Blue detergent vishwas 151202032 • 1. DATA-DRIVEN MANAGEMENT OF BLUE DETERGENT A S I M U L A T I O N C A S E S T U D Y V I S H W A S K 1 5 1 2 0 2 0 3 2 • OVERVIEW OF THE CASE • BLUE – Key laundry detergent product for Kelsey-White. • K-W managers took decisions regarding manufacturing and marketing based on gut feeling or experience. • They did not have any support for the decisions taken.

• Hence a need was identified by the CEO to take data-driven decisions.

Oct 09, 2014  simulation for Delphi printers and peripherals Nick DeCola WIT CIS. Global Supply Chain Management Simulation www.enspire.com Page 3 of 9 3) How to Play The Global Supply Chain Management Simulation Introduction In this game, you are in charge of the product introduction of two models of mobile phones. You will manage the design, forecast the demand, and choose the.

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? Raspolozhenie ordenov medalej na paradnom kitele armii rf. 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? 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. Book of yeezus pdf download. The prices directly impacted the market size and share in the car rental market.

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