Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: R software

Sortuj według:

Ogranicz wyniki do:

Implementation of forecasting tool in the logistics company – case study

Kmiecik Mariusz

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2021

z. 152

119--126

Purpose: The main aim of following article is the implementation and results analysis of created forecasting tool. Created tool is a tool for automated prediction of future demands level in chosen distribution networks where logistics operator is acting as a service provider. Design/methodology/approach: Article shows the conception of created forecasting tool and presents the deviations of forecasts from real values. Findings: Logistics enterprise could implement the forecasting tool to improvement their own activity. However it demands depth assortment analyzing and also it demands supporting the processes of automated forecasting by forecasting processes based on quality and mixed methods. Originality/value: The value of following article is showing the new function of logistics enterprise which is demand forecasting. It could be also a value added activity which logistic operator could offer to their customers.

Forecasting demand for products in distribution networks using R software

Wolny Maciej, Kmiecik Mariusz

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2020

z. 142

107--116

Purpose: This article addresses the issue of forecasting demand for products flowing in a distribution network conducted from the perspective of a 3PL logistics operator. Its purpose is to present a tool based on the R software, which is to be used for automatic forecasting of time series. Design/methodology/approach: The work uses the algorithm of automatic forecasting of time series implemented in the "forecast" package. The algorithm was used in a loop for different lengths of the time series to determine the best length of the series. The minimal RMSE value in the training set and in the test set were considered as optimality criteria. Findings: It is shown that the best time series length is 60 weeks in the considered case. Originality/value: The procedure for selecting the best time window length for forecasting demand for products in distribution network.