Demand planning and sales forecasting for motherboard manufacturers considering dynamic interactions of computer products

Chih Hsuan Wang*, Yin Yun

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Demand planning (DP) and sales forecasting (SF) are two critical issues to achieve successful supply chain analytics. Generally, DP refers to determining the aggregate demand for a common component or sub-assembly required by various finished products. In contrast, SF is conducted to estimate sales revenues of the firms. In the past, DP usually focused on optimizing resource allocation while SF is roughly based on historical data. In reality, DP and for the upstream motherboard and SF for the firm closely rely on the estimation of sales volumes of the downstream computer products. Meanwhile, the dynamic interactions between the main competitors significantly influences the performance of SF. To highlight the impacts of demand uncertainties and dynamic interactions, this research presents a novel framework to overcome difficulties: (1) demand uncertainties arising from seasonal variations and cyclic trends in computer products are captured, (2) DP and SF consider the change of product volatility, (3) the dynamic interactions between the MB and computer products are considered to elicit managerial insights. Experimental results show that the presented framework successfully achieves the above-mentioned goals and has potential to be generalized to other industrial components.

Original languageEnglish
Article number106788
JournalComputers and Industrial Engineering
Volume149
DOIs
StatePublished - Nov 2020

Keywords

  • Computer products
  • Forecasting
  • Motherboard
  • Supply chain analytics

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