Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Ulrich W. Thonemann"'
Publikováno v:
Production and Operations Management. 32:1243-1261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25bc9b36909fa1bdd2f3d7a90a08bac0
https://doi.org/10.1111/poms.13925
https://doi.org/10.1111/poms.13925
Publikováno v:
Production and Operations Management. 32:813-828
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9268e5a07fca04453dd3a4ce06acecf9
https://doi.org/10.1111/poms.13900
https://doi.org/10.1111/poms.13900
Publikováno v:
Industrial Marketing Management. 107:134-147
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64b0cc3e0fc9602d4167bc3f6fbae4e5
https://doi.org/10.1016/j.indmarman.2022.09.023
https://doi.org/10.1016/j.indmarman.2022.09.023
The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice
Publikováno v:
Production and Operations Management. 31:3419-3434
Although algorithmic decision support is omnipresent in many managerial tasks, a lack of algorithm transparency is often stated as a barrier to successful human–machine collaboration. In this paper, we analyze the effects of algorithm transparency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6db87c3111d7d18737724bcbeeb7dec8
https://doi.org/10.1111/poms.13770
https://doi.org/10.1111/poms.13770
Publikováno v:
Production and Operations Management, 31(4), 1839-1855. Wiley-Blackwell
Human decision making in the newsvendor context has been analyzed intensively in laboratory experiments, where various decision biases have been identified. However, it is unclear whether the biases also exist in practice. We analyze the ordering dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ae67da68b7e52b9f5ab1791dd49d099
https://doi.org/10.1111/poms.13650
https://doi.org/10.1111/poms.13650
Publikováno v:
European Journal of Operational Research. 295:664-674
Customer churn prediction models using machine learning classification have been developed predominantly by training and testing on one time slice of data. We train models on multiple time slices of data and refer to this approach as multi-slicing. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c9b2038d5217fb55d4cfff078a85203
https://doi.org/10.1016/j.ejor.2021.05.035
https://doi.org/10.1016/j.ejor.2021.05.035
Publikováno v:
Transportation Science. 55:1392-1410
We analyze a tactical freight railway crew scheduling problem, when train drivers must be informed several weeks before operations about the start and end times and locations of their duties. Between informing the train drivers and start of operation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed941c288992f1e23535d9868e5caef0
https://doi.org/10.1287/trsc.2021.1073
https://doi.org/10.1287/trsc.2021.1073
Publikováno v:
Transportation Science.
In crew scheduling, optimization models can become complex when a large number of penalty terms is included in the objective function to take planners’ preferences into account. Planners’ preferences often include nonmonetary aspects for which bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be3ab853f0a2b288bb727e658b10723c
https://doi.org/10.1287/trsc.2022.1196
https://doi.org/10.1287/trsc.2022.1196
Autor:
Ulrich W. Thonemann, Felix Papier
Publikováno v:
Operations Research. 69:1368-1395
Sales and operations planning processes are used to align production quantities and customer demand. Two key activities of these processes are demand planning and production planning, which are often assigned to individuals in different departments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0d48b901000d0a50a6bce5c52fd698
https://doi.org/10.1287/opre.2020.2068
https://doi.org/10.1287/opre.2020.2068
Publikováno v:
Production and Operations Management. 30:1386-1405
Inventory optimization approaches typically optimize steady-state performance, but do not consider the transition of an initial state to the optimized state. In this study, we address this transition. Our research is motivated by a company that imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79ba0cdc34020bcda84fbfb155b08239
https://doi.org/10.1111/poms.13327
https://doi.org/10.1111/poms.13327