The optimal sizing of the storage space and handling facilities for import containers

Kim, Kap Hwan; Kim, Hong Bae

doi:10.1016/s0191-2615(01)00033-9

Cited by 121 publications

(44 citation statements)

References 3 publications

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“…Such approaches schematize container terminal activities through single-queue models or through a network of queues. Although the approaches based on optimization models allow a more elegant and compact formulation of the problem [14][15][16][17], discrete event simulation (DES) models help to achieve several aims: overcome mathematical limitations of optimization approaches, support and make computer-generated strategies/policies more understandable, and support decision makers in daily decision processes through a what if approach [13]. In the last years, several simulation tools have been developed.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and Optimization of Decision-Making Process During Loading and Unloading Operations at Container Port

Rida

2014

Arab J Sci Eng

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The subject of this paper is the process of unloading and loading ships at maritime container terminals. Since decision problems in container terminals are dynamic in nature and must be re-evaluated over time based on the state of some crucial underlying factors (such as ships, cranes, or storage yard characteristics), the problem is formulated as a Markov decision process (MDP). The objective is to provide the optimal sequence of decisions that are to be undertaken at each time during the period of unloading and loading operations in order to minimize the total waiting time of wharf cranes and vehicles allocated to serve a containership. A simulation model is also developed in this paper to test and evaluate the optimal policy provided by the MDP.

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Section: Literature Reviewmentioning

confidence: 99%

Modeling and Optimization of Decision-Making Process During Loading and Unloading Operations at Container Port

Rida

2014

Arab J Sci Eng

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“…In the area of storage area design, several papers address the container storage problem at ports or marine terminals (DeCastilho and Daganzo 1993, Taleb-Ibrahimi et al 1993, Kim and Kim 2002, Kim and Park 2003. The focus of these papers is to improve throughput in a storage system by sequencing stows and retrievals and allocating temporary storage space to groups of containers.…”

Section: Literature Surveymentioning

confidence: 99%

Effective material flow at an assembly facility

Ellis

Meller

Wilck

et al. 2010

International Journal of Production Research

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Effective material flow in an assembly facility leads to reduced material handling costs and increased productivity. This research focuses on improving the flow of materials for an assembly facility that receives supplied parts through receiving docks and transfers the parts to material storage locations and then to part usage locations. The locations of the receiving docks, storage locations, and line locations are predetermined, but the assignment of parts to dock locations and storage locations and the material flow paths through the facility are decision variables. Furthermore, design decisions such as the dock strategy employed and the configuration of the storage areas lead to additional decision variables. The goal is to reduce overall material handling costs by effectively receiving, storing and transferring the material from loading docks to line locations. The contribution of this research is in applying multi-commodity network flow models that integrate many of the sub-problems that are assumed to be solved a priori in many existing models. This integrated approach was used to evaluate configuration changes for a collaborating facility. One of the scenarios analysed showed an improvement in the material handling costs of nearly 10% as compared to current practices.

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“…Kim and Kim (2002) develop a cost model for calculating the optimal amount of storage space and the optimal number of transfer cranes for handling import containers. Kim and Kim (1999a,b,c) try to minimize the total travel distance of a straddle crane in the yard by routing a straddle crane during the loading operation of export containers.…”

Section: Related Workmentioning

confidence: 99%

A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal

Bostel

Dejax³

et al. 2007

European Journal of Operational Research

179

116

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The optimal sizing of the storage space and handling facilities for import containers

Cited by 121 publications

References 3 publications

Modeling and Optimization of Decision-Making Process During Loading and Unloading Operations at Container Port

Modeling and Optimization of Decision-Making Process During Loading and Unloading Operations at Container Port

Effective material flow at an assembly facility

A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal

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