Littlefield Technology Game Capacity Essay

The mealy was held over a hebdomad and enabled us to increase our understanding of line pluckment at the action storey in the supply range of a function. In this hazard, the mark was to accomplish occupation and delivery of the exertion within 3 old age of forego clip. Over the course of the game, we were to monitor the proceeds numerates and make adjustments through the number of forges which we owned. cable cars affected the tax tax incomes through the obtains and the goal was to get down as much revenue as possible. Through the game, we learnt how to analyse our production amount and plot strategies to tackle the convey that was eternally changing.StrategyOur strategy was to obtain a stable use of goods and services rate balance-to-end all autos to prevent incurring both late penalty. For example at side touchable sidereal twenty-four hour period 50, forrader the game started, we observed that machine 1 was running at cytosine% use of goods and ser vices for a a couple of(prenominal) solar daylights before, and we predicted a embarrass federal agency would slide by here. Therefore we heady to procure an excess machine immediately as the game started so as to allow continuous processing of lots to insure the contend and prevent losses in revenue. afterward purchasing extra machine 1, we continue observing the utilization of the machine. We were careful non to buy additive machines unnecessarily so that we can earn much revenue from the interest. On day 88, machine 1 hit ascorbic acid% utilization for 4 consecutive days. However, the average revenue acquire was still $ snow0 despite the mettlesome utilization.Therefore we decided not to purchase additional machines at identify 1. This proved to our favour as the revenue get did not drop during this distributor point of time even though station 1 utilization continue to be conclude to 1. Furthermore, we continued to earn a high interest than other teams w ho bought additional machines. overdue to this plan, we were amongst the top few teams at this period of time. At day 120, a slur similar to day 88 began to overtake machine 1 hit 100% utilization continuously for 6 days and continue to hit close to 100% for the next few days. We had thought that we could run through it like before without the fatality of an additional machine. However, this time round, a bottleneck formed at station 1 and the revenue started to drop quite severely. Therefore, we decided that an additional machine is needed at station 1 to prevent and drop in the revenue. However, the purchase of an additional machine did not salvageour situation as the come up size of it at station 1 was too large.During this period, a lot of income was lost due to our production not being able to meet the 3 days of lead time. Our revenue only stabilized on day 130 for 2 days before dipping again. This time, the bottleneck transferred to station 3 and the queue has risen dr astically to about 600 jobs. Therefore, we do the decision to purchase another machine for station 3. With this, our revenue finally strengthen at day 139. In the future(a) days, we continued the strategy of monitoring the revenue, as well as the stations utilization and queue size, before deciding whether to purchase additional machines. Following this strategy, we acquired a correspond of 4 implement 1s, 2 Machine 2s and 2 Machine 3s. As the demand fell towards the end of the game, we decided to shop off machines at the under-utilized stations so that we could increase our revenue from the sales of the machines, as well as gain more interest, and increase our ranking before the game ends.Therefore, at the end, we were left with 3 Machine 1s, 1 Machine 2 and 2 Machine 3s. In the case of station 2, which executed steps 2 and 4 of the production, we were able to toggle between 3 policies giving priority to First In First Out (FIFO), step 2 or step 4. In the azoic stages of th e game, the utilization at station 2 noteed at a relatively safe level. However, at about day 120, the average demand began to increase and the utilization began to hit 100%. It remained at this epitome until we made the decision to purchase an additional machine for the station at day 150. As the performance of station 2 affects the jobs arriving at station 3, the delays in production snowballed and this drastically affected our revenue.ConclusionIn hindsight, it is unfortunate that we were not able to maintain our advantage as the leading few teams. We suffered a major setback during the day 120 period due to unthought-of demand spikes and poor decision making. However, we did manage to salvage our situation in the end and obtained a respectable rank of seventh place. We have learnt that we cannot assume the best of whatsoever situation and that we have to be on the watch for sudden influx of demand and in like manner that there is no one size fits all policy. The game simu lates a real assembly scenario. While the strategy helped us gain revenue, the scenario does not comply with certain real life supply chain conditions such(prenominal) as taxes. All contumacious overhead which we have no control, such as salaries,rent, utilities, etc. are ignored. These factors impart introduce more complexities into making decisions.