Wai Hung Wong

Airfreight forwarder shipment planning: A mixed 0–1 model and managerial issues in the integration and consolidation of shipments

The planning and management of air cargo logistics is a complex endeavor, involving collaboration of multiple logistics agents to deliver shipments timely, safely and economically. Airfreight forwarders are third-party brokers/operators who coordinate and manage cargo shipments for their clients. It is important for a forwarder to develop a shipment plan to evaluate the possible integrations and consolidations, to assess whether shipments can meet their respective target delivery dates, and to estimate the amount of costs involved. In this paper, we formulate a forwarders shipment planning problem as a mixed 0-1 LP. Effects of integration and consolidation - on the timely delivery of shipments during any phase of the shipping process - are explicitly addressed. A forwarders in-house capacity, as well as the available capacity of its partners and sub-contracting agents, are incorporated. We also consider the target cost for a shipment. Based on the special characteristics of the model, we design a customized tabu-search algorithm. We also provide an illustrative case to examine several managerial issues.

Online dynamic partnership in global logistics: a conceptual framework

Supply chain logistics demands collaborative partnering and planning online by agents of unique but connected capabilities in the global logistics community. To continue serving very different shipment requests, agents must be able to find the right partners to collectively achieve enhanced logistics process performance whilst staying competitive individually. In this paper, we define dynamic partnership as the active integration of resources (agents) online to co-create value as a service for global supply chain logistics. The conceptual underpinning of dynamic partnership is to maximise the four e-rights for the online logistics community, validated by the three core factors, namely credibility , reliability and viability for successful partnership. A survey of logistics service providers in Hong Kong confirms the relevancy of the four e-rights and three core factors in collaboration efforts. A conceptual analysis with respect to partnership flexibility, collaboration and performance of dynamic partnership is given.

Saving for a Better Retirement: How Risk Attitudes Affect Choice of Retirement Scheme:

Over 3 million people in Hong Kong and 21 million people in the UK are saving for retirement under the mandatory provident fund and individual savings account schemes, respectively. Yet, we know little about how individual preferences, such as risk attitudes (risk-seeking and risk-averse) that are known to impact highly consequential decisions in a variety of real-world contexts, impact retirement investment choices. In two experimental studies (Study 1—Hong Kong sample and Study 2—United Kingdom sample), we show that personal risk attitudes were a strong predictor of the profile of retirement investment portfolios. Specially, risk-averse people allocated more of their savings to low-risk funds than risk-seeking people. The pattern of findings is consistent in both Hong Kong mandatory and the UK voluntary retirement investment schemes. These findings are considered in light of policy decisions made in Hong Kong retirement and UK pension schemes.

Aggregate–disaggregate approach to an airfreight forwarder’s planning under uncertainty: a case study

Resource planning of airfreight forwarders is a complex endeavor, requiring decisions to be made in a dynamic and uncertain environment. Airfreight forwarders acquire airfreight spaces from three sources: allotment from carriers, retail from carriers and subcontracting to partners, all of which differ in terms of cost, flexibility and timing of booking. This real-life problem has many planning decisions (bookings in terms of carriers, route, time, ULDs, etc.). In this case study, we propose an aggregate–disaggregate approach and focus on the most critical decisions. A two-stage stochastic dynamic program first determines, in aggregates, the amount of allotment bookings, retail resources, and subcontracting or surplus co-loading. Then, a heuristic is used to disaggregate resource requirements into specific bookings. An analysis is provided to examine the relevant managerial issues. Based on real-life data, we show several patterns of aggregate resource bookings with respect to different levels of demand uncertainty and cost parameters. We show that resource disaggregation has to balance cost-effectiveness, capacity flexibility and routing flexibility of a resource plan.

Aggregate-disaggregate approach to an airfreight forwarder's planning under uncertainty: A case study

Resource planning of airfreight forwarders is a complex endeavor, requiring decisions to be made in a dynamic and uncertain environment. Airfreight forwarders acquire airfreight spaces from three sources: allotment from carriers, retail from carriers and subcontracting to partners, all of which differ in terms of cost, flexibility and timing of booking. This real-life problem has many planning decisions (bookings in terms of carriers, route, time, ULDs, etc.). In this case study, we propose an aggregate–disaggregate approach and focus on the most critical decisions. A two-stage stochastic dynamic program first determines, in aggregates, the amount of allotment bookings, retail resources, and subcontracting or surplus co-loading. Then, a heuristic is used to disaggregate resource requirements into specific bookings. An analysis is provided to examine the relevant managerial issues. Based on real-life data, we show several patterns of aggregate resource bookings with respect to different levels of demand uncertainty and cost parameters. We show that resource disaggregation has to balance cost-effectiveness, capacity flexibility and routing flexibility of a resource plan.

An airfreight forwarder's shipment planning: simultaneous decisions on job, route and agent selection

Nowadays, because of the emergence of many online logistics platforms – some of which function as virtual marketplaces – airfreight forwarders are facing an increasing number of shipment requests and many choices of collaborating agents. They are also expected to handle a greater variety of shipments from an increasing number of origins and to an increasing number of destinations. In this paper, we address the three inter-related decisions of job selection, route selection and agent selection in the design of a shipment plan. We formulate this problem as a mixed 0-1 LP, with the objective of maximising profit. Using a numerical example, we analyse the effects of job and route selection and provide insights into various aspects of shipment planning.