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020 ▼a 9780438071568
035 ▼a (MiAaPQ)AAI10868357
035 ▼a (MiAaPQ)OhioLINK:osu1506682418566979
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 658
1001 ▼a Smyth, Kevin Barry.
24513 ▼a An Exploration of and Case Studies in Demand Forecast Accuracy: Replenishment, Point of Sale, and Bounding Conditions.
260 ▼a [S.l.] : ▼b The Ohio State University., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 249 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
500 ▼a Adviser: A. Michael Knemeyer.
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2017.
520 ▼a Forecasts are a critical input that drive actions within the firm and throughout the supply chain. For good reason, there is a tremendous focus on accuracy for this input. This dissertation addresses three areas regarding forecast accuracy in lo
520 ▼a In three essays, we identify governance form factors that affect replenishment forecast deviation and bias, demonstrate accuracy improvement though the inclusion of uncertain weather forecast information in demand forecasts, and identify themes
520 ▼a Each essay expands theoretical understanding of management phenomena, and reframes the manner in which previous research can be applied in practice. In each we also propose future avenues to expand on the work here, and on forecasting in general
590 ▼a School code: 0168.
650 4 ▼a Business administration.
690 ▼a 0310
71020 ▼a The Ohio State University. ▼b Business Administration.
7730 ▼t Dissertation Abstracts International ▼g 79-10A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000185 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자