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Improvement of Material Flow in the Production and Supply Chain of ...

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Table 4.7 listed <strong>the</strong> simulation results due to different number <strong>of</strong> mach<strong>in</strong>es that<br />

participate <strong>in</strong> <strong>the</strong> production <strong>in</strong> station 8 <strong>of</strong> <strong>the</strong> ma<strong>in</strong> assembly l<strong>in</strong>e (MA 8) <strong>and</strong> station 2<br />

<strong>in</strong> <strong>the</strong> preassembly l<strong>in</strong>e (PA 2). In order to get more precise results, each condition has<br />

been taken fifteen times’ simulations. And at last calculate <strong>the</strong> average value. Take <strong>the</strong><br />

average value as <strong>the</strong> measurement <strong>of</strong> <strong>the</strong> solution.<br />

When add more mach<strong>in</strong>es <strong>in</strong> <strong>the</strong> assembly l<strong>in</strong>e, a problem <strong>in</strong> <strong>the</strong> simulation process<br />

occurred. As <strong>the</strong> production rate <strong>in</strong>creased, blocks happened <strong>in</strong> station 10 <strong>of</strong> <strong>the</strong> ma<strong>in</strong><br />

assembly l<strong>in</strong>e. Accord<strong>in</strong>g to <strong>the</strong> animation around <strong>the</strong> block po<strong>in</strong>t, it is <strong>in</strong>ferred that <strong>the</strong><br />

causes <strong>of</strong> <strong>the</strong> block are <strong>the</strong> stochastic split stream <strong>in</strong> station 10 <strong>and</strong> <strong>the</strong> small queue<br />

length between station 10 <strong>and</strong> station 11.<br />

The stochastic choice <strong>of</strong> <strong>the</strong> direction <strong>of</strong> each <strong>in</strong>com<strong>in</strong>g item <strong>in</strong> station 10 may cause <strong>the</strong><br />

disorder <strong>and</strong> block <strong>in</strong> <strong>the</strong> system. In <strong>the</strong> reality, products <strong>in</strong> different operat<strong>in</strong>g time<br />

(TID) <strong>in</strong> station 10 are <strong>in</strong> batches. Therefore, not each item chooses <strong>the</strong> different<br />

streams stochastically. In order to <strong>in</strong>vestigate whe<strong>the</strong>r this block problem would happen<br />

<strong>in</strong> <strong>the</strong> batch production or not, simulate <strong>the</strong> system with one stream only for <strong>the</strong> two<br />

situations. The results came out to be no block for each s<strong>in</strong>gle stream. So <strong>the</strong> block <strong>in</strong><br />

station 10 only happens <strong>in</strong> simulation model, while <strong>in</strong> <strong>the</strong> real production l<strong>in</strong>e it will not<br />

happen. Thus, it is feasible to smooth <strong>the</strong> model by <strong>in</strong>creas<strong>in</strong>g queue length between<br />

station 10 <strong>and</strong> station 11.<br />

In order to f<strong>in</strong>d out <strong>the</strong> ideal queue length, several tests are operated. When <strong>the</strong> queue<br />

length <strong>in</strong>creased to three or four items, <strong>the</strong> block rate is reduced but not elim<strong>in</strong>ated. If<br />

<strong>the</strong> value <strong>in</strong>creases to 5, most <strong>of</strong> <strong>the</strong> simulations can run well. So <strong>the</strong> queue length can<br />

be set to 5 items between station 10 <strong>and</strong> station 11 <strong>in</strong> <strong>the</strong> model. However, s<strong>in</strong>ce <strong>the</strong><br />

change <strong>of</strong> queue length is only <strong>in</strong> <strong>the</strong> model to keep simulation smooth, set <strong>the</strong> value to<br />

a bigger one to get a stable simulation environment. Based on this po<strong>in</strong>t, <strong>the</strong> queue<br />

length <strong>in</strong>creased to 10 when run <strong>the</strong> simulation model.<br />

As mentioned above, compar<strong>in</strong>g station 2 <strong>in</strong> preassembly l<strong>in</strong>e <strong>and</strong> station 8 <strong>in</strong> ma<strong>in</strong><br />

assembly l<strong>in</strong>e, station 8 is <strong>the</strong> ma<strong>in</strong> bottleneck. So at first, <strong>the</strong> author tries to only <strong>in</strong>sert<br />

one mach<strong>in</strong>e at station 8 to improve <strong>the</strong> current situation. From <strong>the</strong> last raw <strong>of</strong> Table 4.7,<br />

which shows <strong>the</strong> average output <strong>of</strong> <strong>the</strong> assembly l<strong>in</strong>e, it is can not satisfy <strong>the</strong> market<br />

requirement. If <strong>in</strong>crease mach<strong>in</strong>es both at station 8 <strong>and</strong> station 2, <strong>the</strong> production volume<br />

will hit <strong>the</strong> market <strong>in</strong> 2008.<br />

4.3.2 Cutt<strong>in</strong>g down <strong>the</strong> Time to Repair <strong>in</strong> bottlenecks<br />

As mentioned earlier, current production is too far away to <strong>the</strong> ideal situation because<br />

<strong>of</strong> <strong>the</strong> frequent shut down <strong>and</strong> long TTR. The TTF is greatly relat<strong>in</strong>g to <strong>the</strong> technical<br />

parameter <strong>of</strong> <strong>the</strong> mach<strong>in</strong>e, thus it is not easy to change <strong>the</strong> value. Never<strong>the</strong>less, TTR can<br />

be reduced by effort <strong>of</strong> <strong>the</strong> company.<br />

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