QUANTECH Flashcards

1
Q

Mathematical technique for finding the best uses of an organization’s resources

A

LINEAR PROGRAMMING

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2
Q

A limit on the availability of resources

A

CONSTRAINT

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3
Q

Expression which shows the relationship between the variable in the problem and firms goals

A

Objective function

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4
Q

The area containing all possible solutions to the problem which are feasible- those solutions which satisfy all the constraints in the problem

A

Area of feasible solution

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5
Q

an efficient method in solving linear programming problem

A

Simplex method

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6
Q

Variable used in linear programming to convert an inequality into an equation

A

Slack variable

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7
Q

Column containing all the variables in a solution in the simple tableau

A

Product mix column

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8
Q

Column in the simplex tableau which contains the profit or cost per unit for the variable in the solution

A

Cj column

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9
Q

Column in any solution to a maximizing problem which has the largest positive value in the cj-zj row or which hast largest negative value in a minimizing problem

A

Optimum column

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10
Q

a row in the simplex tableau which is replaced by the variable entering the new solution

A

Replaced row

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11
Q

elements which are common to both the optimum column and the rows representing variable in the solution

A

intersectional elements

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12
Q

row containing the opportunity costs of bringing one unit of a variable into the solution of a linear programming problem

A

Zj row

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13
Q

Contains the benefit or loss occasioned by bringing one unit of a variable into the solution of a linear programming problem

A

Cj-zj row

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14
Q

computational device used in linear programming to achieve an initial solution to the problem

A

artificial variable

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15
Q

Concerned with the selecting optimal routes between sources and destinations

A

Transportation problem

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16
Q

Special purpose algorithm for solving the transportation problem

A

Stepping stone method

17
Q

Demands equals supply

A

Balanced condition

18
Q

Capacity constraints at sources and destination in a transportation problem

A

Rim requirements

19
Q

systematic and logical procedure for setting up the initial solution to a transportation problem

A

Northwest corner rule

20
Q

represents routes where no quantity between a source and a destination

A

Unused sqaures

21
Q

the net change in cost occasioned by a one unit change in the quantity shipped

A

Improvement index

22
Q

Used squares containing circled values that are in the solution

A

Stone squares

23
Q

Inventory level at which it is appropriate to replenish stock

A

Reorder point

24
Q

Time required for the inventory to arrive at order is placed

25
Q

When available is not sufficient to satisfy demand

26
Q

extra inventory held against the possibility of a stockout

A

Safety stock

27
Q

Incurred each time an order is placed

A

Ordering cost

28
Q

Referred to as holding cost; cost incurred in maintaining inventory

A

Carrying cost

29
Q

Size of the order which minimizes the total annual cost of ordering and carrying inventory

A

Economic order quantity (eoq)