Relevant bibliographies by topics / Marchant Calculating Machine Company

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Marchant Calculating Machine Company'

Author: Grafiati
Published: 26 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Marchant Calculating Machine Company"

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Alda, Tania, Andika Sukma Ompusunggu, Ahmad Shalihin, Chindy Elsanna Revadi, Fadylla Ramadhani Putri Nasution, and Naomi Cevania Purba. "Analisis Pengendalian Kualitas Produk Tiang Pancang di PT. X dengan Menggunakan Metode Failure Mode and Effect Analysis (FMEA)." Jurnal Manajemen Rekayasa dan Inovasi Bisnis 2, no. 2 (2024): 61–69. http://dx.doi.org/10.62375/jmrib.v2i2.284.

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This research was conducted at a company engaged in the precast concrete industry. The company produces and distributes piling products both domestically and abroad. The quality of pile products made by the company is one of the considerations of consumers. For this reason, the company must provide the best quality by utilizing all production factors as efficiently as possible. This is done to maintain consumer confidence and reduce the number of products that must meet company standards. This research aims to find the leading cause of defects in pile products. The method used is failure mode
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Muhammad Ferry Nasichul Achab and Hery Murnawan. "Perhitungan Kelayakan Investasi Mesin Amplas Pada UD. Surya Sejati Dengan Pendekatan NPV Dan IIR." Jurnal Ilmiah Teknik Informatika dan Komunikasi 3, no. 2 (2023): 159–67. http://dx.doi.org/10.55606/juitik.v3i2.511.

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Surya Sejati is a company engaged in manufacturing backrests, seats and table bases, in the production process of table mats there are problems of wasting time in the process of refining table mats, this study aims to analyze the activities of the production process and provide suggestions in the form of a sanding machine , and the results obtained are reduced production time, and work efficiency, the feasibility of the sanding machine will be tested by calculating the depreciation, machine costs, and production capacity time on the sanding machine, in calculating the feasibility of the sandin
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Rachman, Taufiqur, Darmiolla Natasia Watunglawar, M. Derajat Amperajaya, Septian Rahmat Adnan, and Iphov Kumala Sriwana. "Penentuan Interval Waktu Penggantian dan Perbaikan Komponen Kritis Mesin Bubut Type SS-850 di PT. Hamdan Jaya Makmur Dengan Metode Age Replacement." Jurnal METRIS 23, no. 01 (2022): 52–61. http://dx.doi.org/10.25170/metris.v23i01.3547.

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PT. Hamdan Jaya Makmur is a company that runs in the field of Machining, Engineering, Fabrication, Stamping, and Trading Company, which produces products for small, medium and modern industries. Less than optimal maintenance system with corrective maintenance causes PT. Hamdan Jaya Makmur often experiences machine failure. Based on historical data, it can be seen that the lathe machine type SS-850 experienced very high downtime. Therefore, it is necessary to plan optimal and preventive maintenance of the machine in order to produce according to the target and increase the reliability of the ma
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Syarifah Alda Azlika, Kurnia Diana, Mardian Adma Gumilang, et al. "THE IMPORTANCE OF CAPITAL BUDGETING IN LONG TERM INVESTMENT DECISION MAKING." Journal of Accounting Research, Utility Finance and Digital Assets 1, no. 4 (2023): 602–6. http://dx.doi.org/10.54443/jaruda.v1i4.89.

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Lack of significant planning in investing by a company. This because in planning an investment project of course requires substantial funds, so if not budgeted and calculated properly, it can result in investment failure projects that can cause a company to experience large losses. This study discusses capital budgeting of a project in CV. ABC will buy a new machine. In the This study discussed how to calculate the initial investment, estimate the income that the company will get during the project, how long is the capital issued by the company for investment projects will be returned, and at
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Septian Effendy, Septian Effendy, Rio Rahmat Ramadhan, and Langga Pratama. "Analisis Penentuan Biaya Produksi Dengan Menggunakan Metode Full Costing Untuk Menentukan Harga Jual Pada PT Sumber Rezeki Internasional." Jurnal Ilmu Ekonomi, Manajemen dan Bisnis 2, no. 1 (2024): 34–40. http://dx.doi.org/10.30787/jiembi.v2i1.1406.

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A company that focuses on generating profits will definitely make every effort to maintain the survival of its company. One of the ways to increase profits is by raising the selling price of its products. In carrying out the production process to create a product with market value, manufacturing companies incur various costs. These costs are classified as production elements, such as raw material costs, direct labor costs, and factory overhead costs. The purpose of this study is to apply the full costing method to determine the selling price based on production costs. The analytical method use
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Danang Risky Suhadi and Kris Witono. "Analisis Perawatan Heading Machine dengan Metode Reliability Centered Maintenance (RCM)." Jurnal Teknik Mesin, Industri, Elektro dan Informatika 3, no. 3 (2024): 149–63. http://dx.doi.org/10.55606/jtmei.v3i3.4183.

