Comparing the performance of two different customer order behaviors within the hierarchical production planning

Thomas Felberbauer, Klaus Altendorfer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

10 Citations (Scopus)


A hierarchical production planning structure enables manufacturing systems to handle customer disturbances with different measures on different planning levels. Two different kinds of customer order behavior can be observed and are as well discussed in literature. In the first, being forecast-evolution-behavior, customers provide a forecast quantity for a specific due date for a long horizon in advance and update their forecast quantities periodically. In the second, being customer-required-lead-time-behavior, customers demand stochastic order amounts with a customer-required-lead-time whereby the manufacturing company generates an aggregated forecast, e.g. for product groups. These required lead times are usually shorter than the forecast-evolution-horizon, but order quantities do not further change. For comparing the influence of both order behaviors on a hierarchical production planning system, a simulation study is performed in which logistic performance measures such as service-level, utilization, capacity-, inventory- and tardiness-costs are analyzed with respect to a normalized forecast quality measure.

Original languageEnglish
Title of host publicationProceedings of the 2014 Winter Simulation Conference, WSC 2014
EditorsAndreas Tolk, Levent Yilmaz, Saikou Y. Diallo, Ilya O. Ryzhov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages12
ISBN (Electronic)9781479974863
Publication statusPublished - 23 Jan 2015
Event2014 Winter Simulation Conference, WSC 2014 - Savannah, United States
Duration: 7 Dec 201410 Dec 2014

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Conference2014 Winter Simulation Conference, WSC 2014
Country/TerritoryUnited States


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