Archive for category Research Highlights
Transfering the Complex Knowledge of Supply Chain Management through Serious Simulation Games
Posted by systems in Financial Modeling, Knowledge Area, Lean and Green Operations, News, Ports, Logistics and Supply Chain, Research Area, Research Highlights, Serious Simulation Gaming SSG, Technical Area on 16/08/2016
“A game could makes you forget that you are actually learning. Packaging a very complicated and
complex reality in to a simple learning tool is what Serious Simulation Game designed for.”
Have you ever thought about how your soft drinks, or your lotion, could arrive in the shelf even before you need it? That effort to make sure you get what you want when you step into the store is called Supply Chain Management (SCM). SCM is indeed important not only for customers, but also for the company. Every company tries to manage its supply chain efficiently and effectively, as SCM alone costs 30% – 70% of the total of production cost. However, managing a supply chain is not an easy job to do.
Andersson and Wemner, through their article in 2008, even stated that many SCM practitioners have difficulties in making the right decision. This fact triggers other urgency: to find talents who understand SCM and able to make the right decision. To gain better knowledge about making decision in SCM, some researches have proven that traditional classroom teaching method might not be the best. Experiential learning, just like its name, provides you a learning method by experiencing the reality, which is an effective way to learn how to make a decision. One of its most effective media is Serious Simulation Game (SSG). To simply put, SSG is an entertaining game with non-entertaining purpose. However, there are still a very limited number of researches on the SSG about the whole supply chain.
In order to enhance the knowledge of SCM, especially for students, SEMS researchers have created a SSG named H2! Supply Chain Management Game. This game helps players to improve their ability in decision making, and also their skills in analyzing report and teamwork. H2! Supply Chain Management Game is played by 4 players per team, where there will be 4 teams competing against each other. The SSG was designed using a Spreadsheet Applications as its basis. It was then tested two times, Prototype 1 and Prototype 2. To deliver the learning points of the game well, this SSG was played in 4 phases. It consists of Briefing, Playing, Debriefing, and Evaluation.
The result of the evaluation phase shows that H2! Supply Chain Management Game can be used to deepen the knowledge of the players. It also helps players to understand supply chain’s important elements which improve their ability in analyzing data and making right decisions.
This research is conducted by Rachel Giovanni Hasibuab, Maya Hashilah, Arry Rahmawan and Akhmad Hidayatno
SEMS Research Highlights 2015: Enabling the Adoption of Alternative Fuel Vehicles – An Approach to Refueling Station Spatial Placements
Posted by systems in Financial Modeling, News, Ports, Logistics and Supply Chain, Research Area, Research Highlights, Technical Area, Urban Industrial Development on 04/09/2015
Refueling station accessibility for more cleaner and greener energy is one of the most important factors in the adoption of alternative fuel vehicles.
If the refueling station is not strategically located, people will be hesitant to adopt the new alternative fuel (such as gas, hydrogen or other type of alternative fuel).
Due to the importance of locations, researcher in System Engineering, Modeling, and Simulation lab of Universitas Indonesia develop an operations research-based spatial-model to determine ideal refueling station locations. Early results has delivered a whopping gain up to 96% demand coverage, while at same time maintained profitability in each individual location.
The model was develop in three stages: demand mapping, spatial simulation and financial screening.
First stage is determining how many refueling stations are needed to cover potential demand within the scope. This is done through a series of calculations: total vehicles converted are multiplied by each vehicle’s fuel demand, subtracted by the amount of existing alternative fuel supply (if some refueling stations already exist), and then divided by an individual station’s capacity. Through these calculations, a number of stations needed to be built can be obtained.
In the second stage, multiple variables are used as input to reflect real-world conditions in a geographic information system-based spatial model. These variables include spatial data, such as the locations of distributed potential demand, already-existing alternative refueling stations, and candidate locations to build the new refueling stations, as well as non-spatial data, like the daily capacity of each refueling station and the maximum distance car owners are willing to travel to reach a station. The model then uses a location-allocation technique—the ‘maximize capacitated coverage’ approach—to determine the ideal locations for every refueling stations. These locations cover the most demand possible while subjecting to the capacity of individual stations.
The final stage is financial screening of the chosen locations. Three economic metrics are used to determine profitability: the NPV, IRR, and payback period. The demand in each location chosen, obtained through the spatial model, is entered into a simple financial model of a refueling station’s operations to reveal the three economic metrics. Afterwards, a final analysis is conducted to determine other alternatives to reach demand points not yet covered, or to replace unprofitable locations.
