Maintenance Department Research Articles

Effect of knowledge management on performance: A case study at PT. Eastern Pearl Flour Mills Makassar

This study aims to determine the effect of Knowledge Management on the performance of maintenance department employees at PT. Makassar Eastern Pearl Flour Mills and to find out which Knowledge Management indicators are most influential on employee performance. This study uses the statistical application IBM SPSS 21. The population in this study is employees at PT. Eastern Pearl Flour Mills Makassar, amounting to 78 people. The collection of data is done by using a questionnaire. 78 questionnaire were handed out with 65 questionnaire are valid. The data were processed using multiple linear regression analysis technique. The results of the study indicate that there is the influence of the variable Knowledge Management which consists of Personal Knowledge (X1), Job Procedure (X2), and Technology (X3) against the performance of the employee (Y) with the value of the coefficient of determination of 0.286. Analysis of the data do indicate that the variable Personal Knowledge of the results of the t test for 0.3562 is the most giving effect compared with other variables.

The Impact of Machinery Maintenance on Achieving Quality of Products of the Algerian Economic Institution: A Case of Al-Hodna Mills Company

This study aimed to know the impact of machinery maintenance on achieving the quality of products in the economic establishment by applying this in Al-Hodna mills institution in M'sila. By developing interview questions and directing them to the officials of maintenance and laboratory departments, also, documents were used from various departments of the institution. The study reached the following results: There are practices for preventive maintenance, curative maintenance in the institution unde rstudy, an interest in the quality of products in the institution under study, the identification of nineteen and twenty machines in two different ways that have a direct impact on the quality of products in the institution under study.

Digital twin development for airport management

The Digital Airport and Building Information Modelling (BIM) technology linked to planning, project and management processes, construction, maintenance and operations in parametric three-dimensional design with all the underground, land and above-land information serves as a parametric database for supporting planning and improving project management. An airport digital twin is not limited to building infrastructure; it includes the associated working processes. It serves as a large-scale information repository to improve performance and obtain data more efficiently. All business sectors will benefit, including the commercial, assets management, operations, engineering and maintenance departments. The model will also promote an environment that will lead to digital transformation. For the implementation of such digital models effectively in the company’s business, strategic planning is necessary so that digital twins can beused well by organisations to bring good results to the company.

Su Rezervuarlarının Kalitesinin Değerlendirilebilmesi İçin Çok Değişkenli İstatistiksel Tekniklerin Kullanılması: Yamula Baraj Gölü Örneği

The aim of this study is to determine the changes in the water quality parameters of Kayseri Yamula Dam Lake using multivariate statistical methods. For this purpose, principal components analysis / factor analysis (PCA / FA) and cluster analysis (CA) techniques were used. Cluster analysis and principal components analysis are the most common statistical analyzes for determine water quality. The data used in the study were obtained by the State Hydraulic Works (DSI) Ankara Operation and Maintenance Department by seasonally sampling 125 samples from five different points determined from Yamula Dam Lake between September 2008 and April 2009. 16 physico-chemical parameters were selected to determine the water quality in the study area. These are; pH, electrical conductivity (EC), ammonia nitrogen (NH4-N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), total phosphorus (TP), Sulfate (S04), chloride (Cl) , bicarbonate (HCO3), total hardness (TH), magnesium (Mg), organic matter (pV), Sodium (Na), potassium (K), orthophosphate (PO43-) and calcium (Ca). According to the cluster analysis, two main clusters were found depending on the pollution gradient. In the principal component analysis, different factors explained 100% of the total variance. It has been determined that the most important parameters to evaluate the water quality of Yamula Dam Lake are ammonia nitrogen, nitrite nitrogen, sulfate, chloride, sodium, orthophosphate, potassium, pH, organic matter, total phosphorus and nitrate nitrogen.determined as the most important parameters to evaluate the water quality of Yamula Dam Lake

