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please answer all parts ASAP Business Decision Analytics under Uncertainty - Fall 2022 Assignment 1 Please show your entire work with brief, but sufficiently detailed

please answer all parts ASAP

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Business Decision Analytics under Uncertainty - Fall 2022 Assignment 1 Please show your entire work with brief, but sufficiently detailed explanation. You can refer to the lectures to support your discussion. You can use a graphing calculator or computer software to visualize the question when applicable. Submit your work on Canvas as a single Word document; handwritten answers are not accepted. To help grading and adding comments, do not convert your work into a pdf file[s]. Question 1 (40 points) You assist your client to select a location x = (X1 , X2) for a service facility that will serve K = 50 customers by providing a single (identical) commodity to each customer. The facility can be located anywhere within the unit square 0 S X1 $ 1, 0 5 X2 5 1 (which can model e.g., a 10 km by 10 km rectangular region scaled to the unit square). The customers are modeled as points Pk = (Pki , Pk2) for k = 1, ..., K located within the unit square. Each customer's yearly demand is assumed to be a known value, and we assume that all demands are satisfied. However, customers are assumed to be of different relative "weight", proportionate to the size of their yearly demand for the commodity. This aspect is expressed by assigning weights wk for k = 1, ..., K to the customers. To illustrate the problem, please see the figure below that shows the unit square (blue), a possible (but not optimized) location for the facility (black dot), and the locations of the "weighted" customers (red dots of radius wk for k = 1, ... , K). O Assume that the distance between the facility location x and customer px is expressed by the so-called Manhattan (11-norm) distance function d(x, PK) = [X1 - PKI| + | X2 - Pk21. Formulate a decision model that optimizes the location of the facility. The quality of a location is expressed by the weighted sum of the Manhattan distances between the facility and the customers. See page 2 for Questions 2 to 4. Question 2 (20 points) Determine the convexity / nonconvexity properties of your facility location problem. Based on the discussion presented in the lectures, state whether this facility location problem is expected to be "easy" or "hard" to solve. Question 3 (20 points) Assume now that the regions (X1 - X2| > 0.3, X1 + X2 > 1.5, x12 - X2 + 0.4

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