Maintenance Business Research Articles

Pemanfaatan Data Transaksi Untuk Mewujudkan Kepuasan Pelanggan, Brand Awareness Dan Loyalitas Pelanggan

Business development and growth is the ultimate target of establishing a company. Apart from being sales data, transaction data can also be a company asset that can be used for operational management and marketing strategies. For operational purposes, transaction data that reflects customer capabilities and conditions can be used for inventory management purposes by predicting the need for raw materials to guarantee the availability of products or services within a certain period of time according to customer needs. Companies can also develop products according to customer needs and minimize unnecessary expenses resulting from excessive procurement of raw materials. For marketing purposes, transaction data can be a reference for determining demographic customer characteristics. Customer characteristics can be used as a tool to determine current customer segments and how to provide maximum service to customers. The overall condition of customers will be valuable information for companies in carrying out marketing strategies. This research will explain how to utilize sales transaction data during a certain period using qualitative methods to achieve customer satisfaction through good raw material inventory management and appropriate product and service development, creating brand awareness (customer awareness of the brand) through digital marketing (digital marketing) and customer loyalty through customer relationship management strategies in the Exist Autodetailing Yogyakarta vehicle body maintenance business.

Management Guidelines for Maintenance Services to be Success in to the Industrial

The number of entrepreneurs in the maintenance business continues to increase, and the number of entrepreneurs who lose performance tends to increase steadily every year. The purpose of this research was to study the approaches for successful management of maintenance services in the industrial sector with qualitative research by using in-depth interviews. For quantitative research, a survey was conducted with a questionnaire from business owners or chief executives of the maintenance service business in the industrial sector, which earned profit three years continuously in a total of 500 industries, by using descriptive statistics, reference statistics, and multiple statistics. The results found that guidelines for the successful management of maintenance services in the industrial sector, which are important, can be divided into four components as follows:1) Data Insight aspect, and 2) The aspect of holding the alliance as the center. 3) Innovation and technology and 4) service aspect. It was found that Medium to Small businesses were sized, giving importance to the successful management of maintenance services in the industrial sector. The difference was statistically significant at the level of 0.05. The results of the analysis of the developed structural equation model were found to pass the assessment criteria, which is consistent with the empirical data, with a chi-square probability value of 0.133, a relative chi-square value of 1.065, a consistency index of 0.933, and a root mean square index of the error estimate was 0.011. The study discusses the importance of training and education to ensure the successful implementation of any new technologies or procedures. It also examines the role of communication and collaboration between maintenance teams and other departments in ensuring that everyone is on the same page. The findings of this study can provide valuable insights for industrial maintenance teams, enabling them to increase their efficiency and reduce costs.

Design-Manufacturing-Operation & Maintenance (O&M) Integration of Complex Product Based on Digital Twin

This paper presents a complex product design-manufacturing-operations and maintenance integration method based on digital twin technology. This method aims to solve the problem of information silos in the design, manufacturing and operation and maintenance phases of complex products in the context of intelligent manufacturing and to integrate the design, manufacturing and operation and maintenance processes of complex products. To address the integration needs of complex product design, manufacturing, operation and maintenance business integration, a framework for complex product design-manufacturing-operation and maintenance integration based on the digital twin is first proposed, in addition to designing a model and operation mechanism for combining the virtual and real of the digital twin model. Then, the implementation of multistage collaborative design technology, data intelligent sensing technology, and data integration and fusion technology for the digital twin-based design-manufacturing-operations and maintenance integration processes are analyzed and discussed. Finally, a case study involving the fault prediction of key components of the bogie of an EMU demonstrated the integrated mode of operation in the design-manufacture-operation and maintenance process of the EMU. It verified the effectiveness of the proposed framework, process and methodology.

