Relevant bibliographies by topics / Productivity machine

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Productivity machine'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Productivity machine"

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Qizi, Yunusova Nilufar Maxmudjon. "Productivity of Machine Translation." International Journal of Teaching, Learning and Education 2, no. 1 (2023): 01–02. http://dx.doi.org/10.22161/ijtle.2.1.1.

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This article is about the field of technical translation which is called machine translation (MT), or machine-assisted translation. This method of translation uses various types of computer software to generate translations from a source language to a target language without the assistance of a human. There are different methods of machine translation. A plethora of machine translators in the form of free search engines are available online. However, within the field of technical communication, there are two basic types of machine translators, which are able to translate massive amounts of text at a time. There are transfer-based and data-driven machine translators. Transfer-based machine translation systems, which are quite costly to develop, are built by linguists who determine the grammar rules for the source and target languages. The machine works within the rules and guidelines developed by the linguist. Due to the nature of developing rules for the system, this can be very time-consuming and requires an extensive knowledge base about the structures of the languages on the part of the linguist; nonetheless, the majority of commercial machine translators are transfer-based machines. .
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Parkin, R., and F. Cutri. "Improving Machine Productivity." Integrated Manufacturing Systems 4, no. 3 (1993): 32–36. http://dx.doi.org/10.1108/09576069310042972.

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Sauk, Hüseyin, and Mehmet Arif Beyhan. "Comparison of Performance Characteristics of Different Types of Hazelnut Harvesting Machines." Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi 10, no. 2 (2024): 216–24. http://dx.doi.org/10.24180/ijaws.1421481.

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In this study, the possibilities of using the hazelnut harvesting machine with pneumatic effective harvesting unit produced by local manufacturers and the prototype manufactured hazelnut harvesting machine with mechanical effective harvesting unit in the mechanical harvesting of hazelnuts grown in flat and near flat land conditions were examined, some performance values (harvesting efficiency, labor requirement, machine+human labor requirement, field productivity, machine+human field productivity and kernel productivity) of hazelnut harvesting machines with mechanically operated harvesting units were determined under different orchard yield conditions. According to the results of the experiment, the hazelnut harvesting machine with a mechanical effective harvesting unit had a harvesting efficiency of 92.54-96.03% and; a labor requirement of 6.349-9.839 MİGh ha-1; machine+human labor requirement of 46.228-62.531 BİİGh ha-1; field productivity 0.158-0.102 ha MİGh-1; machine+human field productivity: 0.022-0.016 ha BİİGh-1; kernel productivity: 124.83-1322.08 kg h-1. The hazelnut harvesting machine with a pneumatic effective harvesting unit has a harvesting efficiency of 97.68-99.36%; labor requirement 70.349-105.647 BİİGh ha-1; machine+human labor requirement 108.509-147.481 BİİGh ha-1; field productivity 0.014-0.009 ha MİGh-1; machine+human field productivity 0.009-0.007 ha BİİGh-1; kernel productivity 18.90-67.18 kg h-1. As a result, when the characteristics of harvesting efficiency, field productivity, and kernel productivity of the machines are compared, the mass production of hazelnut harvesting machines with mechanically effective harvesting units can provide benefits for hazelnut producers in terms of reducing harvesting costs and demand for labor.
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A. M. Ahmed Alwaise and Omer Haitham Kanam. "Study of Availability and Productivity of Automated Lines." International Journal for Research in Applied Sciences and Biotechnology 8, no. 1 (2021): 144–53. http://dx.doi.org/10.31033/ijrasb.8.1.17.

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In area of manufacturing, the indices of each manufacturing machine are the productivity and goodness of products. The theory of reliability is closely related to Indices of productivity, the both theories the efficiency of machines, and optimizations one. The reliability of machines has been guessed by standard indices of the theory of reliability. The main index of reliability of every manufacturing machine is its availability. However, indicated the reliability of industrial machines with complicate design have not expressed in equations of the productivity. These indices of accuracy should be a component of equations of a productivity of a machine and reflects changes of a productivity rate one on changes of indices of reliability and mechanical parameters of a machine. The availability has been included the equations of the machines productivity rate, therefore the reliability of machines is the integrated indication. The machines reliability with complicate design such as automated lines relies also on construction and technical data. The output modelling has been reported the output result with availability for the automated lines, defining their structures according to the grade of reliability and productivity as a task of technical motif of manufacturing machines with complex designs.
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Yash, R. Ravande, N.Patil Vaibhav, D. Bedge Sachin, P. Dadibude Prathmesh, and J. Awati Kautuk. "Development of Multi Spindle Drilling Machine to Enhance the Productivity in Sonica Industries, Kagal." Journal of Recent Trends in Mechanics 5, no. 1 (2020): 1–5. https://doi.org/10.5281/zenodo.3739101.

