- Serious Games
Archive for category Optimization
It’s inevitable that the price of commodities in the eastern part of Indonesia is much higher than in the west. The unbalance economic growth between these two parts of Indonesia, might be one of the reason. Hence, the main trade activities happen mostly in the west, especially in Java island which could be called as the center of this country.
According to Meeuws and Bahagia, Indonesia as an archipelago country is dependent to maritime logistics on transporting goods and transportation. But unfortunately the performance of logistic in Indonesia is still poor. Also, the cost of logistics in Indonesia is still high. Until 2011, the cost of logistics is equal to 24.64% of Indonesia’s GDP.
Liner shipping company, as the provider of maritime logistics services, is looking for technology for optimizing their cost planning in operating and enhancing their fleets. The purpose of this plan is to make the capacity of their fleets matches the demand of container. The main goal for every company is of course to gain maximum profit. But the high of logistic cost and the unbalance trade activities in Indonesia might be the problem for liner shipping company to achieve that.
In liner shipping there are three different time-horizon levels. There are strategic level, tactical level, and operational level. The strategic level has the longest horizon and it involves determining the optimal fleet. The tactical planning level is done once in the several months and it involves constructing ship schedules. The shortest term decision level is the operational level. It involves determining the optimal allocation of cargo.
Previously there has been a research on Indonesia’s maritime logistic, especially in liner shipping made by Meijer and Van Rijn from Netherland. The purpose of their research is to gain maximum profit by optimizing liner shipping network design in Indonesia. But their research did not consider demand in the future (multi-period planning). Multi-period planning is crucial for liner shipping company in planning and developing the maritime logistics business.
SEMS researchers see this as an opportunity for our research. Therefore we make a research on multi-period liner shipping network design in Indonesia. The purpose is for the liner shipping company to gain maximum profit by optimizing their network design. In doing so, there are given conditions and scenarios in order to acknowledge which scenario suits best for multi-period planning. The outcome of this research is also to design the optimum logistics network which involves, which routes to be used, how many ships have to be allocated, and the cargo allocation.
This Research is conducted by Mellianna Fiannnita Purba, Komarudin and Armand Omar Moeis.
SEMS Research Highlights 2015: Improving the Soekarno Hatta International Airport Utilization as the Main Gate of Indonesia
With the steady economic growth for the last ten years in Indonesia has made people mobility across the nation is at all time high. This is why, that most airport in Indonesia is operated more than its capacity. Soekarno Hatta International Airport (SHIA) is currently operated twice than its designed capacity. This problem has strong influence to the level of service of the airport, which next could lead to the decreasing of the passenger’s satisfaction (Yan, Shieh, & Chen, 2002). The challenges of the airport operator are to do further investment and to optimize the utilization of current ability.
Based on a research done by Redaksi Angkasa (2014), the current maximum traffic capacity of SHIA is 72 landing-takeoff traffics per one hour. They found that this still could be improved till 86 landing-takeoff traffics per one hour. Another standing point is more than 40% flights in SHIA is being parked in the remote area. The remote area is basically the aircraft parking area, located far away from the terminal building.
SEMS was trying to solve this problem, because we believe the better service from gated flights could maintain the image of SHIA as the main gate of Indonesia. There are some researches already studied about this topic. Bennel, Mesgarpour, & Potts (2011) have done a research focus on developing an optimization model. The objective of the study is to maximize the number of flights. Another research was done by integrating the runway allocation and gate assignment problem to maximize the number of flights could be accommodated in an airport (Nahry, T., & Y.J., 2013). Additionally, SEMS saw a research opportunity not to focus on operator’s perspective only, but also on the passenger’s perspective such as minimizing flight tardiness and minimizing passenger walking distance in the terminal.
This research is basically focusing on developing an optimization combination model of runway and gate assignment. The output of this research is to generate to most optimal runway and gate schedule concerns on 4 objectives, such as maximizing landing-takeoff traffics, minimizing flight tardiness, minimizing flights being parked in remote area, and minimizing passenger walking distance in airport. The model is done using the Genetic Algorithm Optimization Approach. The Genetic Algorithm it self is a metaheuristics algorithm, functioning to generate the best solution in a certain solution space of a certain problem.
Using the model, a significant reduction on un-gated flight has been achieved which reduce the traveling distance of the passenger.
This research is Conducted by Gede Arya Satya Dharma, Aziiz Sutrisno, Armand Omar Moeis, and Akhmad Hidayatno
Two of our researchers, Armand Omar and Aziiz Sutrisno, was presenting at th 4th International Conference on Modelling and Simulation, Phuket, Thailand on April 25-26, 2011. Both of their papers were among 179 paper selected from 512 paper submissions, representing 35% acceptance rate.
Pak Armand presented his research with Pak Komarudin on “Combination of Dummy Department and Wheel Structure Representation for Facility Layout Problems with Empty Space”.
Pak Aziis presented his research with Pak Akhmad on “Systems Dynamics Model for Understanding Contributions of Biodiesel Industry in Indonesia”