From: Benjamin E. Hermalin, ph.d. Re: Harvesting Decision I have analyzed your harvesting decision problem. Figure 1 represents your problem in terms of a decision tree. Botrytis [.4] 2 storm [.5] 4 wait 5 no storm 3 [.5] sell as bulk $12,000 + C $42,000 good luck [.4] okay luck [.4] bad luck [.2] $36,000 [.6] no Botrytis 1 bottle $24,000 - R $67,200 $30,000 $34,200 harvest now Figure 1: The harvesting decision represented as a decision tree. In Figure 1, R denotes the monetary value of the
Words: 1529 - Pages: 7
02/14/2015,11:55PM on Moodle Please submit your answers in Moodle as one Word file, named HW3_FirstnameLastname.docx, that includes the complete solution to these problems, including your decision tree and final conclusions about the recommended decision. Please also post the corresponding Excel file that contains the decision trees to these problems, one per worksheet, clearly labeled with the problem number. TOTAL: 100 points 1. The NC Airport Authority is trying to solve a difficult problem with the
Words: 455 - Pages: 2
Freemark Abbey Winery Group ZZZ 1. Construct the decision tree for William Jaeger. 2. What should he do? Jaeger should choose to harvest later and wait for the storm. If the storm does come but destroys the grapes, he can decide whether to bottle wine or not to protect winery’s reputation. In either way, he will gain higher revenues from harvesting later than harvesting immediately: EV of “Do not harvest & Bottling”: $39240 EV of “Do not harvest & Not bottling”: $39240-$12000*0
Words: 535 - Pages: 3
Presenter Notes for Power-point Decision Analysis Task 4A-E A. (Slide 1) Gloria Rodriguez, Shuzworld's retail development specialist, was looking at some possibilities of placing a Shuzworld store into a major target area and has three options to consider. The first option is to build a proposed stand-alone store, the second option is to open an Auburn Mall store, and the third option is to do nothing at the moment. (Slide 2) With the information given from Ms. Rodriguez, the stand-alone store
Words: 3889 - Pages: 16
Online Business Expansion - Task 1 Abstract An online business expansion is the ability to expand or take a business service to a different level. It assists a company to make changes or apply new services where they are needed the most. Also, it provides additional asset relief that did not present prior to the business objectives and proposals. These augmentations allow vendors, producers or manufacturers the advantages to open other stores or provide more and better services to local clients
Words: 6506 - Pages: 27
descriptions across to the reader in greater detail. We will examine four of the writer’s uses of symbolism. The first is actually the title of the play and sets the stage for everything that transpires in the play. The second symbol is the Christmas tree that is brought into the first scene by Nora. The third use of symbolism that Ibsen uses is the macaroons that are only introduced in the first scene. Finally, the Tarantella can be interpreted as one of the most symbolic parts of the whole play.
Words: 921 - Pages: 4
Unit 2: The Concept of Probability Tammie Shaw BUSN311-1204B-08: Quantitative Methods and Analysis 10/14/2012 Irene Tsapara Abstract This paper will provide you with information on how my probability of getting an “A” in this class is very scarce. You will find out how my other classmates would succeed in this class, and how I would use subjective probability later on in life. There will also be examples of businesses that will use subjective probability within their company. Unit 2: The
Words: 678 - Pages: 3
15, no.3, pp.238-249, 2004. Emerald Publishers. An agent-based intelligent environmental monitoring system Ioannis N. Athanasiadis and Pericles A. Mitkas ABSTRACT Fairly rapid environmental changes call for continuous surveillance and on- line decision- making. Two areas where IT technologies can be valuable. In this paper we present a multi-agent system for monitoring and assessing air-quality attributes, which uses data coming from a meteorological station. A community of software agents is assigned
Words: 4327 - Pages: 18
Decision Analysis Case Study FREEMARK ABBEY WINERY Khurram Masood’s section HLCC Consulting Inc. Julian Hong Nicolas Liao Alan Chen Cheng-Chieh Chao Decision Basis Information Probability of rain, mold formation, acidity, sugar level, wine price, reputation value, detector accuracy, spores effectiveness, immigration law Mr. Jaeger’s Alternatives Harvest now or later Use detector or not Buy spores or not Sell in bottle or bulk Mr. Jaeger’s Preferences Prefers more money
Words: 918 - Pages: 4
32)*700 = 25099.8 Total Annual Cost = Annual Holding Cost + Annual Ordering Cost =$50199.6 . Problem 2 Shoe House is a footwear retail chain operating in the Pittsburgh area. The company needs to plan for the upcoming winter and one of the decisions they need to make in the upcoming weeks is regarding how many snow boots to stock. Based on historic demand data, Shoe House estimates that the demand for snow boots to be normally distributed with a mean of 10000 units and a standard deviation of
Words: 2415 - Pages: 10