LaRosa Machine Shop (LMS) is studying where to locate its tool bin facility on the shop floor. The locations of the five production stations appear in figure shown below. Click on the datafile logo to reference the data.

Location Station X Y Demand Fabrication 1.0 4.0 12 Paint 1.0 2.0 24 Subassembly 1 2.5 2.0 13 Subassembly 2 3.0 5.0 7 Assembly 4.0 4.0 17 In an attempt to be fair to the workers in each of the production stations, management has decided to try to find the position of the tool bin that would minimize the sum of the distances from the tool bin to the five production stations. We define the following decision variables: X = horizontal location of the tool bin Y = vertical location of the tool bin We may measure the straight line distance from a station to the tool bin located at (X,Y) by using Euclidean (straight-line) distance. For example, the distance from fabrication located at the coordinates (1,4) to the tool bin located at the coordinates (X,Y) is given by . 

(a) Suppose we know the average number of daily trips made to the tool bin from each production station. The average number of trips per day are 12 for fabrication, 24 for Paint, 13 for Subassembly 1, 7 for Subassembly 2 and 17 for Assembly. It seems like we would want the tool bin closer to those stations with high average numbers of trips. Develop a new unconstrained model that minimizes the sum of the demand-weighted distance defined as the product of the demand (measured in number of trips) and the distance to the station. Choose the correct answer below. (i) (ii) (iii) (iv)

(b) Solve the model you developed in part (a). If required, round your answer to three decimal places.

X =

Y =

Transcribed Image Text:

Subassmebly 2 Fabrication Assembly Y 3 Paint Subassembly 1 1 5. Subassmebly 2 Fabrication Assembly Y 3 Paint Subassembly 1 1 5.

Answer rating: 100% (QA)

According to Euclidian distance formula the distance between two points is vX x Y ... View the full answer