scholarly journals Benchmarking analysis for automated and non-automated container terminals

2021 ◽  
pp. 76-83
Author(s):  
А.Л. Кузнецов ◽  
А.В. Галин ◽  
В.Н. Щербакова-Слюсаренко ◽  
Г.Б. Попов
Keyword(s):  
Performance Indicators ◽  
Container Terminals ◽  
Cargo Handling ◽  
Storage Solutions ◽  
Significant Performance ◽  
Storage Area ◽  
And Storage ◽  
Typical Design ◽  
Area Planning ◽  
Electronic Document Interchange

Автоматизация контейнерных терминалов является одним из главных глобальных трендов в развитии технологий перегрузки и хранения контейнерных грузов. Системы автоматизации, применяемые на контейнерных терминалах, могут в разной степени включать в себя функции управления контейнеропотоком, планирования работы склада терминала, грузового планирования загрузки / разгрузки судов, автоматизации работы оборудования на терминале, планирования расстановки оборудования, электронного документооборота и другие. На традиционных (неавтоматизированных) терминалах большая часть перечисленных выше задач решается с непосредственным участием человека. Это приводит к неравномерности в интенсивности погрузочно-разгрузочных работ. В данной статье приводится сравнение показателей эффективности работы автоматизированных и неавтоматизированных контейнерных терминалов. Для целей сравнительного анализа применяется методика бенчмаркинга на основе обосновано выбранных показателей работы. Наиболее значимые показатели работы включают в себя напряженность работ причального фронта, частную производительность оборудования и интенсивность использования площади. Значения этих показателей сравниваются не только между автоматизированными и неавтоматизированными контейнерными терминалами, но и с типовыми показателями, используемыми при проектировании новых терминалов. Сделаны выводы и предположения о зависимостях некоторых показателей от уровня автоматизации терминала. Automatization is one of the main trends in global container handling and storage solutions. Automatization systems, applied at container terminals, may include following container flow controlling functions: storage area planning, container vessel cargo (bay) planning, cargo handling equipment, cargo handling equipment positioning, EDI (electronic document interchange), etc. Many of the functions mentioned are carried out manually at conventional non-automated container terminals. This leads to unsteadiness of cargo operation rates. This research shows the results of analytical comparison of selected KPIs (key performance indicators) of automated and non-automated container terminals. Method of benchmarking is used to compare certain KPIs. Among the most significant performance indicators are berth operations intensity, local productivity of equipment, intensity of storage area usage. These indicators are compared not only between automated and non-automated container terminals, but are also compared to typical design indicators used for drafting new terminals. A number of conclusions and suggestions about dependencies between KPIs and automatization level at container terminals is made.

scholarly journals SIMULATION MODELLING AS A DRY CARGO TERMINALS’ CALCULATION TOOL

2018 ◽  
pp. 100-108 ◽  
Author(s):  
Andrei Stanislavovich Tkachenko ◽  
German Borisovich Popov ◽  
Alexander Viktorovich Kirichenko ◽  
Alexander Lvovich Kuznetsov
Keyword(s):  
Performance Indicators ◽  
Simulation Modelling ◽  
Container Terminals ◽  
Technological Parameters ◽  
Cargo Handling ◽  
Modelling Method ◽  
Terminal Performance ◽  
Proposed Model ◽  
Wide Range ◽  
Operational Processes

Making decisions based on intuitive analytical methods is becoming a dangerous practice in modern conditions of competition and high capital capacity of cargo terminals operation. Such methods are allowing to evaluate an average of performance indicators for cargo terminals at very best, while their market stability is becoming gradually more dependent on the pattern of distribution around the averages. This research proposes a method of cargo terminal performance analysis, based on the simulation modelling. The importance of focusing on cargo flows through the terminal, instead of modelling only the operational processes of a certain cargo terminal, is emphasized. The paper describes the approach to creating such models of distribution around the averages. The proposed model structure is targeted at a wide range of "dry port" type container terminals. There have been analyzed all possible traffic flows which require different capacities and technological resources for handling at the terminal. A standard description of the freight routes passing through the terminal as a simulated model provides low labor-intensiveness of planning experiments which helps easily change the cargo handling flow chart of the terminal analyzed. The efficiency of the simulation modelling method for calculating technological parameters of dry cargo terminals has been approved in the course of implementing several large projects.

scholarly journals Reshuffle minimisation to improve storage yard operations efficiency

2021 ◽  
Vol 15 ◽  
pp. 174830262199401
Author(s):  
Hammed Bisira ◽  
Abdellah Salhi
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Heuristic Approach ◽  
Container Terminals ◽  
Exact Method ◽  
Computational Results ◽  
Binary Integer Programming ◽  
Integer Programming Model ◽  
Compatibility Test ◽  
Storage Area

There are many ways to measure the efficiency of the storage area management in container terminals. These include minimising the need for container reshuffle especially at the yard level. In this paper, we consider the container reshuffle problem for stacking and retrieving containers. The problem was represented as a binary integer programming model and solved exactly. However, the exact method was not able to return results for large instances. We therefore considered a heuristic approach. A number of heuristics were implemented and compared on static and dynamic reshuffle problems including four new heuristics introduced here. Since heuristics are known to be instance dependent, we proposed a compatibility test to evaluate how well they work when combined to solve a reshuffle problem. Computational results of our methods on realistic instances are reported to be competitive and satisfactory.

scholarly journals Using Blockchain Technology to Foster Collaboration among Shippers and Carriers in the Trucking Industry: A Design Science Research Approach

