Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Joanna Bruzda"'
Autor:
Joanna Bruzda
Publikováno v:
Economics: Journal Articles (2011)
Externí odkaz:
https://doaj.org/article/7448726aaddd4fc8925da63f68383af7
Autor:
Joanna Bruzda
Publikováno v:
Economics: Journal Articles (2011)
Externí odkaz:
https://doaj.org/article/1b0fec11130c4528bbf91a031651af7a
Autor:
Joanna Bruzda
Publikováno v:
International Journal of Forecasting. 36:1342-1361
We consider computation of demand forecasts fulfilling an assumption about the level of the P 2 service measure in continuous review inventory systems with fixed order quantities and re-order points as decision variables. First, we introduce a family
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cc4c388ccf040214780ee19eb743eaf
https://doi.org/10.1016/j.ijforecast.2020.01.007
https://doi.org/10.1016/j.ijforecast.2020.01.007
Autor:
Joanna Bruzda
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a80d69800df77bc1764659e4f59b3cb4
https://doi.org/10.2139/ssrn.4064956
https://doi.org/10.2139/ssrn.4064956
Autor:
Joanna Bruzda
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346bbc517477ef9143efa43ae33041a2
https://doi.org/10.2139/ssrn.4064943
https://doi.org/10.2139/ssrn.4064943
Autor:
Joanna Bruzda
Publikováno v:
Journal of Forecasting. 39:353-367
In the paper, we undertake a detailed empirical verification of wavelet scaling as a forecasting method through its application to a large set of noisy data. The method consists of two steps. In the first, the data are smoothed with the help of wavel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d58f7833bac1ada105bb15f25c84ffc
https://doi.org/10.1002/for.2634
https://doi.org/10.1002/for.2634
Autor:
Joanna Bruzda
Publikováno v:
International Journal of Production Economics. 208:122-139
In this paper, we re-examine the exponential smoothing model in the context of its use in supply chain and logistics forecasting when supply chain or logistics costs are measured by the doubly linear (LINLIN) loss function of errors of demand forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0254ecfc12ce430328b5f8c1b2dc2474
https://doi.org/10.1016/j.ijpe.2018.11.015
https://doi.org/10.1016/j.ijpe.2018.11.015
Autor:
Joanna Bruzda
Publikováno v:
Central European Journal of Operations Research. 28:309-336
In this paper, we discuss and compare empirically various ways of computing multistep quantile forecasts of demand, with a special emphasis on the use of the quantile regression methodology. Such forecasts constitute a basis for production planning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac2051168ecbf1ee984581c05e0a9f0
https://doi.org/10.1007/s10100-018-0591-2
https://doi.org/10.1007/s10100-018-0591-2