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The productivity and quality gives larger growth to Indian manufacturing sector at larger rate. The productivity of sector depends upon many factors. One of the major factors is efficiency of manufacturing where the operation and other activities are carried out in the organization. Reducing the total machining time, combining the different operations gives better productivity. In the organizations where mass production is carried out in which variety of jobs are less and quantity to be produced is huge it is essential to produce the jobs at faster rates. There is necessary to use special purpose machine rather than general purpose machine. Improving productivity with quality is done by use of special purpose machine. The designing of multi spindle head attachment gives better performance and usefulness to existing drilling machines. This paper deals with development and design of drilling head for cycle time optimization of product. The report gives study of comparison between conventional drilling machines and special purpose drilling machines in terms of time, number of jobs produced and number of operators required.
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Raval, Shreeom, Harshil Raval, Darshit Seta, and Rathour Anilkumar. "DESIGN AND DEVELOPMENT OF MULTI SPINDLE DRILLING MACHINE." International Journal of Innovative Research in Advanced Engineering VII, no. VI (2020): 299–304. https://doi.org/10.26562/ijirae.2020.v0706.003.

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This paper discusses the case study and comparison with productivity of component using traditional drilling machine to Multi spindle drilling machine. The growth of Indian manufacturing sector depends upon many factors, one of the major factors being manufacturing efficiency with which the operation /activities are carried out in the organization. Productivity can be improved by reducing the total machining time, combining the operations, etc. There are frequent needs of tightening and loosening screws, drilling, tapping, boring and grinding operational machines. Huge and complicated designed parts cannot be machined in ordinary machines. In a single machine all the above specified operations can be carried out after drilling operation by removing of drill head and using the required tools like grinding, tapping can etc. By this we can achieve our industrial requirements and production targets. Here we are going to develop a single multi spindle drilling machine which can useful for drilling multiholes and tapping operations in single setup of work piece.
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Bhatia, Anmol, Deepa Manani, Anubhav Grover, and Jatin Kumar. "Design of Multi Spindle Drilling Machine." International Journal of Advance Research and Innovation 4, no. 2 (2016): 114–18. http://dx.doi.org/10.51976/ijari.421618.

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In today’s world, the growth of Indian manufacturing sector is highly dependent on how productivity and quality. Productivity can be increased by improving the efficiency of the operations carried out in the organization. This can be done by reducing the machining time, combining the operations etc. Thus special purpose machines needs to be used and one such machine is multi spindle drilling machine which performs multiple drilling operations more accurately and conveniently. This paper presents the design and development of a multi spindle drilling machine which would have a higher productivity as compared to conventional drilling machines. The proper sequence wise design analysis of the components of multi spindle machine is discussed.
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Rasyid, Mohammad Andi, and Tedjo Sukmono. "Total Productive Maintenance Analysis to Increase Machine Productivity." Procedia of Engineering and Life Science 7 (March 17, 2024): 571–80. http://dx.doi.org/10.21070/pels.v7i0.1530.

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The food manufacturing industry, especially dry and instant noodles, continues to grow rapidly, especially export market opportunities. Companies are required to increase productivity to meet domestic and international market demand. The role of machine performance is very vital in the production process, therefore the machine must always be in optimal condition. The high downtime caused by frequent breakdowns of production machines has a big impact on the productivity that the company wants to achieve. This activity aims to measure the effectiveness of the machines used at PT. Surya Pratista Hutama and measuring the efficiency of production machines and equipment. Each company can find out the performance of the machines used by calculating the level of equipment performance using the Total Productive Maintenance (TPM) method. The method used to measure TPM performance is the Overall Equipment Effectiveness (OEE) method. The use of this method is intended to provide equipment performance results as well as accurate calculations to determine the performance of the machine used. The results of this activity show that the Overall Equipment Effectiveness (OEE) value still has an effectiveness level below standard. The main factors that influence low OEE values are reduced speed losses, idling minor stopage losses, defects in process and breakdown losses. Therefore, preventive maintenance measures are needed to minimize the occurrence of machine damage.
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 Rapid growth in the food manufacturing industry demands increased productivity.
 Machine performance is crucial for maintaining optimal production processes.
 Total Productive Maintenance (TPM) and Overall Equipment Effectiveness (OEE) methods help measure and improve machine efficiency.
 
 Keywords: Maintenance, Total Productive Maintenance, Overall Equipment Effectiveness, Six Big Losses.
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Nurlaila, Qomarotun. "Peningkatan Produktivitas Pada Lini Perakitan Stopper Crash Stop Dengan Otomatisasi Mesin Produksi." SIGMA TEKNIKA 5, no. 1 (2022): 158–66. http://dx.doi.org/10.33373/sigmateknika.v5i1.4123.

