Continuous-time scheduling of tanker lightering in crude oil supply chain

Xiaoxia Lin; Emmanuel D. Chajakis; Christodoulos A. Floudas

doi:10.1016/S1570-7946(03)80602-8

Continuous-time scheduling of tanker lightering in crude oil supply chain

Xiaoxia Lin, Emmanuel D. Chajakis, Christodoulos A. Floudas

School of Business

Stevens Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

This paper address the scheduling of marine vessels for the crude oil tanker lightering process. A novel continuous-time mathematical formulation is developed based on the concept of event points proposed in earlier work on scheduling of chemical processes [1-5]. A sequence of event points is introduced for each vessel and binary variables are defined to determine whether or not at each event point the vessel is to start a task consists of docking/undocking, pumping oil, and traveling. The model leads to a Mixed-Integer Linear Programming (MILP) problem, which can be solved to global optimality efficiently. A case study will be presented and the computational result demonstrates the effectiveness of the proposed approach.

Original language	English
Pages (from-to)	547-552
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	15
Issue number	C
DOIs	https://doi.org/10.1016/S1570-7946(03)80602-8
State	Published - 2003

ASJC Scopus subject areas

General Chemical Engineering
Computer Science Applications

Keywords

MILP
continuous-time formulation
crude oil supply chain
marine petroleum transportation
ship scheduling
tanker lightering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S1570-7946(03)80602-8

Cite this

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title = "Continuous-time scheduling of tanker lightering in crude oil supply chain",

abstract = "This paper address the scheduling of marine vessels for the crude oil tanker lightering process. A novel continuous-time mathematical formulation is developed based on the concept of event points proposed in earlier work on scheduling of chemical processes [1-5]. A sequence of event points is introduced for each vessel and binary variables are defined to determine whether or not at each event point the vessel is to start a task consists of docking/undocking, pumping oil, and traveling. The model leads to a Mixed-Integer Linear Programming (MILP) problem, which can be solved to global optimality efficiently. A case study will be presented and the computational result demonstrates the effectiveness of the proposed approach.",

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T1 - Continuous-time scheduling of tanker lightering in crude oil supply chain

AU - Lin, Xiaoxia

AU - Chajakis, Emmanuel D.

AU - Floudas, Christodoulos A.

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Y1 - 2003

N2 - This paper address the scheduling of marine vessels for the crude oil tanker lightering process. A novel continuous-time mathematical formulation is developed based on the concept of event points proposed in earlier work on scheduling of chemical processes [1-5]. A sequence of event points is introduced for each vessel and binary variables are defined to determine whether or not at each event point the vessel is to start a task consists of docking/undocking, pumping oil, and traveling. The model leads to a Mixed-Integer Linear Programming (MILP) problem, which can be solved to global optimality efficiently. A case study will be presented and the computational result demonstrates the effectiveness of the proposed approach.

AB - This paper address the scheduling of marine vessels for the crude oil tanker lightering process. A novel continuous-time mathematical formulation is developed based on the concept of event points proposed in earlier work on scheduling of chemical processes [1-5]. A sequence of event points is introduced for each vessel and binary variables are defined to determine whether or not at each event point the vessel is to start a task consists of docking/undocking, pumping oil, and traveling. The model leads to a Mixed-Integer Linear Programming (MILP) problem, which can be solved to global optimality efficiently. A case study will be presented and the computational result demonstrates the effectiveness of the proposed approach.

KW - MILP

KW - continuous-time formulation

KW - crude oil supply chain

KW - marine petroleum transportation

KW - ship scheduling

KW - tanker lightering

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DO - 10.1016/S1570-7946(03)80602-8

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JO - Computer Aided Chemical Engineering

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Continuous-time scheduling of tanker lightering in crude oil supply chain

Abstract

ASJC Scopus subject areas

Keywords

UN SDGs

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