Periodic supply vessel planning under demand and weather uncertainty. Issue 3 (2nd August 2021)

• Record Type: Journal Article
• Authors: Kisialiou, Yauheni; Gribkovskaia, Irina; Laporte, Gilbert
• Is Part Of: Infor. Volume 59:Issue 3(2021)
• Page Start: 411
• Page End: 438
• Publication Date: 2021-08-02
• Subjects: Supply vessel planning -- offshore logistics -- uncertainty -- reliable vessel schedules -- metaheuristic -- discrete-event simulation -- recourse; Operations research -- Periodicals; Electronic data processing -- Periodicals; Systems engineering -- Periodicals; Systems engineering; Electronic data processing; Periodicals; 003.05
• DOI: 10.1080/03155986.2021.1907872
• Languages: English
• ISSNs: 0315-5986

Abstract

Abstract: We solve a periodic supply vessel planning problem under demand and weather uncertainty, arising in offshore of oil and gas production. Our study is motivated by the case of the Norwegian energy operator Equinor which supplied us with data. The aim is to determine an optimal fleet composition and a least-cost vessel schedule under uncertain demand at the installations and uncertain weather conditions. We present a methodology incorporating a metaheuristic within a discrete-event simulation model which, applied iteratively for the increasing values of reliability level parameters, yields a vessel schedule of least expected cost.