Aggie Power Generation supplies electrical power to residential customers for many U.S. cities. Its main power generation plants are located in Los Angeles, Tulsa, and Seattle. The following table shows Aggie Power Generation's major residential markets, the annual demand in each market (in megawatts or MWs), and the cost to supply electricity to each market from each power generation plant (prices are in $/MW). Distribution Costs City Los Angeles Tulsa Seattle Demand (MWs) Seattle $356.25 $593.75 $59.38 950.00 Portland $356.25 $593.75 $178.13 831.25 San Francisco $178.13 $475.00 $296.88 2375.00 Boise $356.25 $475.00 $296.88 593.75 Reno $237.50 $475.00 $356.25 950.00 Bozeman $415.63 $415.63 $296.88 593.75 Laramie $356.25 $415.63 $356.25 1187.50 Park City $356.25 $356.25 $475.00 712.50 Flagstaff $178.13 $475.00 $593.75 1187.50 Durango $356.25 $296.88 $593.75 1543.75 If there are no restrictions on the amount of power that can be supplied by any of the power plants, what is the optimal solution to this problem? Which cities should be supplied by which power plants? What is the total annual power distribution cost for this solution? If required, round your answers to two decimal places. The optimal solution is to produce MWs in Los Angeles, MWs in Tulsa, and MWs in Seattle. The total distribution cost of this solution is $ . If at most 4000 MWs of power can be supplied by any one of the power plants, what is the optimal solution? What is the annual increase in power distribution cost that results from adding these constraints to the original formulation? If required, round your answers to two decimal places. The optimal solution is to produce MWs in Los Angeles, MWs in Tulsa, and MWs in Seattle. The total distribution cost of this solution is $ . The increase in cost associated with the additional constraints is $
Critical Path Method
The critical path is the longest succession of tasks that has to be successfully completed to conclude a project entirely. The tasks involved in the sequence are called critical activities, as any task getting delayed will result in the whole project getting delayed. To determine the time duration of a project, the critical path has to be identified. The critical path method or CPM is used by project managers to evaluate the least amount of time required to finish each task with the least amount of delay.
Cost Analysis
The entire idea of cost of production or definition of production cost is applied corresponding or we can say that it is related to investment or money cost. Money cost or investment refers to any money expenditure which the firm or supplier or producer undertakes in purchasing or hiring factor of production or factor services.
Inventory Management
Inventory management is the process or system of handling all the goods that an organization owns. In simpler terms, inventory management deals with how a company orders, stores, and uses its goods.
Project Management
Project Management is all about management and optimum utilization of the resources in the best possible manner to develop the software as per the requirement of the client. Here the Project refers to the development of software to meet the end objective of the client by providing the required product or service within a specified Period of time and ensuring high quality. This can be done by managing all the available resources. In short, it can be defined as an application of knowledge, skills, tools, and techniques to meet the objective of the Project. It is the duty of a Project Manager to achieve the objective of the Project as per the specifications given by the client.
Problem 10-07 (Algorithmic)
Aggie Power Generation supplies electrical power to residential customers for many U.S. cities. Its main power generation plants are located in Los Angeles, Tulsa, and Seattle. The following table shows Aggie Power Generation's major residential markets, the annual demand in each market (in megawatts or MWs), and the cost to supply electricity to each market from each power generation plant (prices are in $/MW).
| Distribution Costs | ||||
| City | Los Angeles | Tulsa | Seattle | Demand (MWs) |
|---|---|---|---|---|
| Seattle | $356.25 | $593.75 | $59.38 | 950.00 |
| Portland | $356.25 | $593.75 | $178.13 | 831.25 |
| San Francisco | $178.13 | $475.00 | $296.88 | 2375.00 |
| Boise | $356.25 | $475.00 | $296.88 | 593.75 |
| Reno | $237.50 | $475.00 | $356.25 | 950.00 |
| Bozeman | $415.63 | $415.63 | $296.88 | 593.75 |
| Laramie | $356.25 | $415.63 | $356.25 | 1187.50 |
| Park City | $356.25 | $356.25 | $475.00 | 712.50 |
| Flagstaff | $178.13 | $475.00 | $593.75 | 1187.50 |
| Durango | $356.25 | $296.88 | $593.75 | 1543.75 |
- If there are no restrictions on the amount of power that can be supplied by any of the power plants, what is the optimal solution to this problem? Which cities should be supplied by which power plants? What is the total annual power distribution cost for this solution? If required, round your answers to two decimal places.
The optimal solution is to produce MWs in Los Angeles, MWs in Tulsa, and MWs in Seattle. The total distribution cost of this solution is $ . - If at most 4000 MWs of power can be supplied by any one of the power plants, what is the optimal solution? What is the annual increase in power distribution cost that results from adding these constraints to the original formulation? If required, round your answers to two decimal places.
The optimal solution is to produce MWs in Los Angeles, MWs in Tulsa, and MWs in Seattle. The total distribution cost of this solution is $ . The increase in cost associated with the additional constraints is $ .
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