New challenges and opportunities in flexible and robust supply chain forecasting systems

Pei Chann Chang*, Yi-Kuei Lin

*Corresponding author for this work

Research output: Contribution to journalEditorial

3 Scopus citations

Abstract

The 2010 Special Issue of International Journal Of Production Economics, titled Flexible and Robust Supply Chain Forecasting Systems, focused on the new and significant results on developing flexible and robust supply chain forecasting systems under dynamic market demands. A distinguished speaker showcased his presentation on multi-generation diffusion model for semiconductor product demand forecast, incorporating seasonal factor, market growth rate, price, repeat purchases, technology substitution, in which the nonlinear least square method is employed for parameter estimation. Another presentation focused on the optimal carrier selection problem based on network reliability criterion. A GA based algorithm that combines the minimal paths and the Recursive Sum of Disjoint Products is developed to determine the optimal carrier selection with the maximal network reliability. Other presentation identified a set of demand factors influencing the sales of a leading soft drink company in the UK that uses structural equation modeling and confirming the role of the promotional factors in the sales uplift for all products.

Original languageEnglish
Pages (from-to)453-456
Number of pages4
JournalInternational Journal of Production Economics
Volume128
Issue number2
DOIs
StatePublished - 1 Jan 2010

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