This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Adland, R., Cariou, P., and Wolff, F. C. (2020) Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet. Transportation Research Part E: Logistics and Transportation Review, 140,101972. DOI: 10.1016/j.tre.2020.101972.Search in Google Scholar
Al Zaabi, S., Al Dhaheri, N. and Diabat, A. (2013) Analysis of interaction between the barriers to the implementation of sustainable supply chain management. The International Journal of Advanced Manufacturing Technology, 68, 895-905. DOI: 10.1007/s00170-013-4951-8.Search in Google Scholar
Albertijn, S., Bessler, W., and Drobetz, W. (2011) Financing shipping companies and shipping operations: A risk-management perspective. Journal of Applied Corporate Finance, 23(4), 70-82. DOI: 10.1111/j.1745-6622.2011.00353.Search in Google Scholar
Atari, S., Bakkar, Y., Olaniyi, E. O., and Prause, G. (2019) Real options analysis of abatement investments for sulphur emission control compliance. Entrepreneurship and Sustainability Issues, 6(3), 1062. DOI: 10.9770/jesi.2019.6.3(1).Search in Google Scholar
Barras, B. (2004) Ship design and performance for masters and mates. Oxford: Elsevier. ISBN 0-7506-6000-7.Search in Google Scholar
Bartolacci, M. R., LeBlanc, L. J., Kayikci, Y., and Grossman, T. A. (2012) Optimization modeling for logistics: options and implementations. Journal of Business Logistics, 33(2), 118-127.Search in Google Scholar
Bennett, D. (2013) Manufacturing Holy Ship. Bloomberg Businessweek. 5 September 2013.Search in Google Scholar
Bialystocki, N. and Konovessis, D. (2016) On the estimation of ship’s fuel consumption and speed curve: A statistical approach. Journal of Ocean Engineering and Science, 1(2), 157-166. DOI: 10.1016/j.joes.2016.02.001.Search in Google Scholar
Blaik, P. and Matwiejczuk, R. (2009) Logistic processes and potentials in a value chain. Electronic Scientific Journal of Logistics, 5(2). ISSN 1734-459X.Search in Google Scholar
Caputo, A. C., Fratocchi, L., and Pelagagge, P. M. (2005) A framework for analysing long-range direct shipping logistics. Industrial Management & Data Systems, 105(7), 876-899. DOI:10.1108/02635570510616094.Search in Google Scholar
Cariou, P. (2011) Is slow steaming a sustainable means of reducing CO2 emissions from container shipping? Transportation Research Part D: Transport and Environment, 16(3), 260-264. DOI:10.1016/j.trd.2010.12.005.Search in Google Scholar
Crainic, T. G. and Kim, K. H. (2007) Intermodal transportation. Handbooks in operations research and management science, 14, 467-537. DOI:10.1016/S0927-0507(06)14008-6.Search in Google Scholar
Di Martino, B., Colucci Cante, L., Esposito, A., and Graziano, M. (2023) A tool for the semantic annotation, validation and optimization of business process models. Software: Practice and Experience, 53(5), 1174-1195. DOI:10.1002/spe.3184.Search in Google Scholar
Du, Y., Meng, Q., Wang, S., and Kuang, H. (2019) Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data. Transportation Research Part B: Methodological, 122, 88-114. DOI:10.1016/j.trb.2019.02.004.Search in Google Scholar
Fan, A., Yang, J., Yang, L., Wu, D., and Vladimir, N. (2022) A review of ship fuel consumption models. Ocean Engineering, 264 (112405). DOI: 10.1016/j.oceaneng.2022.112405.Search in Google Scholar
Ferrari, C., Parola, F., and Tei, A. (2015). Determinants of slow steaming and implications on service patterns. Maritime Policy & Management, 42(7), 636-652. DOI:10.1080/03088839.2015.1078011.Search in Google Scholar
Frémont, A. (2009) Shipping lines and logistics. Transport Reviews, 29(4), 537-554. DOI:10.1080/01441640802677607.Search in Google Scholar
Gkonis, K. G. and Psaraftis, H. N. (2010) Some key variables affecting liner shipping costs. Laboratory for Maritime Transport, National Technical University of Athens.Search in Google Scholar
