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|a (DE-627)JST050590529
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|a (JST)40206733
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Syntetos, A. A.
|e verfasserin
|4 aut
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|a Forecasting for Inventory Planning: A 50-Year Review
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|c 2009
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
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|a Forecasting and planning for inventory management has received considerable attention from the Operational Research (OR) community over the last 50 years because of its implications for decision making, both at the strategic level of an organization and at the operational level. Many influential contributions have been made in this area, reflecting different perspectives that have evolved in divergent strands of the literature, namely: system dynamics, control theory and forecasting theory (both statistical and judgemental). Although this pluralism is healthy in terms of knowledge advancement, it also signifies the fragmentation of the OR discipline and the lack of cross-fertilization of ideas to develop more comprehensive approaches towards the resolution of the same issues. In this paper, the relevant literature is reviewed and synthesized to promote some convergence between these different approaches to inventory forecasting and planning. The review concludes with an inter-disciplinary agenda for further research.
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|a Copyright 2009 Operational Research Society Ltd
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|a forecasting
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|a inventory management
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|a system dynamics
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|a control theory
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|a Information science
|x Information analysis
|x Data analysis
|x Time series analysis
|x Time series forecasting
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650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Predictive analytics
|x Analytical forecasting
|x Forecasting models
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|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Statistical forecasts
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650 |
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4 |
|a Economics
|x Macroeconomics
|x Aggregate economy
|x Supply and demand
|x Supply
|x Supply chain management
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
|x Operations research
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650 |
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4 |
|a Business
|x Business information
|x Business forecasting
|x Sales forecasting
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650 |
|
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|a Applied sciences
|x Engineering
|x Control engineering
|x Control theory
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650 |
|
4 |
|a Applied sciences
|x Research methods
|x Modeling
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650 |
|
4 |
|a Business
|x Business administration
|x Business management
|x Inventory management
|x Inventory control
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Predictive analytics
|x Analytical forecasting
|
650 |
|
4 |
|a Information science
|x Information analysis
|x Data analysis
|x Time series analysis
|x Time series forecasting
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Predictive analytics
|x Analytical forecasting
|x Forecasting models
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Statistical forecasts
|
650 |
|
4 |
|a Economics
|x Macroeconomics
|x Aggregate economy
|x Supply and demand
|x Supply
|x Supply chain management
|
650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
|x Operations research
|
650 |
|
4 |
|a Business
|x Business information
|x Business forecasting
|x Sales forecasting
|
650 |
|
4 |
|a Applied sciences
|x Engineering
|x Control engineering
|x Control theory
|
650 |
|
4 |
|a Applied sciences
|x Research methods
|x Modeling
|
650 |
|
4 |
|a Business
|x Business administration
|x Business management
|x Inventory management
|x Inventory control
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Predictive analytics
|x Analytical forecasting
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655 |
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4 |
|a research-article
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700 |
1 |
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|a Boylan, J. E.
|e verfasserin
|4 aut
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1 |
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|a Disney, S. M.
|e verfasserin
|4 aut
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0 |
8 |
|i Enthalten in
|t The Journal of the Operational Research Society
|d Taylor & Francis, Ltd.
|g 60(2009) vom: Mai, Seite s149-s160
|w (DE-627)320465098
|w (DE-600)2007775-0
|x 14769360
|7 nnns
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1 |
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|g volume:60
|g year:2009
|g month:05
|g pages:s149-s160
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|u https://www.jstor.org/stable/40206733
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|d 60
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