Machine Predictive Maintenance by Using Support Vector Machines

Predictive Maintenance (PdM) is an adoptable worth strategy when we deal with the maintenance business, due to a necessity of minimizing stop time into a minimum and reduce expenses. Recently, the research of PdM is now begin in utilizing the artificial intelligence by using the machine data itself and sensors. Data collected then analyzed and modelled so that the decision can be made for the near and next future. One of the popular artificial intelligences in handling such classification problem is Support Vector Machines (SVM). The purpose of the study is to detect machine failure by using the SVM model. The study is using database approach from the model of Machine Learning. The data collection comes from the sensors installed on the machine itself, so that it can predict the failure of machine function. The study also to test the performance and seek for the best parameter value for building a detection model of machine predictive maintenance The result shows based on dataset AI4I 2020 Predictive Maintenance, SVM is able to detect machine failure with the accuracy of 80%.

PERENCANAAN MANAJEMEN PROYEK DALAM PERAWATAN APU GTCP131-9B PT. GARUDA INDONESIA

The air transportation industry in Indonesia is growing rapidly and is very competitive. Aircraft fleet maintenance is an important factor in supporting airlines to compete in the local and global industry. On the other hand, delays in the completion of fleet maintenance can result in delays in flight schedules and this is very detrimental to the airline and passengers. This is a challenge for business actors in the aircraft maintenance sector because of the risk of being penalized for delays that occur. Therefore, this study aims to reduce the risk of late fines faced by aircraft maintenance business actors. With project management, the company is expected to be able to produce effective and efficient maintenance activities. This is very much needed by the company in producing optimal output and has a great impact on airlines that use aircraft maintenance services. In this study, the evaluation of project management uses the Critical Path Method (CPM), Program Evaluation and Review Technique (PERT), Work Breakdown Structure (WBS) to evaluate the preparation of aircraft maintenance activities and the Crashing method if acceleration is needed in completing maintenance activities in accordance with agreed agreement. With the preparation of good project management, it is possible to estimate the time and cost needed to complete a project so as to minimize delays and losses in completion. The project management planning used in this project resulted in an accelerated completion of 3.5 days with an additional cost of $ 8,958.23.

Creating Value for Reliability Centered Maintenance (RCM) in Ship Machinery Maintenance from BIG Data and Artificial Intelligence

Seagoing ships transport nearly 90% (International Maritime Organization, in IMO’s contribution to sustainable maritime development, 2012) of the world trade by volume worldwide through a large network of maritime logistics companies located in different time zones making it the lifeline of the global economy. This makes it challenging for the shipping companies to run their operations economically ensuring the safety of life at sea and a pollution-free environment. The introduction of Electronic Chart Display and Information System onboard ships to improve safe navigation and the use of sensors to monitor machinery parameters and track real-time ship performance have paved the way for digital transformation in the maritime industry. These performance monitoring tools though fundamental to improving fleet performance, fetch enormous data, however, their complexity makes it challenging to deal with the 4 Vs, volume, velocity, veracity, and a variety associated with big data terminology. This paper describes how ships can benefit by deploying Big Data analytics, the Internet of Things and Artificial intelligence (AI) in enhancing the value of Reliability Centered Maintenance (RCM) in ship maintenance and thus are indispensable for the RCM. The author believes that the synergy that will be created by using Big data, RCM and AI concepts will enable the creation of a maintenance business model that will eventually develop a new growth engine for the stakeholders in the shipping industry.

재건축 조합과 시공자의 분쟁 해결방안에 관한 연구

In the case where the owner of the land carries out the reconstruction project by establishing a cooperative, the cooperative tends to lack the ability and expertise to carry out the project independently. The cooperative carries out the project through contracts with service providers in each field, such as contractors and maintenance business specialists. In particular, the association and the contractor must carry out the reconstruction project in a complementary manner. However, conflicts of interest may lead to disputes between the cooperative and the contractor. Social impact should be eliminated and the reconstruction project should proceed smoothly upon the resolution of these disputes. Disputes on the Dunchon Jugong reconstruction project are regarding construction costs, sale prices, and luxury complexes. As a solution to these disputes, the system should be improved so that the verification of construction costs is legally binding. Like the Construction Management system, the support system for strengthening the professionalism of the union should also be activated. In addition, it is necessary to establish organizations and systems such as the operation of a consultative body for dispute settlement, the dispute mediation committee and the maintenance project coordinator. With the activation of the trust-type maintenance project, the reconstruction project should proceed smoothly by shortening the project period due to procedural shortening and preventing internal disputes in the association. Lastly, it is expected that research will be actively conducted on the contents that have limitations in the current and legal systems, contributing to the smooth progress and vitalization of the reconstruction project. In this study, by examining the disputes between the Dunchon Jugong reconstruction project and the contractor, we propose a solution to the dispute and expect that the solution will prevent the occurrence of disputes in advance and further deterioration in the progress of the project so that the reconstruction project can be resolved smoothly.