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 37
Author(s):  
Serkan Alacam ◽  
Asli Sencer
Keyword(s):  
Private Information ◽  
Design Science ◽  
Science Research ◽  
Trucking Industry ◽  
Research Approach ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Sustainability Problems ◽  
And Storage ◽  
Industry Professionals

In the global trucking industry, vertical collaboration between shippers and carriers is attained by intermediaries, called brokers. Brokers organize carriers for a shipper in accordance with its quality and price requirements, and support carriers to collaborate horizontally by sharing a large distribution order from a shipper. Brokers also act as trustees, preventing the passing of private information of any party to the others. Despite these benefits, intermediaries in the trucking industry are involved in several sustainability problems, including high costs, high levels of carbon emissions, high percentages of empty miles, low-capacity utilizations, and driver shortages. Several studies have acknowledged the importance of improving collaboration to address these problems. Obviously, the major concern of brokers is not collaboration, but rather to optimize their own gains. This paper investigates the potential of blockchain technology to improve collaboration in the trucking industry, by eliminating brokers while preserving their responsibilities as organizers and trustees. This paper extends the transportation control tower concept from the logistics literature, and presents a system architecture for its implementation through smart contracts on a blockchain network. In the proposed system, the scalability and privacy of trucking operations are ensured through integration with privacy-preserving off-chain computation and storage solutions (running outside of the blockchain). The potential of this design artifact for fostering collaboration in the trucking industry was evaluated by both blockchain technology experts and trucking industry professionals.

scholarly journals Methodology for Optimal Placement of Containers in Trains in Case of Cargo Operations Along the Route

2021 ◽  
Vol 19 (1) ◽  
pp. 174-193
Author(s):  
D. I. Kochneva ◽  
S. V. Siziy ◽  
Hao Chang
Keyword(s):  
Container Terminal ◽  
Container Terminals ◽  
Optimal Placement ◽  
Intermediate Point ◽  
Iterative Search ◽  
New Approach ◽  
Cargo Handling ◽  
Mathematical Algorithm ◽  
Passenger Traffic ◽  
Optimisation Methods

A new approach to organisation of container block trains is considered based on the principles of passenger traffic. The technology assumes container train’s traffic subject to the timetable with sale of cargo space in the train. The train is made up at the departure station and follows the established route with stops at intermediate container terminals or stations, where a container for which this station is designated as destination is removed and a new container is placed on the vacated place to be delivered to subsequent points of the route.The objective of this study is to develop a methodology for optimal placement of containers in a block train intended for en route cargo handling operations. The technique involves an iterative search for such an order of placement of packages so that containers assigned to each intermediate point are as close to each other as possible. The technique is an authors’ algorithm based on combinatorial optimisation methods.The implementation of the proposed algorithm makes it possible to reduce the excessive mileage of handlers and loaders at intermediate points and, consequently, to increase speed of cargo operations when rearranging containers, as well as to reduce operating costs of using the loading facilities of the container terminal.The proposed mathematical algorithm as compared to exhaustive search allows significantly reducing the number of iterations in search for a solution and can be implemented as software.

Benchmarking Performance Indicators of Indian Rail Freight by DEA Approach

2019 ◽  
pp. 173-190
Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Secondary Data ◽  
Container Terminals ◽  
Operational Planning ◽  
Data Envelopment ◽  
Business Operations ◽  
Benchmarking Performance ◽  
Ccr Model

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy, and therefore performance measurement, being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness. The purpose of this chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing super-efficiency models of data envelopment analysis (DEA) on secondary data of CONCOR container terminals from 1994-95 to 2015-16 for performance evaluation within CONCOR. The exercise identified efficiency trends fluctuating between 75.83% to 109.51% (CCR model) and 93.52% to 100% (BCC model) within CONCOR, owing to lack of operational planning and lack of efficient staff.

scholarly journals A review of key environmental and energy performance indicators for the case of renewable energy systems when integrated with storage solutions

2018 ◽  
Vol 231 ◽  
pp. 380-398 ◽  
Author(s):  
Dimitrios-Sotirios Kourkoumpas ◽  
Georgios Benekos ◽  
Nikolaos Nikolopoulos ◽  
Sotirios Karellas ◽  
Panagiotis Grammelis ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Performance Indicators ◽  
Energy Systems ◽  
Energy Performance ◽  
Renewable Energy Systems ◽  
Storage Solutions

scholarly journals Red‐blood‐cell manufacturing methods and storage solutions differentially induce pulmonary cell activation

Vox Sanguinis ◽  
2020 ◽  
Vol 115 (5) ◽  
pp. 395-404 ◽  
Author(s):  
Mathijs R. Wirtz ◽  
Ruqayyah J. Almizraq ◽  
Nina C. Weber ◽  
Philip J. Norris ◽  
Suchitra Pandey ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Activation ◽  
Cell Manufacturing ◽  
Storage Solutions ◽  
Manufacturing Methods ◽  
And Storage

scholarly journals Clean Energy Storage Workshop

Proceedings ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 20
Author(s):  
Ala-Juusela ◽  
Zupančič ◽  
Gubina ◽  
Tuerk
Keyword(s):  
Energy Systems ◽  
Clean Energy ◽  
Energy System ◽  
Renewable Energy System ◽  
Storage Solutions ◽  
Decentralized Energy Systems ◽  
Decentralized Energy ◽  
And Storage ◽  
Roll Out ◽  
Energy Package

The Clean Energy Package foresees a strong roll out of decentralized energy systems with renewable generation and storage. The STORY project has designed and tested six different storage solutions for a decentralized renewable energy system. In the workshop organised in the frame of SP19 conference, we highlighted some of the economic, social and technical barriers to storage in Europe and how these have been addressed.

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