Racialized Emotional Labour: The Weight of Blackness in White Spaces

At the age of 17, from April 2016 to September 2016, I worked part-time at a yacht club on Toronto Island as a maintenance worker. I worked alongside another individual in the maintenance department, and we were both of Afro-Jamaican descent. The club had a predominantly white membership, with few customers who were people of colour. The staff was also mostly white, and there were only five other people of colour who worked there besides us, and none of them were black either. I found that, while interacting with members, I faced racialised remarks and assumptions based on my position as a maintenance worker and as a young black woman. To remain professional and avoid validating any of their racist assumptions, I employed a high level of emotional labour and restraint. In discussions with my Jamaican colleague, I found he faced similar racialised comments; he also felt it necessary to employ emotional control to uphold a palatable image. However, I also found that the non-black employees did not employ the same level of emotional labour. This is not an isolated experience. I have also had to engage in emotional labour in other workplaces. Moreover, it is common to hear about Black employees, especially Black women, performing emotional labour for non-black customers. Black female employees must employ more emotional labour when working in predominantly white spaces, especially in racialised occupations.

Research on Durability Evaluation Method of Bridge Slings Based on Set Pair Analysis

The service durability of bridge slings is directly related to the safety of the entire bridge and has become one of the important indicators for measuring the performance of bridge structures. How to make a more accurate assessment of bridge slings is a problem that bridge management and maintenance departments must consider. Based on the investigation of the durability damage of the bridge sling structure in China, this paper establishes a comprehensive evaluation system for the durability of the bridge sling structure, divides the evaluation criteria, and proposes the durability of the sling based on set pair analysis Sex evaluation methods. On the basis of calculating the weight of the durability evaluation index by the analytic hierarchy process, the durability level of the bridge sling structure is accurately quantified through the set pair analysis operation. The example application shows that the method proposed in this paper has a good engineering application prospect.

Preventive maintenance pada mesin die casting dengan age replacement model untuk peningkatan reliabilitas mesin

In an industry, the maintenance department plays a very important role in ensuring the smooth production process. The method of machine maintenance with preventive maintenance is a strategy that can be used to repair existing machines. This is related to proper and regular maintenance can improve engine performance and reduce the level of engine damage which will increase the continuity of production activities. In the die casting division of PT Astra Honda Motor in the observation on the die casting machine 07 there were 45 times damage to the ladle component and 11 times the damage to the auto spray component. These two components are critical components of the 07 die casting machine. After testing the compatibility index and the good compatibility of the damage time data and repair time data to obtain distribution data distribution patterns, obtain the tablespoon component MTTF assessment results of 107,833 hours and auto spray components amounting to 314,226 hours. Whereas the MTTR value of the spoon component is 0.385 hours and the auto spray component is 0.766 hours. The next step is to look for critical component replacement time intervals with the age replacement model, to further review whether it is related to increased reliability, decrease in total downtime, and cost savings before preventive maintenance is carried out and after preventive maintenance is carried out.

Road Crack Detection Using Deep Neural Network with Receptive Field Block

Cracks are common pavement diseases that affect pavement performance. To maintain the road in good condition, localizing and fixing the cracks is a vital responsibility for transportation maintenance department. However, traditional manual detection methods are considerably tedious and require domain expertise. Therefore, the research on automatic detection and identification of pavement crack is of great significance for ensuring traffic safety and pavement maintenance decisions. In this paper, we propose an automatic pavement crack detection network based on the Single Shot MultiBox Detector(SSD) deep learning framework, and introduce the receptive field module to enhance the feature extraction capability of the network, which ensures real-time crack detection and also improves the performance of accuracy in pavement crack detection.

