By Dirk Steenken, Stefan Voß, Robert Stahlbock (auth.), Professor Dr. Hans-Otto Günther, Professor Kap Hwan Kim (eds.)
ISBN-10: 3540223282
ISBN-13: 9783540223283
ISBN-10: 3540266860
ISBN-13: 9783540266860
Container transportation is the principal mode of inter-continental shipment site visitors. given that box ships and port terminals contain a massive capital funding and demanding day-by-day working charges, it really is of an important value to successfully make the most of the inner assets of box terminals and transportation structures. this present day there's an ongoing pattern to exploit automatic box dealing with and transportation expertise, specifically, in international locations with excessive labour bills. This in flip calls for hugely refined keep an eye on techniques with a purpose to meet the specified functionality measures. the first aim of this e-book is to mirror those contemporary advancements and to provide new insights and winning suggestions to operational difficulties of computerized box terminals and transportation platforms. It includes experiences at the cutting-edge, purposes of quantitative equipment, in addition to case stories and simulation effects. Its contributions are written through major specialists from academia and company. The publication addresses practitioners in addition to educational researchers in logistics, transportation, and management.
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Additional resources for Container Terminals and Automated Transport Systems: Logistics Control Issues and Quantitative Decision Support
Example text
Koo et al. [109] present a two-phase fleet sizing and vehicle routing procedure for container ports with several yards. The goal is to find the smallest required fleet size and a route for each vehicle to fulfill all transportation requirements within a static planning horizon. A computational study shows solutions of good quality in comparison with two other existing methods. 3 Crane transport optimization. Another field of application of optimization methods are the transports of gantry cranes operating in stacks.
22 D. Steenken et al. Peterkofsky and Daganzo [155] study a branch and bound method for minimizing delay costs. Exact solutions for problems described in [32] are given in order to speed up the time-intensive and, therefore, cost-intensive (un)loading process. Gambardella et al. e. (un)loading lists for each crane). Simulation results show reduction of equipment conflicts and of waiting times for truck queues. 2. Bish [12] develops a heuristic method for minimizing the maximum turnaround time of a set of ships in the so called ‘multiple-crane-constrained vehicle scheduling and location problem (MVSL)’.
Steenken et al. future operation. The performance of quay cranes is a multitude higher than the performance of stacking and transport equipment. Therefore, containers with the same categories have to be distributed over several blocks and rows to avoid congestions and unnecessary waiting times of vehicles. The actual workload of a gantry crane or other stacking equipment also has to be considered because allocating additional jobs to highly utilized equipment provokes waiting times. All these factors can be integrated into an algorithm while the weight of each factor is measured by parameters.
Container Terminals and Automated Transport Systems: Logistics Control Issues and Quantitative Decision Support by Dirk Steenken, Stefan Voß, Robert Stahlbock (auth.), Professor Dr. Hans-Otto Günther, Professor Kap Hwan Kim (eds.)
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