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Integrated scheduling and inventory management of an oil products distribution system

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  • Relvas, Susana
  • Boschetto Magatão, Suelen N.
  • Barbosa-Póvoa, Ana Paula F.D.
  • Neves, Flávio

Abstract

The oil supply chain is facing new challenges due to emerging issues such as new alternative energy sources, oil sources scarcity, and price variability with high impact on demand and production and profit margins reduction. Additionally, the existence of large, complex and world wide spread businesses implies a complex system to be managed where distribution can be seen as one of the key areas that needs to be efficiently and effectively managed. Different types of distribution modes characterize the oil supply chain where the pipeline mode is one of the most complex to operate when having multiproduct characteristics. This paper addresses the planning of a generic oil derivatives transportation system characterized by a multiproduct pipeline that connects a single refinery to a storage tank farm. Two alternative mixed integer linear programming models (MILP) that aim to attain a set of planning objectives such as fulfilling costumers’ demands (which is mandatory) while minimizing the medium flow rate are developed. Additionally, final inventory levels are avoided to be excessively low. A real world scenario of a Portuguese company is used to validate and compare the two alternative MILP models developed in this paper.

Suggested Citation

  • Relvas, Susana & Boschetto Magatão, Suelen N. & Barbosa-Póvoa, Ana Paula F.D. & Neves, Flávio, 2013. "Integrated scheduling and inventory management of an oil products distribution system," Omega, Elsevier, vol. 41(6), pages 955-968.
  • Handle: RePEc:eee:jomega:v:41:y:2013:i:6:p:955-968
    DOI: 10.1016/j.omega.2013.01.001
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    1. Goetschalckx, Marc & Vidal, Carlos J. & Dogan, Koray, 2002. "Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms," European Journal of Operational Research, Elsevier, vol. 143(1), pages 1-18, November.
    2. Liu, Songsong & Papageorgiou, Lazaros G., 2013. "Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry," Omega, Elsevier, vol. 41(2), pages 369-382.
    3. Georgiadis, Michael C. & Tsiakis, Panagiotis & Longinidis, Pantelis & Sofioglou, Maria K., 2011. "Optimal design of supply chain networks under uncertain transient demand variations," Omega, Elsevier, vol. 39(3), pages 254-272, June.
    4. Furkan Uzar, M. & Çatay, Bülent, 2012. "Distribution planning of bulk lubricants at BP Turkey," Omega, Elsevier, vol. 40(6), pages 870-881.
    5. Knust, Sigrid & Schumacher, Elisabeth, 2011. "Shift scheduling for tank trucks," Omega, Elsevier, vol. 39(5), pages 513-521, October.
    6. Boctor, Fayez F. & Renaud, Jacques & Cornillier, Fabien, 2011. "Trip packing in petrol stations replenishment," Omega, Elsevier, vol. 39(1), pages 86-98, January.
    7. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
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    Cited by:

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    2. Wolfgang Albrecht & Martin Steinrücke, 2020. "Continuous-time scheduling of production, distribution and sales in photovoltaic supply chains with declining prices," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 629-667, September.
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    4. Jonek-Kowalska Izabela, 2014. "Financial aspects of changes in the level of finished goods inventory in a mining enterprise," Gospodarka Surowcami Mineralnymi / Mineral Resources Management, Sciendo, vol. 30(4), pages 1-20, December.
    5. Sağlam, Ümit & Banerjee, Avijit, 2018. "Integrated multiproduct batch production and truck shipment scheduling under different shipping policies," Omega, Elsevier, vol. 74(C), pages 70-81.
    6. Kirschstein, Thomas, 2018. "Planning of multi-product pipelines by economic lot scheduling models," European Journal of Operational Research, Elsevier, vol. 264(1), pages 327-339.
    7. Xiaofeng Xu & Ziru Lin & Jing Zhu, 2022. "DVRP with limited supply and variable neighborhood region in refined oil distribution," Annals of Operations Research, Springer, vol. 309(2), pages 663-687, February.
    8. Matsumoto, Ken׳ichi & Andriosopoulos, Kostas, 2016. "Energy security in East Asia under climate mitigation scenarios in the 21st century," Omega, Elsevier, vol. 59(PA), pages 60-71.
    9. Longinidis, Pantelis & Georgiadis, Michael C., 2014. "Integration of sale and leaseback in the optimal design of supply chain networks," Omega, Elsevier, vol. 47(C), pages 73-89.
    10. Rossi, Roberto & Kilic, Onur A. & Tarim, S. Armagan, 2015. "Piecewise linear approximations for the static–dynamic uncertainty strategy in stochastic lot-sizing," Omega, Elsevier, vol. 50(C), pages 126-140.

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