A Stochastic Programming Optimization Model of Container Shipping of Sea-Carriage

2013 ◽  
Vol 411-414 ◽  
pp. 2715-2720
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Integer Programming ◽  
Stochastic Programming ◽  
Optimization Model ◽  
Container Shipping ◽  
Empty Container ◽  
Shipping Company ◽  
Shipping Cost ◽  
Total Profit ◽  
Empty Containers ◽  
The Cost

The paper dose research about the optimization of container shipping of sea carriage for meeting the goods transport requirement by use of stochastic programming. Both laden and empty containers are combined into a system. In particular, the effect of special laden container shipping capacity on the shipping plan is investigated. In the model, the objective function is to maximize the total profit of container shipping. The profit caused by laden container shipping minus the cost caused by both laden and empty container shipping equal to the total profit. The constraints to the model include meeting the need of both laden and empty containers, shipping limit to both common and special laden containers, the number of empty container supported. The number of empty containers is stochastic and the model is transmitted to an integer programming. Lingo9.0 is used to solve the model and shipping methods in varied parameters are shown by simulation. The aim of the paper is to provide a reasonable plan of container shipping of sea-carriage, so the container shipping cost of a shipping company can be reduced and the its profit made by container shipping are maximized.

An Integer Programming Optimization Model of Container Shipping of Sea-Carriage

2012 ◽  
Vol 220-223 ◽  
pp. 2678-2683
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Integer Programming ◽  
Objective Function ◽  
Optimization Model ◽  
Container Shipping ◽  
Empty Container ◽  
Shipping Company ◽  
Shipping Cost ◽  
Total Profit ◽  
Empty Containers ◽  
The Cost

The paper dose research about the optimization of container shipping of sea –carriage for meeting the goods transport requirement by use of integer programming. Both laden and empty containers are combined into a system. In particular, the effect of special laden container shipping capacity on the shipping plan is investigated. In the model, the objective function is to maximize the total profit of container shipping. The profit caused by laden container shipping minus the cost caused by both laden and empty container shipping equal to the total profit. The constraints to the model include meeting the need of both laden and empty containers, shipping limit to both common and special laden containers , the number of empty container supported. Lingo9.0 is used to solve the model and shipping methods in varied parameters are shown by simulation. The aim of the paper is to provide a reasonable plan of container shipping of sea-carriage, so the container shipping cost of a shipping company can be reduced and the its profit made by container shipping are maximized.

Stochastic Optimization of Empty Container Repositioning of Sea Carriage

2011 ◽  
Vol 340 ◽  
pp. 324-330
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Stochastic Optimization ◽  
Chance Constrained Programming ◽  
Empty Container ◽  
Shipping Company ◽  
Model And Simulation ◽  
Empty Container Repositioning ◽  
Shipping Cost ◽  
Effective Program ◽  
Empty Containers ◽  
Constrained Programming

To improve the efficiency of empty container repositioning for a shipping company, a stochastic optimization model of empty container repositioning of sea carriage was established by chance-constrained programming. The objective function was to minimize the cost of empty container repositioning including shipping, rening and shortage cost. In the model, shipping cost was decided by the number of ship used for empty container repositioning. The constraints of the model included meeting the need of empty containers, limit to the number of empty containers provided and the capacity of shipping. The numbers of empty containers required are stochastic. The stochastis model was transferred to an integer programming one. Lingo9.0 was used to solve the model and simulation was done under varied parameters to get a good shipping strategy. The results show that the model can provide an effective program of empty container repositioning for a shipping company and it is a good way to raise shipping efficiency.

scholarly journals An inland-depots-for-empty-containers-model for the hinterland

2017 ◽  
Vol 2 (2) ◽  
pp. 126-141 ◽  
Author(s):  
Stephanie Finke ◽  
Herbert Kotzab
Keyword(s):  
Linear Optimization ◽  
Point Of View ◽  
Mixed Integer ◽  
Total System ◽  
Empty Container ◽  
Content Type ◽  
Shipping Company ◽  
Linear Optimization Model ◽  
Mixed Integer Linear Optimization ◽  
Empty Containers

Purpose The purpose of this paper is to figure out in which way a hinterland-based inland depot model can help a shipping company in solving the empty container problem at a regional level. The repositioning of empty containers is a very expensive operation that does not generate profits. Consequently, it is very important to provide an efficient empty container management. Design/methodology/approach In this paper, the empty container problem is discussed at a regional repositioning level. For solving this problem, a mixed-integer linear optimization model is developed and validated by using the German hinterland as a case. Findings The findings show that the hinterland-based solution is able to reduce the total system costs by 40 per cent. In addition, total of truck kilometres could be reduced by more than 30 per cent too. Research limitations/implications This research is based on German data only. Originality/value This paper closes the gap in empty container repositioning research by looking at the hinterland dimension from a single shipping company point of view.

