Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting

Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting

Demand functions for goods are generally cyclical in nature with characteristics such as trend or stochasticity. Most existing demand forecasting techniques in literature are designed to manage and forecast this type of demand functions. However, if the demand function is lumpy in nature, then the g...

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Bibliographic Details
Main Authors: CHOY, Murphy, CHEONG, Michelle Lee Fong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Forecasting
Lumpy
Distribution
Time Series
Computer Sciences
Management Information Systems
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/1437
http://www.saycocorporativo.com/saycoUK/BIJ/journal/Vol5No2/Article_7.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/1437
http://www.saycocorporativo.com/saycoUK/BIJ/journal/Vol5No2/Article_7.pdf

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