 Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris AZied Babai, John E. Boylan, Stephan Kolassa and Konstantinos Nikolopoulos () European Journal of Operational Research, 2016, vol. 252, issue 1, 1-26 Abstract: Supply Chain Forecasting (SCF) goes beyond the operational task of extrapolating demand requirements at one echelon. It involves complex issues such as supply chain coordination and sharing of information between multiple stakeholders. Academic research in SCF has tended to neglect some issues that are important in practice. In areas of practical relevance, sound theoretical developments have rarely been translated into operational solutions or integrated in state-of-the-art decision support systems. Furthermore, many experience-driven heuristics are increasingly used in everyday business practices. These heuristics are not supported by substantive scientific evidence; however, they are sometimes very hard to outperform. This can be attributed to the robustness of these simple and practical solutions such as aggregation approaches for example (across time, customers and products). Keywords: Supply chain forecasting; Forecasting software; Forecasting empirical research; Literature review (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:252:y:2016:i:1:p:1-26 DOI: 10.1016/j.ejor.2015.11.010 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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