In this study, the researchers focused on the adoption of natural gas vehicles by public transportation fleets in DKI Jakarta, as the case study. There were four scenarios used, based primarily on the types of candidate locations (to simulate ease of implementation) and the simulated traffic conditions. The resulting locations show a range of 79-96% coverage, with the lower numbers found in traffic jam scenarios. To boost coverage and replace unprofitable locations, there were 2 possible alternatives: constructing stand-alone refueling stations (not constrained by candidate locations) and deploying mobile refueling units (MRUs).
This work has implications for various types of alternative fuel vehicles, not just limited to natural gas. Refueling stations are capital-heavy infrastructures regardless of fuel type, especially for new, still growing vehicle types. The approach used is replicate-able and adjustable for other situations to improve the adoption process.
This research was conducted by Aziiz Sutrisno, Akhmad Hidayatno, Dio Aufa Handoyo, Eka Nugraha Putra
SEMS Research Highlights 2015: Improving the Soekarno Hatta International Airport Utilization as the Main Gate of Indonesia
Posted by systems in Knowledge Area, News, Optimization, Ports, Logistics and Supply Chain, Research Area, Research Highlights, Technical Area on 02/08/2015
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
SEMS Research Highlights 2015: A New Strategy Development Model to Support FLNG Implementation in Indonesia
Posted by systems in Clean and Renewable Energy, Knowledge Area, News, Research Area, Research Highlights, Sustainable Industrial Policy, Technology Policy Transitions on 02/07/2015
Floating Liquefied Natural Gas (FLNG), a relatively new technology in LNG industry, appears as billion dollars attraction to uncover the massive proportion of stranded natural gas reserves. Apparently, one-third of the gas reserves in the world are located in offshore, which in many cases considered to be stranded. As the growing interest to exploit and trade all available gas reserves along with the opportunity to build the offshore LNG facilities, the FLNG gives an ideal solution. FLNG is a natural gas liquefaction and storage system which is placed directly above the gas source using technology that is installed in a ship. The entire value chain of the FLNG will be shorter than the LNG supply chain in general, since it omits the transportation of natural gas via pipeline to onshore plants.
Despite its huge positive potential impacts offered, FLNG construction in Indonesia comprises number of risks and opportunities. One of major risks in the preparation to implement FLNG technology in Indonesia is how to meet the requirements of the local content percentage. In 2013, Indonesia’s Ministry of Energy enacted a regulation of minimum local content for equipment used in the energy industry. However, the current state of local industry capacity still requires significant new development in terms of technical, engineering, and security.
A coordinated effort between relevant actors to develop the industry of FLNG development, especially for the topside structure, is also in-line with the new focus of the Government on Maritime Sector Development. Therefore, a proper multi-actor roadmap is needed to address the complexity as well as ensuring that the overall strategies can be fully understood and well implemented by all relevant parties. This would allow the government to minimize the risk of delays in the implementation and achievement of the targets.
Technology Roadmapping is a method that has been used extensively to support the development of certain types of technology. Since this research took an industrial development for FLNG implementation as a focus of the study, the roadmap is considered appropriate because it has been widely used as a planning tool in some ministries in Indonesia. However, there is a saying that goes “planning without action is futile, action without planning is fatal”. We found that a roadmap is not enough to become a planning tool for the project in this type and scale.
We proposed the integration of Technology Roadmapping and Hoshin Kanri Strategic Deployment Management. Both methods have a similarity in the importance of interactions between stakeholders to support the development and deployment of strategies and policies. Hoshin kanri is incorporated in the roadmap making to provide a clear accountability arrangement and review of the strategies with the existence of clear documentation from planning to review stage.
The proposed integration model comprises four stages process including planning, visioning, strategy and roadmap development, as well as implementation and review. In the end, the planning process would produce two main outputs that become guides in the implementation of strategies. First, a roadmap that describe the strategic plan required at a certain time period. Second, an x-matrix that translates those strategies into tactics and detailed process to achieve each result or target.
This research has managed to find a novel approach to the development of the strategy, which is conducted by integrating the approach of Technology Roadmapping and Hoshin Kanri method and serves them as a strategic planning tool. We are integrating both methods to make a more detail strategy plan that includes strategy development, deployment to all parties, and a system of periodic reviews. To this extent, the research is believed could provide a novel implication by integrating the strengths of the two methods to provide the strategic framework for industrial development in the national sector.
This research is conducted by Akhmad Hidayatno, Aziiz Sutrisno, and Wulan Maulidiah