Prof. Larry Navarre presents a topic on the supply
chain management and the Beer Game. He intends to help the supply chain team to
understand the systematic issues experience in the supply chain and apply the
learning from the beer game to improve the effectiveness of their supply chain.
The beer game is a simulation for the roles played in the supply chain and it
lest the participants experience the desired coordination issues of the supply
chain.
The first thing I understand from the beer game presented by Navarre is
that it is designed to capture several challenges in supporting the dynamics of
the chain practices. It challenges the participants to balance the supply and
demand, handle the human factors crucial to the supply chain, address the
bullwhip effect, facilitate communications, and meet the difficulties of the
forecasting demand.
The other thing I understood from the clip is that
the beer game helps in the forecasting. I also understand that even small
changes by the consumer can mean large changes in the supply chain. When these changes take place, a firm can
move swiftly to counter the negative impacts these can have on the entire
supply chain. The firm’s economic activity, as well as the prediction of the
future events and their effects on the company or the supply chain, is possible
when applying the beer game (Forkmann et al., 2012). However, according to
Navarre, the most difficult thing to forecast is high technology innovations
with this game being 80% wrong.
I also understand that the beer game, when used in
the supply chain management can prepare the managers for the expectations of
failure via the lead time and reduction of variations. While the supply chain
managers, executives, and staffs learn of the failures in advance, their can
set the stage to improve the supply chain performance and arrest the
anticipated issues (Chaharsooghi, Heydari,
& Zegordi, 2008). The just-in-time management of the supply chain requires
that all the participants in the chain act proactively to the issues detected
so that they can have a competitive advantage over their rivals. The beer game
can help in the earlier detection of any issues.
In the beer game, the participants “crack the whip.”
The game begins with a steady demand, then the generation of an increase in
demand, that in turn induces variations in the system. The supply chain
participants attempt to compensate, and errors are amplified in the process.
According to the bullwhip effect, the managers who act in isolation with a
little amount of information make decisions that are in turn magnified upstream
leading to stockouts as well as overstocking throughout the chain (Paik &
Bagchi, 2007). I also got to understand the factors leading to bullwhip effect
including the lead time effect on the supply chain, the effect of batch
ordering, the magnification of the impacts of inflated orders, the demand
forecasting inaccuracy, and information and decision isolation.
This video clip was also helpful in helping me
understand the strategies for mitigating the bullwhip. These include the
reduction of uncertainty, reduction of variability, reduction of lead time, and
collaboration. There has to be a good collaboration with the customers and
suppliers, improved forecast accuracy, quick decisions with visibility and
understanding, and reduction of delays in the chain. Also, according to Seuring
and Müller (2008), the keys to effective supply chain management includes
visibility, open communication as well as quick access to the desired
information and insight. They continue to say that, with these attributes in
place, the supply chain is more effective and the risk of excess inventory ad
inventory shortages can be minimized.
References
Chaharsooghi,
S. K., Heydari, J., & Zegordi, S. H. (2008). A reinforcement learning model
for supply chain ordering management: An application to the beer game. Decision
Support Systems, 45(4), 949-959.
Forkmann, S., Wang, D., Henneberg, S. C., Naudé, P., &
Sutcliffe, A. (2012). Strategic decision making in business relationships: A
dyadic agent-based simulation approach. Industrial Marketing Management, 41(5),
816-830.
Kettering
University (2012, June 5). Supply Chain
Management: The Beer Game.
Paik,
S. K., & Bagchi, P. K. (2007). Understanding the causes of the bullwhip
effect in a supply chain. International Journal of Retail &
Distribution Management, 35(4), 308-324.
Seuring,
S., & Müller, M. (2008). From a literature review to a conceptual framework
for sustainable supply chain management. Journal of cleaner production, 16(15),
1699-1710.
Carolyn Morgan is the author of this paper. A senior editor at MeldaResearch.Com in professional academic writing services. If you need a similar paper you can place your order from cheap reliable essay writing service.
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