As we can see from Tables 6.1-6.5 and Figures 6.1-6.30 of Chapter 6, for the profits between the scenarios for each stat with their respective AAC, the values are very close which they do not show how much value or change the transition matrix can have over the results; therefore, we analyze the value of the inventory levels at the end of the planning horizon (see Tables 6.6-6.35) to see how much Net Value remains for the different scenarios even if the forest managers fulfills the demand. The difference between the scenarios for the independent cases of the demand and the initial inventory, are large as the value starts decreasing from scenario 2: “2 no infestation” to scenario 6: “6 severe infestation”, for all tree species “SAB” and “EPB.” For scenario 1: “1 data-case” most of the cases, the value of the inventory is positioned between the scenarios 3 to scenario 4. The value for tree species “EPN” does not have a higher impact as the SBW does not influence on it. …show more content…
Other aspect that we can see when solving for the deterministic models is that if we obtain different values of the transition matrix even for one phase of infestation, the value of the Net Value is very sensitive as well as the values obtained for the decision variables (see Figure 6.31-6.35).
For instance, the first stage decision about which forest stands we should harvest, varies for each scenario, average transition matrix, and stochastic models. This is due to the susceptibility the trees have over the region to get into SBW
infestation. As we discussed before and highlighted many existing approaches that have not dealt with SBW using Stochastic Programming in Chapter 2, the importance we see on the results is that when we solve for one deterministic model using what if analysis takes longer time as we could have more scenarios and we would not be able to be precise which values of the decision variables we should consider. However, in SP, we consider all the scenarios and we can have the best result of the decision variables as we are facing uncertainty as the model is optimized for the expected value of all the scenarios rather than in the deterministic models we wait until the information arrives and we make a lot of assumptions in the parameters and solutions are different from each other. Even if we find an optimal scenario that finds the best optimal solution, it cannot satisfy or be the best to choose as it is necessary to balance or hedged against the various scenarios under uncertainty. If we get the information of the probability of the transition matrix, then we will choose over scenario per scenario depending on the information received. Then, we expect to have a profit o the expected value after 1/3 of the years of the harvesting planning horizon. This is the situation under perfect information.
If it can be determined that the depressed prices for lean hogs are only temporary, inventories could and should be kept at cost basis. In this case, adjusting prices to match current market prices would not be necessary. Future prices indicate a recovery before the end of the fiscal year. Futures prices will surpass cost in February and remain above cost for the remainder of the fiscal year. The future prices support claims that the price fluctuations are only temporary in nature, and do not reflect a permanent downward shift in hog prices. Since inventories once impaired cannot be marked up to reflect changes in market conditions, this strategy could be beneficial to the company later on. In this case inventory would not be shown on the books at an unfairly low value.
Stocking, A. (2011). Unintended Consequences of Price Controls: An Application to Allowance Markets. Journal of Environmental Economics and Management, 63, 120-136. doi: 10.1016/j.jeem.
b) Logging has impacted this special ecosystem. There are trees that are hundreds of years old and their timber is being pushed to be sold for high prices. After World War 2 the Australian economy was booming and timber was in demand. A number of timber mills where made near the Daintree for the purpose of cutting down the forest for the use in infra...
Tampa is a major business center, which it could explain why the demand rate of weekdays was always higher. Realizing the demand rate was higher, we set a relatively high price during the weekdays because business travelers are not sensitive to price changes. It may due to the fact that they are not paying out from their personal budget and thus tend to get whatever that are available to them without concerning of the price. For this reason, our weekday price fluctuates significantly based on demand forecast. However, we learned to keep the price to $30-32 for the weekends due to a higher volume of leisure customers. They are more price sensitive and we assumed that they are trying to find a better alternative for their vacation. Due
This memo is in regards to the analysis conducted in the financial condition of Gemini Electronics. The company’s liquidity, asset management, debt paying ability, and profitability were assessed. As a result, appropriate recommendations will be given in order for the company to expand.
These values are based on a number of different assumptions. See Exhibit B. The forecast is not without a level of uncertainty. Specifically, there are regulatory decisions where the outcome is not clear at this time. This could impact profit margins plus or minus seven percentage points.
Arrow Electronics is a distributor of electronic parts, including semiconductors and passive components. It was founded in 1935 and has reached number one position among electronics distributors by 1992. Arrow’s North American operations were headquartered in Melville, N.Y. Sales and marketing functions were divided among five operating groups. This case study focuses on the largest of Arrow’s groups, Arrow/Schweber (A/S).