DIESEL ENGINES DIAGNOSIS AND IMPROVEMENT OF REPAIR AND OPERATION

Introduction. In the practice of operating and repairing locomotive diesel engines there are cases when a diesel engine is put into operation after repair works with a set of defects of the high-pressure fuel equipment, the cylinder-piston group and the valve timing gear, and rather large uneven distribution of power over the cylinders which has not been fully remedied. It is known that during operation, especially in conditions of frequent load changes, the number of operational defects increases. Hard-to-detect defects in the fuel equipment, the cylinder-piston group and the valve timing gear lead to an uneven distribution of power over the cylinders, an increase in the overall level vibration, a significant increase in specific fuel consumption and an even greater soot emission and hazardous substances during transient conditions. Moreover, routine maintenance work does not always eliminate all defects on the engine, because, firstly, there is no detailed picture of the defects of the individual components before the repairs and, secondly, there is no parametric testing of the condition of the high-pressure fuel equipment, the cylinder-piston group and the valve timing gear after repair work. Purpose. The task of the effective and reliable diagnostics of the technical condition of the engine components before carrying out repair work to accurately detail the scope of the upcoming repair is crucial as well as the subsequent quality control of the repairs, as a result of which the remaining unresolved defects can be identified. After eliminating defects, it is necessary to evenly distribute the load between the cylinders, which should done by balancing the mean indicated pressure Pi (MIP) with the permissible pressure deviations Pz at the end of compression Pc and exhaust gas temperatures Texh. Results. The research of the working process undertaken by the staff of the Department of Ship Power Plants and Technical Maintenance of Odessa National Maritime University showed that during rheostat tests of K6S310DR diesel engines it is possible to promptly obtain reliable diagnostic information. This is done by using parallel analysis of the pressure-volume diagrams and vibration records of the high-pressure fuel equipment, the cylinder-piston group and the valve timing gear. The spectral analysis of vibroacoustic signals of the gas turbocharger and the analytical method for eliminating the effect of power leakage in the discrete spectrum allows for on-line diagnostics of the oscillation level of the gas turbocharger rotor. Conclusions. These methods, implemented in the DEPAS system developed by the specialists of Odessa National Maritime University, can be effectively used in practice of operating locomotive diesel engines.

FINANCIAL INCLUSION AS A DRIVER PROVIDING FINANCIAL SECURITY IN UKRAINE

The article explores and summarizes the approaches of scientists to the definition of "personnel management", forms the author's definition as a set of interrelated methods, principles and forms of organizational mechanism for the formation, reproduction, development and utilization of personnel, creating optimal work conditions and employee motivation. The application of personnel management methods in successful business entities is analyzed on the example of companies included in the rankings of the best employers of Ukraine, in particular, whose production facilities are located in Sumy region - "Mondelis Ukraine" (Trostyanets) and "Farmak" (Shostka). It is concluded that the successful implementation of personnel management strategy (HR-strategy) is possible only with the correct composition of tools of administrative and economic influence, which can be supported (depending on financial capacity, management sentiment, accepted business practices, etc.) by socio-psychological methods. According to Hay-McBerAssociates' approach, six leadership styles have been identified. The author's vision presents their evolution (from the use of mostly administrative to the most modern methods (including coaching). The personnel management system of the «Sumy Road Maintenance Department Branch» has been studied. An assessment of the capabilities of this company to improve the efficiency of the existing personnel management system was made. Proposals for modernization of personnel management policy within the framework of administrative and economic methods in their interconnection and effective interaction are given. The most appropriate style of personnel management at the current stage of development of the organization is "visionary", which contributes to the formation of a successful long-term development strategy and the creation of perspectives for staff. But in today's reality, this style must be abandoned with the prospect of moving to a democratic version, reducing the share of administrative methods and increasing the importance of economic methods as more progressive methods of stimulating labor. In addition, it is determined that to increase the efficiency of personnel management of the Branch it is proposed to use modern HR-software with the use of cloud technologies for application in management activities. The analysis of IT-operators and their products allowed to identify quite interesting proposals (Microsoft, SAP, Terrasoft), but the main limitation to the use of these programs in the activities of the Branch is the high cost of use (up to 50,000 UAH / month). That is why we offer to utilize the software product "PeopleHR" of the company "PeopleFource", which has not yet gained much popularity in the Ukrainian market. This is a fairly full-featured program aimed at medium-sized businesses. It was also decided to focus on the system of additional bonuses for staff depending on the length of service and compliance with labour discipline, as the most effective method of improving the efficiency of employees.