scholarly journals Do Foldable Containers Enhance Efficient Empty Container Repositioning under Demand Fluctuation?—Case of the Pacific Region

2021 ◽  
Vol 13 (9) ◽  
pp. 4730
Author(s):  
Zirui Liang ◽  
Ryuichi Shibasaki ◽  
Yuji Hoshino
Keyword(s):  
Cost Reduction ◽  
Pacific Islands ◽  
Pacific Region ◽  
Empty Container ◽  
Scenario Analyses ◽  
The Pacific ◽  
Empty Container Repositioning ◽  
Empty Containers ◽  
Reduction Effect ◽  
The Cost

This study considers the empty container repositioning problem of shipping companies that use standard and 3-in-1 foldable containers with more advanced designs. A mathematical model is developed to compare the total management costs of container repositioning of various patterns in different cargo shipping demand scenarios. Numerous scenario analyses and simulations of empty container repositioning were conducted, focusing on a liner shipping service in the Pacific Islands where empty containers are likely to be present because of the imbalance between inbound and outbound flows of containers, including static analysis and consecutive analysis with demand fluctuation in different approaches. Results show that with the introduction of foldable containers, depending on the growth rate of container cargo shipping demand, the total management costs of empty container repositioning can be reduced. However, introducing a large number of foldable containers may increase the total management costs of container repositioning. Moreover, the cost reduction effect of adding another containership increases in cases where future cargo shipping demand increases substantially. Furthermore, the introduction of foldable containers not only effectively reduces the management costs of empty containers, but also makes costs more stable and predictable.

Maritime Empty Container Repositioning

2014 ◽  
Vol 5 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Hossein Khakbaz ◽  
Jyotirmoyee Bhattacharjya
Keyword(s):  
Classification Scheme ◽  
Future Research ◽  
Research Directions ◽  
Empty Container ◽  
Total Cost ◽  
Maritime Shipping ◽  
Empty Container Repositioning ◽  
Shipping Containers ◽  
Empty Containers ◽  
The Cost

Maritime shipping containers are important to a number of different industries as they facilitate the reduction of transportation costs. To address the needs of shippers, empty containers need to be repositioned globally between seaports. Since the cost of empty container repositioning (ECR) constitutes a significant element of the total cost of running a global container fleet operation, the problem has been receiving increasing attention from scholars. The diversity of this literature necessitates the development an appropriate classification scheme to identify trends, gaps, and directions for future research. This paper reviews publications on maritime ECR over the last two decades and examines such trends and potential research directions.

scholarly journals The Logistic of Empty Containers′ Return in the Liner-Shipping Network

2017 ◽  
Vol 18 (3) ◽  
pp. 207-219 ◽  
Author(s):  
Naima Belayachi ◽  
Shahin Gelareh ◽  
Khadidja Yachba ◽  
Karim Bouamrane
Keyword(s):  
Heuristic Method ◽  
Liner Shipping ◽  
Transport Network ◽  
Maritime Transport ◽  
Empty Container ◽  
Balanced Distribution ◽  
Empty Containers ◽  
The Cost

Abstract The Maritime Transport is a favoured tool regarding the universal exchanges because it has gone through several evolutions. Indeed, the containerization is considered as one of the most remarkable improvements in the shipping. The containers are rented by shipping companies. However, these companies meet an empty container availability problem at some ports of Maritime Transport Network (MTN) to satisfy the demands of clients. The objective of this work is to solve the problem of the imbalance of the distribution of containers and look for empty containers at less cost to meet the demands of clients. As a result, the authors propose an application to represent the MTN, and provide a balanced distribution of containers. The work presented in this article is based on a heuristic method by neighbourhood. It allows the process of the clients' demands and transfers of full containers as well as the research of empty containers by optimizing the cost of theirs return.

