DYNAMIC SCHEDULING MODELLING OF JETTY AT FUEL OIL TERMINAL PONTIANAK USING DISCRETE-EVENT SYSTEMS AND MODEL PREDICTIVE CONTROL
Terminal BBM (TBBM) are units that receive large volumes of BBM products and then distribute them to various service areas, both industrial and retail. The location of TBBM Pontianak is in the middle of residential areas and close to the Sungai Kapuas. There are 2 types of jetties at TBBM, namely je...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/68654 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Terminal BBM (TBBM) are units that receive large volumes of BBM products and then distribute them to various service areas, both industrial and retail. The location of TBBM Pontianak is in the middle of residential areas and close to the Sungai Kapuas. There are 2 types of jetties at TBBM, namely jetties for supply (jetties 1 and 2) and a jetty for consignment (jetty 3). The berth allocation is not working efficiently. This is indicated by the average waiting time for ships at jetty 1, jetty 2, and jetty 3, respectively, 17.69 hours, 18.26 hours, and 2.11 hours. The UNCTAD 2021 standard states that the average waiting time for ships is 14 hours. The root cause of the problem raised in this research is the inefficient berth allocation. The purpose of this study is to minimize the total waiting time of the ship as well as minimize berth occupancy ratio (BOR) and the cost of chartering the ship (charter fee).
Approaches in this research are modelling with discrete-event systems (DES). Modelling with the DES method is chosen due to the characteristics of the berth allocation status that change from time to time. The berth allocation involves several status variables, namely starting time of berthing, remaining operating time, and time of completion of berthing. The optimization of the DES model is carried out using model predictive control (MPC). There are two scenarios, namely scenario 1 that consider the tides, and scenario 2 that does not consider the tides.
Compared to the existing berth allocation, from the model output, the average waiting time for ships at the jetty for supply (jetty 1 and 2) becomes 8.15 hours and 0.24 hours, respectively for scenarios 1 and 2. Average waiting time for ships at the jetty for consignment (jetty 3) to 1.83 hours and 1.43 hours respectively for scenarios 1 and 2.
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