Custom Chip, Inc case describes the situation of a company where lack of coordination and cooperation among different departments is hindering them to achieve their common or ultimate goal as a single business entity. Applications engineering, product engineering and manufacturing are all inclined towards achieving their individual objectives and timelines rather than collaborating and synergizing their efforts in order to attain a common goal of effective production with improved cost reduction. Few of the primary reasons are insufficient and unorganized company policies for coordination and cooperation, poor networking with in the organization especially on management level, lack of communication and influence among managers and VPs, insufficient human resource, and measuring a department's effectiveness solely on its performance based on individual objectives, rather than checking its effects on over all company's performance.
1. Percentage diagram of clear cutting in the Great Bear Rainforest (Beside biodiversity loss of plant species paragraph) (from DSF source)
Though deforestation has increased at an alarming rate throughout the past fifty years, deforestation has been performed during the course of history. According to the World Resources Institute, a majority of the world’s enduring naturally occurring forests are found in Alaska, Canada, Russia and the Northwestern Amazon. Research has demonstrated forests are more likely to be destroyed and repurposed where economic revenues tied to agriculture and pasture are prominent, typically attributed to advantageous weather conditions, or lower expenses of demolishing the forest and delivering merchandises to the global
A company’s profit is affected by the amount of revenue it generates and the costs associated with production. When a company is deciding how much to produce, there are both short-run and long-run production periods. A short run is the current time span during which at least one fixed input must be paid whether or not any output is produced. A long run is a time period far enough into the future that all fixed inputs can be variable. Planning for the future involves looking at all possible situations which will maximize profit and minimize cost.
Here are some recommendations for him to make changes. First, there are some strategies can be used in inventory control. The main problem of the inventory control is unable to respond with the changing demand. It is suggested the shops in Hogsmeadow Garden Centre to place more orders with smaller order batches each time. It is not necessary for the shops to place order in a fixed period of time, at the beginning of the season for Hogsmeadow Garden Centre. It is possible to place orders when the stocks reach minimal stock level, which means the minimal amount of safety inventory that are willing to keep on hand before replenishing the suppliers. (Colleen Rodericks, n.d.) This strategy is particularly beneficial for selling perishable goods, as it can reduce the inventory level of the shops. It enables the shops to lessen the problem of losing money by discounting and throwing away for the perished stocks. At the same time, it is important for the shops to use First-in-first-out (FIFO) method for perishable products. FIFO method means selling the oldest products first, and the selling the new purchased products later. (Colleen Rodericks, n.d.) It is crucial for products with limited-life, like plants. As the oldest products are supposed to perish earlier, it is better to sell them earlier so as to reduce throwing away the perished products. Reducing the order batches and using FIFO method can reduce the products to be thrown, the costs of inventory can be reduced and the profitability of Hogsmeadow Garden Centre can be
Shiao-Yen Wu, L. 1988. Business Planning Under Uncertainty: Quantifying Variability. Journal of the Royal Statistical Society. Series D (The Statistician) Special Issue: Statistical Forecasting and Decision-Making. Vol.37,Iss.2;p.141
Decision point is continuously yielding to the pressures of environment. It is taking advantage of new developments as they occur. It is always adjusting to the state of affairs. It is treading a narrow path between too much action and too little. It is always attempting to adjust towards the desired goals. The amount of action is some function of the discrepancy between goals and observed system status. Let us take an example of very frequently used illustration in materials production pertaining to inventory models. The status of inventory is linked with the production, distributors and retailers. A demand function has been specified in order to generate the orders from the ultimate customers. At each
What is agroforestry? Many people do not know what exactly agroforestry is. The answer is simple. Agroforestry is the combination of trees, crops, and/or livestock into a system which focus on the interactions between the components rather than the components themselves (Sharrow 1997). It is mostly practiced in developing countries where its ability to be used to produce several different outputs is critical to the farmers. Agroforestry is not practiced on the same scale that monoculture agriculture is practiced in the United States. It has several different systems that incorporate the different components in different ways. There are several different applications of agroforestry in the United States, however, silvopastoral agroforestry in the United States is the focus of this paper. Silvopastoral systems combine trees with animal agriculture for several different outputs (Sharrow 2008). It can be used to produce timber outputs such as lumber, pulp, or biomass. It also allows for livestock agriculture outputs to be generated as well. Silvopastoral agroforestry provides many benefits that single resource management cannot provide such as more efficient nutrient use, increased revenue flow, increased diversity, increased resilience, increased livestock productivity, increased tree productivity, increased sustainability and environmental benefits (Cubbage, Balmelli, Bussoni et al. 2012). This paper discusses the benefits that can be provided by practicing Silvopastoral agroforestry in the agroforestry, and the incentives provided by application of Silvopastoral systems in the United States; particularly the benefits associated with livestock productivity and timber production.