Optimal Planning for Transportation of Petroleum Products via Pipe-line According to the Demand Time Window for Minimizing Costs (in Persian)

Farhad Faraje, Mehrdad Alimoradi (), Babak Farhang Moghaddam () and Mahdi Fadaee ()
Additional contact information
Farhad Faraje: Institute for Management and Planning Studies, Tehran, Iran.
Mehrdad Alimoradi: Department of Systems Planning and Economic Sciences, Institute for Management and Planning Studies, Tehran, Iran.
Babak Farhang Moghaddam: Department of Systems Planning and Economic Sciences, Institute for Management and Planning Studies, Tehran, Iran.
Mahdi Fadaee: Department of Systems Planning and Economic Sciences, Institute for Management and Planning Studies, Tehran, Iran.

The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه), 2022, vol. 27, issue 3, 175-221

Abstract: The use of pipelines is the most effective and safest method of transporting large-scale petroleum products from the refinery to the storage and distribution centers. Efficient and optimal planning in multi-product pipelines is important from economic, social, and strategic points of view. In this paper, a Mixed Integer Linear Programming (MILP) model with a continuous time framework is presented to determine not only the batches' optimal injection and volume, but also their sequence and timing. The goal is to minimize the costs of pumping, storage, mixing, and delayed demands regarding all operational constraints in the problem. This paper investigates the planning of transportation of petroleum products via a one-direction multi-product pipeline with an injection source at the origin and several distribution centers along the way. The supposition of this problem regards a multi-period planning horizon with a time window for the total demands of the distribution centers, which must be provided until the end of the program horizon. The case study is a pipeline with a length of 457 km that delivers 6 petroleum products to 4 distribution centers. Two examples of the mentioned case study are presented to demonstrate the advantages of using the Mixed Integer Linear Programming model. The evaluation and validation of the plan is confirmed by comparing it with the operational plan realized in Iran Oil Pipelines and Telecommunications Company. The results imply a significant improvement in pipeline scheduling and cost reduction by applying the mathematical model.

Keywords: Multiproduct Pipelines; Optimal Scheduling; Transportation of Petroleum Products; Mixed Integer Linear Programming (MILP); Demand Time Window (search for similar items in EconPapers)
JEL-codes: C02 C41 C44 C61 C63 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://jpbud.ir/article-1-2146-en.pdf (application/pdf)
http://jpbud.ir/article-1-2146-en.html (text/html)
http://jpbud.ir/article-1-2146-fa.html (text/html)

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:auv:jipbud:v:27:y:2022:i:3:p:175-221

Access Statistics for this article

More articles in The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه) from Institute for Management and Planning studies Contact information at EDIRC.
Bibliographic data for series maintained by Nahid Jebeli ( this e-mail address is bad, please contact ).