Exam 6: Integer, Goal, and Nonlinear Programming Models

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A goal programming problem assumes that its objective function and constraints are linear.

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A company currently has two factories: F1 and F2,and three retail outlets: R1,R2,and R3.The shipping costs per unit along with the monthly capacity and demand requirements are summarized below: Shipping Cost Per Unit 1 2 3 Supply F1 \3 \2 \4 100 F2 \ 1 \ 3 \5 200 Demand 100 100 200 The firm has decided to build a new factory to expand its productive capacity.The two sites being considered are Philadelphia and Pittsburgh.The estimated shipping costs for the new factories along with their estimated fixed cost and production capacity are summarized below:  A company currently has two factories: F1 and F2,and three retail outlets: R1,R2,and R3.The shipping costs per unit along with the monthly capacity and demand requirements are summarized below:   \begin{array}{l} \text { Shipping Cost Per Unit }\\ \begin{array}{lllll} & \mathrm{R} 1 & \mathrm{R} 2& \mathrm{R} 3&\text { Supply } \\ \text { F1 } &\$3&\$2&\$4&100\\ \text { F2 } & \$ 1 & \$ 3 &\$5&200 \\ \text { Demand } & 100 & 100 & 200 & \end{array} \end{array}   The firm has decided to build a new factory to expand its productive capacity.The two sites being considered are Philadelphia and Pittsburgh.The estimated shipping costs for the new factories along with their estimated fixed cost and production capacity are summarized below:     Which of the new locations will yield the lowest cost in combination with the existing factories and retail outlets? Which of the new locations will yield the lowest cost in combination with the existing factories and retail outlets?

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Consider the following constraint and its associated binary decision variables: XA + XB + XC ≥ 2. This constraint is an example of a mutually exclusive constraint.

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Consider the following linear programming problem: Max: 500A+700B Subject to: 2A+3B\leq35 (assembly hours) 3A+5B\leq40 (machine hours) Reformulate and solve this problem as a goal programming problem if the following prioritized goals must be met.  Consider the following linear programming problem:   \begin{array} { l }  \text { Max: } 500 A + 700 B \\ \text { Subject to: } \\ 2 A + 3 B \leq 35 \text { (assembly hours) } \\ 3 A + 5 B \leq 40 \text { (machine hours) } \end{array}   Reformulate and solve this problem as a goal programming problem if the following prioritized goals must be met.

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Consider the following objective function with prioritized goals: Min: R₁(d₁⁻)+ R₂(d₁⁻). This implies that goal 2 is of higher rank than goal 1.

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A city is reviewing the location of its fire stations.The city is made up of a number of districts,as illustrated below.A fire station can be placed in any district and is able to handle the fires for both its neighborhood and any adjacent neighborhood.The objective is to minimize the number of fire stations used. A city is reviewing the location of its fire stations.The city is made up of a number of districts,as illustrated below.A fire station can be placed in any district and is able to handle the fires for both its neighborhood and any adjacent neighborhood.The objective is to minimize the number of fire stations used.

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The deviational variable dᵢ⁻ typically denotes underachievement.

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Consider the following constraint that needs to be expressed as a goal: 3X₁ + 4X₂ ≤ 11. The correct format is:

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Consider the following linear programming problem: Max: 500A+700B Subject to: 2A+3B\leq35 (assembly hours) 3A+5B\leq40 (machine hours) Reformulate and solve this problem as a goal programming problem if the following goals,stated in no particular order,must be met. Goal 1: Produce at least 15 units of each product. Goal 2: Avoid overtime in the assembly and machine departments. Goal 3: Achieve at least $100,000 in profit.

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Consider the following constraint and its associated binary variables: XA + XB = 1. This constraint is an example of an if-then constraint.

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If a company produces Product A,then it must produce at least 200 units of Product A.Which of the following constraints model this condition?

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The optimal solution to an IP model must be at a corner point of the feasible region.

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The IP solution can sometimes produce a better objective function value than its LP relaxed problem.

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When an objective function contains squared terms,and the problem's constraints are linear,it is referred to as a quadratic programming problem.

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Which of the following statements about nonlinear programming is False?

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Which type of cost is independent of the volume of production?

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The "bin" option is used in Solver to specify general integer variables.

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Mr.Smith,an avid reader,must decide on which books to take with him during a long flight.Mr.Smith will use his carry-on bag,which can hold a maximum of 20 pounds.Mr.Smith has attached a satisfaction index for each book,based on a 5-point scale (1 = low satisfaction,5 =high satisfaction),as shown below. Book Satisfaction Index Weight (lbs.) Marketing 4 4 History 5 3 Statistics 1 3 Management 3 5 Finance 3 4 Economics 2 3 Excel 5 4 Access 4 5 Which books should Mr.Smith take with him on the flight to maximize his satisfaction index?

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Use this information to answer the following questions. A decision maker is provided with 5 different potential projects and must determine which projects to choose.The projects require different amounts of capital and different expected net present values (NPV)over the next three years. Use this information to answer the following questions. A decision maker is provided with 5 different potential projects and must determine which projects to choose.The projects require different amounts of capital and different expected net present values (NPV)over the next three years.    -Determine which set of projects should be selected in order to achieve the maximum net present value if the decision maker has $150,000 available for investment each year. -Determine which set of projects should be selected in order to achieve the maximum net present value if the decision maker has $150,000 available for investment each year.

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Problems which can be stated as an assortment of desired objectives are known as:

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