Green port development in Hong Kong - reduction of marine and port-related emissions

The Conference proceedings' website is located at http://www.hsmc.edu.hk/images/scm_CallForPaper/Conference%20Proceedings.pdfThe impact of air pollutant emissions from shipping and port operations towards environment and health is a pressing global concern. The marine and port sectors have contributed significantly to the growth of the supply chain industry and the economic development, while, at the same time, the pollutant emissions rising from ships and port-related operations have inflicted adverse public health concerns. Leading ports and terminals continuously impose measures to reduce the greenhouse gas emitted during vessel berthing. Hong Kong, being the third largest container port in the world and having the second cruise terminal running into operation, urgently requires comprehensive green port operations and practices. This paper evaluates and benchmarks the latest measures conducted by the leading ports over the world in reducing the greenhouse gas emissions from ship and port operations. International regulations, onshore power supply, vessel speed reduction, and fuel switching are analyzed. Recommendations on the future green port development in Hong Kong are proposed.postprin

Material Selection for Donor Materials in Small Molecular-Based Bulk Heterojunction Organic Photovoltaic Devices

Poster Presentation: S15- Metal Complexes for Optics: from fundamental to applications: no. S15.P23published_or_final_versio

Supply chain decarbonisation - a cost-based decision support model in slow steaming maritime operations

CO2 emissions from maritime transport operations represent a substantial part of the total greenhouse gas emission. Vessels are designed with better energy efficiency. Minimizing CO2 emission in maritime operations plays an important role in supply chain decarbonisation. This paper reviews the initiatives on slow steaming operations towards the reduction of carbon emission. It investigates the relationship and impact among slow steaming cost reduction, carbon emission reduction, and shipment delay. A scenario-based cost-driven decision support model is developed to facilitate the selection of the optimal slow steaming options, considering the cost on bunker fuel consumption, available speed, carbon emission, and shipment delay. The incorporation of the social cost of cargo is reviewed and suggested. Additional measures on the effect of vessels sizes, routing, and type of fuels towards decarbonisation are discussed.published_or_final_versio

Immunity-based evolutionary algorithm for optimal global container repositioning in liner shipping

Global container repositioning in liner shipping has always been a challenging problem in container transportation as the global market in maritime logistics is complex and competitive. Supply and demand are dynamic under the ever changing trade imbalance. A useful computation optimization tool to assist shipping liners on decision making and planning to reposition large quantities of empty containers from surplus countries to deficit regions in a cost effective manner is crucial. A novel immunity-based evolutionary algorithm known as immunity-based evolutionary algorithm (IMEA) is developed to solve the multi-objective container repositioning problems in this research. The algorithm adopts the clonal selection and immune suppression theories to attain the Pareto optimal front. The proposed algorithm was verified with benchmarking functions and compared with four optimization algorithms to assess its diversity and spread. The developed algorithm provides a useful means to solve the problem and assist shipping liners in the global container transportation operations in an optimized and cost effective manner. © 2010 The Author(s).published_or_final_versionSpringer Open Choice, 21 Feb 201

Oral health education for visually impaired children in Hong Kong

published_or_final_versio

An AIS-based Dynamic Routing (AISDR) framework

An Artificial Immune System-based Dynamic Routing (AISDR) framework is engineered through the adoption of the characteristics that are analogous to human immune system for solving dynamic routing problems. The framework covers the profound features on recognition, selection, learning, memory, and adaptation capabilities. An AISDR algorithm is developed that incorporates the features of clonal selection, affinity maturation, and immunological memory features. Simulation study is carried out to evaluate the performance of the algorithm in the global shipment operation. © Springer-Verlag Berlin Heidelberg 2005.link_to_subscribed_fulltex

Advancement in the twentieth century in artificial immune systems for optimization: Review and future outlook

Research in Artificial Immune Systems (AIS) for optimization has attracted attention in recent years. Exploration and adoption of the inspired immune theories in clonal selection, immune network, negative selection, and danger signaling is becoming a popular basis for algorithm design for solving optimization problems, especially on multi-objective optimizations. Novel algorithms are design, benchmarked and applied to real life applications. This paper aims to review and outlook on the latest development of AIS-based algorithms in the recent decade. An analysis of the AIS applications is also discussed. ©2009 IEEE.link_to_subscribed_fulltex

Supply chain decarbonisation in shipping and logistics transportation

All papers of ICTLE 2013 will be published in the Volume of Journal of Traffic and Logistics Engineering (JTLE) ISSN: 2301-3680Open Access JournalThe development and implementation of decarbonisation in shipping and logistics transportation is crucial to reduce greenhouse gas emissions from the perspective of products, supply chain, and organizations. There are increasing research interests on supply chain decarbonisation initiated by severe climate change, environmental awareness, government policy pressure, and corporate sustainability responsibility. A decarbonisation framework is developed as backbone for the implementation of greenhouse gas emission reduction in freight transport. The framework includes the introduction and review of the life cycle assessment, performance measurement metric, model emission targets, implementation, and monitoring tools. Carbon dioxide life cycle assessment is discussed with a recent example of a global fortune 500 corporations. Latest development and examples of carbon auditing and carbon calculator are presented. A review on the recent decarbonisation technology development and industrial practice is conducted with examples from companies from global 500. The analysis in the paper provides useful means for the future direction needed towards reducing the greenhouse gas emission in supply chain and logistics, with consideration on technology, education, corporation social responsibility, public environmental awareness, and government measures.link_to_OA_fulltex

Optimising truckload operations in third-party logistics : a carbon footprint perspective in volatile supply chain

202305 bcchAccepted ManuscriptSelf-fundedPublishe

Container drayage modelling with graph theory-based road connectivity assessment for sustainable freight transportation in new development area

202305 bcchAccepted ManuscriptSelf-fundedPublishe