Gu, Y., Wang, Y., Zhang, J. (2022) Fleet deployment and speed optimization of container ships considering bunker fuel consumption heterogeneity. MSE 1(3). DOI: 10.1007/s44176-022-00003-2.Search in Google Scholar
Huang, Q., Cui, Y., Liu, X., and Liang, X. (2019) Analysis of administrative management and operation cost in China’s maritime shipping market. Journal of Coastal Research, 94(SI), 398-405. DOI:10.2112/SI94-080.1.Search in Google Scholar
IMO (2009) Our Voyage Together: How IMO’s technical cooperation supports sustainable development.https://wwwcdn.imo.org/localresources/en/OurWork/TechnicalCooperation/Documents/OurVoyageTogether.pdf (Assessed 12.06.2023).Search in Google Scholar
IMO (2020) Fourth IMO GHG Study 2020. International Maritime Organization London, UK.Search in Google Scholar
Jacobs, R. and Chase, R. (2017) Operations and Supply Chain Management. McGraw Hill; 15th Edition.Search in Google Scholar
Jansson, J. O. and Shneerson, D. (1982) The optimal ship size. Journal of transport economics and Policy, 217-238.Search in Google Scholar
Lu, R., Turan, O., and Boulougouris, E. (2013) Voyage optimisation: prediction of ship-specific fuel consumption for energy-efficient shipping. In: 3rd International Conference on Technologies, Operations, Logistics and Modelling for Low Carbon Shipping, 1-11.Search in Google Scholar
Maloni, M., Paul, J. A., and Gligor, D. M. (2013) Slow steaming impacts ocean carriers and shippers. Maritime Economics & Logistics, 15(2), 151-171. DOI: 10.1057/mel.2013.2.Search in Google Scholar
Marlow, P. B., and Casaca, A. C. P. (2003) Measuring lean ports performance. International journal of transport management, 1(4), 189-202. DOI:10.1016/j.ijtm.2003.12.002.Search in Google Scholar
Mersin, K., Alkan, G., and Mısırlıoğlu, T. (2017) A new method for calculating fuel consumption and displacement of a ship in maritime transport. Cogent Engineering, 4(1), 1415107. DOI:10.1080/23311916.2017.1415107.Search in Google Scholar
Moon, D. S. H. and Woo, J. K. (2014) The impact of port operations on efficient ship operation from both economic and environmental perspectives. Maritime Policy & Management, 41(5), 444-461. DOI:10.1080/03088839.2014.931607.Search in Google Scholar
Neagu, N., Dorer, K., Greenwood, D., and Calisti, M. (2006) LS/ATN: Reporting on a successful Agent-based solution for transport logistics optimization. In: IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS’06), 213-218.Search in Google Scholar
Notteboom, T. E. (2006) The time factor in liner shipping services. Maritime Economics & Logistics, 8, 19-39. DOI:10.1057/palgrave.mel.9100148.Search in Google Scholar
Nyhuis, P. and Wiendahl, H. P. (2009) Fundamentals of Production Logistics. Springer Verlag, Berlin.Search in Google Scholar
Olaniyi, E. O., Prause, G., Gerasimova, V., and Inkinen, T. (2022) Clean Cruise Shipping: Experience from the BSR. Sustainability, 14(9), 5002. DOI: 10.3390/su14095002.Search in Google Scholar
Peterson, J. S. (2019) Presenting a qualitative study: A reviewer’s perspective. Gifted Child Quarterly, 63(3), 147-158. DOI:10.1177/0016986219844789.Search in Google Scholar
Philipp, R., Prause, G., and Gerlitz, L. (2019). Blockchain and Smart Contracts for Entrepreneurial Collaboration in Maritime Supply Chains. Transport and Telecommunication, 20(4), 365-378. DOI: 10.2478/ttj-2019-0030.Search in Google Scholar
Poulsen, R. T., Viktorelius, M., Varvne, H., Rasmussen, H. B., and von Knorring, H. (2022) Energy efficiency in ship operations-exploring voyage decisions and decision-makers. Transportation Research Part D: Transport and Environment, 102, 103120. DOI:10.1016/j.trd.2021.103120.Search in Google Scholar
Prause, G. and Olaniyi, E.O. (2019) A compliance cost analysis of the Seca regulation in the Baltic Sea. Entrepreneurship and Sustainability Issues, 6(4) 1907–1921. DOI:10.9770/jesi.2019.6.4(26).Search in Google Scholar
Psaraftis, H., Kontovas, C. (2013) Speed models for energy-efficient maritime transportation: A taxonomy and survey. Transportation Research Part C, 26, 331–351. DOI:10.1016/j.trc.2012.09.012.Search in Google Scholar
