1. Problem one: Shipment planning in a dynamic environment. The planning of air cargo logistics is a complex endeavor that involves the collaboration of multiple logistics agents to deliver shipments in a timely, safe, and economic manner. Airfreight forwarders coordinate and manage shipments for their clients, and with the development of Internet logistics platforms, airfreight forwarders can now trade jobs and resources with other participants effectively. The incorporation of trading alternatives significantly complicates the shipment planning process. / 2. Problem two: e-services platform design. The need for business logistics starts with a buyer and a seller. It involves arrangements of materials/products moving from the seller to the buyer and payment flows from the buyer and the seller. When the logistics arrangements are not done by the buyer nor the seller but rather by a specialist, we call the specialist a 3rd party logistics (3PL) service providers. A typical logistics service/job involves many agents, for instance, forwarders, truckers, warehouse operators, carriers, etc. In the process, a lot of information will be shared and exchanged among the agents, the buyer and the seller. With the advancement of information technologies, an emerging trend is to have the business dealing, information sharing and even payment arrangement among the logistics agents, buyers and sellers done through e-services on the Internet. In this thesis, we propose a 4th party logistics (4PL) platform, which is an Internet environment to enable and facilitate 3PL providers collaboratively provide services to buyers and sellers. / The proposed platform is called 4PL platform because it facilitates the 3PL agents. To better serve its 3PL clients, the platform should be "neutral", meaning it will not provide logistics services competing with its clients. The 4PL platform will facilitate its clients through e-services. However, existing e-services technology only allows e-services to be provided to individual clients. The idea of providing e-service to collaborating clients is new. We called it the 3rd party e-Service. In this thesis, we have conceptualized and further defined the 3rd party e-Service. To realize the 3rd party e-Service, we have first proposed a 3rd party service-oriented architecture and then developed a set of new elements to the existing e-Service description technology. To prove the concept, the new architecture, and the new description technology, we put into action. Using the shipment planning model as an example, we are able to offer shipment planning e-service to collaborating agents on the Internet. / This dissertation studies two research problems in a 4th party logistics platform. / This study proposes a dynamic decision framework for air cargo shipment planning, within the dynamic environment of bidding and trading. The framework has three phases: estimation, trading, and execution. Planning in the phases proceeds iteratively until an acceptable plan is obtained and shipments are set and fulfilled. The optimization of shipment planning is formulated as a mixed 0-1 LP model from a portfolio point of view. Unlike the models in previous research, this model targets profit maximization and takes into account the decisions of job selection and resource selection, and can be solved using a Tabu-based approach. We also discuss the respective rules and strategies that would aid the decision-making processes in the framework. / Chen Gang. / "February 2006." / Advisers: Waiman Cheung; Chi Kin Leung. / Source: Dissertation Abstracts International, Volume: 67-11, Section: A, page: 4358. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (p. 96-106). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

The ability to retrieve accurate information from databases without an extensive knowledge of the contents and organization of each database is extremely beneficial to the dissemination and utilization of freight data. The challenges, however, are: 1) correctly identifying only the relevant information and keywords from questions when dealing with multiple sentence structures, and 2) automatically retrieving, preprocessing, and understanding multiple data sources to determine the best answer to user’s query. Current named entity recognition systems have the ability to identify entities but require an annotated corpus for training which in the field of transportation planning does not currently exist. A hybrid approach which combines multiple models to classify specific named entities was therefore proposed as an alternative. The retrieval and classification of freight related keywords facilitated the process of finding which databases are capable of answering a question. Values in data dictionaries can be queried by mapping keywords to data element fields in various freight databases using ontologies. A number of challenges still arise as a result of different entities sharing the same names, the same entity having multiple names, and differences in classification systems. Dealing with ambiguities is required to accurately determine which database provides the best answer from the list of applicable sources. This dissertation 1) develops an approach to identify and classifying keywords from freight related natural language queries, 2) develops a standardized knowledge representation of freight data sources using an ontology that both computer systems and domain experts can utilize to identify relevant freight data sources, and 3) provides recommendations for addressing ambiguities in freight related named entities. Finally, the use of knowledge base expert systems to intelligently sift through data sources to determine which ones provide the best answer to a user’s question is proposed. / text

This thesis examines the marginal cost of congested travel to a variety of businesses by observing time spent in congestion and estimating excess labor costs based upon the relevant value of time. The fleets in the scoping study represented commercial deliveries of goods and services, government agencies, and transit systems. Observations on limited-access expressways within the 13-county Atlanta metropolitan region were used in the analysis. Vehicles were monitored by using a passive GPS assembly that transmitted speed and location data in real-time to an off-site location. Installation and operation during the observation period required no interaction from the driver. Over 217 hours of good freeway movement during 354 vehicle-days was recorded. Rates of delay, expressed as a unit of lost minutes per mile traveled, were calculated by taking the difference in speeds observed during congestion from an optimal free-flow speed of 45 mph and dividing that by the distance traveled per segment. The difference between the 50th and 95th percentile delay rates was used as the measure for travel unreliability. Daily average values of extra time needed per fleet vehicle to ensure on-time arrivals were derived, and the median buffer across all fleets was 1.65 hours of added time per vehicle. Weekly marginal costs per fleet vehicle were estimated by factoring in the corresponding driver wages or hourly operation costs (for transit fleets). Equivalent toll rates were calculated by multiplying the 95th percentile delay rate by the hourly costs. The equivalent toll per mile traveled was representative of an equal relationship between the marginal costs of congestion experienced and a hypothetical state of free-flow travel (under first-best rules of marginal cost pricing). The median equivalent toll rates across all fleets was $0.43 per mile for weekday mornings, $0.13 per mile for midday weekdays, $0.53 per mile for afternoon weekdays and $0.01 per mile for weekday nights and weekends.