BACTH SCHEDULING MODEL FOR 2 DIMENSION NESTING PROCESS
As an aerospace industry that enters the global supply chain, a large variety of contracted products and limited production capacity, PTDI has production operational problems. One of the areas that have problems is the machining area of CNC router where the scheduling process of work needs to con...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/47945 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | As an aerospace industry that enters the global supply chain, a large variety of
contracted products and limited production capacity, PTDI has production
operational problems. One of the areas that have problems is the machining area
of CNC router where the scheduling process of work needs to consider nesting
process to increase the productivity of the number of parts produced and saving the
use of materials. The nesting process is identical to the process of grouping family
jobs on single batch processing machines. To remain able to meet customer demand
is required a good planning and scheduling strategy.
To deal with the problem then the development of mathematical models that
integrate between batch scheduling with nesting patterns with the category 2-
dimensional bin packing problem (2DBPP) so that it can get expected production
productivity that is increasing flow time performance for batch scheduling for CNC
Router machine. The objectives of the batch scheduling models with the nesting
model (2DBPP) constrain could provide more benefit than using the scheduling
model and nesting separately
Proposed batch scheduling model with 2-dimension Bin Packing nesting
restriction. The model then used to schedule 10 sets of Tailboom in the current year,
this model results in performance output the material usage efficiency up to 50.57%
with a total flow time of 53,991 seconds and the average flow time of each job 900
seconds. Compared with performance in the previous year, there was an increase
in performance which in the previous year average flow time of each job was 1430
seconds. |
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