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PT. ABC is a Japanese PMA that produces HDD (Hard Disk Drive) components, where the assembly process still uses a partial automatic machine whose productivity still depends on the performance of the operator to do manual work. This research aims to increase the productivity of HDD products on the assembly line. The research design used is a combination of exploratory and descriptive methods. Its research approach uses quantitative data. The variable of this study is productivity, the type of data used is primary data and secondary data. The method to increase productivity on the Crash Stop assembly line is to eliminate manual work and change the assembly machine (assemble rubber and stainless components) from partially automatic to fully automatic. The result after replacing the assembly machine from partially automatic to fully automatic was that productivity increased by 2.5 times compared to the previous one which was an increase of 4,707 pieces / person / hour (from 1,913 to 6,620 pieces / person / hour). From the research that has been done, it can be concluded that productivity on the assembly line increases after the replacement of the machine from a partially automated machine to a fully automatic machine. In the future, it is expected that automatic machines can be applied to other production machines.
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Rahmasari, Venny, and Andung Jati Nugroho. "Analisis Produktivitas Flange Menggunakan Metode Objective Matrix (OMAX) dan Fault Tree Analysis (FTA)." ULIL ALBAB : Jurnal Ilmiah Multidisiplin 3, no. 4 (2024): 18–27. https://doi.org/10.56799/jim.v3i4.3076.

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PT Mitra Rekatama Mandiri is a metal casting company that produces flange (sand pump machine axis cover). Based on company data for 2023, flange production results experienced ups and downs with a total production output of 303,946 kg. The aim of the research’ is to determined the level of productivity, analyze the factors that influence the level of productivity and provide suggestions for improvement. The methods used are (OMAX) and (FTA). The results of productivity measurements show that production is unstable with an increase in extreme productivity levels in August 2023 of 690 and October 2023 of 711 as well as a decrease in extreme productivity levels in June 2023 of -27, September 2023 of -27 and November 2023 of -15. Factors that influence productivity levels are unscheduled machine maintenance, old machine components, machine capacity exceeding 500 kg, erosion of furnace linings, dirty machines, melting temperatures exceeding 1,200°C, hot environmental conditions and poor lighting. Proposed improvements include making a machine maintenance schedule, replacing machine components, checking the machine capacity does not exceed 500 kg, replacing the furnace lining material, cleaning the machine, checking the melting temperature, making ventilation and adding lighting.
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Dissertations / Theses on the topic "Productivity machine"

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Zhai, Jian. "Modeling Firms’ Productivity and Borrowers’ Default Risk." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25393.

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In the thesis, we study improvements in the precision of inefficiency estimation by considering the dependence information among the error terms in models of production. We propose that the production systems that account for technical and allocative inefficiencies offer a natural way to model dependence using vine copulas. We construct such vine copulas using a recently proposed family of bivariate copulas (APS-2 copula) that permit dependence between the magnitude (but not the sign) of the allocative inefficiency and the magnitude of the technical inefficiency, and a Gaussian copula. We show how to estimate such models and argue that they better reflect dependencies that arise in practice. Following that we study around 200 features of personal loan customers, and apply machine learning models to see how these characteristics can help with risk measurement. The cost for different misclassification errors are different for personal loan providers. Furthermore, the misclassification costs for each example are different. Therefore, we propose an example-dependent cost-sensitive gradient boosting model and apply the method to a personal loan dataset.
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Crespo, Cuaresma Jesus, Harald Oberhofer, and Gallina A. Vincelette. "Firm growth and productivity in Belarus: New empirical evidence from the machine building industry." Elsevier, 2014. http://epub.wu.ac.at/4023/1/cuaresma.pdf.

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Using a unique dataset comprising information for (up to) 153 firms in the machine building sector in Belarus, we investigate the determinants of firm growth for an economy where state ownership of enterprises is widespread. We use panel data models based on generalizations of Gibrat's law, total factor productivity estimates and matching methods to assess the differences in firm growth between private and state-contolled firms. Our results indicate that labor hoarding and soft budget constraints play a particularly important role in explaining differences in performance between these two groups of firms.
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Guerberof, Arenas Ana. "Productivity and quality in the post-editing of outputs from translation memories and machine translation." Doctoral thesis, Universitat Rovira i Virgili, 2012. http://hdl.handle.net/10803/90247.

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This study presents empirical research on no-match, machine-translated and translation-memory segments, analyzed in terms of translators’ productivity, final quality and prior professional experience. The findings suggest that translators have higher productivity and quality when using machine-translated output than when translating on their own, and that the productivity and quality gained with machine translation are not significantly different from the values obtained when processing fuzzy matches from a translation memory in the 85-94 percent range. The translators’ prior experience impacts on the quality they deliver but not on their productivity. These quantitative findings are triangulatedwith qualitative data from an online questionnaire and from one-to-one debriefings with the translators. Este estudio presenta una investigación empírica sobre la traducción de segmentos nuevos y aquellos procesados con traducción automática y memorias de traducción analizados en relación a la productividad, calidad final y experiencia profesional de un grupo de traductores. Los resultados sugieren que los traductores obtienen una productividad y calidad más altas cuando procesan segmentos de traducción automática que cuando traducen sin ninguna ayuda y que dicha productividad y calidad no son significativamente diferentes a la que se obtiene cuando procesan coincidencias parciales de una memoria de traducción (del 85 al 94 por ciento). La experiencia profesional previa de los traductores influye en la calidad pero no así en la productividad obtenidas. Los resultados cuantitativos se triangulan, además, con datos cualitativos obtenidos a través de un cuestionario en línea y de entrevistas individuales realizadas a los trad
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Fazenbaker, Canon. "EXPLORING IMPACT OF EDUCATIONAL AND ECONOMIC FACTORS ON NATIONAL INTELLECTUAL PRODUCTIVITY USING MACHINE LEARNING METHODS." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/642.

