Based on the E(PW)‚ is the new design preferable to the current unit? Based on a decision tree analysis‚ what is the EVPI? What does the EVPI tell you? Without information‚ the optimal decision is to take the new design‚ shown by the decision tree below |scenarios |Year 0 cost |Year 1 Saving |Year2 Saving | | |Results (j) |p(j) |Decision |Outcome | | |Optimistic |0.30
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MKT B370 (Specimen) SUGGESTED SOLUTION SECTION A Question 1 (a) Students are expected to provide a short discussion including the following content. If too little inventory is maintained‚ there is a risk of stockout and potential lost sales. In addition‚ if there is not sufficient work-in process inventory‚ the production process may become too inefficient‚ raising the cost of production. On the other hand‚ if too much inventory is maintained‚ the carrying cost may become excessively
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and the subsequent marketing‚ distribution‚ and sales of new drugs. This task is better suited for a larger company‚ such as Merck‚ which has more resources and money. 2. Build a decision-tree that shows the cash flows and probabilities at all stages of the FDA approval process. Since the EMV of the decision tree is positive‚ Merck should license Davanrik. From consolidated income statement‚ we could calculate the retained earnings as a percentage of income before taxes. Retained earnings
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Case Study 1: Tree Values Within this case‚ forest landowner Joe Smith was given an offer to sell some of his timber. Within his forest he has a variety of trees‚ according to Karen Benet only a select few of his trees are worth selling. The central problems Mr. Smith faces are how many of his trees he should sell‚ and when he should sell them. According to Ms. Bennett‚ Mr. Smith has 300 trees per acre‚ but only 60 crop trees per acre‚ out of 40 acres. Out of these 60 crop trees‚ 30 are 12”
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CONFIDENTIAL CS/SEPT 2014/QMT339 UNIVERSITI TEKNOLOGI MARA FINAL LAB TEST COURSE : SPREADSHEET MODELING AND DECISION ANALYSIS COURSE CODE : QMT339 EXAMINATION : SEPTEMBER 2014 TIME : 3 HOURS NAME : ____________________________________________________________ GROUP : ____________________ STUDENT ID LECTURER : ____________________________________________________________ : _________________________ INSTRUCTIONS TO CANDIDATES 1. 2. This question paper consists of two part: PART
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The current report serves the purpose of analyzing strengths and weaknesses of existing DOS-based POS terminals used by Zara and providing recommendations as to whether an upgrade is necessary. Methods of analysis include decision tree and SWOT-matrix‚ cost analysis‚ risk assessment‚ along with expert opinions summary from IT-consultants in retail industry. Even though the old POS terminals are easy to install and stable to operate‚ they impose limitations on data interchange capabilities
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appropriate To introduce some widely used quantitative models To introduce software for solving such models. 2 Must-Read Article Inventory • • • • “Decision trees”‚ Robin Greenwood (HBR‚ March 2006) “Note on Linear Programming”‚ Jonathan Eckstein (HBR‚ November 1992) “Sampling and Statistical Inference”‚ Arthur Schleifer (HBR‚ August 1996) “Decision Analysis”‚ (HBR‚ December 1997) 3 Widely used Books for Quantitative Methods • Dance with Chance • Black Swan 4 QUANTITATIVE METHODS CASE
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Assignment 1 - Problem-3 –Chapter-1 of Discovering Knowledge in Data For each of the following meetings explain which phase in CRISP-DM process is represented: a. Managers want to know by next week whether deployment will take place. Therefore analysts meet to discuss how useful and accurate their model is. This is the Evaluation phase in the CRISP-DM process. In the evaluation phase the data mining analysts determine if the model and technique used meets business objectives established in
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an error in the storage systems hosting the data‚ depend on the criticality of the image and the decision tree for which it is being used. An incomplete (lack of detail) image containing crucial referential data can result in decisions being made based on a number of dangerous false positives or false negatives. The following examples‚ illustrate the significant risk from making such decisions based on critical images‚ and possible risks if the appropriate controls are not implemented to avoid
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capacity planning Strategic importance of capacity planning Measuring capacity Economies and diseconomies of scale Determining capacity requirements Use of decision trees in capacity decisions Service capacity management 1 2 2 2 3 4 4 5 Section two — facility location Competitive imperatives impacting on location decision Location decision and location factors Service versus industrial locations Location methods for industrial and service companies Factor rating methods Linear programming Transportation
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