Research on Flexible Equipment Maintenance Process Scheduling Problems Based on HNSGSA Algorithm

The characteristics of military equipment maintenance work are analyzed. According to the actual needs of the army, the optimization objective is designed, and a multiobjective flexible maintenance process optimization model is built based on the maintenance business organization process. Combining the advantages of NSGA-II algorithm and the simulated annealing algorithm, this paper proposes a novel improved HNSGSA algorithm, of which algorithm flow is detailed. In accordance with the requirements of the optimization model, this paper also specifically designs the coding methods of the process sequence, the equipment selection and the process scheduling, and the corresponding cross mutation method. The feasibility of the built model is verified by the actual data of maintenance business. And, the superiority, accuracy, and effectiveness of the proposed algorithm are further validated by the comparison with the NSGA-II algorithm and the simulated annealing algorithm, providing a scientific reference for the army to carry out equipment maintenance.

Physical and Mechanical Properties of Rural-Road Pavement Concrete in South Korea Containing Air-Cooled Blast-Furnace Slag Aggregates

The purpose of this study was to assess the physical and mechanical properties of pavement concrete for rural roads of South Korea made with air-cooled slag aggregate, which is an industrial byproduct. This study assessed the physical and chemical properties according to the following performance requirements based on the design criteria of the Korea Ministry of Agriculture’s Agricultural Production Infrastructure Maintenance Business Plan and the Korea Expressway Corporation’s Highway Construction Specialized Specifications: slump of 80 mm or greater, air content of 4.5 ± 1.5%, compressive strength of at least 21 MPa, splitting tensile strength of at least 4.2 MPa, and a chloride penetration resistance of less than 4000 C. The slump, air content, compressive strength, splitting tensile strength, flexural strength, and chloride ion permeability of the aggregate-containing concretes were measured. The air-cooled slag aggregates provided the necessary physical and chemical properties and presented no environmental issues. Furthermore, the slump and air content of concrete made with the aggregates met the target values. The slump decreased and the air content increased with increasing amounts of air-cooled slag aggregate. Mechanical testing of the concretes containing air-cooled slag aggregate established that they met the performance requirements for rural road pavement.

Application with Internet of things technology in the municipal industrial wastewater treatment based on membrane bioreactor process

Anoxic–oxic process is also called anaerobic aerobic process and used widely with the membrane bioreactor (MBR) for wastewater treatment, particularly in China, thanks for their high efficiency, good-quality permeate and easy operation. However, because the content of the feed wastewater fluctuates in a large range and the operation condition of the system needs to be controlled accurately, it is very important to find an efficient way to constantly monitor the nodes of the system, and adjust the operation parameters, including the quantities used in the chemical treatment. Therefore, it is necessary to use Internet of things technology (IOT) sensing and control equipment to realize the dynamic monitoring of sewage treatment process parameters, so as to serve the drug delivery and equipment online control. This study introduces an application case based on IOT sensor control and supporting maintenance business. Through the practical application of this technology in an environmental protection sewage treatment enterprise in Wuxi, this study introduces a method of bringing the IOT into the MBR system of industrial wastewater treatment which can continuously and accurately monitoring the nodes of the system. Based on this study, an analysis and decision-making system based on real-time monitoring data can be realized to adjust operation parameters in time. In this method, the IOT is introduced into the MBR system of industrial wastewater treatment. The results show that with the support of IOT, the sewage treatment system runs stably and the treatment efficiency is significantly improved.

