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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 />

2. The statistical study shows waiting time (No Material) is 28.50% i.e. 2.28 hrs/shift which is quite large<br />

and need to be cut down. The objective can be achieved by reducing the lot size from existing 500 Nos.<br />

to proposed 270 Nos. Therefore, the suggested lot size should start from minimum 50 to maximum 270<br />

nos. with a Buffer <strong>of</strong> 270 nos. as calculated above. This scheduling shall help in eliminating the waiting<br />

time and improving the throughput time by 3.53 hrs/shift [(2.28 + 1.25) hrs] i.e. 44% increase in<br />

production.<br />

6. Validation and Conclusion<br />

1. The average production per month <strong>of</strong> Category ‘A’ is 23464 Nos. (Table 3) and for Category ‘B’ is 14341<br />

Nos. (Table 4), which amounts to average production <strong>of</strong> car shock absorbers per month as 37805 Nos.<br />

(Category ‘A’ + Category ‘B’).<br />

2. The settled target for production <strong>of</strong> car shock absorbers is 1600 Nos./shift i.e. 3<strong>20</strong>0 Nos./day. Considering<br />

actual working <strong>of</strong> 22 days per month the Total desired production per month is 70400 Nos.<br />

3. The comparison <strong>of</strong> the present production with the targeted production shows result as 53.7% which means<br />

46.3% is lost because <strong>of</strong> setup time and waiting time.<br />

4. This confirms that the statistical estimation <strong>of</strong> lost time is very much inline with the actual data i.e. 47.28%<br />

as statistical result and 46.3% as actual result.<br />

5. The reduction in throughput time gives a base <strong>of</strong> 44% increase in production (Refer Sec. 4.0) i.e. present<br />

average production quantity <strong>of</strong> 37805 Nos. gets increased to 54440 Nos.<br />

6. The creation <strong>of</strong> buffer stock will increase the inventory levels but throughput will be smooth and delivery to<br />

the customer is fast.<br />

References<br />

1. Cruz, J.M., Diaby, M., Nsakanda, A.L. (<strong>20</strong>08). “A Geometric Programming Model <strong>of</strong> the Lot-Scheduling<br />

Problem with Investments in Setup Reductions and Process Improvements”, American Conference on<br />

Applied Mathematics (MATH '08), Harvard, Massachusetts, USA, March 24-26, <strong>20</strong>08.<br />

2. Deros B.M., Mohamad D., Idris M.H.M., Rahman M.N.A., Ghani J.A. and Ismail, A.R. (<strong>20</strong>11). “Setup Time<br />

Reduction in an Automotive Battery Assembly Line”, International Journal <strong>of</strong> Systems Applications,<br />

Engineering & Development, Vol. 5, Iss.5, pp. 618-625.<br />

3. Gest, G., Culley, R.I., Mileham, A.R. and Owen, G.W. (<strong>19</strong>95). “Review <strong>of</strong> Fast Tools Change Systems”,<br />

Computer Integrated Manufacturing System, Vol. 8, Iss. 3, pp. <strong>20</strong>5-210.<br />

4. Kivenko, K. (<strong>19</strong>94). "Cycle Time Reduction”, APICS-The Performance Advantage, pp. 21-24.<br />

5. Kumar, R., Gupta S.K., Singh, R.V. and Gera, G. (<strong>20</strong>12). “Improving industrial performance through Cycle<br />

Time Reduction Technique (A Case Study)”, in the proceeding <strong>of</strong> National Conference on Emerging Trends<br />

in Mechanical Engineering (ETME-<strong>20</strong>12), held at ITM <strong>University</strong>, Gurgaon (Hr.), June 1, <strong>20</strong>12, pp.<br />

6. Nichols, E. L., Frolick, M.N. and Wetherbe, J.C. (<strong>19</strong>95). "Cycle Time Reduction: An Inter-organizational<br />

Supply Chain Perspective”, Cycle Time Research, Vol. 1, No. 1, pp. 63-84.<br />

7. Rohan, R, and Sindila, G. <strong>20</strong>08. “Applying Lean Principles to Improve Organization’s Decisional Process”,<br />

DNCOCO.<br />

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