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The patent process is representative of a nationwide means for innovations and new ideas to be recognized. The U.S. Patents Office, since its inception in 1790, has issued nearly five million patents. These patents span from the U.S. Patent #1, which was for an improvement "in the making of Pot ash and Pearl ash by a new Apparatus and Process" to today's patents which deal with technologies and mediums that were unimaginable at the Patent Offices' inception. The purpose of this study is to determine what social and economic factors at the federal level have the highest impact on national productivity measured by the number of patents applied for and/or granted each year. Using Machine Learning algorithms and predictive analysis on fifty years worth of data to determine what macroeconomic and educational factors have the most impact on patents. The first part of this study describes the methods and algorithms used during this research. The second part of this study discusses the results and what those results reveal about the impact of education and economic factors as they relate to national creativity / intellectual productivity. The goal of this study is to determine what factors affect national intellectual productivity in a given year. This data will be useful for governments, both local and federal, when faced with educational and economic issues.
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Lavigne, Pierre-Étienne. "L’utilisation de la traduction automatique en contexte professionnel : étude de cas concernant les perceptions de la traduction automatique ainsi que son utilisation en contexte professionnel." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36592.

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Résumé : La demande croissante du marché de la traduction n'est pas aisée à combler, ce qui pousse un certain nombre de traducteurs et de fournisseurs de services de traduction à chercher des outils d'aide à la traduction pouvant complémenter ou remplacer ceux liés aux mémoires de traduction (MT) (Lewis 1997 : 256; O'Brien 2002 : 99, 105-106; Saint-André 2015 : 1-8). Certains se sont tournés vers la traduction automatique (TA), qui paraît permettre certains gains de productivité lorsqu'elle est utilisée en combinaison avec un outil de MT (Guerberof 2009; Lewis 1997 : 256; O'Brien 2002 : 99, 105-106). Toutefois, la question de l’utilisation de la TA par des traducteurs en contexte organisationnel réel semble avoir été peu étudiée. La présente étude, menée en collaboration avec l’équipe de traduction des Instituts de recherche en santé du Canada (IRSC), a visé à évaluer si la combinaison d’outils de MT avec des outils de TA peut véritablement rehausser la productivité des traducteurs dans ce type de contexte. Pour ce faire, une analyse des perceptions des traducteurs en rapport aux outils de MT et de TA et une expérience dans le cadre de laquelle des textes ont été traduits à l’aide d’une MT seule ou à l’aide d’une MT et d’un système de TA ont été effectuées. Les données des deux volets de la recherche ont ensuite été analysées pour évaluer les perceptions des participants en rapport aux outils de MT et de TA, déterminer si l’utilisation d’outils de MT et de TA permettait d’atteindre des seuils de productivité plus élevés que l’utilisation d’outils de MT seuls, et vérifier si les perceptions des participants en rapport aux outils utilisés avaient influencé les seuils de productivité atteints. L’étude contribue ainsi à approfondir les connaissances en rapport à l’utilité de la TA en contexte organisationnel réel et en rapport aux perceptions des traducteurs quant aux outils d’aide à la traduction que constituent les MT et la TA.
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Pehrson, Jakob, and Sara Lindstrand. "Support Unit Classification through Supervised Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281537.

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The purpose of this article is to evaluate the impact a supervised machine learning classification model can have on the process of internal customer support within a large digitized company. Chatbots are becoming a frequently used utility among digital services, though the true general impact is not always clear. The research is separated into the following two questions: (1) Which supervised machine learning algorithm of naïve Bayes, logistic regression, and neural networks can best predict the correct support a user needs and with what accuracy? And (2) What is the effect on the productivity and customer satisfaction of using machine learning to sort customer needs? The data was collected from the internal server database of a large digital company and was then trained on and tested with the three classification algorithms. Furthermore, a survey was collected with questions focused on understanding how the current system affects the involved employees. A first finding indicates that neural networks is the best suited model for the classification task. Though, when the scope and complexity was limited, naïve Bayes and logistic regression performed sufficiently. A second finding of the study is that the classification model potentially improves productivity given that the baseline is met. However, a difficulty exists in drawing conclusions on the exact effects on customer satisfaction since there are many aspects to take into account. Nevertheless, there is a good potential to achieve a positive net effect.<br>Syftet med artikeln är att utvärdera den påverkan som en klassificeringsmodell kan ha på den interna processen av kundtjänst inom ett stort digitaliserat företag. Chatbotar används allt mer frekvent bland digitala tjänster, även om den generella effekten inte alltid är tydlig. Studien är uppdelad i följande två frågeställningar: (1) Vilken klassificeringsalgoritm bland naive Bayes, logistisk regression, och neurala nätverk kan bäst förutspå den korrekta hjälpen en användare är i behov av och med vilken noggrannhet? Och (2) Vad är effekten på produktivitet och kundnöjdhet för användandet av maskininlärning för sortering av kundbehov? Data samlades från ett stort, digitalt företags interna databas och används sedan i träning och testning med de tre klassificeringsalgoritmerna. Vidare, en enkät skickades ut med fokus på att förstå hur det nuvarande systemet påverkar de berörda arbetarna. Ett första fynd indikerar att neurala nätverk är den mest lämpade modellen för klassificeringen. Däremot, när omfånget och komplexiteten var begränsat presenterade även naive Bayes och logistisk regression tillräckligt. Ett andra fynd av studien är att klassificeringen potentiellt förbättrar produktiviteten givet att baslinjen är mött. Däremot existerar en svårighet i att dra slutsatser om den exakta effekten på kundnöjdhet eftersom det finns många olika aspekter att ta hänsyn till. Likväl finns en god potential i att uppnå en positiv nettoeffekt.
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Martin, Johansson, and Göthager Mikael. "Which Management Control System principles and aspects are relevant when deploying a learning machine?" Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15373.