Fossil Fuels Consumption Subsidies and Domestic Production in Nigeria By C.E Alozie (PhD, ESV (Registered Estate Surveyor & Valuer) FCA)

This paper examined fossil fuels procurement and distribution; local production, lifting and gaps in demand and supply; and considered prior subsidies spend on future produce and import expenditure decision. Secondary data-sets used, were extracted exclusively from government’s sources that covered procurements (importation, local production and lifting) consumption, approved fiscal subsidies budgets and actual disbursements. Tools of analyses used are: numerical analysis; local production and imported volume of products ratios, make or buy (import) ratio analysis of the direct subsidies fiscal expenditures (repair-maintain-refine specie of cost efficient business model of turnaround maintenance business cost model with import decisions). Results confirm Nigeria significantly relied heavily on imported petroleum products for a greater proportion of her domestic consumption in the latter 16 years. Local refining productivity of fossil fuels as a source of products procurements from FGN refineries declined sharply the ratio of 1.01in the first 16 years (1989 -2004) down to 37.5% around 2012 and down to an average of 18 percent in the last eight years with zero output in 2020. Conversely, Nigeria’s direct subsidies fiscal expenditure increased steadily within these 32 years which amounts to about N15 trillion of which would have saved 50 percent of 25% of subsidies spends where 25% of N15 trillion on proper regular maintenance of refineries in first angle. Similarly, Nigeria would have more than 50% of subsidies disbursements. In conclusion, Nigeria’s our overdependence on importation necessitates such huge fiscal subsidies spends, which is also the root cause of on subsidies spending and wastage of public resources. Public resources disbursed for fiscal subsidies were more than enough to sustain proper turnaround maintenance of extant refinery and possibly finance building three of new additional refineries during the affected years. The paper concludes that Nigeria reliance on importation for 85- 90% of her fuels consumption; lack of proper routine maintenance of extant local refineries, production inefficiencies as well as grossly mismanagement of the daily domestic crude-oil allocations were primarily responsible for the huge fiscal subsidies expenditure. Furthermore, Nigeria’s indulgence in fuels importation and negligence of local refineries is tantamount to creating employment in those other refined fuels producing countries and escalating unemployment in Nigeria and this trend should be reversed. As a result, government should sustain subsidization of fuel consumption spending until such a time; Nigeria is able to produce sufficient refined products locally for consumption and export part thereof.

Research on power grid operation and maintenance cost based on analysis of internal and external influence factors

In the context of the company's cost-reduction reform, lean production operation and maintenance cost management as the goal, production and maintenance cost analysis as the carrier, the existing power grid production and maintenance business and financial accounting costs to achieve "industry-finance integration" as the goal of management projects. Under the strategic background of reducing cost and increasing benefit, the implementation of this project is of great significance to optimize the main part of the cost of the company to optimize the configuration of production cost, to control reasonably, to enhance management.

Simulation-supported maintenance design and decision-making using agent-based modeling technology

The optimization and continuous update of maintenance design, such as organization plans or introducing Internet-of-Things, are crucial for reliable and profitable maintenance business. However, various factors and interactions in maintenance make quantitative estimations of risk difficult and slows the improvement process. We developed a maintenance-business simulator on the basis of agent-based modeling that is applicable to a wide range of industries for testing various types of improvements. We applied our simulator to an organization plan of a medical-equipment business. We determined future business risks and tested the mitigation plan with the simulator.

New Business Models from Prescriptive Maintenance Strategies Aligned with Sustainable Development Goals

The industry has entered on the Fourth Industrial Revolution, the so-called Industry 4.0, with global markets and strong competition, some traditional manufacturing firms are implementing new maintenance innovations and policies, based on digitalisation and data driven approach, but also based on servitisation. The implementation of these new equipment maintenance business models, could require new organisational approach at different levels. Different sorts of integration are arranged, in vertical with a flat structure of intelligent, flexible and autonomous units working integrated, in horizontal with a strong external and internal supply chain integration, and in transverse, with an integrated approach that link internal and external stakeholders. A new prescriptive maintenance business model for equipment exploiting digitalisation opportunities, including stakeholder relationship is proposed. Different perspectives such as organisational, innovation and sustainability have been adopted to discuss the implications of the proposal. The social value potentially gained as well as the alignment with the SDGs are discussed as well.

