Simulation game (Beer Distribution Game) to understand the actions of simple and widely use of this system in the Supply Chain Management (SCM). The Beer Game was developed in the 1960s at the Massachusetts Institute of Technology’s (MIT) Sloan School of Management (Sterman‚1989; Senge‚1992)‚ it has been successful to attract the attention of SCM practitioners and academics. The layout of the Beer Distribution Game (BDG) is illustrated in figure 1 below. Figure 1 Beer Distribution Game Layout
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Name: Shabei Qian Team #: 15 Position: Retailor Beer Game Report 1. For the first 3 weeks I just ordered the weekly demand because the demand was low and we had enough inventory. When there was a spike and we had potential stock out‚ I realized that I needed to hold more safety stock‚ I just ordered 2*weekly demand for each week. When there was a back order‚ I ordered the # of back order plus weekly demand. For the first 3 weeks I just ordered the weekly demand because the demand
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levels (/retailer/OEM/warehouse/factory)? Students‚ playing the Beer Game for the first time‚ are typically enthusiastic about feeling the effects of insufficient coordination so drastically. • within levels (logistics/planner) in the supply chain? Different players who all know the demand distribution‚ manage the different stages of the channel. The interface was designed to help us visualize the material and information flows. The game shows effects of missing information exchange and of delays
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Corona Extra has solidified its position as the number one selling beer in Mexico and has reduced the gap on becoming one of the most popular import beers in the United States. These achievements however‚ did not come with little planning. The Grupo Modelo brewery took strategic steps in order for them to produce a product that is in such demand in the United states and the rest of the world. During the 1930s as most other breweries in Mexico were more concerned with providing aid to the war
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Supply Chain Paper Operations Management Root Beer‚ Inc In the first round of the root beer supply chain game there was a lot of confusion‚ mystery‚ and chaos; and the data showed that (Please see separate excel spreadsheet of data with mean‚ standard deviation‚ and variation calculated). Analysis of the data shows a classic bullwhip effect; the customer places an order and order fluctuations build up through the supply chain. You can also see that these effects are magnified as you get farther
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retailer‚ wholesaler‚ distributor or manufacturer for beers. The main obstacle we faced was the uncertainty in forecasting demands‚ which was due to a long lead time (3 weeks from manufacturer to retailer). Objectives Focusing to tackle the problem of demand forecast updating‚ our group sought to keep accumulated costs low which is contributed by holding and backlog costs. Meanwhile‚ reducing the effects of bullwhip effect. Strategy Our team’s strategy was to maintain a certain level of inventory at
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REPORT ON BEER GAME ABOUT LOGISTICS CHALLENGES 1.0 INTRODUCTION The Product Distribution or "Beer Game" is an experiential exercise designed to help decision makers recognize the value of adopt a holistic and self-motivated approach to problem solving. The game was has been played by 4 of us which is retailer‚ wholesaler‚ distributor and factory. The procedure of the beer game involves dividing the players into teams of four who will run a beer industry. We assume the roles of beer retailer‚
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BEER GAME DEBRIEFING The bullwhip effect 28/09/2011 Tiphaine Ribetto – st Perrine Trullemans – st112855 Background: "Beer Game" is a simple simulation of a Make-to-Stock Supply chain. The goal of this game is to minimize cost of capital employed in stock while avoiding out-of-stock situations. The issue here is how to forecast demand accurately. Tiphaine and I assume the roles of beer factory in the production department. As our work does not involve any decision in the order flow
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1888‚ De Beers followed a strategy of supply control. In addition to mining its own diamonds‚ it bought diamonds from other producers and had what it called the "central selling organization‚" controlling some 90% of the world’s diamonds. Its tight control over such a vast amount of supply enabled De Beers to keep prices high for a commodity that is neither particularly scarce nor useful. If a competitor offered diamonds on the market outside of De Beers’ central selling organization‚ De Beers would
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perspective. 1. Introduction 2 2. Game theory introduced 3 2.1 Origins of game theory 3 3.2 Game theory: some notation 4 3.2.1 Players‚ strategies‚ payoffs 4 3.2.2 Simultaneous and sequential games 4 3.3 A sequential move game 5 Figure 10.2 A market entry game 5 3.4 A simultaneous move game 5 3.4.1 The game specified 6 Figure 10.3 A two-player price choice game. 6 3.4.2 Modes of play: non co-operative versus co-operative games 6 3.4.3 The non co-operative solution
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