Integral estimation of the activity of the maintenance department of the mining company

This paper demonstrates the results of study in relation to increasing the efficiency of the maintenance department of the mining company. We consider the systematic and complex approach to estimating the activities of the maintenance department, which is based on analyzing the efficiency of the arrangement for repairing and maintaining the mining machinery, evaluating the practicability of its operation according to the ratio ‘result/expenses’, studying the structure of the maintenance personnel and also evaluating the influence of operating modes and conditions on the productivity of machinery. This approach allows to find out the hidden reserves in the organizational, technical, technological and economic systems of the company. In addition, we demonstrate the results of evaluating the system ‘excavator-cut face’, which characterize the condition of an excavator and conditions (cut face, working area) of its operation, perform the analysis of the downtime of the equipment during the maintenance and when it breaks down. We consider the systematic approach to estimating the economic practicability of operating and repairing the mining machinery, which allows to make managerial decisions in relation to every unit of machinery. Also the recommendations for increasing the efficiency of the maintenance department of the company are given.

TQM implementation challenges: a case study of a building maintenance department of an institution of higher learning

The standards of maintenance management of buildings at many higher institutions, need improvement. TQM has proven to be effective in the improvement of quality in the maintenance of building facilities, although many higher institutions are still grappling to implement TQM in the maintenance of their buildings. This study examines the perceptions that maintenance workers have about the challenges they face during the implementation of TQM in the maintenance of buildings of institutions' of higher learning (IHL), assessing whether there are statistical differences based on workers' affiliated campuses and their positions. A case study approach utilising quantitative data was used in the study where a questionnaire with closed-ended questions was distributed to purposively sampled maintenance workers in an IHL in South Africa. A significant difference was found in the responses provided by workers positions as regards the impact of TQM challenges in their building maintenance activities.

Документы по истории эксплуатационно-технической службы российского Военного воздушного флота 1910–1917 гг. в фондах Российского государственного военно-исторического архива

The article describes the part of the Russian State Military History Archive (RGVIA) fonds, which contains documents related to the maintenance of aircrafts, engines, aircraft weapons, apparatus, radio stations, and photographic equipment of the Russian Air Force Fleet (VVF) in 1910-17; they testify of the emergence of the maintenance department. As the forming department had no management bodies, its documents deposited in the RGVIA do not form a compact fond, they are found in a large array of fonds, some of which have no relation to aviation. In the modern scholarship on the history of Russian military aviation, there is a lack of the RGVIA reference materials on location of documents on the history of maintenance of the Russian Air Force Fleet. The article is to provide researchers with a detailed tool for searching documents on the history of maintenance in the archival fonds. The author relies on his knowledge of historical development of the Russian Air Force Fleet, his long-term research experience in the RGVIA, and on reference publications on the archive fonds. Having analyzed the RGVIA fonds, he shows what kind of documents on the history of the VVF maintenance can be found there. Features of various fonds and volume of documents on the history of maintenance in them are being described. It has been identified in which fonds the guidelines and instructions for the aircrafts maintenance are stored, as well as reports on technical condition of aircrafts, armament, and equipment in the squadrons, materials on aircraft radio equipment usage, reports on inspection of technical condition of aircrafts in the units, documents on accidents and disasters. The article reviews fonds of various organizations engaged in operation and repair of the aviation equipment, of management bodies of the armed forces, of integrated combined arms force, and of military aviation. The analysis will help the historians of the Russian Air Force to navigate numerous RGVIA fonds and to speed up their search of documents.

