In the optimal solution to the Green Grass shipping model, the Miami customer's order is not satisfied. Suppose that Green Grass decides, as a matter of policy, to satisfy each customer's order (at the customer's bid price). How much profit will the company lose from this policy decision
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In the optimal solution to the Green Grass shipping model, the Miami customer's order is not satisfied. Suppose that Green Grass decides, as a matter of policy, to satisfy each customer's order (at the customer's bid price). How much profit will the company lose from this policy decision?
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- Lemingtons is trying to determine how many Jean Hudson dresses to order for the spring season. Demand for the dresses is assumed to follow a normal distribution with mean 400 and standard deviation 100. The contract between Jean Hudson and Lemingtons works as follows. At the beginning of the season, Lemingtons reserves x units of capacity. Lemingtons must take delivery for at least 0.8x dresses and can, if desired, take delivery on up to x dresses. Each dress sells for 160 and Hudson charges 50 per dress. If Lemingtons does not take delivery on all x dresses, it owes Hudson a 5 penalty for each unit of reserved capacity that is unused. For example, if Lemingtons orders 450 dresses and demand is for 400 dresses, Lemingtons will receive 400 dresses and owe Jean 400(50) + 50(5). How many units of capacity should Lemingtons reserve to maximize its expected profit?The Tinkan Company produces one-pound cans for the Canadian salmon industry. Each year the salmon spawn during a 24-hour period and must be canned immediately. Tinkan has the following agreement with the salmon industry. The company can deliver as many cans as it chooses. Then the salmon are caught. For each can by which Tinkan falls short of the salmon industrys needs, the company pays the industry a 2 penalty. Cans cost Tinkan 1 to produce and are sold by Tinkan for 2 per can. If any cans are left over, they are returned to Tinkan and the company reimburses the industry 2 for each extra can. These extra cans are put in storage for next year. Each year a can is held in storage, a carrying cost equal to 20% of the cans production cost is incurred. It is well known that the number of salmon harvested during a year is strongly related to the number of salmon harvested the previous year. In fact, using past data, Tinkan estimates that the harvest size in year t, Ht (measured in the number of cans required), is related to the harvest size in the previous year, Ht1, by the equation Ht = Ht1et where et is normally distributed with mean 1.02 and standard deviation 0.10. Tinkan plans to use the following production strategy. For some value of x, it produces enough cans at the beginning of year t to bring its inventory up to x+Ht, where Ht is the predicted harvest size in year t. Then it delivers these cans to the salmon industry. For example, if it uses x = 100,000, the predicted harvest size is 500,000 cans, and 80,000 cans are already in inventory, then Tinkan produces and delivers 520,000 cans. Given that the harvest size for the previous year was 550,000 cans, use simulation to help Tinkan develop a production strategy that maximizes its expected profit over the next 20 years. Assume that the company begins year 1 with an initial inventory of 300,000 cans.The Fish House (TFH) in Norfolk, Virginia, sells fresh fish and seafood. TFH receives daily shipments of farm-raised trout from a nearby supplier. Each trout costs $2.45 and is sold for $3.95. To maintain its reputation for freshness, at the end of the day TFH sells any leftover trout to a local pet food manufacturer for $1.25 each. The owner of TFH wants to determine how many trout to order each day. Historically, the daily demand for trout is: Demand 10 11 12 13 14 15 16 17 18 19 20 Probability 0.02 0.06 0.09 0.11 0.13 0.15 0.18 0.11 0.07 0.05 0.03 a. Construct a payoff matrix for this problem. b. How much should the owner of TFH be willing to pay to obtain a demand forecast that is 100% accurate? give a clear explanation for (b)
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- The distribution of daily demand for rental trucks at a vehicle rental company is shown in the following table: Relative Frequency Demand 0.07 0 0.14 1 0.15 2 0.14 3 0.12 4 0.08 5 0.3 6 Trucks are rented by the day only and the company makes $14 per rented truck per day. The rental company keeps four trucks at this location. Assuming that the stocking decision is optimal, what is the implied range of excess cost per truck per day? a. 0 and 186 b. 8.58064 and 14 c. 14 and 24.8889 d. 6 and 8.58064 e. 34.2759 and 79.3333The village board of Park City, Utah, arranges for the clearing of all snow in city streets. Weekly snowfall during the winter is normally distributed with a mean of 10 inches and a standard deviation of 4 inches. The board is considering a long term contract with a snow removal company. The long- term contract costs $1000 per truck per week. Thus, if the board signs a long-term contract for 12 inches, they pay $12,000 per week whether the trucks are used or not. Each truck is capable of clearing 1 inch of snow per week. If snowfall in a week exceeds the quantity that can be handled by the trucks included in the long term lease, the board must make emergency arrangements at a cost of $2,500 for each additional truck brought in. For how many trucks should the board sign a long term contract?Global Logistics needs to rent space for storing product for the next three years. The following information regarding the demand and spot price is available. Current demand for the product is 150,000. Historically, Global Logistics has required 1500 square feet to store 1500 units of the product. Demand for the product can go up by 20% with a probability of 0.7 or down by 20% with a probability of 0.3. Global Logistics can sign a three-year fixed lease to rent 150,000 square feet of space at $1.00 per square foot per year. The firm may also choose to obtain warehousing space on the spot market. The current spot market price is $1.20 per square foot per year. The spot price can go up by 10% with a probability of 0.8 and can decrease by 10% with a probability of 0.2. The firm receives a revenue of $1.22 for each unit of demand. a) Create a decision tree showing period 0, 1 and 2 for the scenario described above. b) Calculate the NPV for the option when the firm decides to sign a…
- Please show solution and formula used. Assuming the total number of students studying in the top four universities in the Philippines is approximately 158,000. And the distribution is as follows: University of the Philippines (UP) - 40% of the total number Ateneo de Manila University (ADMU) - 23,700 De La Salle University (DLSU) - 25% of the total number University of Santo Tomas - 20% of the total number And only the following number of students owns a tablet computer: 20% of UP students 85% of ADMU students 90% of DLSU students 85% of UST students What is the total market penetration of tablet computers among the students of the top four universities? What is the total market size of tablet computers in the top four universities?Homie Appliance Company operates a branch in Manila City. The following are transactions between the home office and branch for the current year. The home office sends P200,000 cash to the branch. Shipments to branch are billed at cost of P78,750. The Home Office pays branch expense of P3,500. Home office expense of 3,375 are paid by the branch. The branch returned merchandise costing P10,000 to the home office. Home office acquires branch furniture for P20,500 cash. The said fixed asset is carried on Branch Books. The annual depreciation on the branch furniture is 5%. The branch sends a P15,000 cash remittance to home office. Q1-What is the adjusted balance of Branch Current account in the Home Office Books? Q2-What is the adjusted Home Office Current account in the Home Office Books?A quarry uses five types of rocks to fulfill four orders. The gypsum content, availability of each type of rock, and the production cost per pound for each rock, as well as the size of each order and the minimum and maximum gypsum percentage in each order, are given below.Rock type-------Cost-------% gypsum-------Amount Available1-------------------$1.00-----------2.0%-----------5002-------------------$5.00-----------5.0%-----------6003-------------------$5.50-----------4.5%-----------7004-------------------$2.00-----------3.0%-----------4005-------------------$1.20-----------6.0%-----------450 Order No.--------------------1----------2----------3---------4Order Size------------------500------600------500------350Min % gypsum-----------3.5%-----3.8%-----4.0%-----3.6%Max % gypsum----------4.4%-----4.6%-----4.7%-----4.8%What is the cheapest way to fill the orders?