CAPACITY PLANNING MODEL BASED ON CRITICAL RESOURCES

In term of production planning and control system based on MRP II (Manufacturing Resource Planning), MPS validation is doing by RCCP (Rough Cut Capacity Planning) before the process continue to MRP (Material Requirement Planning). If MPS is unfeasible, then Management should increase capacity or...

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Bibliographic Details
Main Author: AFANDI HUDZAIFAH, MUHAMMAD
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/39686
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:In term of production planning and control system based on MRP II (Manufacturing Resource Planning), MPS validation is doing by RCCP (Rough Cut Capacity Planning) before the process continue to MRP (Material Requirement Planning). If MPS is unfeasible, then Management should increase capacity or decrease workload that will lead to decreasing demands. In aircraft manufacturing company, option to decline demand is difficult decision beacause it will not only impact to the revenue but also to the the company’s credibility. This research is concerned to capacity planning model based on the critical resources with study case in PT X, because in accordance with the result of RCCP in component manufacturing line and the result of critical path analysis in assembly line show that work station CNC Router, Rolling, rear fuselage assembly for Product 1, and center fuselage structure assembly for Product 2 are critical in aircraft manufacturing process. Model developed by using mathematical model which objective functions is to minimize total cost, consisting cost of process in critical resources in component manufacturing line, cost of outsourcing, and penalty cost caused by delay in delivery. The decision variable in the model is the number of capacity allocation for each aircraft to the critical resources in component manufacturing line. Solution is produced by using software Lingo and shows that the MPS is valid by increasing capacity through outsourcing process 543,92 hours for Product 1 and 2.638,58 hours for Product 2.