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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Bibliographic Details
Main Author: Luqman, Muhammad
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
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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.