Manufacturing Systems Design
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Topic 3: Concurrent Engineering
Topic 4: Manufacturing Systems Design
Topic 5: Robotics

Teachers

Dr. G. Bengu, IE Dept.

Objective

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.

Lecture Material

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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Material Handling systems: Design of automated quickest vehicle track.

Lab Assignment

There will be three hands on experiences. Check also the lab .
  1. Flow Line Manufacturing systems
  2. Flexible Manufacturing
  3. 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

EXPERIMENT 1

EXPERIMENT 2

Will it be feasible to double the output buffer capacity of the most blocked machine?

EXPERIMENT 3

Will it be economically feasible to increase the production capacity by doubling the bottleneck machine?

EXPERIMENT 4

Is it economically feasible to improve the reliability of the most failing machine?

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 :

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