SIMULTANEOUS ASSEMBLY LINE DESIGN AND WORKFORCE SCHEDULING IN CN-235 AIRCRAFT FINAL ASSEMBLY LINE OF INDONESIA AEROSPACE COMPANY

PT Dirgantara Indonesia (PT DI) is an aeronautical company in Indonesia. One of the best products from PT DI is CN-235. Assembly process for this product conducted by 3 division, comprise of Detail Part Manufacturing (DPM), Component Assembly (CA), and Final Assembly Line (FAL). The main job of FAL...

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Bibliographic Details
Main Author: RIZQULLAH NIM 13414018, NAUFAL
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/29584
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:PT Dirgantara Indonesia (PT DI) is an aeronautical company in Indonesia. One of the best products from PT DI is CN-235. Assembly process for this product conducted by 3 division, comprise of Detail Part Manufacturing (DPM), Component Assembly (CA), and Final Assembly Line (FAL). The main job of FAL is to integrate major assembly and install the mechanic and electric system. Currently, FAL has 4 units to be produced as the production target for one year so that the cycle time need to be reduced from 182 days into 63 days. Therefore, moving assembly line and worker scheduling designed to increase the worker’s value added in moving assembly line since the workers utilization still low yet. <br /> <br /> Mathematical model that is used in this research is Mixed Integer Quadratic Programming. The result from the model is operation placements into workstations, worker assignments to operation, and operations scheduling. The objective function is to minimize the idle time for the entire workers. Inputs for this model are operation assembly details, precedence diagram, and number of available workers. Computation process conducted using CPLEX Optimization Studio 12.8.0 software. <br /> <br /> The computation result generates 14 workstations and 84 workers. This solution implied the reduction of cycle time and the smaller numbers of workers compared to existing numbers of workers so that it could reduces the cost Rp 3.773.000.000. However, this solution needs additional tooling cost approximately Rp 3.321.508.714. Hence, the resultant cost for the solution is Rp 451.491.286. The solution also proposed workers scheduling with better workers utilization: stage 1 is 76,28%, stage 2 is 71,48%, stage 3 is 59,13%, stage 4 is 55,13%, and stage 5, 6, and 7 is 29,38%.