Archive for category Knowledge Area

This is What You Should Do When You Have No Doraemon’s Magical-Anywhere-Door

There are times when we wish Doraemon’s magical-anywhere-door really does exist. If so, we can reach our destination without having to travel miles in a long time. But, since Doraemon does not exist, fortunately there is something we can do to at least save the mileage and time we sacrificed to travel from one to another places. Especially in case of post men or delivery couriers who have to visit a lot of destinations in such limited amount of time and capability.

Recently, a research assistant from Systems Engineering, Modeling, and Simulation Laboratory from Industrial Engineering major, Universitas Indonesia is conducting a research about Vehicle Routing Problem with Time Windows to optimize distribution route and schedule. It was first inspired by Indonesia’s current logistic condition which is still not optimal. It is proven by the decreasing index of Indonesia’s logistic performance during the past five years. One of the reason is the high Indonesia’s logistic cost which can be considered as the highest logistic cost in the world. And the one that contributes almost half of the logistic cost is transportation cost.

On the other side, customer needs are rising annually. Moreover, the growing online shopping market create an increasing demand of same-day delivery service. Based on McKinsey survey, online retailers as the main originator of B2C shipments, have a large interest to reduce delivery time in order to foster the products sale. Therefore, we need a better planning of distribution route and schedule, especially for delivery service providers and courier companies.

The purpose of research conducted at SEMS Laboratory about Vehicle Routing Problem with Time Windows (VRPTW) is to find the most optimum distribution route with lowest total distance yet still manage to fulfill all demand and considering the constraints of vehicle capacity and customers’ time windows.

Since VRPTW belongs to NP-hard optimization problems, our researcher used heuristic method which is translated to Netbeans 8.1 software in C++ programming language. They also use local search to perform simple iterations to produce fairly accurate solutions. Local search methods which are used in this study are exchange, two-opt, and insert. They can be applied to customers in the same route (intra-route) and customers in different routes (inter-route). Basically, these methods perform some iterations of moves that determine the most optimum combination and sequence of customers to visit. This will be finalized by using Lin Kernighan Helsgaun algorithm. The iteration will stop once it can not generate a better solution.

Fig 1. Illustration of 2-opt intra-route move

Fig 1. Illustration of 2-opt intra-route move

The resulting improvements will ultimately result in reduced transportation costs. Thus, vehicle routing problem with time windows can be a solution for urban logistic problems. So, when you do not have any Doraemon’s magical door, make yourself sure that at least you have a well-planned distribution route and schedule!

This Research is Conducted by Vincencia Sydneyta and Dr. Komarudin

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How Should Indonesia Manage Their Transition to Cleaner Energy Consumption? Reflecting Back

flame-871136_640The threat of fossil energy scarcity due to massive usage over the last few years and the harm of fossil energy to the environment has prompted countries to consider energy transition to their alternative energy (cleaner and renewable energy), to keep the balance of their environment system. Including Indonesia, where 60% of their energy consumption since 2000 lean on the fossil energy, especially in oil energy. Indonesia’s oil consumption has been higher than its consumption since 2004, which cause Indonesia’s to import tons of barrel of oil every year. The crisis of Indonesia’s energy consumption rises when in 2008, global oil prices increase rapidly which shaken most of the world’s energy and economic system.

To handle the crisis, Indonesia since 2007 has successfully executed an energy transition program, named “Conversion Program from Kerosene to LPG (Liquefied Petroleum Gas)” which targeted household and small business consumption. The program has managed to increase the LPG consumption and reduce energy subsidies by 197 million rupiahs by 2012. This program is highlighted since Indonesia has not yet considered being successful in executing similar programs, which is the conversion program from petrol to gas fuel for road transportation.

In the future, Indonesia will be facing lot more transition program, to the cleaner and renewable energy, as can be seen on Indonesia energy mix. This indicates the needs to evaluate the successful and the unsuccessful system of the implemented energy transition program in Indonesia.

SEMS aim to explore the government policy structure which believed has a strong role to support or block people adoption on the conversion program of kerosene to LPG. Using System Dynamic Modelling, researchers propose to design a model which describe the system of conversion program and analyze the interactions among variables within the system of the successful conversion program. Furthermore, the analysis of the research also comparing government policy structure between the successful and the unsuccessful program.

The simulation of system dynamic shows that from the sets of policy intervention on the conversion program kerosene to LPG, kerosene supply withdrawal and the government push to increase production capacity of supporting equipment has a huge influence to support the energy transition program. From the comparison between the successful and the unsuccessful conversion program in Indonesia, researchers can indicate some differences. However, the most importance policy intervention in conversion program of kerosene to LPG, kerosene withdrawal and government push to increase production capacity of supporting equipment, has not yet implemented in conversion program from petrol to gas fuel to for road transportation.

This research is conducted by Theresa Devina and Akhmad Hidayatno

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How to optimize unequal area facility layout to maximize storage

work-1713103_640Facility layout problem, especially with the unequal departmental area (UAFLP), is one of the problems studied in combinatorial optimization and has received the attention of many researchers in the past decade. The goal of UAFLP is to allocate departments into a facility to obtain the most efficient arrangement. The UAFLP study has a final objective to minimize the total cost of material handling between departments.

