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"This report contains research and analysis of data along with a solution design that is readily implementable in the organization at hand. Bullenbay Oil Terminal is a subsidiary of the Isla Refinery Curacao B.V.; the operations at the terminal consist of importing and exporting crude petroleum products on a daily basis, storage of products for Isla Refinery, and renting storage tanks with PDVSA Almaex. Therefore, only vessels appointed by PDVSA Almaex, which is the Client in this case, may dock to load or unload crude petroleum products. The vessels that dock on behalf of Isla Refinery are also appointed by PDVSA, but do not form part of the Almaex operations.\nThere has been an increase in portcalls during the last three years, reflecting hereby an increase in demand from PDVSA Almaex. This is beneficial for both parties seeing that the higher the throughput, the lower the storage rental costs become for PDVSA Almaex. On the other hand, more portcalls means more throughput, which means more revenues for the terminal. However, because of the increase in demand, the terminal has encountered a low level of availability of jetties and cannot satisfy all of the demand resulting in loss of opportunities.\nThe research was carried out to deduce the possibilities to increase the availability of jetties at the terminal and provide more opportunities to manage the increase in demand. The analysis measured the overall capacity of the terminal using indicators found in literature. Then the optimum and maximum capacity levels were calculated. Because this type of trade handles with a certain commodity type, any disconformities could result in penalization. That is why several risk levels were defined for the capabilities of the terminal.\nAlternative operations were found in literature that provide a higher availability of jetties and also at the same time achieve higher revenues. A capacity measuring tool was developed that monitors the number of planning windows and potential portcalls that the terminal can manage on a monthly basis according the various risk levels. The capacity model also serves as a decision making tool on how to manage the demand from PDVSA Almaex."
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