Multi-Objective and Stochastic Optimization Model of Transit Containers Storage in a Transshipment Port Yard

2013 ◽  
Vol 411-414 ◽  
pp. 2680-2683
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Integer Programming ◽  
Stochastic Programming ◽  
Stochastic Optimization ◽  
Objective Function ◽  
Optimization Model ◽  
Storage Capacity ◽  
Planning Period ◽  
Multi Objective ◽  
Decision Variables ◽  
Operational Capacity

The load/unload task in a transshipment port yard is more heavy and the time requirmement is more tight than an export port.A multi-objective and stochastic programming optimization model for containers stacking in the storage yard of a transshipment port is built to improve its efficiency. The objective function is to minimize the number of yard cranes used in the storage yard and balance the workload among different blocks during the planning period. The decision variables include the number of transit containers assigned to yard-bits, yard cranes distributed to blocks, yard-bits with high and low workload in a block. The constraints include meeting the shipping requirement, storage capacity and operational capacity of yard cranes. The numbers of transit containers are stochastic.The model is tranfered into an integer programming and solved by Lingo9.0. The simulation is done to recover the relation between workload level and the number of yard crane used and the workload balance. The model can be used to yard stacking management and lift its level for a transshipment port.

ON-LINE SCHEDULING OF EMPTY CONTAINERS

2012 ◽  
Vol 29 (04) ◽  
pp. 1250018 ◽  
Author(s):  
LELE ZHANG ◽  
ANDREW WIRTH
Keyword(s):  
Optimization Problem ◽  
Operating Cost ◽  
Container Shipping ◽  
Container Transportation ◽  
Competitive Performance ◽  
Empty Container ◽  
Transportation Management ◽  
Empty Container Repositioning ◽  
On Line ◽  
Empty Containers

This paper considers the empty container repositioning problem in an on-line scheduling setting. This optimization problem arising from container transportation management aims to balance empty containers distribution among transportation sites so as to minimize the total operating cost of loaded container shipping, empty container allocation and leasing. In this highly uncertain on-line environment we introduce a heuristic that does not attempt to balance the empty container distribution, and evaluate its competitive performance mathematically and empirically.

Maritime Empty Container Repositioning

2018 ◽  
pp. 210-233
Author(s):  
Hossein Khakbaz ◽  
Jyotirmoyee Bhattacharjya
Keyword(s):  
Transportation Costs ◽  
Future Research ◽  
Research Directions ◽  
Empty Container ◽  
Total Cost ◽  
Maritime Shipping ◽  
Empty Container Repositioning ◽  
Shipping Containers ◽  
Empty Containers ◽  
The Cost

Maritime shipping containers are important to a number of different industries as they facilitate the reduction of transportation costs. To address the needs of shippers, empty containers need to be repositioned globally between seaports. Since the cost of empty container repositioning (ECR) constitutes a significant element of the total cost of running a global container fleet operation, the problem has been receiving increasing attention from scholars. The diversity of this literature necessitates the development an appropriate classification scheme to identify trends, gaps, and directions for future research. This paper reviews publications on maritime ECR over the last two decades and examines such trends and potential research directions.

scholarly journals Tactical and Operational Cooperative Empty Container Repositioning Optimization Model Based on Business Flow and Initial Solutions Generation Rules

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 300
Author(s):  
Hengzhen Zhang ◽  
Lihua Lu ◽  
Xiaofeng Wang
Keyword(s):  
Optimization Model ◽  
Practical Significance ◽  
Special Role ◽  
Shipping Industry ◽  
Empty Container ◽  
Computer Methods ◽  
Empty Container Repositioning ◽  
Application Problem ◽  
Empty Containers ◽  
Business Flow

Due to the special role of empty containers in the container transportation process, empty container repositioning is a focal point in the shipping industry. For this problem, highly efficient and feasible optimization models are critical in improving the benefit for shipping companies and increasing their market competitiveness. Operational decisions are affected by tactical ones. Aimed at this point, we propose a tactical and operational cooperative empty container repositioning optimization model. To cut the search space and obtain the optimal solution quickly, several initial solutions generation rules are extracted, based on business flow. Furthermore, the reachable shipping distance may change when the calling sequence is different. An algorithm which calculates the reachable shipping distance matrix between ports is presented to solve this problem. Simulated cases are used to test the proposed model and algorithm. The results show that the cases can cope with the tactical and operational cooperative empty container repositioning optimization model. Moreover, some interesting conclusions also are deduced about the relationships among number of calling ports, total profits, leasing cost, calling port fee, number of Empty Containers Repositioned (ECR), and laden containers. All these can guide and assist the various decisions to be made. According to the homepage of Symmetry, its subject areas include Mathematics, Computer Science, Theory, and Methods. Their branches include information theory, computer-aided design, and so on. The topic of our paper is to solve this engineering application problem by using a mathematical optimization model and computer methods. That is, applying mathematical theory and computer methods to make decision results for the empty container repositioning problem in the shipping industry. It has certain economic value and practical significance. Obviously, it is consistent with the theme of Symmetry.

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