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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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Copyright (c) 2024 Ou Tang

Application of Transforms in a Compound Demands Process

Authors:

Ou Tang

Keywords:inventory logistics, compound demand, Input-Output analysis

Abstract

The compound distribution is of interest for the study of inventoryproblem, since it provides a more flexible description ofthe stochastic properties of the system compared to many otherapproaches such as renewal processes. However, due to the difficultiesof obtaining analytical results for the compound distribution,such a type of study is usually limited to searching for agood approximation for replacing the complex model. This paperinvestigates the possibility to extend a previous stochastic inventorymodel to cover a compound demand process. Transformmethods again play an imp01tant role in the analysis forcapturing the stochastic prope1ties of the compound distribution.

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How to Cite
Tang, O. (et al.) 1900. Application of Transforms in a Compound Demands Process. Traffic&Transportation Journal. 13, 6 (Jan. 1900), 355-364. DOI: https://doi.org/.

SPECIAL ISSUE IS OUT

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


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