Design of “One-key” security measures system for smart substation

With the continuous advancement of technology and the ever-increasing demand for information digitization in power systems, smart substations have become the most mainstream substations currently used in China. The secondary circuit and pressure plate of the intelligent substation are virtual forms constructed by internal software. There is no obvious electrical disconnection point, so there is a big difference in operation and maintenance and repair methods from conventional substations. Combined with the requirements of the intelligent station maintenance business, this paper proposes to deploy a “one-click” security system in the station control layer monitoring system of the intelligent substation. This system is only used as an additional module and does not depend on the software and hardware structure of the station control layer. It is of great significance to effectively improve the efficiency of intelligent secondary equipment operation inspection and better guarantee the safe and stable operation of the power grid.

Underwater Investigation and Analysis of Upstream Face for a Built 40 years’ and 6 km Long Embankment Dam in Africa

The world’s hydropower has experienced considerable development. With the coming of the post hydropower era, the business of new projects will gradually decrease, and meanwhile, the business of hydropower station renovation and dam maintenance will gradually increase. This paper introduces the methodology and the finding of the underwater investigation, analyses the upstream face stability and recommends solutions of rehabilitation for a built 40 years’ and 6 km long embankment dam in Africa, aiming to provide a reference for similar projects of dam maintenance.

Research on the Development of SLA Indicators for Personal Information Protection of Public IT Maintenance Business

In the field of public informatization maintenance business, the attacks of external illegal users such as unauthorized leakage, destruction, and alteration due to intentional or inadequate management of personal information are increasing. In order to prevent such security incidents in advance, it is necessary to develop and quantitatively manage SLA indicators. This study presents the privacy SLA indicators and suggests specific methods such as information collection method and timing of the privacy SLA indicators. In order to confirm the validity and reliability of the proposed SLA indicators, an online survey was conducted with a group of experts. As a result, it was evaluated that compliance rate of personal information destruction and compliance rate of personal information protection system would be effective when applied to new and revised SLA indicators in terms of importance and validity. In the future, using SLA indicators for personal information protection as a standard for public information maintenance will contribute to improving SW quality and securing safety.

Sustainable maintenance supplier performance evaluation based on an extend fuzzy PROMETHEE II approach in petrochemical industry

Petrochemical industry is a high-pollution and high-risk industry. Under the trend of maintenance business outsourcing in petrochemical industry, the performance of maintenance suppliers is directly related to operation safety. Faced with large scale and varied capability of maintenance suppliers working in a dangerous environment with high temperature, high pressure and high explosivity, petrochemical companies need to evaluate the sustainability performance of maintenance suppliers with appropriate evaluation criteria and methods. However, few scholars focused on this problem of particular industries. Therefore, in this paper, a novel performance evaluation criteria framework of maintenance suppliers was formulated and an extended fuzzy PROMETHEE II method was proposed to assess their actual performance. Firstly, considering the lack of performance criteria in maintenance process of petrochemical firms, a sustainable supplier performance evaluation criteria framework was established from 3 dimensions, including basic aspect, processing aspect as well as sustainability aspect; Secondly, the fuzzy PROMETHEE II approach was presented by combining the fuzzy set theory with PROMETHEE II method; Finally, based on the case study of a Chinese petrochemical enterprise and sensitivity analysis of the decision framework, the effectiveness of the performance evaluation criteria and the applicability of the employed method were verified.