Proposing a More Efficient Maintenance Scheduling for an Overhaul Maintenance Project in Engineering Asset Management

In maintenance activity, scheduling planning is an important step to improve the performance of maintenance department. In some cases, the data to support the process to develop the maintenance schedule is unavailable. In this research, it is argued that Genetic Algorithm (GA) is an appropriate tool to support the decision maker in order to develop the schedule. The data required in this research is obtained from the maintenance data in the sugar milling company in Yogyakarta. The company run the production of sugar and spirits/alcohol. The Production process (milling seasin) is usually performed within the harvesting months of the raw material: the sugar cane. It is approximately in the month of February to August. On the other hand, the overhaul maintenance process is performed after the milling season. The overhaul maintenance planning is created by the manager of the maintenance department, and usually is done using the manager qualitative approach without any sciencetific approach. To get a more efficient schedule of maintenance, several parameters are set in this research. The parameters are then applied as the paramenters in GA. Those are: The number of manpower required and the duration of operation each activity. To run the GA model, Python programming is used. Before start the GA process, the parent chromosom and its fitness are determined. The date of maintenance activity start per each activity is set as the parent chromosome and the fitness is determined using a formula. The process of finding the better maintenance schedule is then performed based on the procedures in GA. It is indicated from the result that the proposed schedule generated in GA required less number of manpower.

Unsupervised Learning for Opportunistic Maintenance Optimization in Flexible Manufacturing Systems

Large scale manufacturing systems with a high degree in automation and the ability to produce several product variants in parallel meet current requirements of a highly flexible and at the same time productive manufacturing process. In practice, however, the non-transparency as well as the complexity of these systems overwhelm the maintenance department in the effective planning and implementation of maintenance tasks. As a result, major maintenance tasks are postponed to non-production times which causes increased maintenance cost as well as a decrease in system availability. This research explores a method that uses unsupervised learning algorithms to analyze type mixes and related process performances inside the system. The information is used to determine the optimal master production schedule prior to maintenance activities which leads to more frequent and extended time windows for maintenance activities during production time and thus to an increase in system availability.

A Review on Problems of the Public Building Maintenance Works with Special Reference to Nepal

The study was conducted during the period from the month of March to April 2020. Published literatures such as thesis, paper, manuals, reports, and database were collected from different sources and studied thoroughly. The conclusions were drawn on the basis of the studied materials. The study found that the public buildings of any nation are too valuable assets and maintaining them at regular functional state is becoming challenging job for developing countries like Nepal. The most significant building maintenance problems are: plumbing and w/s, toilet, bathroom and sanitary, electrical problems, poor maintenance management and practices, peeling of paint, dampness, surface cracking, growth of fungi or small plants and decay or breaking of floor/tile. Decay, deterioration and failure of the fabric and finishing of a building due to negligence of maintenance have harmful effects on the contents and occupants. Causes of maintenance problems can be grouped as managerial, technical, building user related and natural causes. There are major causes such as design defects, inadequate contractor and construction supervision, use of low quality materials and workmanship, unavailability of qualified human resources and quality materials, poor maintenance management, insufficient maintenance fund but high and unexpected cost, age of building, natural disaster and earth settlement and so on. Lack of proper maintenance department, programs, plan and policy are the critical issues of improvement by public institutions. Patent and latent defects in buildings are serious issues and failure to address them would contribute to additional rectification cost, hamper the smooth operation of the building and reduce its service life. Buildings and facilities that are not properly maintained can cause discomfort and lead to accidents and injury to the users. The study would like to suggest that the handling of maintenance problems should be minimized by identifying the root causes and applying the effective and efficient maintenance management program. Precaution should be applied at design and construction stage ensuring quality construction and delivery with all building documents. Furthermore, each public institution should formulate maintenance objectives, apply suitable strategy, manage adequate resources, develop maintenance action plan, periodic review of performance and strategy at service stage.

