The J. Mehta Company\'s production manager is planning a series of one-month pro
ID: 364847 • Letter: T
Question
The J. Mehta Company's production manager is planning a series of one-month production periods for stainless steel sinks. The forecasted demand for the next four months is as follows Month Demand for Stainless Steel Sinks 120 160 220 4 The Mehta firm can normally produce 100 stainless steel sinks in a month. This is done during regular production hours at a cost of $110 per sink. If demand in any one month cannot be satisfied by regular production, the production manager has thre other choices (1) he can produce up to 40 more sinks per month in overtime but at a cost of $130 per sink; (2) he can purchase a limited number of sinks from a friendly competitor for resale (the maximum number of outside purchases over the four-month period is 450 sinks, at a cost of $150 each); (3) Or, he can fill the demand from his on-hand inventory (i.e. beginning inventory). The inventory carrying cost is $10 per sink per month (i.e. the cost of holding a sink in inventory at the end of the month is $10 per sink). There are 40 Sinks in Inventory at the beginning of Month 1 Setup the Production Smoothing problem with the goal of minimizing cost. Regular Production Month 1 Regular Production Month 2 = 100 Regular Production Month 3 = 100 Regular Production Month 4 = 100 abs Overtime Production Month 1 = Overtime Production Month 2 = Overtime Production Month 3 = Overtime Production Month 4 = abs abs Purchases Month 1 = 0 Purchases Month 2 0 absExplanation / Answer
observable experiment, subjects are observed and variables of interest are measured without assigning any treatment to the subjects. Investigator does not have any control on the treatment that individual subjects receive.
For example, 100 men are observed to study the effect of running on blood pressure and body fat
Out of these 50 men have been regularly running an average of 25 - 30 km per week for the last 5 years, whereas the other 50 have not been running at all.
Blood pressure and body fat content of both the groups are measured.
Results are analyzed and conclusion is drawn whether there's a substantial impact of running in keeping blood pressure and body fat under control.
In this experiment, dependent variables are blood pressure and body fat.
Independent variable is average number of km running per week
Factors - no additional factors are considered
An experimental unit is single individual.
Observable experiment can be transformed into a designed experiment by randomly choosing the 100 men. Then divide them into two groups of 50 each. Expose one group to treatment (25-30 km) of running per week. And other group is not exposed to treatment. Measure dependent variables; analyze and interpret the results and draw conclusi
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