Rodrigue, J. P. (2020) The Geography of Transport Systems. 5th ed., New York: Routledge, ISBN 978-0-367-36463-2. DOI: 10.4324/9780429346323.Search in Google Scholar
Sadeghi, M., Mahmoudi, A., Deng, X., and Luo, X. (2023) Prioritizing requirements for implementing blockchain technology in the construction supply chain based on circular economy: Fuzzy Ordinal Priority Approach. International Journal of Environmental Science and Technology, 20(5), 4991-5012. DOI:10.1109/ACCESS.2019.2903554.Search in Google Scholar
Seedah, D., Harrison, R., Boske, L., and Kruse, J. (2013) Container terminal and cargo-handling cost analysis toolkit (No. 0-6690-CTR-P2).Search in Google Scholar
Sherbaz, S. and Duan, W. (2014) Ship trim optimization: assessment of the influence of trim on resistance of MOERI container ship. The Scientific World Journal, 2014. DOI:10.1155/2014/603695.Search in Google Scholar
Speranza, M. G. and Ukovich, W. (1994) Analysis and integration of optimization models for logistic systems. International Journal of Production Economics, 35(1-3), 183-190. DOI: 10.1016/0925-5273(94)90080-9.Search in Google Scholar
Stapersma, D. (2017). Main propulsion arrangement and power generation concepts. In: J. Carlton, P. Jukes, & C. Y. Sang (Eds.). Encyclopedia of Maritime and Offshore Engineering, 2, 1039-1078. Wiley. DOI: 10.1002/9781118476406.emoe068.Search in Google Scholar
Stefanou, C. (1999) Supply chain management (SCM) and organizational key factors for successful implementation of enterprise resource planning (ERP) systems. AMCIS 1999 proceedings, 276.Search in Google Scholar
Stopford, M. (2009) Maritime Economics 3rd ed. Routledge, Taylor and Francis, London and New York.Search in Google Scholar
Swafford, P. M., Ghosh, S., and Murthy, N. N. (2006) A framework for assessing value chain agility. International Journal of Operations & Production Management, 26(2), 118-140. ISSN: 0144-3577.Search in Google Scholar
Tran, N. K., Haasis, H. D., and Buer, T. (2017).Container shipping route design incorporating the costs of shipping, inland/feeder transport, inventory and CO2 emission. Maritime Economics & Logistics, 19(4), 667-694. DOI:10.1057/palgrave.mel.9100087.Search in Google Scholar
Turan, O., Ölçer, A. İ., Lazakis, I., Rigo, P., and Caprace, J. D. (2009) Maintenance/repair and production-oriented life cycle cost/earning model for ship structural optimisation during the conceptual design stage. Ships and Offshore Structures, 4(2), 107-125. DOI:10.1080/17445300802564220.Search in Google Scholar
Vargas-Hernández, J. G. (2023) Relocation strategy of global supply chain and value chain under deglobalization. In: Managing inflation and supply chain disruptions in the global economy, 62-80. IGI Global. DOI: 10.4018/978-1-6684-5876-1.ch005.Search in Google Scholar
Walters, D. and Lancaster, G. (2000) Implementing value strategy through the value chain. Management Decision, 38(3), 160-178.Search in Google Scholar
Wang, H., Lang, X., and Mao, W. (2021) Voyage optimization combining genetic algorithm and dynamic programming for fuel/emissions reduction. Transportation Research Part D: Transport and Environment, 90, 102670. DOI:10.1016/j.trd.2020.102670.Search in Google Scholar
Yang, C., Huang, F., and Noblesse, F. (2013) Practical evaluation of the drag of a ship for design and optimization. Journal of Hydrodynamics, 25(5), 645-654. DOI:10.1016/S1001-6058(13)60409-6.Search in Google Scholar
Yu, H., Fang, Z., Fu, X., Liu, J., and Chen, J. (2021) Literature review on emission control-based ship voyage optimization. Transportation Research Part D: Transport and Environment, 93, 102768. DOI:10.1016/j.trd.2021.102768.Search in Google Scholar
Zhou, X. (2013) Research on logistics value chain analysis and competitiveness construction for express enterprises. American Journal of Industrial and Business Management, 3(2) DOI:10.4236/ajibm.2013.32017.Search in Google Scholar