Sales and Operations Planning for Delivery Date Setting in Engineer-to-Order Maritime Equipment Manufacturing: Insights from Two Case Studies

Swapnil Bhalla*, Erlend Alfnes, Hans Henrik Hvolby

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstract

Delivery date setting (DDS) is a challenging and competitively critical tactical decision in engineer-to-order (ETO) environments, which requires integrated planning for effective decision-making. Despite the variety of industrial contexts in DDS literature, the maritime equipment industry has been an unexplored context vis-à-vis planning needs for effective DDS. This study uses a sales and operations planning (S&OP) framework to investigate the current state of the DDS process of two maritime equipment suppliers. Findings indicate that the low market demand over the last few years has influenced the DDS process design in the companies, suggesting that the process should be reconfigured to remain effective under periods of high demand. More cases from the maritime equipment industry are needed to assess if the findings are valid across the industry.

OriginalsprogEngelsk
TitelAdvances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings
RedaktørerDuck Young Kim, Gregor von Cieminski, David Romero
Antal sider8
ForlagSpringer
Publikationsdato2022
Sider321-328
ISBN (Trykt)9783031164101
DOI
StatusUdgivet - 2022
BegivenhedIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022 - Gyeongju, Sydkorea
Varighed: 25 sep. 202229 sep. 2022

Konference

KonferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022
Land/OmrådeSydkorea
ByGyeongju
Periode25/09/202229/09/2022
NavnI F I P Advances in Information and Communication Technology
Vol/bind664 IFIP
ISSN1868-4238

Bibliografisk note

Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.

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