Supply and Demand Simulation Thomas Alejandro ECO/365 February 17‚ 2014 Mubarak Laminu Supply and Demand Simulation The supply and demand simulation is based on the management of rental apartments by GoodLife Management in the fictional town of Atlantis. Atlantis is a small city with open spaces‚ low population‚ and a low crime rate. There are plenty of sidewalks and street systems for easy access to the highway. The housing in Atlantis is detached
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Reflection Journal: TEXOIL CASE Summer 2015 For the Texoil negotiation‚ I was assigned the role of the Service Station Owner. As such‚ my main objective was to sell the station and get the best possible agreement. My BATNA was $518‚000‚ which accounted the present and the next two years expenses ($478‚000) plus half of the year salary upon return from the trip ($35‚000). My asking price was 650‚000 explaining to Texoil that the market price was around $800‚000. The benchmark was the cost of constructing
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the seller in the other hand wants profit from us as the buyers. So I considered this as a distributive bargaining zero-sum negotiation where both of us did not get any of what we want‚ or in the other hand let’s say if they agree to negotiate about the price but they did not have many choice but to agree in the price that I offer to them‚ this is a win-lose negotiation where one party’s gain is the other party’s loss. SKILL3.2: There are a few basic step that I need to do to determine or
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Mobile Phone Simulation Pennsylvania State University Team C: Supply Chain Management 301 Professor Jang 05 December 2012 Abstract A simulation of two lines of mobile phones‚ that takes us from design to production and then to yearend sales result. It examines how different design‚ forecast and production affects yearend sales result. Then a board room will provide feedbacks on the result of the sales and productions‚ and what we should watch out for in the future. The simulation shows‚ how
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group dynamics were such that we did not effectively utilize the resources we had‚ and consequently pooled a very limited amount of information. Rather than minimizing our risk‚ we increased it. I attribute much of our group’s failure at this simulation to process loss‚ which is defined as the problems that arise from lack of effective coordination among group members. A number of factors at play could explain the process loss which led to our counterintuitive results. First and foremost‚ one must
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Market Structure Simulation Armani Nelson Professor William Johnson ECO/365 April 24‚ 2012. In the simulation Differentiating between Market Structures I learned about the four market structures‚ which are perfect competition‚ monopoly‚ monopolistic competition‚ and oligopoly. I learned about cost and revenue curves within the market structures and how these structures work within an organization. The simulation also dealt with prisoner’s dilemma‚ price war and duopoly. The prisoner dilemma
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Supply and Demand Simulation Supply and Demand Simulation During this simulation‚ many scenarios covered an understanding of demand and supply‚ equilibrium‚ shifts in demand and supply‚ and price ceiling that a monopoly had to face when different situations arose. I was able to understand the concept of microeconomics and macroeconomics with the scenarios the simulation provided. During the simulation with regards to microeconomics‚ GoodLife is what is considered as an individual choice and
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Business Regulation Simulation Alumina‚ Inc. manufactures auto parts and aluminum packaging material‚ mines bauxite‚ and refines and smelts aluminum (University of Phoenix‚ n.d.). After reviewing the simulation‚ it is easy to see how a business can be the target of legality. In this scenario‚ fingers were pointed at Alumina‚ Inc. for contaminated water that may have been the cause for a case of leukemia in a female child. In any business‚ management teams must take caution that tort and regulatory
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mm1 simulation in matlab clc;clear; ST_Idle=0; ST_Busy=1; EV_NULL=0; EV_Arrive=1; EV_Depart=2; EV_LEN=3; Q_LIMIT=1000000; % next_event _type=[]; % num_custs _delayed=[]; % num_delays _count=[]; % num_events=[]; % num_in _queue=[]; % server_status=[]; % area_num _in _queue=[]; % area_server _status=[]; % mean_interarrival=[]; % mean_service=[]; % clock=[]; % time_last _event=[]; % total_of _delays=[]; time_arrival=[]; time_next _event=zeros(1‚EV_LEN);
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The simulation wasn’t as intuitive as I thought at first; it took three tries and 20 steps in order to get the 61% buy in order to complete the simulation. There was one steps taken that gave a 0 or neutral buy‚ basically a waste of money and time. I quickly evaluated that in order to start a change process and achieve the buy in and support‚ activities need to be done in a certain order. I think the simulation does take into account the perceived human emotions surrounding change‚ however‚ it only
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