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identify the material requirement lacking and its cause
Using the data, suppose the manufacturer has an inflated demand forecast as follows: Quantity Probability 2,200 5% 2,300 6% 2,400 10% 2,500 17% 2,600 30% 2,700
Jack is a 2nd level manager at Johnson Controls. His department includes 2 supervisors, 5 night shift security guards, 5 technical workers, 10 janitorial staff, and 25 manufacturin
Given forecast errors of 5, 0, - 4, and 3, what is the bias?
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Suggest some possible strategic initiatives that Sigma could pursue to continue its growth
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