Abstract
This paper investigates the impact of fuel consumption on ship routing and scheduling problem. In current trends, the anthropogenic emission due to excess fuel consumption is a topic of intense debate in the global world ship trading society. We have modelled a problem as a mixed integer nonlinear programming (MINLP), which encounters the issues related to routing, fuel consumption, and customer demand. A meta-heuristic approach controlled elitist non-sorting genetic algorithm (CENSGA) has been proposed to solve the bi-objective problem. Finally, the utility of the model is demonstrated by a case study.
| Original language | English |
|---|---|
| Pages (from-to) | 161-175 |
| Number of pages | 15 |
| Journal | International Journal of Shipping and Transport Logistics |
| Volume | 11 |
| Issue number | 2-3 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
Keywords
- Carbon emission
- Meta-heuristic
- Mixed integer nonlinear programming
- Ship routing
ASJC Scopus subject areas
- Business and International Management
- Transportation
- Management Science and Operations Research
- Management of Technology and Innovation