Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Xingxuan Zhuo"'
Publikováno v:
Journal of Management Science and Engineering, Vol 8, Iss 4, Pp 413-429 (2023)
Under the combined effects of inventory-level-dependent demand (ILDD) and trade credit, the retailer is able to order more quantities to stimulate market demand. However, from the supplier's perspective, two important issues are lacking sufficient at
Externí odkaz:
https://doaj.org/article/81c16dc6f5194d6f9d204a3e4d7aa5a2
Publikováno v:
Complexity, Vol 2020 (2020)
Practically, supply disruption may lead production process to entirely halt (completely disrupted) or the output to differ in the order size (partially disrupted), which makes it more difficult for the retailer to satisfy stochastic market demand. Un
Externí odkaz:
https://doaj.org/article/33cd3cf26a50462da51a54cfe16e072f
Publikováno v:
Neurocomputing. 457:84-105
Text of abstract In the big data era, it is common to encounter data observed at different frequencies. This raises the problem of how to explore the heterogeneous nonlinear relationship between variables on mixed sampling frequency data. To this end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7385714b8e3bf5aa2a17d3506acda73
https://doi.org/10.1016/j.neucom.2021.06.006
https://doi.org/10.1016/j.neucom.2021.06.006
Publikováno v:
Journal of the Operational Research Society. 73:1393-1410
Practically, two-level trade credit is usually applied to stimulate the retailer’s order incentive for deteriorating items with expiration date. Nevertheless, previous studies ignore to identify bo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a1951b8bc9dc9ec2bcd828c41726616
https://doi.org/10.1080/01605682.2021.1897484
https://doi.org/10.1080/01605682.2021.1897484
Publikováno v:
Expert Systems with Applications. 118:127-139
In the big data area, a large number of variables are observed at mixed frequencies. How to explore the potential nonlinear pattern hidden in raw mixed frequency data without information loss is a challenging work. To this end, we develop a simple ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adabf1c669673f8943186c7c2dfc98f6
https://doi.org/10.1016/j.eswa.2018.10.013
https://doi.org/10.1016/j.eswa.2018.10.013
Publikováno v:
Communications in Statistics - Simulation and Computation. 50:462-482
We introduce a novel reverse restricted MIDAS (RR-MIDAS) model, which allows us to forecast high frequency data using low frequency information. The RR-MIDAS model is applicable to more general mix...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943ab9504f182e1bee2dc1e67750667c
https://doi.org/10.1080/03610918.2018.1563148
https://doi.org/10.1080/03610918.2018.1563148
Publikováno v:
Complexity, Vol 2020 (2020)
Practically, supply disruption may lead production process to entirely halt (completely disrupted) or the output to differ in the order size (partially disrupted), which makes it more difficult for the retailer to satisfy stochastic market demand. Un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b5ee20b4e271542332c0cd6f4e84879
Group penalized unrestricted mixed data sampling model with application to forecasting US GDP growth
Publikováno v:
Economic Modelling. 75:221-236
To identify important variables at block level in high dimensional mixed frequency data analysis, we introduce a specific type of group penalized function into the U-MIDAS regression framework, and propose a novel group penalized unrestricted MIDAS (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba568aab77ee9648a459548167b75edb
https://doi.org/10.1016/j.econmod.2018.06.021
https://doi.org/10.1016/j.econmod.2018.06.021
Publikováno v:
Omega. 103:102426
In a co-opetitive supply chain, an upstream contract manufacturer (CM) is more likely to not only supply specified products to an original equipment manufacturer (OEM) but also to directly compete with the OEM by offering customers substitutable prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d31965fb468f3b2610e17d2971cf5285
https://doi.org/10.1016/j.omega.2021.102426
https://doi.org/10.1016/j.omega.2021.102426