The difficulties I had in obtaining my best results when comparing it to the solution we calculated in class had to do with my strategy. My beginning strategy was really no strategy, I just played around with the idling and purchasing. That strategy allowed me to achieve throughput, but did not allow for me to meet the fixed cost. After continually watching the habits of idling and parts that assisted me in finding a better strategy. I noticed that the left A1 machine can only contribute parts to C7. That means I should only buy parts for it when C7 is running. I start by purchasing 50 units in G1. Then double digit numbers in E1 and C1. E1 should always have units running through it because it contributes to both the 100 and 50 products demanded. I always …show more content…
When all the 50 products have gone by red G2 I switch the idle to red C2. Switching to red C2 assists in building parts to go to the 100. I switch blue E2 idle to blue G4 to pull the parts from red G2 that built up to go to the 50 products demanded. I only switch green E4 to C4 when the 50 products decreases to zero products remaining. After the 50 products are taken care of I switch the idle from magenta F7 to C7. Magenta C7 can access part from columns A, C, and E. A1, C4, and E4 have to have parts in them for C7 to run. This part can be difficult because only one green can run while the other run will not get products to it. I found it better to let the time go slow enough to make adjusts to the purchasing and idling. I made my products idle as little as possible. I always made sure the blue was running because they’re the constraints and they produce the most. Column E was the hardest to keep stocked in units due to the fact it gives to both magentas. This strategy allowed me to get my first cash exceeding the fixed expense of 6000. I further exceed the fixed expense cost by 1800 dollars when I changed my strategy
As demonstrated in Exhibit 11, our factory processed 15 orders for materials during the course of the simulation. Had we been able to accurately predict our need for materials at the beginning of the simulation, we could of saved $14,000 through frontloading on inventory and taking advantage of the absence of inventory holding costs. Due to the difficulties of accurately predicting order quantities however, we would have decided to batch our material orders into 2 or 3 batches. Batching material orders would have allowed us to save on fixed order fees and also would have enabled us to respond to order fluctuations with increased/decreased order
Her success has recently come in 2011. My plan is to open a second sleep study in San Antonio, Texas. Roxanne will continue to manage the center in Corpus Christ and will help me virtually manage the San Antonio location. Because Roxanne has the information needed to model her sleep center it will be much easier to open up my own sleep evaluation center based on her proposal.
I took to heart the alternative means of identifying bottlenecks to examine the utilization of equipment. When evaluating these areas I noticed that the sewing machine had the highest utilization, which meant an upgrade needed to take place. Not forgetting that packaging would become an issue too, so taking note of this allowed me to get contracts fulfilled. The mistakes I made were obvious at the beginning, such as not hiring enough of employees, not paying attention to the bottleneck issues, and bidding on contracts before fulfilling the five contracts that were already produced. This caused my reputation and profit to plummet. Finally, remembering not to take contracts without checking if all necessary machines are available is crucial. This week’s simulation has opened my eyes to many details that will be valuable in my business
We decided to decrease the price of mountain bike production from $134 per bike to $108. The difference of $26 for 11,000 units results in a saving of almost $300,000. In the meanwhile, we also decided to dump our finish goods inventory, incurring a loss of $175,000. We decided to increase our capacity from 20,000 to 27,500 and efficiency from 1,000,000 to 2,000,000. We want to avoid increasing capacity significantly in order to avoid low efficiency. At the same time we want to keep our wastage at a minimum. We reduced our retail margin for the bike and sports store to 20% while reducing the discount stores to 27%. These new retail margins
This paper will provide an analysis of 2 production scenarios. We will calculate costs associated with running a production facility. Furthermore, the analysis will be used to provide a basic understanding of how changes in staffing and productivity impact profit and loss.
Revenue maximization:Our strategy main for round one was to focus on maximizing revenue. We did not want the revenue to ever drop from $1000, so we took action based on the utilization rates of the machines. We needed to have sufficient capacity to maintain lead times of less than a day and at most, 1 day and 9 hours. Based on the linear decrease in revenue after a lead time of one day, it takes 9 hours for the revenue to drop to $600 and our profits to be $0. In terms of when to purchase machines, we decided that buying machines as early as possible would be ideal as there was no operating costs after the initial investment in the machine. Having more machines seemed like a win-win situation since it does not
Going into 2004, Bob Moyer planned to produce 10,000 bicycles at Mile High Cycles. Construction of his bicycles includes the utilization of three departments, frames, wheel assembly, and final assembly. During this year, Mile High Cycles ended up actually producing 10,800 bicycles to meet higher than expected demand. Bob is curious as to whether or not he was successful in maintaining costs to meet these higher levels of demand.
Alex comes up with the consensus that the “Goal” of his business and many others is to increase net profit while simultaneously increasing return on investment and their cash flow at the plant. This basically means to make money. These three measurements can be achieved by looking closer into his second set of measurements. Alex specifically must find a way to increase throughput while at the same time decreasing it inventory and operational expenses. All three of these measurements must be cautiously monitored since they all rely on each other to be obtained in balance. Factors that cause throughput, inventory, and operational expenses to become unbalanced are excess manpower and balance capacity of the demand of resources in the market.
However, this system was found to be “ineffective for costing and bidding individual parts.” Id. While some machines produced low cost parts at high volume, other machines were producing high cost parts at low volume, which created cost discrepancies between various machines and thus misallocation of
In this paper I will discuss Macy’s Incorporated by analyzing their business level strategies to determine which I think is the most important to their long term success and if I think it is a good choice. I will analyze their corporate level strategies to determine which I think is the most important and whether or not I believe it is a good choice. I will analyze the competitive environment to determine the corporations’ most significant competitor and compare the two companies’ strategies at each level and evaluate which company I think is most likely to succeed in the long term. Once the
Analyze the business-level strategies for the corporation you chose to determine the businesslevel strategy you think is most important to the long-term success of the firm and whether or
This method did not account for any specific cost arising from the complexity, diversity or other production related specifics of the product line. In contrary, the time-driven ABC approach does account for all the nuances of each product line. From the table can also be inferred that the practical capacity is not totally used since at the end there is a total of $28,288 of unused resources. Table 3 summarizes the capacity utilization of various resources.
Before we can talk about the Strategy Hudson Bay uses we must first answer the the question of what a Corporate and Business Strategy is and how The Bay inaugurates this into their company;
Part of EnerMech’s strategy is to expand its global footprint into the western hemisphere, due to the location of the oil in gas in politically unstable countries for example Brazil and Colombia. Since 2010, oil production has flattened out entirely. In 2013, Brazil averaged only 2.7 million bpd of oil production, which is where it was three years ago. This is due to corruption and money laundering in the major Brazilian oil producing companies. http://oilprice.com/Energy/Energy-General/Problems-At-Petrobras-Mount-As-Brazils-Oil-Production-Stagnates.html Local content legislation is also obstructing production. With