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Modeling and control strategy analysis of gasoline level dynamic in storage tank with nonsimultaneous product filling and withdrawal scenario
Kusumah K.A.a, Ekawati E.a, Hadisupadmo S.a
a Instrumentation and Control Research Group, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Fuel oil availability holds a vital role for economic activity of a country. Gasoline is a type of fuel oil which is quite high in demand. Most fuel engine vehicles, which in charge for commodity distribution, depends on gasoline in order to operate. In Indonesia, gasoline distribution system is controlled mostly by the government via national oil company (Pertamina). The government control most of oil activity, i.e. exploration, production and distribution. Those activities related to one another, and form a vast and complicated supply chain system. An effective and proper management of such large scale system is essential to achieve optimal result. Supply chain management mostly depends on intuition and experience, hence the system become less efficient, including the gasoline supply chain management system in Indonesia. In addition, research related to gasoline supply chain modeling which can accommodate specific condition such as, non simultaneous product filling and withdrawal, up to this time, has not yet been studied. This paper describe the dynamics of gasoline stock in a depot which satisfy the non simultaneous product filling and withdrawal scenario. Furthermore, it is available to accommodate disturbances such as transport delay and demand fluctuation. The model also shows the queue dynamics when depot is in out-of-stock condition. A two-state controller, as an initial trial to anticipate more advance control method, is proposed to overcome such phenomena. © 2013 IEEE.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]back-order,Distribution systems,Gasoline supply,Inventory costs,Modeling and control,National Oil Company,Product flow,Supply chain systems[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]back-order,Gasoline supply chain system,inventory cost,Non-simultaneous product flow[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICA.2013.6734051[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]