[go: up one dir, main page]

Beşikçi et al., 2016 - Google Patents

An application of fuzzy-AHP to ship operational energy efficiency measures

Beşikçi et al., 2016

View PDF
Document ID
11424223125387104134
Author
Beşikçi E
Kececi T
Arslan O
Turan O
Publication year
Publication venue
Ocean engineering

External Links

Snippet

Lowering fuel consumption of ships has gained a great deal of attention in maritime industry with regards to both environmental and economic concerns. The potential for fuel economy in shipping ranging between 25% to 75% is possible by using existing technology and …
Continue reading at strathprints.strath.ac.uk (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis

Similar Documents

Publication Publication Date Title
Beşikçi et al. An application of fuzzy-AHP to ship operational energy efficiency measures
Armstrong Vessel optimisation for low carbon shipping
Beşikçi et al. An artificial neural network based decision support system for energy efficient ship operations
Smith et al. Analysis techniques for evaluating the fuel savings associated with wind assistance
Kimera et al. Maintenance practices and parameters for marine mechanical systems: a review
Kee et al. Prediction of ship fuel consumption and speed curve by using statistical method
Lee et al. Seafarers’ awareness-based domain modelling in restricted areas
Cepowski et al. Measurement-based relationships between container ship operating parameters and fuel consumption
Xie et al. Joint optimization of ship speed and trim based on machine learning method under consideration of load
Astrein et al. Multicriteria assessment of optimal forecasting models in decision support systems to ensure the navigation safety
Nikolopoulos et al. A methodology for the holistic, simulation driven ship design optimization under uncertainty
Oke et al. An approach for evaluating preventive maintenance scheduling cost
Łosiewicz et al. Practical Application of Ship Energy Efficiency Management Plan
Degiuli et al. Slow Steaming as a Sustainable Measure for Low-Carbon Maritime Transport
Martelli et al. Holistic modeling of the global propulsion energy index in waves for small craft
Ait Allal et al. Ship operational measures implementation’s impact on energy-saving and GHG emission
Banks Operational practices to improve ship energy efficiency
Sørstrand A decision support model for merchant vessels operating on the Arctic sea
Vigna et al. A ship energy efficiency analysis by considering trim influence and waste recycling
Lang Data-Driven Ship Performance Models--Emphasis on Energy Efficiency and Fatigue Safety
Lim et al. Ship performance-using the real world as a laboratory
Bushehri et al. Propulsion System Matching Analysis of a Catamaran Passenger Ship by Changing the Gear Ratio
Nikolopoulos et al. Applications of holistic ship theory for the simulation driven optimization of the design and operation of large bulk carriers
Kaminski Implementation of energy efficiency management in shipping companies and ships in operation
Karatuğ Evaluation of just in time strategy regarding carbon intensity indicator