The article "Multi-objective Scheduling Problems: Determination of Pruned Pareto Sets"(H. Taboada and D. Coit, IIE Transactions, 2008:552-564), presents examples in adiscussion of optimization methods for industrial scheduling and production planning. Inone example, seven different jobs were performed on each of five machines. The cost ofeach job on each machine is presented in the following table. Assume that it is of interest todetermine whether costs differ between machines, but that it is not of interest whether costsdiffer between jobs.JobMachine216241822262022B2218302028182612121518221216D1828162634181814141116181012a. Identify the blocking factor and the treatment factor.b. Construct an ANOVA table. You may give ranges for the P-values.Can you conclude that there are differences in costs between some pairs of machines?Explain.d. Which pairs of machines, if any, can you conclude, at the 5% level, to have differingmean costs?C.3,

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MATLAB: An Introduction with Applications

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Author:Amos Gilat

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In an LTL (less-than-truckload) trucking company, terminal docks include casual work- ers who are hired temporarily to account for peak loads. At the Omaha, Nebraska, dock, the minimum demand for casual workers during the seven days of the week (starting on Monday) is 20, 14, 10, 15, 18, 10, 12 workers. Each worker is contracted to work five con- secutive days. Determine an optimal weekly hiring practice of casual workers for the company.
The article "Multi-objective Scheduling Problems: Determination of Pruned Pareto Sets" (H. Taboada and D. Coit, IIE Transactions, 2008:552–564), presents examples in a discussion of optimization methods for industrial scheduling and production planning. In one example, seven different jobs were performed on each of five machines. The means and standard deviations of the processing times for each machine are presented in the following table. Machine Sample Size Mean SD A 25.43 10.67 23.71 13.92 44.57 15.90 D 23.14 12.75 58.00 19.11 Construct an ANOVA table. You may give a range for the P-value. Can you conclude that there are differences among the mean processing times? a. b.
Once QBA 362 final exam is done, it will be time to reward Professor Hong with a well-deserved vacation. As a state employee, professor Hong hasn’t seen a raise since... well, ever.Thus, an important criterion, in fact the most important criterion is to find an exoticregion that can be visited inexpensively. There are three states of nature that could impact costs in these five areas of interest. Professor Hong has determined the average cost per day to visit each region under each of the possible states of nature. This table, which should not be construed as actual vacation advice, appears below. (Remember they are costs. Lower is better. For example, the most optimistic case is the one with lowest cost.) Region Strong Dollar Middling Dollar Weak Dollar Eastern Europe 33 54 57 Southeast Asia 41 56 36 Australia 45 44 58 Galapagos Islands 37 35 26…
The article "A Robust Optimization Approach for the Capacitated Vehicle Routing Problem with Demand Uncertainty" (I. Sungur, F. Ordonez, and M. Dessouky, IIE Transactions, 2008:509-523) discusses methods to reduce transportation costs while satisfying demands. In one study, the percent demand that is unmet (y) and the percent of vehicle capacity (x) needed to meet the expected demand were recorded for 27 different scenarios. The results are presented in the following table. х У 0.5 82 0.0 0.7 1.3 0.8 11 0.9 1.2 1.3 0.2 0.8 1.4 0.9 1.4 0.4 1.7 93 11 93 0.8 90 0.3 0.2 1.0 1.0 89 1.0 93 1.3 91 1.3 94 1.2 94 0.7 Compute the least-squares line for predicting unmet demand (y) from vehicle capacity (X). b. Compute 95% confidence intervals for B, and B,- Predict the unmet demand when the vehicle capacity is 93%. d. a. c. Find a 95% confidence interval for the mean unmet demand when the vehide capacity is 93%. Find a 95% prediction interval for the unmet demand for a scenario whose vehicle…
Suppose you have been hired as a management consultant by a major oil company to help it optimally price gasoline at its service stations. Your client would like your team to perform a study on customers' gasoline purchasing habits when they notice an increase in the price of gas. You have access to the following groups of people: Group Description Number in Group People who have not noticed a gas-price increase 30 People who drive electric cars 35 People who have recently noticed a gas-price increase 80 People who ride their bikes to work 20 People who ride the bus 100 To set up your experiment on how price-increase awareness impacts customer behavior, you would have ______ people in your treatment group and ______ people in your control group.
2 Required information The article "Multi-objective Scheduling Problems: Determination of Pruned Pareto Sets" (H. Taboada and D. Coit, IIE Transactions, 2008:552-564), presents examples in a discussion of optimization methods for industrial scheduling and production planning. In one example, seven different jobs were performed on each of five machines. The means and standard deviations of the processing times for each machine are presented in the following table. Machine Mean SD Sample Size A 25.43 10.67 7 B 23.71 13.92 7 k C 44.57 15.90 7 t D E 23.14 12.75 7 58.00 19.11 7 i < nces Construct an ANOVA table. (Enter your Sum of Squares, Mean Sum of Squares, and F calculations rounded to three decimal places.) Source DF Machine SS MS P F (Click to select) Error Total
The project manager has obtained a non-uniform distribution of resources all along the project. She is trying to smooth the resource histogram to achieve a uniform resource distribution. Based on which condition resource smoothing would be impossible. Resource smoothing is always possible; it depends on project manager's knowledge and experience -O b. All activities are critical O c. Some activities are critical and some are non-critical O d. All activities are non-critical
Assume that the payoff table provides cost rather than profit payoffs. What is the recommended decision using: Optimistic, Conservative, Minmax Regret, And Laplace Method
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A farmer wants to decide which of the three crops he should plant on his 100-acre farm. The profit from each is dependent on the rainfall during the growing seasons. The farmer has categorized the amount of rainfall as high, medium, low. His estimated profit for each is shown in the table. If the farmer wishes to plant only one crop, decide which will be his choice using the EMV rule, prove your judgement by comparing the EMV of each crop. (Indicate the EMV in each crop, comparison and the right choice).
12. Western Pygmy-Possum. The foraging behavior of the west- ern pygmy-possum was investigated in the article “Strategies of a Small Nectarivorous Marsupial, the Western Pygmy-Possum, in Re- sponse to Seasonal Variation in Food Availability" (Journal of Mam- malogy, Vol. 96, No. 6, pp. 1525–1535) by D. Morrant and S. Petit. The weights of adult male pygmy-possums in Australia are normally distributed with a mean of 8.5 g and a standard deviation of 0.3 g. a. Sketch the normal curve for the pygmy-possum weights. b. Find the sampling distribution of the sample mean for samples of size 4. Draw a graph of the normal curve associated with ĩ. c. Repeat part (b) for samples of size 9.
Water scarcity has traditionally been a major concern in the Canary Islands. Water rights are divided into shares, which are privately owned. The article "The Social Construction of Scarcity. The Case of Water in Tenerife (Canary Islands)" (F. Aguilera-Klink, E. Perez- Moriana, and J. Sanchez-Garcia, Ecological Economics, 2000:233-245) discusses the extent to which many of the shares are concentrated among a few owners. The following table presents the number of owners who own various numbers of shares. (There were 15 owners who owned 50 shares or more; these are omitted.) Note that it is possīble to own a fractional number of shares; for example, the interval 2 3 contains 112 individuals who owned at least 2 but less than 3 shares. Number of Shares Number of Owners 18 1-<2 165 2-<3 112 3-<4 87 4<5 43 5-< 10 10-< 15 117 51 15-< 20 32 20-< 25 10 25-< 30 30-< 50 Construct a histogram for these data. Approximate the median mumber of shares owned by finding the point for which the areas on…

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