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Operational Optimization, Queueing, Linear Programming, Logistics, Flow Charts and Productivity

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1. A company that makes shopping carts for supermarkets and other stores recently purchased some new equipment that reduces the labor content of the jobs needed to produce the shopping carts. Prior to buying the new equipment, the company used five workers, who produced an average of 80 carts per hour. Labor cost was \$10/hour and machine cost was \$40/hour. With the new equipment, it was possible to transfer one of the workers to another department, and equipment cost increased by \$10/hour while output increased by four carts per hour.

a. Compute labor productivity under each system. Use carts per worker hour as the measure of labor productivity.
b. Compute the total productivity under each system. Use carts per dollar cost (labor plus equipment) as the measure.
c. Comment on the changes in productivity according to the two measures, and on which one you believe is the more pertinent in this situation?

3. The license renewal process at the State Automobile Driver's license office is designed as a service line, with customers processed in the fixed sequence listed in Table 1.

Each task is performed by a separate clerk.

a. Draw a process flow diagram for the license renewal process.
b. What is the cycle time?
c. How many customers can the Office process in an hour.
d. Assuming that customers arrive at the Office at 60 second intervals, what is the throughput time?
e. How many customers will be in the Office, on the average, at any given time (once the system reaches a steady state) ?
g. Compute the cycle time, capacity and throughput time for the system you designed in (f) above.
h. What is (are) the bottleneck(s) in the new system?
i. Will the system you designed in (f) above require additional expenditures in addition to the cost of the seventh clerk? Please be specific.

4. The following diagram describes how Dolphin Steel Co. makes steel.

Stage Capacity ( tons/day)

Iron Ore Processing 4,000
Coke ovens 1,000
Blast furnace 3,000
Scrap handling 1,500
Basic Oxygen furnace 4,200
Continuous Casting 6,000
Finishing Mill 5,000

At two points in the steel making process, outputs from two departments are inputs to a single department. The ratio of each input is indicated on the arrow that illustrates the flow. For example, in the blast furnace, 3 tons of iron ore are mixed with 1 ton of coke.

a. What is the system capacity?
b. Which stage(s) in the process is a bottleneck?
c. How much can you increase the capacity of the system, by adding capacity to the bottleneck?
d. Assume that adding capacity requires a capital investment, say for example \$2M. How would you go about determining if the investment is justified?

Now assume that the coke ovens, blast furnace and the basic oxygen furnace have yield rates of 80%, 85% and 90%, respectively. Please note that 80% yield means that for every 100 tons of input we get only 80 tons of output.

e. What is the system capacity?
f. Which stage(s) in the processes is (are) a bottleneck?

See attached file for full problem description.

https://brainmass.com/math/optimization/operational-optimization-queueing-linear-programming-logistics-flow-charts-and-productivity-131939

Solution Preview

1.a.
Labor Productivity, carts/(worker*hour) = (# of carts produced per hour) / (# of workers during that hour)

Labor Productivity = (carts/hour)/(workers) = carts/(worker * hour)

Notice how the units of productivity (carts/worker * hour) match those of the

System 1: 80 carts/hour and 5 workers

LP = (80 carts/hour) / (5 workers) =

System 2 84 carts/hour (80 + 4 increase) and 4 workers
(Repeat LP calculation)

1.b.
Total Productivity, carts/dollar = (# of carts per unit time)/ (# dollars to produce carts per unit of time)

TP = (carts/hour) / (dollar/hour) = carts/dollar

Note: I am assuming that labor cost of 10/hour is the wage of a worker per hour and not the total salary of the 5 workers on System 1. Unless you are sure that my assumption is correct, please check with your instructor.

System 1. 80 carts/hour and \$90/hour
dollars per hour = (5 workers * \$10/(worker * hour) + \$40/hour (machine)

TP = 80/90 carts/dollar

System 2. 84 carts/hour and \$90/hour
dollars per hour = (4 workers * \$10/(worker * hour) + \$50/hour (machine)

(Repeat TP calculation)

1.c.
? The problem states that the new machine reduces the labor content, not cost.
? The Labor Productivity measure shows that System 2 is 31% more productive than System 1. 31 = 100*(LP Syst 2)/(LP Syst1) - 100
? The Total Productivity evaluates the efficiency with which each dollar is used to produce a cart. Total Productivity is 5% higher in System 2.
5 = 100*(TP Sys2) / (TP Sys1) - 100
? Total Productivity does not account for the worker that was transferred to another department.
? Both measures of productivity are important for managerial decision-making. If the objective was reducing the cost of producing a cart, total productivity is a better measure. If the objective was to produce more carts per worker, Labor Productivity seems a better measure.
? Since the problem states that the machine reduces the labor content, it seems the Labor Productivity is the right measure to assess if the labor content was indeed reduced.

3.a.
This type of diagram shows the relationships between system components. The system is described as a service line that flows in a single ...

Solution Summary

Operational Optimization, Queue Theory, Linear Programming, Logistics, Flow Charts and Productivity are investigated. The solution is detailed and well presented.

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