TY - JOUR
T1 - Fuel Bunker Management Strategies within Sustainable Container Shipping Operation Considering Disruption and Recovery Policies
AU - De, Arijit
AU - Wang, Junwei
AU - Tiwari, Manoj Kumar
N1 - Funding Information:
Manuscript received October 9, 2018; revised April 2, 2019; accepted June 10, 2019. Date of publication July 9, 2019; date of current version May 19, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 71571156 and Grant 71831006, in part by the Research Grants Council of the Hong Kong Special Administrative Region, China, under Grant T32-101/15-R, in part by the University of Hong Kong through the Seed Fund for Basic Research (201811159163), and in part by the open project funded by State Key Laboratory of Synthetical Automation for Process Industries (PAL-N201802). Review of this manuscript was arranged by Department Editor B. Jiang. (Corresponding author: Junwei Wang.) A. De is with the Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, and also with Newcastle University Business School, NE1 7RU Newcastle upon Tyne, U.K. (e-mail: [email protected]).
Publisher Copyright:
© 1988-2012 IEEE.
PY - 2019/7/9
Y1 - 2019/7/9
N2 - This paper endeavors to explore the sustainable container shipping problem considering fuel bunker management and provide adequate recovery policies for countering disruption within maritime transportation. This paper addresses the environmental concerns related to fuel consumption and carbon emission within shipping operations and simultaneously presents strategies for countering disruption within the maritime transportation domain. Several studies addressed bunker fuel management strategies, but overlooked the need for integrating it with shipping operations. This paper aims to bridge this research gap by proposing a novel mathematical model and presenting a heuristic procedure combined with a variable neighborhood search algorithm for maximizing the shipping company's profitability, while addressing the vessel routing and scheduling decisions, container loading and unloading operations, selection of bunkering ports, and determining bunkered amount for heavy fuel oil and marine diesel oil. Recovery strategies such as port swapping and rescheduling of vessel route are considered to deal with disruptions related to weather adversities. An illustrative example is presented depicting the realistic scenario and providing results associated with ship routes, vessel speed, bunkering ports, bunkered amounts, fuel consumed by the vessel on each sailing leg, arrival and departure time of the ships, etc. Insights obtained from the analysis performed based on the fuel price, ship's bunkering capacity, adverse weather conditions on various routes, port closure, carbon tax, and fuel consumption provide useful information for shipping company managers. Managerial implications are presented with regard to the impact of fuel prices and carbon tax on shipping operation from the perspective of overall operational cost. Moreover, the results provide important policy insights for shipping company managers in terms of possessing alternate vessel route options for normal scenario and disrupted scenarios including weather adversities on sailing leg or port closure.
AB - This paper endeavors to explore the sustainable container shipping problem considering fuel bunker management and provide adequate recovery policies for countering disruption within maritime transportation. This paper addresses the environmental concerns related to fuel consumption and carbon emission within shipping operations and simultaneously presents strategies for countering disruption within the maritime transportation domain. Several studies addressed bunker fuel management strategies, but overlooked the need for integrating it with shipping operations. This paper aims to bridge this research gap by proposing a novel mathematical model and presenting a heuristic procedure combined with a variable neighborhood search algorithm for maximizing the shipping company's profitability, while addressing the vessel routing and scheduling decisions, container loading and unloading operations, selection of bunkering ports, and determining bunkered amount for heavy fuel oil and marine diesel oil. Recovery strategies such as port swapping and rescheduling of vessel route are considered to deal with disruptions related to weather adversities. An illustrative example is presented depicting the realistic scenario and providing results associated with ship routes, vessel speed, bunkering ports, bunkered amounts, fuel consumed by the vessel on each sailing leg, arrival and departure time of the ships, etc. Insights obtained from the analysis performed based on the fuel price, ship's bunkering capacity, adverse weather conditions on various routes, port closure, carbon tax, and fuel consumption provide useful information for shipping company managers. Managerial implications are presented with regard to the impact of fuel prices and carbon tax on shipping operation from the perspective of overall operational cost. Moreover, the results provide important policy insights for shipping company managers in terms of possessing alternate vessel route options for normal scenario and disrupted scenarios including weather adversities on sailing leg or port closure.
KW - Bunker fuel management
KW - bunker fuel price
KW - bunkering port
KW - disruption within shipping logistics
KW - maritime transportation
KW - variable neighborhood search (VNS)
KW - vessel speed
UR - http://www.scopus.com/inward/record.url?scp=85069947515&partnerID=8YFLogxK
U2 - 10.1109/TEM.2019.2923342
DO - 10.1109/TEM.2019.2923342
M3 - Article
AN - SCOPUS:85069947515
SN - 0018-9391
VL - 68
SP - 1089
EP - 1111
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
IS - 4
M1 - 8758221
ER -