Implementation of SMED in a cutting line

The present work was carried out on a cork company that is dedicated to the production of floating floors and its aim was to reduce by 15% the time it takes to perform series changes in one cutting line. The research methodology used in this work was the action research methodology. The methodology consisted of 5 phases, as follows: 1st - historical data collection and setup filming, 2nd - footage analysis and conduction of informal interviews with workers, 3rd - flow, Gantt, and spaghetti charts creation and making of an action plan based on the waste and improvement opportunities identified in video analysis, 4th - validation with the line workers of the new operating mode created with the Single Minute Exchange of Dies (SMED) tool and communication to the Maintenance department about their role in this project, 5th - making and placement of plasticized cards on the cutting lines to ensure that new operating mode is followed and carrying out the actions identified in the action plan. The obtained results are very positive in the cutting line: after the implementation of the new guidelines in the Final Finishes 2 (AF2), there was a 2 minutes increase in the changeover compared to the time initially observed, but being now performed by only two workers and not by three, as initially occurred.

Killer Whale – Backpropagation (KW-BP) Algorithm for Accuracy Improvement of Neural Network Forecasting Models on Energy-Efficient Data

<p>Green technology building is not newly introduced to the world nor Malaysia, but it is rarely practiced globally and now it has promoted noteworthy due to destructions caused by human hands towards the nature. Now people started to realize that the world is polluted by many hazardous substances. Therefore, Help University came up with the effort of preserving the nature through a new Green Technology campus, which has been fully operated since year 2017. In this research, neural network forecasting models on energy-efficient data of Help University, Subang 2 green technology campus at Subang Bistari, Selangor has been done with respect to value-for-money(VFM) attribute. Previously there were no similar research done on energy-efficient data of Help University, Subang 2 campus. The significant factors with respect to energy or electricity saved(MW/hr) in the year 2017 variable were studied as recorded by Building Automation and Control System(BAS) of Help University Subang 2 campus. Using multiple linear regression (stepwise method), the significant predictor towards energy saved(MW/hr) was Building Energy Index(BEI)(kWh/m2/year) based p-value<α=0.05. A mathematical model was developed. Moreover, the proposed neural network forecasting model using Killer Whale - Backpropagation Algorithm(KWBP) were found to better than existing conventional techniques to forecast BEI data. This research is expected to specifically assist maintenance department of Help University, Subang 2 campus towards load forecasting for power saving planning in years to come.</p>

Development and Application of adjustable soft ladder head of transmission lines

Soft ladder head was mainly used for connecting soft ladder and hangs from a convenient tools for live working on the wire in areas of existing transmission technology. Usually it includes a ladder head rectangular frame. Head on top of the frame is installed in the escape of at least two side-by-side pulleytype hook. Pulley type hook into a curved hook. Bending coupler overlap there is between the pulley. Pulley wheel surface of hook is on the wire. Implementation of sliding go along with the wires. The lower end of the frame is welded with hanging rings connected with the soft ladder. The ladder frame is made of aluminium alloy. The stability of the soft ladder is good, the safety factor is high, and the overhaul personnel work at high altitude becomes relaxed and happy. The soft ladder head of vertical double-split conductor is fixed structure[3-5]. However, the distance between two vertical bundled conductors of domestic transmission lines is not the same distance. This requires the maintenance department to equip with a number of software heads. If you are not familiar with the line situation, you need to bring a number of solutions. This makes it impossible for the original ladder head to realize a set of ladder heads for various purposes. It does not have generality, increases cost and affects work efficiency.

Implementing airport strategic asset management for short-term gains and long-term benefits

The International Organisation for Standardisation (ISO) defines asset management as the coordinated activity of an organisation to realise value from assets. This simple and elegant definition might lead airport managers to conclude that the individual activities of their financial, planning, infrastructure development, properties development, and operations and maintenance departments constitute asset management. Before drawing that conclusion, airport executives should re-examine how much coordination within these departments currently takes place and explore what asset value means within their organisation. Also, airport executives should weigh the investment of a full-scale asset management programme implementation with short-term actions that can create immediate benefits for the organisation. This paper presents the current evolution of the asset management profession, specifically within the aviation industry, and suggests tactics to balance long-term programme development with immediate activities that prove value to the organisation. It also suggests balancing the priorities of different internal departments and increasing interaction for an improved physical environment.