An MILP model for scheduling the operation of a refined petroleum products distribution system
Ali Zaghian () and
Hossein Mostafaei ()
Additional contact information
Ali Zaghian: Malek Ashtar University of Technology
Hossein Mostafaei: Islamic Azad University
Operational Research, 2016, vol. 16, issue 3, No 7, 513-542
Abstract:
Abstract Transportation is one of the core components of the oil supply chain which needs rigorous optimization tools. Refined product pipelines are the preferred transportation option compared with other ones such as rail, road tankers and coastal vessels because they are reliable and economical. The problem discussed in this paper is short-term scheduling of a generic oil products transportation system characterized by a multi-product pipeline that connects a unique refinery to several distribution centers serving local markets. A novel mixed integer linear programming (MILP) formulation based on a continuous representation in both time and volume scales is presented. The problem goal is to meet product demands at minimum total cost including pumping, interface, flow restart and ON/OFF pump switching costs. To illustrate the proposed approach, three real-world examples are solved. The results show significant improvements in solution quality coupled with a reduced in computational burden compared to previous similar works.
Keywords: Short-term; Scheduling; Multiproduct pipeline; MILP; Continuous representation (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s12351-015-0212-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:16:y:2016:i:3:d:10.1007_s12351-015-0212-y
Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351
DOI: 10.1007/s12351-015-0212-y
Access Statistics for this article
Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis
More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().