Question: 3 . 1 5 - Larry Edison is the director of the Computer Center for Buckly College. He now needs to schedule the staffing of
Larry Edison is the director of the Computer Center for Buckly College. He now needs to schedule the staffing of the center. It is open from am until midnight. Larry has monitored the usage of the center at various times of the day and determined that the following number of computer consultants qualified graduate students are required.
Two types of computer consultants can be hired: fulltime and parttime. The fulltime consultants work for eight consecutive hours in any of the following shifts: morning am pm afternoon noon pm and evening pm midnight Fulltime consultants are paid $ per hour.
Parttime consultants can be hired to work any of the four shifts listed in the table. Parttime consultants are paid $ per hour.
An additional requirement is that during every time period, there must be at least two fulltime consultants on duty for every parttime consultant on duty.
Larry would like to determine how may fulltime and parttime consultants should work each shift to meet the above requirements at the minimum possible cost.
a Which category of linear programming problem does this problem fit? Why?
b Formulate and solve a linear programming model for this problem on a spreadsheet.
c Summarize the model in algebraic form.
Two types of computer consultants can be hired: fulltime and parttime. The fulltime consultants work for eight consecutive hours in any of the following shifts: morning am pm afternoon noon pm and evening pm midnight Fulltime consultants are paid $ per hour.
Parttime consultants can be hired to work any of the four shifts listed in the table. Parttime consultants are paid $ per hour.
An additional requirement is that during every time period, there must be at least two fulltime consultants on duty for every parttime consultant on duty.
Larry would like to determine how may fulltime and parttime consultants should work each shift to meet the above requirements at the minimum possible cost.
a Which category of linear programming problem does this problem fit? Why?
b Formulate and solve a linear programming model for this problem on a spreadsheet.
c Summarize the model in algebraic form.
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