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How shall a business adapt its management control systems when learning machines enter the arena? Will the control system continue to focus on humans aspects and continue to consider a learning machine to be an automation tool as any other historically programmed computer? Learning machines introduces productivity capabilities that achieve very high levels of efficiency and quality. A learning machine can sort through large amounts of data and make conclusions difficult by a human mind. However, as learning machines become even more complex systems, they introduce an uncertainty not previously considered by automation tools. The algorithms can make their own associations, and the automation engineer will no longer know exactly how a learning machine produces its outcome. What is the motive for a learning machine’s decision? A learning machine in this context becomes more human-like compared to the older generation of automation computers. This thesis concludes that most contemporary Management Control System principles are relevant when deploying machine learning, but some are not. A Management Control System must in contradiction to a historically programmed computer, consider multiple human-like aspects while controlling a deployed learning machine. These conclusions are based on empirical data from web-articles, TED-talks, literature and questionnaires directed to contemporary companies using machine learning within their organizations.
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Nordström, Frida. "Using Neural Networks to Predict Cell Specific Productivity in Bioreactors." Thesis, Umeå universitet, Institutionen för fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-180962.

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During production of certain biopharamaceutical drugs, cells are grown in a liquid mediainside bioreactors with the goal of producing a specic biomaterial that can be rened intoa drug. This project investigates whether the use of Neural Networks (NN) can decreasethe prediction error, in terms of Mean Squared Error (MSE), for 2 metabolic processes incells compared to current methods. The rst experiment tests predictions of cell-SpecicConsumption Rate (SCR) of 5 dierent metabolites and the second experiment testspredictions of cell-Specic Production Rate (SPR) of titer. Fully connected feed-forwardneural networks were trained and cross-validation was used to obtain MSE betweenpredictions and measured values. The SCR predictions made by the NN was better thanthe original model predictions for all 5 metabolites. The predictions of SPR from the NNcannot with certainty be said to be better than the original model, with a p-value of 0.13.These results indicate that using NNs when modeling cell metabolism in bioreactors candecrease its prediction error, leading to better control of the bioreactor environment andmore ecient production.
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Cavez, Vincent. "Designing Pen-based Interactions for Productivity and Creativity." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG013.