DISEMINASI TEKNOLOGI PAKAN BUATAN ALTERNATIF UNTUK PENGEMBANGAN BUDIDAYA IKAN GURAME INTENSIF DALAM UPAYA MENINGKATKAN PRODUKTIVITAS PERIKANAN DI KELURAHAN LIMAU MANIS KECAMATAN PAUH KOTA PADANG

IPTEKS berbasis dosen dan masyarakat (IbDM) bertujuan untuk mengaplikasikan atau mendiseminasikan teknologi pakan buatan alternatif untuk pengembangan budidaya ikan gurame intensif dalam upaya meningkatkan produktivitas perikanan dan meningkatkan pengetahuan serta keterampilan petani ikan (masyarakat) di Kelurahan Limau Manis, Kecamatan Pauh, Kota Padang dalam bidang usaha budidaya ikan di Sumatra Barat. Di samping itu, juga diharapkan petani ikan di Sumatra Barat dapat melakukan pemeliharaan dengan teknik yang baik dan ramah lingkungan. Dengan demikian kegiatan IbDM ini juga diharapkan mampu menekan biaya operasional dalam budidaya ikan gurami intensif dan pada akhirnya dapat meningkatkan pendapatan para petani/ masyarakat Kelurahan Limau Manis melalui pengembangan usaha budidaya ikan yang berkelanjutan. Untuk mencapai hasil diseminasi teknologi yang optimal maka sasaran utama IbDM di Kecamatan Pauh ini adalah kelompok tani ikan dan para pembina/pemuka masyarakat Kelurahan Limau Manis yang diharapkan mampu memberikan motivasi kepada petani untuk mensosialisasikan metode pembuatan pakan formula alternatif untuk pengembangan budidaya ikan gurame secara intensif dan ramah lingkungan. Metode yang digunakan dalam kegiatan ini adalah (1) Penyuluhan (ceramah), dengan materi utama: (a) pengenalan berbagai jenis bahan baku (raw material) yang dapat digunakan untuk makanan ikan gurame, (b) memberikan pengetahuan tentang penyusunan formulasi pakan buatan dengan metode kuadrat, (c) memberikan pengetahuan tentang proses pembuatan makanan buatan (d) menambah pengetahuan masyarakat tentang cara menyimpan pelet yang baik agar lebih tahan lama dan (e) pemberian materi tentang pengujian mutu pakan, baik secara fisika, kimia dan biologis; dan (2) Peragaan pembuatan pakan buatan alternatif untuk budidaya ikan gurame. Dari hasil kegiatan IbDM ini didapatkan bahwa pengetahuan dan keterampilan kelompok tani Kelurahan Limau Manis Kecamatan Pauh, Padang sebelum dilaksanakan kegiatan IbDM ini masih sangat rendah. Namun demikian motivasi atau keinginan masyarakat kelompok tani mitra IbDM untuk melakukan usaha budidaya atau pemeliharaan ikan sangat besar. Hal ini terlihat dari keinginan masyarakat kelompok tani mitra IbDM untuk menguasai teknologi pembuatan pakan alternatif ikan gurame dari hasil limbah daun dan batang talas yang diproses menjadi tepung relatif cukup tinggi. Lebih jauh dari hasil kegiatan IbDM pada masyarakat ini dapat menambah pengetahuan dan keterampilan masyarakat dalam mencari pakan alternatif untuk pakan ikan gurame sehingga kegiatan budidaya dapat berjalan dengan baik di daerah mitra IbDM. Agar kegiatan budidaya berjalan dengan baik di daerah mitra IbDM perlu dilakukan kegiatan IbDM secara berkelanjutan tentang teknik pembuatan pelet ikan alternatif dan teknik pemeliharaan ikan yang efisien dan efektif. Di samping itu perlu dukungan dana atau pemberian kredit oleh pihak yang berwenang kepada masyarakat atau petani ikan untuk modal pengembangan usahanya.

Developing demand forecasting model of remanufactured parts of mining machinery

Abstract Remanufacturing is an effective measure for circular economy. In a maintenance business of mining machines, remanufactured parts are used as spare parts. In this business, forecasting demand of parts is critical for reproduction planning. This research proposes a demand forecasting model regarding the replacement as probability event. In the forecasting model, the demand is simulated using the actual data of mining machinery operation. The results show that, although there exist gaps between the simulated and the actual values, the simulation succeeded in reproducing rough trends of the demand. Solving these gaps will increase the accuracy of the demand forecast.