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$20.00 Decision analysis and probabilities, please help i will pay anythingi don't care just help me

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this is for my I-S class but it is about probabilities
1- a food company runs a computerized processing plant and needs to formulate a series of decision rules to advise its managers on how they should react if the control panel indicates particular problems with the system. because there is always a possibility that an indicated problem is in fact caused by a fault in the control panel itself, there is some concern that unnecessary losses will be incurred if production is halted because of a non-existent problem.
light number 131 will illuminate on the panel if the computer detects that packs of a frozen food are being filled to below the legal weight. however, it is known that there is a .15 probability that this light will give a false alarm. in the event of this light illuminating the manager would have to decide wether or not to gather further info before making a decision on wether to stop production immediately. any stoppage would cost an estimated $150,000, but a decision to ignore the light would lead to losses of $300000 if the bags being filled on the automatic production line really were underweight.
if the manager decides to gather further info before taking the decision on wether to stop production then this will involve taking a sample from output and weighting the selected packs. this will render the sampled packs unsaleable and cost the company $5000. the sample will indicate wether or not there is a fault in production, but there is a 0.2 probability that it will give misleading results. despite this it has always been company policy to take a sample because of the small cost of sampling relative to the other costs.
A)if the company's objective is to minimize expected costs, formulate a decision rule, which will tell the duty manager how to react when light 131 illuminate?
b) explain the rationale behind your recommended decision rule in non-technical terms?
c) explain the role which sensitivity analysis could have in this problem?
 


   
   
   
   
 
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cxxliu
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$20.00 decision analysis

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  • Posted on Apr 17, 2008 at 12:34:12PM
A:
Preview: ... ht, we don't lose anything.<br>If we take a sample, the cost is 5000. With probability 0.2, the sample indicates a fault, leading to an extra loss of 150000. So the total expected cost is 5000 + 0.2*150000 = 35000.<br>Case 2: Alarm is real (i.e. underweight)<br>If we ignore the light, the loss is 300000.<br>If we take a sample, the cost is 5000. With probability 0.2, the sample indicates no fault, leading to an extra loss of 300000. With probability 0.8, the sample indicat ...

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$25.00 Decision tree drawn - rationale and sensitivity explained

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  • Posted on Apr 17, 2008 at 1:36:12PM
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Preview: ... <br>See attached file <br><br>The terminal branches show the cost incurred for the decision.<br><br>Expected cost incurred can be calculated by folding back the tree.<br><br>Expected cost for a false alarm with sampling<br>= 0.20 x 155000 + 0.80 x 5000<br>= 35000<br><br>Expected cost for a false alarm with sampling<br>= 0.80 x 155000 + 0.20 x 305000<br>= 185000<br><br>This is shown in the reduced decision tree.<br> <br>See attached file<br><br>Expected cost in case of an ...

The full tutorial is about 385 words long plus attachments.

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Decisions.doc (44K)
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$19.00 Decision Analysis with Fault Tree

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  • Posted on Apr 17, 2008 at 3:59:48PM
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Preview: ... a loss of sales<br><br> Light Turns on<br><br> Stop Production Ignore Problem<br> $150,000 loss No problem $300,000loss<br>Conduct Sample Don’t Sample <br>$5,000 loss<br><br>Clearly, from this diagram, it is clear what should be done. The light turns on 15% of the time when there is no issue. Still, the potential loss from a false alarm is nowhere near the potential loss if a problem is ignored. In other words, let’s assume that the light turns on 100 times in a year. 15 of those times, there is a false alarm and there is no ...

The full tutorial is about 459 words long plus attachments.

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Decision Analysis.doc (22K)
   
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