TY - CHAP
T1 - The Craft Beer Game and the Value of Information Sharing
AU - Grassel, Joshua
AU - Keller, Alfred Craig
AU - Hill, Alessandro
AU - Schulte, Frederik
N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
PY - 2021
Y1 - 2021
N2 - The craft beer supply chain in the USA differs from the supply chain of macro breweries in its structure, handled volumes and product shelf-life. In this work, we study how these smaller craft breweries can benefit from transparency in their supply chain. We consider additional information sharing of orders and inventories at downstream nodes. The levels that we investigate grant the brewery incremental access to distributor, wholesaler, and retailer data. We show how this knowledge can be incorporated effectively into the brewery’s production planning strategy. Extending the well-known beer game, we conduct a simulation study using real-world craft beer supply chain parameters and demand. We quantify the impact of information sharing on the craft brewery’s sales, spoilage, and beer quality. Our model is designed to directly support the brewery when evaluating the value of downstream information and negotiating data purchases with brokers. Through a computational analysis, we show that the brewery’s benefits increase almost linearly with every downstream node that it gets data from. Full transparency allows to halve the missed beer sales, and beer spoilage can even be reduced by 70% on average.
AB - The craft beer supply chain in the USA differs from the supply chain of macro breweries in its structure, handled volumes and product shelf-life. In this work, we study how these smaller craft breweries can benefit from transparency in their supply chain. We consider additional information sharing of orders and inventories at downstream nodes. The levels that we investigate grant the brewery incremental access to distributor, wholesaler, and retailer data. We show how this knowledge can be incorporated effectively into the brewery’s production planning strategy. Extending the well-known beer game, we conduct a simulation study using real-world craft beer supply chain parameters and demand. We quantify the impact of information sharing on the craft brewery’s sales, spoilage, and beer quality. Our model is designed to directly support the brewery when evaluating the value of downstream information and negotiating data purchases with brokers. Through a computational analysis, we show that the brewery’s benefits increase almost linearly with every downstream node that it gets data from. Full transparency allows to halve the missed beer sales, and beer spoilage can even be reduced by 70% on average.
KW - Craft beer industry
KW - Information sharing
KW - Production planning
KW - Simulation
KW - Supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85116339784&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-87672-2_15
DO - 10.1007/978-3-030-87672-2_15
M3 - Chapter
AN - SCOPUS:85116339784
SN - 978-3-030-87671-5
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 222
EP - 236
BT - Computational Logistics
A2 - Mes, Martijn
A2 - Lalla-Ruiz, Eduardo
A2 - Voß, Stefan
PB - Springer
T2 - 12th International Conference on Computational Logistics, ICCL 2021
Y2 - 27 September 2021 through 29 September 2021
ER -