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The heading machine is a critical type of machine used in the production of header tubes. If a failure occurs during the production of header tubes, the product cannot proceed to the next process and must be discarded. However, this machine frequently encounters component failures that require halting the machine for repairs, which is detrimental to the company. This research aims to enhance the machine's reliability by identifying the critical components and scheduling appropriate maintenance based on the heading machine's needs. The research method used is RCM, which includes collecting data
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Ahmadzai, Nazak, Hameedullah Mohammadi, and Naqibullah Mangal. "Data Mining Techniques in Telecommunication Company." Journal for Research in Applied Sciences and Biotechnology 2, no. 1 (2023): 96–98. http://dx.doi.org/10.55544/jrasb.2.1.12.

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Due to emerging of amalgam amount of data from variety sources, the data mining has become a hot trend in field of Computer Science. Data mining extracts useful pattern and information from huge amount of existing data with the help of machine learning algorithms that can be helpful in solving many sophisticated problems.
 Telecommunication companies also generates big amount of data from providing services to their customers, besides that telecommunication companies suffers from many problems like fraud, Customer churn and …etc.
 The generated amount of data from these companies can
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Muhazir, Achmad, Zulkani Sinaga, and Resky Dwi Septiadi. "Perencanaan Perawatan Mesin Building Dengan Metode Reliability Centered Maintenance (RCM)." Jurnal Optimalisasi 10, no. 1 (2024): 120. http://dx.doi.org/10.35308/jopt.v10i01.9263.

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PT. Bridgestone Tire Indonesia is a tire manufacturing company. Machines that work continuously and lack of stock availability of machine spare parts cause damage and increase maintenance costs. To reduce the occurrence of damage and increase maintenance costs, it is necessary to have an optimal maintenance policy so that the machine can operate well. To overcome the problems in this research using the Reliability Centered Maintenance (RCM) method, the first step is determining the critical components on the machine, preparing the FMEA table based on the function data of the components and mai
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Trimarjoko, Aris, and Ari Sulung Kurniawan Romadhon. "Markov Chain Method in Decision Implementation of Preventive Maintenance Scheduling to Reduce Equipment Downtime in PT. ADF Indonesia: Case Study." IJIEM - Indonesian Journal of Industrial Engineering and Management 5, no. 1 (2024): 183. http://dx.doi.org/10.22441/ijiem.v5i1.24820.

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PT. ADF is a company operating in the shoe manufacturing industry located in Indonesia. PT. ADF has the problem of machine downtime which is currently still relatively high and requires quite a long repair time. The aim of this research is to reduce the high downtime of equipment or machines with the Markov chain method approach used in selecting the next strategy to produce a better probability of implementing scheduled preventive maintenance (PM) compared to Corrective Maintenance (CM), so that implementing a maintenance schedule is chosen to reduce downtime. equipment/machines. This strateg
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Candrianto, Candrianto, Rizaldi Sardani, Rizki Fadhillah Lubis, and M. Zakaria. "Analisis Penyebab Kegagalan Mesin Wrapping Menggunakan Failure Mode And Effect Analysis di PT. X." INVENTORY: Industrial Vocational E-Journal On Agroindustry 2, no. 1 (2021): 33. http://dx.doi.org/10.52759/inventory.v2i1.58.

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PT. X is an industry that produces green tea and black tea. In this study, there are often problems with the wrapping machine due to the age of use and the tight schedule of usage in the wrapping machine. If the machine operates in an unstable condition, it will greatly affect the results of the production. Damaged components such as cutting blades, heating heaters, thermo control and bearings. By using the Failure Mode and Effect Analysis (FMEA) method and also calculating the Risk Priority Number (RPN) value, the highest RPN value to the lowest is obtained, namely Cutting Knife (RPN = 100),
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Dissertations / Theses on the topic "Marchant Calculating Machine Company"

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Hung-Chien, Chang, and 張宏謙. "Calculating and managing liquid material in an automated machine environment– A case study on X Company." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/292e55.

