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Analysis of Smoothing Techniques: Application to Production-Inventory Systems
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management. Jönköping University, School of Engineering, JTH. Research area Industrial Engineering and Management.
2006 (English)In: Kybernetes, ISSN 0368-492X, E-ISSN 1758-7883, Vol. 35, no 9, p. 1323-1347Article in journal (Refereed) Published
Abstract [en]

Purpose – To provide an overview of how a number of frequently used smoothing-based forecasting techniques can be modelled for use in dynamic analysis of production-inventory systems.

Design/methodology/approach – The smoothing techniques are modelled using transfer functions and state space representation. Basic control theory is used for analysing the dynamic properties.

Findings – A set of expressions are derived for the smoothing techniques and dynamic properties are identified.

Practical implications – Dynamic properties are important in many applications. It is shown that the different smoothing techniques can have very different influences on the dynamic behaviour and therefore should be considered as a factor when smoothing parameters are decided on.

Originality/value – Dynamic behaviour of production-inventory systems can be analysed using control theory based on, e.g. transfer functions or state space models. In this paper a set of models for five common smoothing techniques are analysed and their respective dynamic properties are highlighted.

Place, publisher, year, edition, pages
2006. Vol. 35, no 9, p. 1323-1347
Keywords [en]
Control theory, Cybernetics, Forecasting, Inventory control, Modelling, Smoothing methods
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hj:diva-3071DOI: 10.1108/03684920610662647OAI: oai:DiVA.org:hj-3071DiVA, id: diva2:33891
Available from: 2007-07-09 Created: 2007-07-09 Last updated: 2017-12-12Bibliographically approved

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Wikner, Joakim

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