Browsing by Author "Chen, Cheng-Chieh (Frank)"

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Modeling Resilience Enhancement Strategies for International Express Logistics
(2013)
Chen, Cheng-Chieh (Frank)
;
Feng, Cheng-Min
;
Tsai, Ya-Hsuan
;
Wu, Pei-Ju
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運輸與物流管理系註：原交通所+運管所
International express is a most time-sensitive industry, and members of this industry must be able to respond to disruptions quickly to ensure service quality and to avoid a loss of their competitiveness with other logistics service providers. Instead of a method that arbitrarily makes rushed decisions during the postdisruption phase, this paper describes a method for quantifying and optimizing resilience strategies based on concepts of integrated resource assignment, regardless of where the available resources are located in the logistics network studied or how much capacity can be rented from others. The study started with the use of a typical transportation network modeling approach and then incorporated nonlinear time-dependent cargo value functions into a multiobjective mixed-integer nonlinear programming problem. A set of optimal actions from resilience strategies, such as the selection of alternative routes, switching of shipping modes, rental of other carriers' capacities, reallocation of local trucks, and prioritization of the order of shipments because of limited capacities, was considered. Decisions should be based on overall trade-off considerations and, at the same time, joint maximization of the product of the total time-dependent cargo value and the corresponding throughput and minimization of the costs incurred with resilience enhancement strategies.
Schedule Coordination, Delay Propagation, and Disruption Resilience in Intermodal Logistics Networks
(2016)
Chen, Cheng-Chieh (Frank)
;
Tsai, Ya-Hsuan (Natalie)
;
Schonfeld, Paul
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運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
Three optimization models were developed to manage operations in intermodal logistics networks, from routine scheduling delay to recovery from major disruptions. Efficient transfer coordination in intermodal logistics networks can reduce the freight dwell time at transfer terminals where various routes interconnect and can reduce storage requirements at terminals. The first model coordinated vehicle schedules and cargo transfers at intermodal freight terminals, primarily by optimizing coordinated service frequencies and slack times. When delay perturbations propagated within a logistics network that used schedule coordination, a second model determined whether each ready outbound vehicle should have been dispatched immediately or held to wait for late incoming vehicles. Finally, a set of optimal resilient actions was considered by the proposed third model during the postdisruption phases, such as switching shipping modes and routes, renting other carriers\' capacities, reallocating local trucks, and prioritizing the order of shipments because of limited capacities.