Harvard Simulation Answers

The professor gave me Simulation in Harvard website, I did the run I got a good result. But he sent three questions I need help to answer it, and I will provide all the screenshot from the website. The simulation is Universal Rental Car V2 The questions below: 1.) How did you use available information to infer patterns in overall demand across the number? Of periods of the game?

How did it impact inventory decisions/capacity utilization? Please use information from Price History and Unit sales screens (please provide graphical and “view data” Screenshots) to support your answers. 2.) How would you characterize the behavior of each type of customer’s (business/leisure) responses to changes in price over the year? How does this vary across the three cities? WhichCity was the most challenging to manage? 3.) What pricing strategy did you use as you played the game? How did it impact yourperformance?

Change Management Simulation Power and Influence. Request a Demo! Harvard Business School Publishing, and Forio. Connect with a Specialist! +1 (415) 440.7500. How To Win A Business Simulation Game? Posted by Zsuzsa Jakab. Tweet; Thousands of. And here is the much awaited answer: there are none. While this may be a bit disappointing for participants looking for an easy way to cheat the system, most students and you will delight in the fact that their success will be based on merit.

In selecting the objective of your pricing strategy, what were you trying tomaximize? (i.e., profit maximization, market share maximization, meet competition, status quo,etc.). Please use screenshots from your simulation to support your answers. In the attachment my strategy. Here is the work. Please let me know in case of any review need be.

Sorry for keeping long. 1.) How did you use available information to infer patterns in overall demand across the number? Of periods of the game? How did it impact inventory decisions/capacity utilization? Please use information from Price History and Unit sales screens (please provide graphical and “view data” Screenshots) Forecast on market demand and available data helped me easily comprehend the patterns and price elasticity for the two market segments. The prices directly impacted the market size and share in the car rental market.

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I observed from the simulation that high prices have an impact on two as.

Any strategy lives or dies on the basis of its customer value proposition. There are many typologies relevant to crafting a value proposition, because there are many ways to win customers. But the key issue is always: what is the center-of-gravity in our approach? Do we ultimately compete on the basis of our cost structure (e.g., Ryanair and Wal-Mart) or another basis that increases our target customer’s willingness-to-pay (e.g., Singapore Airlines and Nordstrom)? In other words, will we sell it for more or make it for less — and allocate sales resources accordingly?