Implementing a Forecast Methodology as a Precursor to Lean Management

Goda Zvikaite, Sean Moore, Olivia McDermott

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

Abstract

The paper aims to develop a new forecast methodology to enable an automotive manufacturer to achieve required service level agreements. The research proposes to develop a forecasting model to predict production demand accurately and thus reduce inventory, lead time to customers, improve on-time delivery and save costs. A new forecast methodology facilitated >80% forecast accuracy on distributor shipments to end customers and thus improved the manufacturer’s response to customers. The researcher shifted focus from a system driven to actual customer demand-based forecast by focusing on distributor shipments to customers rather than bookings placed with the manufacturer. It was discovered that any forecasting methodology would fail unless the underlying process were stable. Hence, the forecasting model is an enabler for applying Lean principles to enhance inventory reduction and customer lead time further. It is recommended for future research focus on how Lean tools can impact forecasting and lean manufacturing.

Original languageEnglish
Title of host publicationLean, Green and Sustainability - 8th IFIP WG 5.7 European Lean Educator Conference, ELEC 2022, Proceedings
EditorsOlivia McDermott, Aidan Toner, Angelo Rosa, José Carlos Sá
PublisherSpringer Science and Business Media Deutschland GmbH
Pages151-164
Number of pages14
ISBN (Print)9783031257407
DOIs
Publication statusPublished - 2023
Event8th IFIP WG 5.7 European Lean Educator Conference, ELEC 2022 - Galway, Ireland
Duration: 22 Nov 202224 Nov 2022

Publication series

NameIFIP Advances in Information and Communication Technology
Volume668 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference8th IFIP WG 5.7 European Lean Educator Conference, ELEC 2022
Country/TerritoryIreland
CityGalway
Period22/11/2224/11/22

Keywords

  • Forecasting
  • Inventory
  • Lean

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