Abstract
The purpose of this study to minimize the overall duration of aircraft design project in Indonesia. This study proposes a combination method of Design Structure Matrix (DSM) and Genetic Algorithm (GA) for scheduling aircraft design project activities. DSM is used to identify the information flow between project activities. GA use reworks data, which was the result output of DSM, and activity duration to optimize the task sequence by considering the human resource constraints. A comparative analysis was conducted between the schedule based on DSM and GA and schedule based on Critical Path Method. Combination of DSM and GA obtained 63 days shorter project durations compared to CPM. This research is convenient for design projects scheduling with limited resources that can be obtained by using alternative methods other than traditional methods.
Highlights
In the 20 years, IATA [1] predicts that the number of passengers in Indonesia will reach 220 million passengers and ranks five in the world
The complexity of the information flow may lead to rework or iteration of activities that related to project delays [4]
The aircraft design project requires optimal project scheduling that can help overcome the delays caused by rework, resource and precedence constraints [5]
Summary
In the 20 years, IATA [1] predicts that the number of passengers in Indonesia will reach 220 million passengers and ranks five in the world. The aircraft production in Indonesia establishes connectivity between regions, especially in remote areas. The aircraft project is a product development project that is influenced by uncertainty factors and requires high technology [2]. Aircraft projects in Indonesia have never been completed and require additional time for the design and production process. Delays in design projects often occur due to legal, technical, design changes and improper planning [3]. The complexity of the information flow may lead to rework or iteration of activities that related to project delays [4]. The aircraft design project requires optimal project scheduling that can help overcome the delays caused by rework, resource and precedence constraints [5]
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