Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
- 2.
A craft brewery is considered a micro brewery when producing less than 15,000 barrels (ca. 17900 hL) per year.
- 3.
- 4.
- 5.
References
Bahl, H.C., Gupta, J.N., Elzinga, K.G.: A framework for a sustainable craft beer supply chain. Int. J. Wine Bus. Res. Online 33, 394–410 (2021)
Baiano, A.: Craft beer: an overview. Comprehensive Rev. Food Sci. Food Safety 20(2), 1829–1856 (2021)
Burns, C.S., Heyerick, A., De Keukeleire, D., Forbes, M.D.E.: Mechanism for formation of the lightstruck flavor in beer revealed by time-resolved electron paramagnetic resonance. Chem. Eur. J. 7(21), 4553–4561 (2001)
Calatayud, A., Mangan, J., Christopher, M.: The self-thinking supply chain. Supply Chain Manage. Int. J. 24(1), 22–38 (2019)
Capitello, R., Todirica, I.C.: Concepts and practices of sustainable craft beer in Italy: a case study analysis. In: Case Studies in the Beer Sector, pp. 313–326. Elsevier (2021)
Clemons, E.K., Gao, G.G., Hitt, L.M.: When online reviews meet hyperdifferentiation: a study of the craft beer industry. J. Manag. Inf. Syst. 23(2), 149–171 (2006)
Edali, M., Yasarcan, H.: A mathematical model of the beer game. J. Artif. Soc. Soc. Simul. 17(4), 1–2 (2014)
Grunde, J., Li, S., Merl, R.: Craft Breweries and Sustainability: Challenges, Solutions, and Positive Impacts. Master’s thesis, Blekinge Institute of Technology, Karlskrona, Sweden (2014)
Kawa, A., Łuczyk, I.: CSR in supply chains of brewing industry. In: Golińska, P., Kawa, A. (eds.) Technology Management for Sustainable Production and Logistics, pp. 97–118. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-642-33935-6_5
Kuchel, L., Brody, A.L., Wicker, L.: Oxygen and its reactions in beer. Packag. Technol. Sci. 19(1), 25–32 (2006)
Lee, H.L., So, K.C., Tang, C.S.: The value of information sharing in a two-level supply chain. Manage. Sci. 46(5), 626–643 (2000)
Miller, S.R., Sirrine, J.R., McFarland, A., Howard, P.H., Malone, T.: Craft beer as a means of economic development: an economic impact analysis of the michigan value chain. Beverages 5(2) (2019)
NABCA Research: The three-tier system: A modern view (2015). www.nabca.org/sites/default/files/assets/files/ThreeTierSystem_Mar2015.pdf
Ness, B.: Beyond the pale (ale): an exploration of the sustainability priorities and innovative measures in the craft beer sector. Sustainability 10(11) (2018)
Ouyang, Y.: The effect of information sharing on supply chain stability and the bullwhip effect. Eur. J. Oper. Res. 182(3), 1107–1121 (2007)
Stewart, G.: Beer shelf life and stability. In: Subramaniam, P. (ed.) The Stability and Shelf Life of Food, pp. 293–309. Woodhead Publishing Series in Food Science, Technology and Nutrition, Woodhead Publishing, 2nd edn. (2016)
Strozzi, F., Bosch, J., Zaldívar, J.: Beer game order policy optimization under changing customer demand. Decis. Support Syst. 42(4), 2153–2163 (2007)
Thomsen, J.S., Mosekilde, E., Sterman, J.D.: Hyperchaotic phenomena in dynamic decision making. In: Mosekilde, E., Mosekilde, L. (eds.) Complexity, Chaos, and Biological Evolution. NAS, vol. 270, pp. 397–420. Springer, New York (1991). https://doi.org/10.1007/978-1-4684-7847-1_30
Warsing, D.P., Jr., Wangwatcharakul, W., King, R.E.: Computing base-stock levels for a two-stage supply chain with uncertain supply. Omega 89, 92–109 (2019)
Wells, P.: Economies of scale versus small is beautiful: a business model approach based on architecture, principles and components in the beer industry. Organization Environ. 29(1), 36–52 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Grassel, J., Keller, A.C., Hill, A., Schulte, F. (2021). The Craft Beer Game and the Value of Information Sharing. In: Mes, M., Lalla-Ruiz, E., Voß, S. (eds) Computational Logistics. ICCL 2021. Lecture Notes in Computer Science(), vol 13004. Springer, Cham. https://doi.org/10.1007/978-3-030-87672-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-87672-2_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87671-5
Online ISBN: 978-3-030-87672-2
eBook Packages: Computer ScienceComputer Science (R0)