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Conçus pour une utilisation avec la souris et le clavier, les outils aidant à la productivité et à la créativité sont puissants sur les ordinateurs de bureau, mais leur structure devient un obstacle lorsqu'ils sont transposés sur des surfaces interactives offrant une saisie tactile et au stylet.En effet, les opportunités offertes par le stylet en termes de précision et d'expressivité ont été démontrées dans la littérature sur en IHM. Cependant, les outils de productivité et de créativité nécessitent une refonte minutieuse exploitant ces propriétés uniques pour tirer parti de l'intuitivité qu'ils offrent, tout en conservant les avantages liés à la structure. Cette articulation délicate entre le stylet et la structure a été négligée dans la littérature.Mon travail de thèse se concentre sur cette articulation à travers deux cas d'utilisation afin de répondre à la question de recherche générale : « Comment concevoir des interactions basées sur le stylet pour la productivité et la créativité sur des surfaces interactives ? » Je considère que la productivité dépend de l'efficacité, tandis que la créativité repose à la fois sur l'efficacité et la flexibilité, et j'explore des interactions qui favorisent ces deux dimensions.Mon premier projet, TableInk, explore un ensemble de techniques d'interaction basées sur le stylet et conçues pour les logiciels de tableurs, et propose des lignes directrices pour promouvoir l'efficacité sur les surfaces interactives. Je commence par analyser les logiciels commerciaux et par mener une étude d'élicitation pour comprendre ce que les utilisateurs peuvent faire et ce qu'ils aimeraient faire avec les tableurs sur des surfaces interactives. Sur la base de ces analyses, je conçois des techniques d'interaction qui exploitent les opportunités offertes par le stylet pour réduire les frictions et permettre plus d'opérations par manipulation directe sur et à travers la grille. Je prototype ces techniques d'interaction et mène une étude qualitative auprès d'utilisateurs qui effectuent diverses opérations sur tableurs avec leurs propres données. Les observations montrent que l'utilisation du stylet pour contourner la structure constitue un moyen prometteur de favoriser l'efficacité dans un outil de productivité.Mon deuxième projet, EuterPen, explore un ensemble de techniques d'interaction basées sur le stylet, et conçues pour les logiciels de notation musicale, et propose des lignes directrices pour promouvoir à la fois l'efficacité et la flexibilité sur les surfaces interactives. Je commence par une série de neuf entretiens avec des compositeurs professionnels afin de prendre du recul et de comprendre à la fois leur processus de réflexion et leur processus de travail avec leurs outils actuels sur ordinateur de bureau. Sur la base de cette analyse double, j'élabore des lignes directrices pour la conception de fonctionnalités ayant le potentiel de promouvoir à la fois l'efficacité pour les opérations fréquentes ou complexes et la flexibilité dans l'exploration des idées. Ensuite, je mets en œuvre ces lignes directrices à travers un processus de conception itératif : deux phases de prototypage, un atelier de conception participative et une série finale d'entretiens avec huit compositeurs professionnels. Les observations montrent qu'en plus d'utiliser le stylet pour profiter de la structure afin de favoriser l'efficacité, tirer parti de ses propriétés pour briser temporairement la structure constitue un moyen prometteur de promouvoir la flexibilité dans un outil de soutien à la créativité.Je conclus ce manuscrit en discutant de différentes manières d'interagir avec la structure, en présentant un ensemble de recommandations pour soutenir la conception d'interactions basées sur le stylet pour les outils de productivité et de créativité, et en élaborant sur les applications futures que cette thèse ouvre<br>Designed with the mouse and keyboard in mind, productivity tools and creativity support tools are powerful on desktop computers, but their structure becomes an obstacle when brought to interactive surfaces supporting pen and touch input.Indeed, the opportunities provided by the pen for precision and expressivity have been demonstrated in the HCI literature, but productivity and creativity tools require a careful redesign leveraging these unique affordances to take benefit from the intuitiveness they offer while keeping the advantages of structure. This delicate articulation between pen and structure has been overlooked in the literature.My thesis work focuses on this articulation with two use cases to answer the broad research question: “How to design pen-based interactions for productivity and creativity on interactive surfaces?” I argue that productivity depends on efficiency while creativity depends on both efficiency and flexibility, and explore interactions that promote these two dimensions.My first project, TableInk, explores a set of pen-based interaction techniques designed for spreadsheet programs and contributes guidelines to promote efficiency on interactive surfaces. I first conduct an analysis of commercial spreadsheet programs and an elicitation study to understand what users can do and what they would like to do with spreadsheets on interactive surfaces. Informed by these, I design interaction techniques that leverage the opportunities of the pen to mitigate friction and enable more operations by direct manipulation on and through the grid. I prototype these interaction techniques and conduct a qualitative study with information workers who performed a variety of spreadsheet operations on their own data. The observations show that using the pen to bypass the structure is a promising mean to promote efficiency with a productivity tool.My second project, EuterPen, explores a set of pen-based interaction techniques designed for music notation programs and contributes guidelines to promote both efficiency and flexibility on interactive surfaces. I first conduct a series of nine interviews with professional composers in order to take a step back and understand both their thought process and their work process with their current desktop tools. Building on this dual analysis, I derive guidelines for the design of features which have the potential to promote both efficiency with frequent or complex operations and flexibility in regard to the exploration of ideas. Then, I act on these guidelines by engaging in an iterative design process for interaction techniques that leverage the opportunities of the pen: two prototyping phases, a participatory design workshop, and a final series of interviews with eight professional composers. The observations show that on top of using the pen to leverage the structure for efficiency, using its properties to temporarily break the structure is a promising mean to promote flexibility with a creativity support tool.I conclude this manuscript by discussing several ways to interact with structure, presenting a set of guidelines to support the design of pen-based interactions for productivity and creativity tools, and elaborating on the future applications this thesis opens
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Rehn, Viktor, and Jonas Koskinen. "The effect of feedback on employee efficiency : A field study investigating if feedback can increase machine operators’ motivation and productivity." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16959.

