Design and Implementation of Heavy Container Handling Equipment Maintenance System

2012 ◽  
Vol 472-475 ◽  
pp. 3264-3268
Author(s):  
Hou Jun Lu ◽  
Hui Qiang Zhen ◽  
Wei Jian Mi

Heavy handling equipment is the key factor to improve the level of logistic service in container terminal. In order to solve the problem of information sharing in maintenance management, this paper integrates the equipment information which locates in different spatial location on the container terminal and analysis the traditional maintenance method, giving the construction and functional modules of maintenance system, which will reduce the cost of heavy container handling equipment maintenance and improves the operational efficiency of terminal.

2021 ◽  
Vol 2 (1) ◽  
pp. 49-55
Author(s):  
Riyanto ◽  
R.A.J Susilo Hadi Wibowo ◽  
Fajar Transelasi ◽  
Dewi Kartika Sari

The performance system at the container terminal at Semarang Container Terminal (SCT) is not yet good, it can be seen from the average dwelling time which is still long. Dwelling time optimization needs to be done in order to get a balance of projected increases during trading and to compensate for the various limitations of terminal facilities and infrastructure. One of them is the container handling procedure using an application, namely the cost terminal operating system application. With the qualitative descriptive method, the dwelling time and container handling procedures will be explained using a cost terminal operation system application and the quantitative method is used to find out how much use is in the presence of a vehicle terminal using the formula. There is a very significant positive effect of dwelling time on Port revenue. The long dwelling time is due to several factors, such as high volume / import demand which causes queues during the inspection procedure, 24-hour system inability to perform inspection procedures, weather conditions, and importer readiness. By implementing this system there will be an acceleration of the dwelling time so that Beneficial to importers and the impact caused by container dwelling time after using the cost terminal operation system application is that the waiting time can be reduced.


2021 ◽  
Vol 14 (1) ◽  
pp. 40-44
Author(s):  
N. V. Baidakova ◽  
A. V. Afonin ◽  
A. V. Blagochinnov

Deterioration and aging of the technical fleet of thermal power facilities lead to an unpredictable shutdowns of power equipment. Therefore, it is necessary to create a special approach in maintenance and repair programs, taking into account the possibility of predicting the moment of onset of the defect, its development, as well as the time of possible equipment failure. The equipment maintenance system used at the enterprises is based on the collection of retrospective data on defects and failures on the main and auxiliary equipment of the TPP and summarizing statistics on identical or similar equipment samples. Analysis of domestic and foreign methods of maintenance and organization of repair, as well as possibility of their application in modern power engineering is given. In order to create an efficient production asset management system, which addresses the problem of finding a balance between the potential risk of losses associated with both the operation of equipment and the cost of correcting defects, new class systems are now used in the software market, which carry out equipment maintenance based on the forecast. In order to optimize the equipment maintenance system and ensure uninterrupted and reliable operation of the equipment at minimum operating costs, as well as to reduce equipment downtime, unscheduled and emergency operations, it is advisable to use a modern approach to manage both reliability and risk, as well as the cost of asset ownership. This will enable to control the economic efficiency of the use of production assets. The necessity of creation of an algorithm of implementation of repair programs of power equipment base on technical condition for its use in digital power systems is shown. An algorithm is proposed for implementing the repair program of power units of electric power plants, including steam boilers and turbines of thermal power plants, differing by taking into account the technical condition of power equipment, which allows recognizing the defect that has appeared, determining the cause of its occurrence, its evolution and the duration of possible equipment failure. In the developed repair maintenance algorithm, it is proposed to make a transition from statistical empirical assessments of the technical condition of the equipment to objective estimates obtained on the basis of automated technical diagnostics systems and predictive analysis of situations.


2018 ◽  
Vol 3 (1) ◽  
pp. 71-83
Author(s):  
Mashanim Mahazir ◽  

In the construction industry plant and equipment one of the important and main sources is to increase productivity of the project. To keep available the plant and equipment need all of technical, administrative, managerial action during the whole life cycle of the project. The study investigates about issue of plant and equipment maintenance management in Malaysian Construction Companies. The aim of this research paper is to improve the efficiency of plant and equipment maintenance management in Selangor construction industry by using Computerize Maintenance Management System (CMMS). The initial stage of the study involved comprehensive literature reviews to gather the data about importance of maintenance, previous implemented maintenance system and types of maintenance system as well as information about Computerize Maintenance Management System (CMMS). Quantitative research approach was adopted through questionnaire surveys. The analysis method is mainly derived from descriptive analysis. Thus, this paper explored the potential application to reduce total downtime and failure of plant and equipment by improving the effectiveness of maintenance management system. This system is computer based program simplifies and decease the duration of finding fault compare to the presently used paper-based reporting.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Arif Budiyanto ◽  
Muhammad Hanzalah Huzaifi ◽  
Simon Juanda Sirait ◽  
Putu Hangga Nan Prayoga

AbstractSustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.


2021 ◽  
Vol 11 (15) ◽  
pp. 6922
Author(s):  
Jeongmin Kim ◽  
Ellen J. Hong ◽  
Youngjee Yang ◽  
Kwang Ryel Ryu

In this paper, we claim that the operation schedule of automated stacking cranes (ASC) in the storage yard of automated container terminals can be built effectively and efficiently by using a crane dispatching policy, and propose a noisy optimization algorithm named N-RTS that can derive such a policy efficiently. To select a job for an ASC, our dispatching policy uses a multi-criteria scoring function to calculate the score of each candidate job using a weighted summation of the evaluations in those criteria. As the calculated score depends on the respective weights of these criteria, and thus a different weight vector gives rise to a different best candidate, a weight vector can be deemed as a policy. A good weight vector, or policy, can be found by a simulation-based search where a candidate policy is evaluated through a computationally expensive simulation of applying the policy to some operation scenarios. We may simplify the simulation to save time but at the cost of sacrificing the evaluation accuracy. N-RTS copes with this dilemma by maintaining a good balance between exploration and exploitation. Experimental results show that the policy derived by N-RTS outperforms other ASC scheduling methods. We also conducted additional experiments using some benchmark functions to validate the performance of N-RTS.


1991 ◽  
Vol 246 ◽  
Author(s):  
Ir. J. Van Humbeeck

AbstractA more systematic marketing research approach has finally revealed good ideas anticipating a market need for the use of shape memory alloys. The success of those new ideas, prototypes and applications are analysed in terms of “the value of the function”, defined as the importance of the function divided by the cost of providing the function. A high importance and/or a low cost of the function are thus the basic requirements for the successful introduction of shape memory applications. Attention is also paid to the way how the 4 P's, product, price, place, promotion (the marketing mix) are applied by the European companies. Those different items will be illustrated on the basis of some small-, medium- and largescale applications, used in different markets. “to the point research”, fundamental and applied, on material properties as well as on manufacturing (cost reduction) is being discussed as the key factor to increase the function value.


2001 ◽  
Vol 38 (02) ◽  
pp. 386-406 ◽  
Author(s):  
Bernd Heidergott

We consider a multicomponent maintenance system controlled by an age replacement policy: when one of the components fails, it is immediately replaced; all components older than a threshold age θ are preventively replaced. Costs are associated with each maintenance action, such as replacement after failure or preventive replacement. We derive a weak derivative estimator for the derivative of the cost performance with respect to θ. The technique is quite general and can be applied to many other threshold optimization problems in maintenance. The estimator is easy to implement and considerably increases the efficiency of a Robbins-Monro type of stochastic approximation algorithm. The paper is self-contained in the sense that it includes a proof of the correctness of the weak derivative estimation algorithm.


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