Littlefield Technology Game Capacity Essay

Littlefield Technology Game Capacity Essay

The overall game was held more than a week and enabled us to increase our understanding of inventory management on the production stage in the source chain. In this game, the objective was to accomplish production and delivery in the production within just 3 days of lead time. Over the course of the overall game, we were to monitor the production numbers and make modifications through the volume of machines which usually we owned. Machines influenced the profits through the purchases and the target was to get hold of as much earnings as possible. Throughout the game, all of us learnt the right way to analyse the production numbers and story strategies to take on the demand that was constantly changing. Technique Our strategy was to get yourself a stable utilization rate through all devices to prevent taking on any later penalty. By way of example at Day 50, prior to the game started out, we discovered that machine 1 was running by 100% use for a few days before, and predicted a bottleneck condition would happen here. Therefore we decided to purchase yet another machine instantly as the sport started so as to allow continuous processing of lots to meet the demand and prevent losses in revenue. After purchasing additional machine you, we continued observing the utilization of the machine. We were mindful not to get additional devices unnecessarily to ensure that we can gain more income from the curiosity. On day 88, machine 1 strike 100% usage for 4 consecutive days. However , the typical revenue received was still $1000 despite the excessive utilization. Consequently we didn't purchase additional machines at station 1 ) This demonstrated to our prefer as the revenue earned did not drop during this period of the time even though train station 1 use continue to be near to 1 . Furthermore, we extended to earn a higher curiosity than other groups who bought additional equipment. Due to this prepare, we were between the top handful of teams as of this period of time. By day 120, a situation a lot like day 88 began to arise; machine one particular hit fully utilization consistently for 6th days and continue to hit close to completely for the next couple of days. We had thought that all we could tide through that like prior to without the need of an additional machine. Nevertheless , this time round, a bottleneck formed for station one particular and the revenue started to drop quite significantly. Therefore , we all decided that an additional machine is needed in station one particular to prevent further more drop in the revenue. Nevertheless , the purchase of an additional machine did not salvage our situation as the line size for station one particular was too large. During this period, a lot of cash flow was dropped due to our production being unable to meet the 3 days of business lead time. The revenue simply stabilized in day 140 for 2 days just before dipping again. This time, the bottleneck utilized in station three or more and the queue has gone up drastically to about 600 jobs. Consequently , we made a decision to purchase one other machine intended for station 3. With this kind of, our earnings finally stabilised at working day 139. Inside the following days and nights, we continued the strategy of monitoring the earnings, as well as the stations’ utilization and queue size, before selecting whether to buy additional devices. Following this technique, we bought a total of 4 Machine 1s, two Machine 2s and two Machine 3s. As the need fell towards the end with the game, all of us decided to offer off machines at the under-utilized stations to ensure that we could maximize our earnings from the revenue of the devices, as well as gain more curiosity, and maximize our rating before the game ends. Consequently , at the end, i was left with 3 Machine 1s, 1 Machine 2 and 2 Equipment 3s. In the case of station a couple of, which executed steps two and 4 of the creation, we were capable to toggle among three plans: giving top priority to Initial In 1st Out (FIFO), step 2 or perhaps step 4. In the early stages of the video game, the utilization in station 2 maintained by a relatively safe level. Yet , at about working day 120, the average demand began to increase as well as the utilization started to hit totally. It remained at this range until we all made the decision to get an additional machine for the station at day 150. As the performance of station a couple of affects the roles arriving at place 3, the delays in production snowballed and this drastically affected the revenue. Bottom line In hindsight, it is regrettable that we weren't able to maintain our advantage as the leading few groups. We experienced a major setback during the day a hundred and twenty period because of unexpected demand spikes and poor decision making. However , all of us did manage to salvage our situation ultimately and obtained a respectable rank of seventh place. We certainly have learnt that individuals cannot believe the best of any situation and that we must be prepared for abrupt influx of demand and in addition that there is no person size meets all plan. The game imitates a real assemblage scenario. While the strategy helped us gain revenue, the scenario does not comply with particular real life source chain circumstances such as income taxes. All fixed overhead which in turn we have no control, such as salaries,  rent, utilities, and so forth are dismissed. These factors will bring in more difficulties into producing decisions.

Related Essays