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This field study examined whether the effects of loss aversion exists at a manufacturing plant while providing machine operators feedback about their performance. It also investigates if nudging in form of feedback can affect the machine operator’s levels of performance and motivation. The field study consisted of a field observation and a motivational survey.  During the field observation, the machine operators were subject to feedback framed as either a win or a loss. It showed that feedback contributed to an increased performance level among all machine operators receiving feedback. However, the machine operators subjected to feedback framed as a loss outperformed the machine operators subjected to feedback framed as a win. It supports the assumption that the effects of loss aversion exist within the manufacturing industry.  A survey was handed out to the machine operators before and during the field observation measuring the hygiene and motivational factors according to Herzberg's two-factor theory. The result showed that the machine operators' overall motivation level increased, especially concerning the motivational factors. However, the increase in motivation was not statistically significant, and therefore a conclusion regarding that feedback contributes to an increased motivation level can not be done.  This method can easily be adapted and used by other manufacturing firms.<br>I denna fältstudie undersöks om effekter av förlustaversion finns på en tillverkningsanläggning när maskinoperatörerna ges återkoppling angående dess prestanda. Det undersöks också ifall nudging i form av återkoppling kan påverka maskinoperatörernas prestations- och motivationsnivå. Fältstudien bestod av en fältobservation och en motivationsundersökning.  Under fältobservationen var maskinoperatörerna utsatta för återkoppling inramad som antingen en vinst eller en förlust. Resultatet visade på att återkoppling bidrog till en ökad prestationsnivå bland maskinoperatörerna som fick återkoppling. Resultatet påvisade dessutom att de maskinoperatörer som fick sin återkoppling inramad som en förlust presterade bättre gentemot de maskinoperatörer som fick sin återkoppling inramad som en vinst. Därav stöder resultatet antagandet om att det förekommer effekter av förlustaversion inom tillverkningsindustrin.  En enkätundersökning som mäter hygien- och motivationsfaktorer enligt Herzbergs tvåfaktorsteori har genomförts bland maskinoperatörerna före och under fältobservationen. Resultatet påvisar att maskinoperatörernas generella motivationsnivå har ökat, speciellt de faktorer som berör motivationsfaktorerna. Den motivationsökning som har skett är dock inte statistiskt signifikant vilket innebär att det inte går att dra en slutsats om att återkoppling bidrar till en ökad motivationsnivå.  Denna metod kan lätt anpassas och användas till andra produktionsföretag.
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Books on the topic "Productivity machine"

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1927-, Zeidner Joseph, ed. Human productivity enhancement. Praeger, 1986.

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Matuszak, Andrzej. Überwachung und Prognostizierung des Trendverlaufes der Werkstückqualität in den automatisierten technologischen Systemen. Poznańskiego Towarzystwa Przyjaciół Nauk, 1994.

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IFIP TC 9/WG 9.1 Working Conference on System Design for Human Development and Productivity, Participation and Beyond (1986 Berlin, Germany). System design for human development and productivity: Participation and beyond : proceedings of the IFIP TC9/WG9.1 Working Conference on System Design for Human Development and Productivity, Participation and Beyond, Berlin, GDR, 12-15 May, 1986. North-Holland, 1987.

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W, Cooper Russell. The aggregate implications of machine replacement: Theory and evidence. National Bureau of Economic Research, 1990.

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Beaudreau, Bernard C. The Economics of Speed: Machine Speed as the Key Factor in Productivity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26713-1.

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W, Cooper Russell. Machine replacement and the business cycle: Lumps and bumps. National Bureau of Economic Research, 1995.

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Luksha, P. O. Samovosproizvodstvo v ėvoli︠u︡t︠s︡ionnoĭ ėkonomike. Aleteĭi︠a︡, 2009.

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IFIP TC 9/WG 9.1 Working Conference on System Design for Human Development and Productivity: Participation and Beyond (1986 Berlin, Germany). System design for human development and productivity: Participation and beyond : proceedings of the IFIP TC9/WG 9.1 Working Conference on "System Design for Human Development and Productivity--Participation and Beyond", Berlin, GDR, 12-15, May, 1986. Edited by Fuchs-Kittowski Klaus, Gertenbach D, and IFIP TC9/WG 9. 1. Akademie der Wissenschaften der DDR, 1987.

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IFIP TC 9/WG 9.1 Working Conference on System Design for Human Development and Productivity: Participation and Beyond (1986 Berlin, Germany). System design for human development and productivity: Participation and beyond : proceedings of the IFIP TC 9/WG 9.1 Working Conference on System Design for Human Development and Productivity--Participation and Beyond, Berlin, GDR, 12-15 May, 1986. North-Holland, 1987.

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Konevskikh, P. M. Ėffektivnostʹ territorialʹnoĭ kont︠s︡entrat︠s︡ii i spet︠s︡ializat︠s︡ii promyshlennogo proizvodstva. "Ėkonomika,", 1986.

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Book chapters on the topic "Productivity machine"

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Watson, Gerald J. "Productivity, Efficiency, and Machine Downtime." In Principled Productivity. Productivity Press, 2023. http://dx.doi.org/10.4324/9781003302308-3.

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Klinger, Allen. "Mnemonic Assistance and User Productivity." In Human-Machine Interactive Systems. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5883-1_5.

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Gropp, William D. "MPI and High Productivity Programming." In Recent Advances in Parallel Virtual Machine and Message Passing Interface. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30218-6_4.

