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Machine learning demand forecasting and supply chain performance
J Feizabadi - International Journal of Logistics Research and …, 2022 - Taylor & Francis
In many supply chains, firms staged in upstream of the chain suffer from variance
amplification emanating from demand information distortion in a multi-stage supply chain …
amplification emanating from demand information distortion in a multi-stage supply chain …
Forecasting practice: a review of the empirical literature and an agenda for future research
An up-to-date overview of empirical studies on forecasting practice is presented. Surveys
and case studies reporting on forecasting practice in industry are identified and their major …
and case studies reporting on forecasting practice in industry are identified and their major …
[CARTE][B] Forecasting and management of technology
AL Porter - 1991 - books.google.com
Forecasting and Management of Technology discusses the planning, operation, analysis
and control of complex technological systems and new technology. The book covers the …
and control of complex technological systems and new technology. The book covers the …
Forecasting: issues & challenges for marketing management
S Makridakis, SC Wheelwright - Journal of Marketing, 1977 - journals.sagepub.com
A framework for relating the available techniques to specific situations. orecasting plays an
important role in every major functional area of business management. In the area of …
important role in every major functional area of business management. In the area of …
Accuracy of forecasting: An empirical investigation
S Makridakis, M Hibon - Journal of the Royal Statistical Society …, 1979 - Wiley Online Library
In this study, the authors used 111 time series to examine the accuracy of various
forecasting methods, particularly time‐series methods. The study shows, at least for time …
forecasting methods, particularly time‐series methods. The study shows, at least for time …
Combining neural network model with seasonal time series ARIMA model
This paper proposes a hybrid forecasting model, which combines the seasonal time series
ARIMA (SARIMA) and the neural network back propagation (BP) models, known as …
ARIMA (SARIMA) and the neural network back propagation (BP) models, known as …
[CARTE][B] Методы прогнозирования экономических показателей
КД Льюис - 1986 - books.google.com
В работе английского учёного излагаются статистические методы краткосрочного и
среднесрочного прогнозирования временных рядов. Основным инструментом …
среднесрочного прогнозирования временных рядов. Основным инструментом …
[CARTE][B] Strategisches Technologiemanagement
B Wolfrum - 2013 - books.google.com
Eine immer schnellere Fortentwicklung des technologischen Erkenntnisstandes beeinfluBt
in er heblichem MaBe die Wettbewerbsverhliltnisse in einer Vielzahl von Branchen …
in er heblichem MaBe die Wettbewerbsverhliltnisse in einer Vielzahl von Branchen …
[CARTE][B] Personalmanagement
R Bühner - 2005 - degruyter.com
Ackermann, K.-F. (1991): Strategisches Personalmanagement in dezentralen Struk- turen, in:
Personalführung, 24, 1991, S. 464-47 Page 1 Literaturverzeichnis Ackermann, K.-F. (1991) …
Personalführung, 24, 1991, S. 464-47 Page 1 Literaturverzeichnis Ackermann, K.-F. (1991) …
[CARTE][B] Time series and forecasting
BL Bowerman, RT O'connell - 1979 - canmedia.mheducation.ca
Duffy Template Page 1 Student Solution Manual Business Statistics in Practice, Third Canadian
Edition © 2014 McGraw-Hill Ryerson Limited. All rights reserved. 1 STUDENT SOLUTION …
Edition © 2014 McGraw-Hill Ryerson Limited. All rights reserved. 1 STUDENT SOLUTION …