Oil Refinery Supply Chain Modelling Using Pipe Transportation Simulator
This paper describes an application of Pipe Transportation Simulator (PTS) in oil refinery supply chain modelling. We develop the simulator in Witness simulation software environment using MS Excel for input data loading and outputs upgrading. PTS is particularly suitable for “what-if” analysis in the crude oil, fuels or gas supply chains where the products are transported among warehouses and refineries through the pipe lines. To discuss the basic functionality of proposed simulator we employ PTS to simulate a real oil refinery supply chain consisting of 16 warehouses and 3 refineries placed in the Czech Republic and Slovakia. The refineries and warehouses are connected together with 21 pipe lines. PTS is used to verify a plan of fuels movements among warehouses and refineries as well as a plan of repairs of certain pipe lines in the selected time period of the length of 30 days.
Keywords: Discrete Event Simulation, Supply Chain Management, Oil Refinery Supply Chain, Agent-Based Modelling
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ABOUT THE AUTHORS
Jakub Dyntar
Jakub Dyntar received his Ph.D. in Chemical and Process Engineering, Economics and Management from Institute of Chemical Technology Prague (ICT) in June 2009. He is currently Assistant Professor at the Department of Economics and Management of ICT and the head of its logistics consulting team. In his work he focuses on the applications of discrete event simulation in supply chain modelling and on the forecasting and stock management of products with intermittent demand.
Jan Skvor
Jan Škvor took his degree in Economics and Management, in June 2010 from Institute of Chemical Technology Prague. He is currently Ph.D. student at the Department of Economics and Management of Institute of Chemical Technology Prague and the member of its logistics consulting team. In his work he focuses on the applications of discrete event simulation in supply chain modelling and on the effective design of supply systems using evolutionary algorithms.
Jakub Dyntar
Jakub Dyntar received his Ph.D. in Chemical and Process Engineering, Economics and Management from Institute of Chemical Technology Prague (ICT) in June 2009. He is currently Assistant Professor at the Department of Economics and Management of ICT and the head of its logistics consulting team. In his work he focuses on the applications of discrete event simulation in supply chain modelling and on the forecasting and stock management of products with intermittent demand.
Jan Skvor
Jan Škvor took his degree in Economics and Management, in June 2010 from Institute of Chemical Technology Prague. He is currently Ph.D. student at the Department of Economics and Management of Institute of Chemical Technology Prague and the member of its logistics consulting team. In his work he focuses on the applications of discrete event simulation in supply chain modelling and on the effective design of supply systems using evolutionary algorithms.
