Develop a Simio model of the serial manufacturing system shown in the figure below.

Assume that parts arrive to the system at a rate of 120 per hour and that the arrivals are Poisson. The characteristics of each machine are given in the Table below. ST is the service time distribution and F/R is the probability of fallout/rework for the given machine.

Your model should include the following characteristics/features:

a) Parts (entities) should move from machine to machine instantaneously (0 simulated time).

b) Name the object instances in your model using meaningful names.

c) Create a user-defined statistic that tracks the number of reworks in the system, where a rework is any part that has been reworked at least once (i.e its entered S1 more than once).

d) Create a status plot that displays (1) the instantaneous number of entities in the system, (2) the average number of entities in the system, and (3) the instantaneous number of reworks in the system. The time range for the plot should be 25 hours.

e) Develop an interesting animation for your model.

f) Create an experiment with the following conditions

i. Run length- 200 hours;

ii. Warmup- 50 hours;

iii. 20 replications.

g) Create experiment responses for each of the following and comment on the results

i. Average number of parts in the system;

ii. Maximum number of reworks in the system;

iii. Average time (in minutes) that parts spend in the system

iv. The utilization of S4;

v. The rate at which good parts are finished ( in parts per hour);

vi. The rate at which parts fall-out from S3 (in parts per hour).

51 S2 54 Good 51 S2 54 Good