Exam 6: Distribution and Network Models
Exam 1: Introduction53 Questions
Exam 2: An Introduction to Linear Programming56 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution44 Questions
Exam 4: Linear Programming Applications in Marketing, finance, and OM52 Questions
Exam 5: Advanced Linear Programming Applications39 Questions
Exam 6: Distribution and Network Models62 Questions
Exam 7: Integer Linear Programming52 Questions
Exam 8: Nonlinear Optimization Models45 Questions
Exam 9: Project Scheduling: Pertcpm60 Questions
Exam 10: Inventory Models60 Questions
Exam 11: Waiting Line Models56 Questions
Exam 12: Simulation53 Questions
Exam 13: Decision Analysis80 Questions
Exam 14: Multicriteria Decisions42 Questions
Exam 15: Time Series Analysis and Forecasting53 Questions
Exam 16: Markov Processes36 Questions
Exam 17: Linear Programming: Simplex Method45 Questions
Exam 18: Simplex-Based Sensitivity Analysis and Duality32 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems39 Questions
Exam 20: Minimal Spanning Tree19 Questions
Exam 21: Dynamic Programming41 Questions
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A professor has been contacted by four not-for-profit agencies that are willing to work with student consulting teams.The agencies need help with such things as budgeting,information systems,coordinating volunteers,and forecasting.Although each of the four student teams could work with any of the agencies,the professor feels that there is a difference in the amount of time it would take each group to solve each problem.The professor's estimate of the time,in days,is given in the table below.Use the computer solution to see which team works with which project. 

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In a transportation problem,excess supply will appear as slack in the linear programming solution.
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If a transportation problem has four origins and five destinations,the LP formulation of the problem will have nine constraints.
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The network flows into and out of demand nodes are what makes the production and inventory application modeled in the textbook a
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Consider the network below.Formulate the LP for finding the shortest-route path from node 1 to node 7. 

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If a transportation problem has four origins and five destinations,the LP formulation of the problem will have
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Consider a shortest-route problem in which a bank courier must travel between branches and the main operations center.When represented with a network,
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Show both the network and the linear programming formulation for this assignment problem.

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The network below shows the flows possible between pairs of six locations.Formulate an LP to find the maximal flow possible from node 1 to node 6. 

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A foreman is trying to assign crews to produce the maximum number of parts per hour of a certain product.He has three crews and four possible work centers.The estimated number of parts per hour for each crew at each work center is summarized below.Solve for the optimal assignment of crews to work centers. 

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The difference between the transportation and assignment problems is that
(Multiple Choice)
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The maximal flow problem can be formulated as a capacitated transshipment problem and determines the maximum amount of flow (such as messages,vehicles,fluid,etc.)that can enter and exit a network system in a given period of time.
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A transportation problem with three sources and four destinations will have seven variables in the objective function.
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After some special presentations,the employees of AV Center have to move projectors back to classrooms.The table below indicates the buildings where the projectors are now (the sources),where they need to go (the destinations),and a measure of the distance between sites.



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Transshipment problems allow shipments both in and out of some nodes,while transportation problems do not.
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