By Hans-Otto Günther, Kap Hwan Kim
Box transportation is the most important mode of inter-continental shipment site visitors. on the grounds that box ships and port terminals contain an important capital funding and critical day-by-day working expenditures, it really is of the most important significance to successfully make the most of the inner assets of box terminals and transportation structures. this day there's an ongoing development to exploit automatic box dealing with and transportation know-how, specifically, in international locations with excessive labour expenses. This in flip calls for hugely refined regulate options for you to meet the specified functionality measures. the first goal of this booklet is to mirror those fresh advancements and to provide new insights and winning options to operational difficulties of automatic box terminals and transportation platforms. It contains studies at the state-of-the-art, functions of quantitative tools, in addition to case reports and simulation effects. Its contributions are written via best specialists from academia and enterprise. The publication addresses practitioners in addition to educational researchers in logistics, transportation, and administration.
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Additional info for Container Terminals and Automated Transport Systems: Logistics Control Issues and Quantitative Decision Support
The routing problem is composed of the container allocation problem – formulated as a transportation problem – and a carrier routing problem with given sequence of yard-bays to be visited by a carrier. The routing problem is solved by a beam search algorithm, that is evaluated in numerical tests. In  the number of containers picked up by a straddle carrier at each bay and the sequence of bay visits are determined in order to minimize total travel distance/time of the carrier. The proposed integer programming model is solved by a two-phase procedure.
Sequences of jobs have to be calculated and jobs have to be assigned to the respective crane. Commonly the location of a container to be positioned in the stack is calculated by the yard module. This is also true for the containers which have Container terminal operation and operations research 33 to be reshufﬂed. Therefore, transport optimization for stack cranes reduces to the same requirements as for the horizontal transport and comparative algorithms can be applied. Priority of jobs have to be taken into account – as is the case for the horizontal transport.
The authors demand heuristic algorithms due to time consuming computations. Kim and Kim [92–94] discuss the determination of optimal amount of storage space and optimal number of transfer cranes for import containers. The decision is based on a cost model including ﬁxed investment costs and variable operation costs. A simple solution procedure and sensitivity analysis is illustrated with a numerical example. Two different objectives are considered: minimization of the costs of only the terminal operator and minimization of these costs combined with the costs of the customers.