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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

customer demand<br />

arrives to retailer<br />

0<br />

assign customer<br />

demand to retailer<br />

retailer<br />

0<br />

assign retailer<br />

demand to<br />

distributor<br />

distributor<br />

0<br />

assign distributor<br />

demand to output<br />

buffer<br />

output buffer<br />

0<br />

assign output<br />

buffer demand to<br />

input buffer<br />

input buffer<br />

assign input buffer<br />

demand to supplier<br />

supplier<br />

dispose input buffer<br />

demand<br />

0 0 0<br />

Figure 3 Simulation model with decentralized information (main model)<br />

assign cust omer<br />

demand t o<br />

dist r ibut or<br />

cust omer demand<br />

ar r ives t o r et ailer<br />

decide cust omer<br />

demand t o<br />

r et ailer _out put<br />

buf f er _pr oduct ion<br />

plant _input<br />

buf f er _supplier<br />

assign cust omer<br />

demand t o<br />

r et ailer<br />

r et ailer<br />

assign r et ailer<br />

demand t o<br />

dist r ibut or<br />

0 0 0<br />

10<br />

30<br />

Els e<br />

10<br />

40<br />

dist r ibut or<br />

assign dist r ibut or<br />

demand t o out put<br />

buf f er<br />

assign cust omer<br />

demand t o out put<br />

buf f er<br />

out put buf f er<br />

assign out put<br />

buf f er demand t o<br />

input buf f er<br />

input buf f er<br />

0 0<br />

assign input<br />

buf f er demand t o<br />

supplier<br />

supplier<br />

0<br />

dispose input<br />

buf f er demand<br />

0<br />

assign cust omer<br />

demand t o input<br />

budf f er<br />

assign cust omer<br />

demand t o<br />

supplier<br />

Figure 4 Simulation Model with centralized information (main model)<br />

4.3 Simulation Model Translation<br />

Models have been developed by using ARENA Simulation S<strong>of</strong>tware to study the functioning <strong>of</strong> the company<br />

and new model has been devised to make the system performance efficient. We have built models in such a<br />

manner that what we study about the system should be same what we have developed through models.<br />

Validation confirms about the realistic characteristics <strong>of</strong> the system. We have verified the model by the analysis<br />

<strong>of</strong> the predictions. We have gone through the following strategy<br />

1. Inspection <strong>of</strong> logic <strong>of</strong> simulation program<br />

2. Performing <strong>of</strong> simulation test runs with which we can inspect the correctness <strong>of</strong> the program logic<br />

3. Performing simple consistency checks<br />

Bullwhip Effect in the supply chain is quantified by using equation 1.<br />

………………….(1)<br />

M=Variance (O t<br />

)/Variance (D t<br />

)<br />

863

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