The Influence of Container Handling Equipment Technical Limitations on the Operations Productivity

Kuznetsov, Aleksandr L.; Semenov, Anton D.; Levchenko, Veronika P.

doi:10.21821/2309-5180-2019-11-3-417-429

Cited by 3 publications

(3 citation statements)

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“…Селективность контейнеров в штабеле определяется как отношение числа коммерческих (производительных) движений к их общему числу (производительных и непроизводительных) [12]. Поскольку для одного контейнера производительным является лишь одно движение (которое оплачивается оператору терминала), это определение может быть записано следующим образом:…”

Section: методы и материалы (Methods and Materials)unclassified

Box Selectivity in Different Container Cargo-Handling Systems

Kuznetsov¹,

Semenov²,

Radchenko³

2020

Vestnik GUMRF imeni admirala S. O. Makarova

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The box selectivity in operational stack of container terminal is a quite common and long studied question. The purely random sample is governed by the theory of probability offering some combinatorial estimations. It is pointed that the introduction of operational rules like import/export separation, storage along shipping lines, sorting by rail or truck transportation etc., as well as the most notorious «immersion» effect, that is, covering of boxes arrived earlier by next cargo parties, blurs the clear algebraic picture and leads to appearance of many heuristiс approaches to solving the problem. It is figured out in the paper that a new impetus to this problem in last decades was given by the rapid development of IT, AI and simulation techniques. The scientific publications describing many models of real and abstractive terminals, into which complex mechanisms that reflect specific features and selected strategies are built, are considered in the paper. Unfortunately, these models are usually created ad hoc, with some pragmatic objectives and under the demand of closest possible proximity to the simulated objects. It is proved that there are much less models designated to purely scientific study of the deep inner mechanisms responsible for the primal behavior of the operating container stack, enabling to introduce the new rules and restrictions step by step, providing regular proving every next stage adequacy and ease to use. The research boils down to formulating the specific container handling equipment technology in container selection operations and detecting the dependencies between number of moves necessary to select a container and the geometric features of a stack.

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Section: методы и материалы (Methods and Materials)unclassified

Box Selectivity in Different Container Cargo-Handling Systems

Kuznetsov¹,

Semenov²,

Radchenko³

2020

Vestnik GUMRF imeni admirala S. O. Makarova

Self Cite

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“…Containers are stacked one upon another in order to conserve space in the terminal. This manner of storage forms a classical "stack": the last container that was put in it has to be selected first [Kuznetsov, Semenov and Levchenko 2019]. If containers are stacked in one tier the "stack" has a deepness equal to one: to take a container from the stack one needs to perform a single operation (commonly named "movement").…”

Section: General Description Of the Problemmentioning

confidence: 99%

Optimization strategies of container terminals

Kuznetsov,

Kirichenko,

Semenov

et al. 2020

sjgmu

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One of the main tasks of operational management of modern container terminals is effective utilization of existing technological resources. The search for possible variants of terminal activity optimization requires constant analysis of transport process technology and development of technical and technological approaches to increase the effectiveness of resources utilization. One of the possible solutions provided by terminal operational systems is the application of different strategies of container stack organization and container selectivity. At the same time, the complicated character of input and output container flow makes the effectiveness of these strategies doubtful. The paper states that this particular manner of container service is different from traditional ones, i.e. FIFO and FILO. As output container flow is randomly distributed the manner of container service can be considered as First In/Random Out. The paper also considers different strategies that are applied in practice and analyzes its influence on the productivity of handling equipment. The results of these strategies simulation modeling are represented. The results prove that no strategy can provide a productivity with theoretical selectivity; any strategy provides slowed intensity of operations. At the same time, it is proved that the only optimization strategy which increases the productivity of handling equipment is the organization of terminal activity whereby containers can be selected from the stack not in requirement sequence, but in order of its position in a stack.

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“…Это приводит к повышению трудоемкости операции перемещения контейнеров из штабеля в зону ремонта или погрузки на транспорт, поскольку увеличивается количество дополнительных перемещений, необходимых для выборки контейнеров. При этом следует отметить, что в некоторых научных исследованиях рассматриваются различные стратегии складирования контейнеров, позволяющие снизить общую трудоемкость операций контейнерного склада [7]- [9], однако в них не рассматривается стратегия складирования, учитывающая повреждение контейнера.…”

Section: введение (Introduction)unclassified

Analysis of Damaged Containers Stacking Strategies

Kuznetsov¹,

Shipping²,

Kirichenko³

et al. 2021

Vestnik GUMRF imeni admirala S. O. Makarova

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A container strategy based on information about container damage is considered in the paper. The container terminals operators frequently use special sections in container yard, dedicated only for the damaged containers. It is suggested in the paper that this strategy leads to the minimization of additional movements in container selection operations. At the same time, the fact that container owners do not repair all the damaged containers is proved in the paper. This leads to the necessity to select containers from the specialized section with additional movements. This selection can be avoided if the specialized section consists of the containers that will be certainly repaired. One of the hypotheses of the research is that the effectiveness of this strategy can be improved if a statistical classifier is used for the prediction of container repair. This classifier can be based on the information about the price of container repair and container exploitation time. The linear classifier educated on the small statistical data is considered in the paper. It is proved that such model could effectively classify 40 % of containers that will be repaired. In order to analyze the effectiveness of suggested strategies the simulation model is used. There are three strategies, that are considered in the paper: the specialized stack is used only for the container classified with statistical model; the specialized stack is used for all damaged containers; containers are stacked to the stack minimum positions. It is proved that the first two strategies increase the number of additional movements in the nonspecialized stack. The results of analysis have showed that the hypothesis of statistical classifier utilization in order to improve stacking strategy effectiveness is not practically useful. The most useful strategy in the case of the research is containers even distribution in the stack.

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The Influence of Container Handling Equipment Technical Limitations on the Operations Productivity

Cited by 3 publications

References 0 publications

Box Selectivity in Different Container Cargo-Handling Systems

Box Selectivity in Different Container Cargo-Handling Systems

Optimization strategies of container terminals

Analysis of Damaged Containers Stacking Strategies

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