Competition in today’s business world is inevitable. Increasing the quality of productivity becomes one of the keys to success in facing competition with business management effectively and efficiently. This can happen by maximizing existing resources ie employees, machines, and other facilities. Therefore, the industry needs to be able to optimize production capability and effectiveness to face competitors. The production process becomes the key that needs to be managed effectively to minimize production costs with higher effectiveness.

Facility layout design has a close reinforcement to the size of the physical arrangement of elements in a manufacturing and service system, such as department, machinery, operational tools, and so on. The purpose of the facility layout design is the design with the minimum material handling cost. With proper facility layout, material handling costs can be reduced. In general, material handling contributes about 20-50 percent of the total. Reduction in the company’s operational costs, along with the increased efficiency of the production system becomes a necessity that every industry needs to do.

The problem of facilities layout that is often the researcher’s attention is Unequal Area Facility Layout Problem (UAFLP). Initially, UA-FLP was developed by Armor and Buffa (1963). They explain that there is a rectangular facility with a fixed Width and Height and several (n) departments that need to be allocated to the facility. There are some problems that have not found the optimal solution and require a long computation time. The goal is to reduce non-feasible solutions to reduce the complexity of possible solutions.

This research will develop a mathematical model using Mixed Integer Programming method based on Flexible Bay Structure. Some additional constraint functions will be attempted to be added to the model. Testing is done by comparing the effect of each additional constraint function that has different approaches in cutting the complexity of possible solutions. The comparison result of the combination of the constraint function used indicates which constraint function has a major influence in reducing the computation time of the model.

This research concludes that all simulated problem sets using additional constraints in the model can provide better computation time than before. The effect that occurs can be the value of the solution becomes not optimum or remain optimum. All computational time gives significant improvement.

This research is conducted by Randa Adi Saputra and Komaruddin

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Does the power of Social Media influences E-Commerce Business?

ecommerce-2140603_640Social media has become a great part of someone’s life. People can’t wait to update their social media accounts, or at least get updated about the world simply by watching their timeline. Social media here is defined as every internet-based application that allows you to create and exchange contents with other people around the globe.  The number of Internet users in Indonesia has reached 132.7 million people in 2016. With a number this high, Internet also is seen as a potential business platform. In 2016 the total of e-commerce in Indonesia has reached 26.2 million units, with its biggest selling product is in the fashion segment. Internet is not only giving advantages for companies for their business, but also some threats regarding the tougher competition in the market, especially for e-commerce companies.

A study has found that marketing through social media gave significant effect on increasing trust and loyalty of customers towards a brand. Therefore, companies see social media as a potential marketing medium, to retain their competitiveness in the market. By increasing their customers’ trust and loyalty towards their brand, companies can focus on expanding their market and gaining new customers.

According to several papers that this research was based on, there are five social media marketing (SMM) factors, (1) Website Security, (2) Clear & updated website, (3) Social media tools activity, (4) Online advertisement, and (5) Online interactivity. The result of this research shows that three of those factors, which are (1) Clear & updated website, (2) Online advertisement, and (3) Online interactivity, give significant effect on customer’s brand trust. While brand trust gives significant effect on brand loyalty. Therefore it can be concluded that those 3 factors of SMM give also significant effect in brand loyalty indirectly through brand trust.

We develop a structural equation model (SEM) to see which and how each social media factors influencing the buying behavior of the customer. Our models show that there are 3 factors that must be the focus of the e-commerce sites when using the social media platform.

This research is conducted by Annissa Tayara Callista and Akhmad Hidayatno

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Educating society about energy transition through excitement of a game? Why not!

Transergy WelcomeThe increase of energy consumption especially in the form of oil is being an issue for certain countries including Indonesia. Within the rise of 3.99% of energy consumption annually, transportation sector having the largest portion of energy consumption (Indonesia Outlook Energy, 2016). There are 17.523.967 vehicles in Jakarta, the capital of Indonesia, with 74.66% of the numbers are motorbikes and 18.64% are cars. The use of oil in most land transportation vehicles has lead oil to be the most used fuel by the market share of 32% compared to other type of fuel. Unfortunately, the oil production in Indonesia has been constantly decreased within 4.41% per year. It leads Indonesia to be the net importer of oil and depending on the oil supply by other countries. The condition of being net importer of oil having many effects of short and long run in Indonesia’s economic. Vacation Menuthe respond to the increase of oil consumption, the government releasing an energy diversification program to reduce oil consumption by substitute the oil to other type of fuel like gas, biofuel, renewable energy and many others. One of the diversification plan is the conversion of oil to natural gas program. This program has been conducted since 1987, however until 2011 it only achieved 0.03% conversion rate. Based on the study from Bureau of Oil and Gas, one of the success key for conversion from oil to gas program is through education and socialization to the society. Conversion from oil to gas is a kind of energy transition which is defined by Chappin (2011) as the socio-technical transition in the scale of sector. To do the simulation about energy transition physical and social components from the energy transition system needs to be captured.

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