Manufacturing Systems Design
Dr. G. Bengu, IE Dept.
To introduce large scale manufacturing systems design and concepts. Students
will learn and experiment with different designs of manufacturing systems. The
manufacturing systems concepts such as Flow Line Systems, Flexible
Manufacturing Systems, Automated Storage and Retrieval Systems, Just In Time
Production Systems will be introduced. Interactive Simulation/Animation tools
are used for this purpose as well as for the economical analysis of
manufacturing systems design. Students will access the simulation/animation
tools through a hypertext/multimedia environment, for example view a simulated
factory floor, change relevant key parameters and observe the effects on the
system performance. Students will analyze the trade offs with different design
alternatives using economical analysis functions as well as direct performance
measures. Students will also be introduced to the use of spreadsheet tools for
such analysis. The spin off benefit of this lecture will be the use of other
tools and techniques from topics such as in Quality Control and Concurrent
Engineering and the resulting synergy accross manufacturing curriculum. The
chosen application areas will focus on personal computer production.
The layout of production facilities, in a factory floor as well as the
choice of the characteristics of individual production facilities such
as type of machine are largely based on the nature of the product and
can be categorized in terms of type of production.
- Flow Line Assembly: System design for large volume standard
productions such as cars, televisions, radios, etc. The product is a
standard one which can be mass produced.
- Just in time and flexible manufacturing systems(JIT &
FMS): Design for moderate volume but high variety products such as
consumer electronics. There are similar products produced but they are
in moderate numbers but not in large quantities and there are many
batches like these.
- Job Shop: Every product is unique and hence each has to be
produced in different ways. The storage of raw material, work-in-process
inventory as well as finished product requires a storage area and a
retrieval process. Next subject will touch these issues with the
following example.
- Automated Storage and Retrieval Systems(AS/RS): Design of a
automated warehouse system facilitated by conveyor, elevators and
barcode readers. The delivery of materials between work centers usually
occurs thorough a material handling system. The last example will touch
issues in this area.
- Material Handling systems: Design of automated quickest
vehicle track.
There will be three hands on experiences. Check also
.
- Flow Line Manufacturing systems
- Flexible Manufacturing
- Automated Storage and Retrieval Systems.
Execution of one of these systems based on overall students interest will
be explained in class and students will be required to complete a
similar analysis based on their choice as a homework assignment. A
complete set of assignments are given in the Manual attached. The
following is a summary of one set of assignment.
Flow Line Model
Model Description: Animation screen illustrates a flow line with
five serial machines of printed circuit board assembly and finite buffers is
being modeled in this case. A machine may be blocked when some buffers before
it is full. Inputs to the model are processing rates in parts per hour, percent
of machine uptime, meantime to repair a machine, and buffer capacities. The
processing rates are assumed to be constant and the failure and repair times
follow and exponential distributions.
Objective: Illustrates the serial processing manufacturing system
described above and "bottleneck" workstation concept. Allow the student to
improve the production rate of the system measured in parts/hour after
observing the affect of key variables on the system. Students individually work
on improving the systems, analysis are based on group work.
EXPERIMENT 1
- Print out this assignment and,
- Run the simulation model for 3 months.
- Save results in file EXP1.
- Print the results.
- Print the animation screen of the model.
- Explain the system model and the functioning rules.
i.e.,
Number of work centers? Machine speeds? Size of buffers in
between workcenters?
- Explain the status in terms of utilized, blocked, starved and
failed (uptime and repair time) for a machine.
- Observe # of jobs per hour.
- Analyze the simulation results
i.e., Which machine was blocked
the most (the one with no space left in the output buffer)? Which
buffers has the maximum and the minimum parts stored?
- Which machine is utilized the most ( the bottleneck machine) and
the one least utilized?
- Which machine failed the most?
- Calculate the Total Cost (1)
- Study the economic feasibility of improving the system
EXPERIMENT 2
Will it be feasible to double the output buffer capacity of the most
blocked machine?
- Reset the simulation results before running simulation again.
- Double the output buffer size. Run for another 3 months.
- Save results in the file EXP2.
- Analyze results.
- Calculate Total Cost(2)
EXPERIMENT 3
Will it be economically feasible to increase the production capacity by
doubling the bottleneck machine?
- Reset the simulation results before running simulation again.
- Double production capacity. Run it for 3 months.
- Save results in file EXP3.
- Analyze results.
- Calculate Total Cost(3).
EXPERIMENT 4
Is it economically feasible to improve the reliability of the most failing
machine?
- Reset simulation.
- Choose breakdown time.
- Increase the uptime of most failing machine to 99%
- Lower the mean time to repair to 10.
- Save results in file EXP4 and analyze.
- Calculate Total Cost(4)
COMPARE the Total Costs 1 through 4. Suggest the best improvement for
the system and explain your reasoning. (group analysis required)
Calculate the average hourly total cost functions for the above
exercises. Assume the following are known:
Total Cost : given in hard copy.
Total Revenue :
Cost Parameters:
Cm = Cost of using a machine Cb = Cost of using a buffer space
Cp =
Cost of producing a part Ci = Inventory cost per part/hour
Cd = Idle cost
of machine Co = Repair downtime cost of
R = Revenue per part.
a machine
Control variables:
M = Number of Machines B = Number of buffer spaces
FR = Failure
Rate MTTR = Mean Time to Repair.
Performance Measures
u i = % utilization of workcenter i;
b i = % blocking of workcenter i;
s i = % starvation of workcenter i;
N i = average number of jobs in
buffer i;
P r = production rate ( # of parts/hour ).
Example
Assume the following,
Cm = $30 / hr Cb = $5 / hr
Cp = $3 / part Cd = $5 / hr
Co = $30 / hr Ci = $5 /part /hr
R = $ 15
Under
initial simulation conditions, Pr = 52.5 / hr :