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碩士<br>中原大學<br>工業與系統工程研究所<br>106<br>In recent years, most of the electronic goods product life cycle is getting shorter and shorter, leading to an increasing demand in wafer related products. To avoid shortages or delayed shipments of the parts, a smooth supply chain material inventory management becomes critical. In order to be competitive, it is indispensable for companies to manage and control their materials efficiently. In the wafer industry, in order to reduce waste, the management of high cost liquid material is critical. Enterprises often rely on the sensors of the automated machine to
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Book chapters on the topic "Marchant Calculating Machine Company"

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Ainatzoglou, Konstantina K., Georgios K. Tairidis, Georgios E. Stavroulakis, and Constantin K. Zopounidis. "Application of Adaptive Neurofuzzy Control in the Field of Credit Insurance." In Machine Learning Applications for Accounting Disclosure and Fraud Detection. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4805-9.ch014.

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Credit insurance is of vital importance for the trade sector and almost every related business. Moreover, every policy in credit insurance is tailor-made in order to suit in the best available way the unique needs and demands of the insured business. Thus, pricing of such service can be tricky for an insurance company. In the present chapter, this pricing problem in the field of credit insurance will be addressed through the use of intelligent control mechanisms. More specifically, a way of calculating the price of insurance policies that has to be paid by a prospective client of an insurance
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Conference papers on the topic "Marchant Calculating Machine Company"

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Biesinger, Thomas, Maximilian Kölzer, Alexander Schukmann, et al. "Application of the Harmonic Balance Method for Large Spread Multiple Frequency Scales." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-79393.

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Abstract This paper presents the application of the harmonic balance method to periodic turbomachinery flow problems containing multiple fundamental frequencies. It is well known that the solution convergence of a transient turbomachinery flow using classical integration methods is computationally intensive and requires the integration for multiple periods to achieve a converged periodic solution. The computational effort is even higher when multiple fundamental frequencies (vastly different time scales) are modeled since the time stepping required is limited by the higher frequency in the flo
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Siahaan, Edwin, Irwan Mamat, Senna Sun Laksana, et al. "Well Portfolio Optimisation: Accelerating Generation of Well Intervention Candidates with Automated Analytics and Machine Learning - A Case Study from Attaka Field, Indonesia." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210614-ms.

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Abstract Advancements in technology, complemented with the abundance of static and historical data brought AI and digital automation adapted very well into the oil and gas industry. Specially to solve the challenges by the engineers in selecting well intervention candidates. In Attaka Field, a multi-layered offshore field in Indonesia, workover and well service (WOWS) have been one of the strategies to reduce production decline. With traditional workflows that absorb data from multiple unconsolidated sources and data format and resource limitation, reviewing 400+ wells that penetrates more tha
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Yakoot, Mostafa Sa'eed, Adel Mohamed Salem Ragab, and Omar Mahmoud. "Multi-Class Taxonomy of Well Integrity Anomalies Applying Inductive Learning Algorithms: Analytical Approach for Artificial-Lift Wells." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206129-ms.

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Abstract Well integrity has become a crucial field with increased focus and being published intensively in industry researches. It is important to maintain the integrity of the individual well to ensure that wells operate as expected for their designated life (or higher) with all risks kept as low as reasonably practicable, or as specified. Machine learning (ML) and artificial intelligence (AI) models are used intensively in oil and gas industry nowadays. ML concept is based on powerful algorithms and robust database. Developing an efficient classification model for well integrity (WI) anomali
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Chatar, Crispin, Suhas Suresha, Laetitia Shao, Soumya Gupta, and Indranil Roychoudhury. "Determining Rig State from Computer Vision Analytics." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204086-ms.

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Abstract For years, many companies involved with drilling have searched for the ideal method to calculate the state of a drilling rig. While companies cannot agree on a standard definition of "rig state," they can agree that as we move forward in drilling optimization and with further use of remote operations and automation, that rig state calculation is mandatory in one form or the other. Internally in the service company, many methods exist for calculating rig state, but one new technology area holds promise to deliver a more efficient and cost-effective option with higher accuracy. This tec
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Hajjeyah, Abrar, Alaa Al-Saleh, Shaikha Al-Qahtan, et al. "Enhancing Production Efficiency: AI-Powered Hydrate Detection and Prevention in North Kuwait Jurassic Gas Field." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222206-ms.

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Abstract The Kuwait Oil Company (KOC) and SLB's joint Kuwait Integrated Digital Field (KwIDF) Project for the North Kuwait Jurassic Gas (NKJG) asset is a key initiative in Kuwait's gas production, aiming to boost operational efficiency and productivity via a fully integrated platform. This platform streamlines planning and execution with advanced workflows and automation, connecting multiple disciplines and stakeholders. This integration plays a pivotal role in achieving KOC's ambitious goal of reaching a production capacity of 950 MMSCFD by 2026. The quest to meet production targets demands t
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