Scheduling Optimization of Offshore Oil Spill Cleaning Materials Considering Multiple Accident Sites and Multiple Oil Types

Kai Li, Hongliang Yu (), Yiqun Xu () and Xiaoqing Luo
Additional contact information
Kai Li: School of Marine Engineering, Jimei University, Xiamen 361021, China
Hongliang Yu: School of Marine Engineering, Jimei University, Xiamen 361021, China
Yiqun Xu: School of Marine Engineering, Jimei University, Xiamen 361021, China
Xiaoqing Luo: College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China

Sustainability, 2022, vol. 14, issue 16, 1-19

Abstract: Coastal governments have been preventing and controlling pollution in the marine environment by enhancing the construction of hardware and software facilities. The dispatch of offshore oil spill cleaning materials must be upgraded and optimized to cope with repeated offshore oil leak incidents while simultaneously improving cleaning efficiency and the ability to resist oil spill hazards. Accordingly, we set up a multiobjective optimization model with time window constraints to solve the scheduling optimization problem of offshore oil spill accidents with multiple locations and oil types. This model integrates the minimal sum of fixed costs, fuel consumption costs, maximum load violation costs, and time window penalty costs to solve the scheduling optimization problem of an offshore oil spill accident. An improved genetic algorithm is designed to solve the proposed mathematical model effectively and to make a scientific decontaminated decision-scheduling scheme. The practicality of the model and algorithm is validated by using a specific instance, demonstrating that the suggested method can effectively solve the schedule optimization problem for cleaning materials.

Keywords: emergency management; offshore oil spill; decontamination material scheduling; improved genetic algorithm; time window; multiobjective optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/16/10047/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/16/10047/ (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:gam:jsusta:v:14:y:2022:i:16:p:10047-:d:887575

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().