Open the model and file Germany Store Delivery.zip on the book web site. This file contains a multi-objective optimization for which the goal is to minimize the number of depots needed to serve stores in Germany such that as many customers are within 75km as possible. How many depots are needed to reach 50%, 60%, 70%, 80%, 90%, and 100% within 75km? If the management team thought they wanted 100% within 75km, how would this chart help you persuade them that this was not a good idea?
Answer to relevant QuestionsIf the planners of Logistica had been lucky enough for their first calculation to have picked an existing city, why should they still analyze other cities? Let’s revisit the case study from Chapter 10, “Adding Multiple Products and Multisite Production Sourcing,” for Value Grocers—the grocery retailer that operated a network of stores in the Midwest region. If you were ...Open the model found in the file Debugging Example III.zip on the book web site. This model solves, but is returning a cost that is about 100 times higher than what you expect the result to be. Determine what the problem is ...You are working for a company with 500 unique products. You must aggregate these products. The team has decided that they will build a simple way to group products by coming up with six categories. Each category only has ...During the scenario analysis stage, why is it important to determine specific scenarios you want to run? Why is it also important to experiment?
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