scholarly journals Scheduling for Indonesia’s Aircraft Wing Structure Design Project with Critical Path Method and Resource-Constrained Project Scheduling

2018 ◽  
Vol 248 ◽  
pp. 03010 ◽  
Author(s):  
Melissa Putri Hidayat ◽  
M. Dachyar ◽  
Farizal

As an archipelagic country, Indonesia has high needs for its aviation development. About 270 million people are predicted to fly from and within Indonesia in 2034, which is three times larger than current market conditions. Due to the complexity of aircraft development projects, management of a well-designed Indonesian aircraft design project needs to be implemented. This research aims to analyze the scheduling of aircraft wing structure design project made in Indonesia. Critical Path Method (CPM) and Resource-Constrained Project Scheduling (RCPS) are used to get better scheduling with a shorter duration to complete the project. Results from resource allocation using RCPS can yield a shorter project duration (730 working days) compared to the company’s normal resource allocation (950 working days).

2018 ◽  
Vol 248 ◽  
pp. 03012 ◽  
Author(s):  
Arin Wulandari ◽  
M. Dachyar ◽  
Farizal

Production of the aircraft becomes very important to facilitate many passengers of aircraft in Indonesia in the future. The design of a very complex aircraft requires proper project management. This study aims to perform the best scheduling project of empennage structure design of Indonesia’s aircraft with limited resources. Critical Path Method (CPM) is used to schedule the project based on activity and resource. CPM scheduling results in completion time for activity data for 400 working days. CPM scheduling after assigning human resources results in a longer completion time for 1023.47 working days. CPM scheduling is carried out by reallocating of human resources to produce a shorter completion time, and it results in completion time for 955 working days.


2021 ◽  
Vol 13 (17) ◽  
pp. 9956
Author(s):  
Osman Hürol Türkakın ◽  
David Arditi ◽  
Ekrem Manisalı

Resource-constrained project scheduling (RCPS) aims to minimize project duration under limited resource availabilities. The heuristic methods that are often used to solve the RCPS problem make use of different priority rules. The comparative merits of different priority rules have not been discussed in the literature in sufficient detail. This study is a response to this research gap. It compares 17 heuristic priority rules and seeks the best performing heuristic priority rule. This is the first study ever that compares heuristic priority rules by considering combinations of variations in (1) resource allocation procedures, (2) number of activities, (3) number of resource constraints, and (4) resource supply levels. The objective is to understand the relative merits of heuristic rules used in solving the RCPS problem. The findings indicate that the “minimum late finish time” rule generates the shortest predicted project duration when used in parallel resource allocation, whereas the “minimum late start time”, “minimum late finish time”, and the “highest rank of positional weight 2” rules perform best in serial resource allocation. It was also found that parallel resource allocation is slightly superior to serial resource allocation in most instances.


1998 ◽  
Vol 25 (3) ◽  
pp. 424-436 ◽  
Author(s):  
Paul Wing Ming Tam ◽  
Pujitha Bandara Gamagedera Dissanayake

Construction projects are commonly scheduled by the critical path method or its similar methods, with the assumption that resources are unlimited. The ranked positional weight method, which may be used for project scheduling and resource allocation for both constrained and unconstrained resource scheduling, is found to be relatively easy in application. In construction, the availability of resources is sometimes limited and this leads to an extension of project duration. The critical path method and similar approaches cannot provide an answer in this scenario. A bridge construction project is used to illustrate how the method can be applied.Key words: scheduling, resource allocation, ranked positional weight method.


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