żurek, J., Ziółkowski, J., Borucka, A. (2017), Research of automotive vehicles operation process using the Markov model, Safety and Reliability. Theory and Applications, ESREL, 2353-2362.

Published
2019-03-31
How to Cite
Grzelak, M. (2019). Forecasting production volume in a plastics enterprise. Contemporary Economy, 10(1 (32), 69-78. https://doi.org/10.26881/wg.2019.1.07