Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting

• 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
• Institution: Singapore Management University

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...