Simulating the Impact of Forecast Related Overbooking and Underbooking Behavior on MRP Planning and a Reorder Point System

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

Production Planning and its parameterization is critical to fulfil customer demands and to successfully react on changes in high volatile markets. Therefore, demand updates should be considered to improve production planning. In this paper the performance of two production planning methods MRP (Material Requirements Planning) and RPS (Reorder Point System) are compared in a multi-item single stage system where customer orders are updated in a rolling horizon manner. Applying a simulation study, we investigate the performance of MRP and RPS for biased and unbiased forecast information and discuss the difference in the optimal planning parameters. The study shows that for a production system with underbooking and low demand uncertainty, RPS method is superior, in all other scenarios MRP outperforms RPS. For overbooking scenarios, the results show MRP leads to overall cost improvements ranging from 8 to 30 %.

OriginalspracheEnglisch
Titel2023 Winter Simulation Conference, WSC 2023
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1688-1699
Seitenumfang12
ISBN (elektronisch)9798350369663
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 Winter Simulation Conference, WSC 2023 - San Antonio, USA/Vereinigte Staaten
Dauer: 10 Dez. 202313 Dez. 2023

Publikationsreihe

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

Konferenz

Konferenz2023 Winter Simulation Conference, WSC 2023
Land/GebietUSA/Vereinigte Staaten
OrtSan Antonio
Zeitraum10.12.202313.12.2023

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