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Mamyrbayev, Orken, Assel Aitkazina, Dina Oralbekova, Salauat Daulbayev, and Nurdaulet Zhumazhan. "Infrared Laser Irradiation for Pre-sowing Seed Treatment: Advancing Germination and Crop Productivity." In Mechanisms and Machine Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67569-0_49.

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Mamatha, G., and Jyothi S. Nayak. "Enhancing Crop Productivity by Suitable Crop Prediction Using Cutting-Edge Technologies." In Sustainable Farming through Machine Learning. CRC Press, 2024. http://dx.doi.org/10.1201/9781003484608-2.

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Corves, B., M. Hüsing, M. Schumacher, and F. Schwarzfischer. "Optimization of Textile Machines in Order to Increase Productivity." In New Trends in Mechanism and Machine Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09411-3_36.

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O’Connor, Arthur J. "The History and Potential Future of Human–Machine Collaboration." In Organizing for Generative AI and the Productivity Revolution. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0959-0_1.

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Ahmed, Abdelrahman, Sergio Toral, and Khaled Shaalan. "Agent Productivity Measurement in Call Center Using Machine Learning." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48308-5_16.

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Jabbar, Eva, Philippe Besse, Jean-Michel Loubes, and Christophe Merle. "Conditional Anomaly Detection for Quality and Productivity Improvement of Electronics Manufacturing Systems." In Machine Learning, Optimization, and Data Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37599-7_59.

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Sonekar, Shrikant V., Pratiksha Singh, Pankaj Koche, and Prajwal Chauvhan. "Design and Development of an Intelligent Robot for Improving Crop Productivity Using Machine Learning." In Machine Learning for Robotics Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0598-7_5.

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Conference papers on the topic "Productivity machine"

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Panitanarak, Thap, and Boonyapron Kaowleg. "Machine Learning for Increasing Productivity in Shrimp Hatchery." In 2024 28th International Computer Science and Engineering Conference (ICSEC). IEEE, 2024. https://doi.org/10.1109/icsec62781.2024.10770721.

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Miranda, Péricles B. C., Leonardo Monte, André C. A. Nascimento, Márcio P. Basgalupp, and José Leovigildo Coelho. "Machine Learning and IoT for Predicting the Productivity of MRI Equipment." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650835.

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Patnaik, Asish Kumar, Neelamadhab Padhy, Archana Patnaik, and Rasmita Panigrahi. "Boosting Agricultural Productivity Using IoT and Machine Learning-Based Crop Recommendation." In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2024. https://doi.org/10.1109/scopes64467.2024.10991147.

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Gore, K. B., N. Chidambararaj, L. Kartheesan, Manasi Vyankatesh Ghamande, Ghanasham C. Sarode, and Gourav Kalra. "Smart Water Management in Agriculture: Enhancing Crop Productivity with Restricted Boltzmann Machine." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796681.

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Palsapure, Pranita Niraj, Pavithra M, Kumbhar Trupti Ravikumar, and Jagadish M. "Optimizing Agricultural Productivity: A Machine Learning-Based Approach for Precision Crop Recommendation." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10795967.

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Rahim, Nuranisa Suhada Binti Abd, Chuan Choong Yang, Nur Dalilah binti Zulkarnain, and Noor Hazrin Hany bt Mohamad Hanif. "Semi-Automatic Dough Weighing Machine for Enhanced Productivity in Quality Control Processes." In 2024 9th International Conference on Mechatronics Engineering (ICOM). IEEE, 2024. http://dx.doi.org/10.1109/icom61675.2024.10652537.

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Nokshangthemba, Saurabh Kumar, Shyam Sunder Jannu Soloman, and Nagaraju Baydeti. "Optimizing Agricultural Productivity: Developing a Smart Crop Recommendation System Using Machine Learning." In 2024 2nd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC). IEEE, 2024. https://doi.org/10.1109/icmacc62921.2024.10894047.

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H, Hajra, and G. Jayalakshmi. "Enhancing Workforce Productivity through Machine Learning: An Analysis of Adaptive Training Models." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011602.

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Nguyen, Chi Lan Phuong, Quyet Van Hoang, An Hai Lam Tran, et al. "Enhancing functional verification productivity through an automated workflow with Machine Learning based tools." In 2024 9th International Conference on Integrated Circuits, Design, and Verification (ICDV). IEEE, 2024. http://dx.doi.org/10.1109/icdv61346.2024.10617255.

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Raman, Ramakrishnan, Vikram Kumar, Sanjay C. P, Dhaval Rabadiya, Shailesh Rastogi, and Neelesh Kumbhojkar. "Advancing Tomato Leaf Hygiene with Machine Learning for Enhanced Plant Health and Productivity." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915494.

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Reports on the topic "Productivity machine"

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Ciha, Taylor, Adam Flinn, Johnny Hogan, et al. Measuring Machine Productivity Using Modern Data Collection System. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/tsm416-180814-12.

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Cyrus K Aidun. Improving Paper Machine Efficiency/Productivity through On-line Control. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/920308.

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Lovett, C. D. Machine performance standard provides opportunity to improve quality and productivity. National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5775.

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Klingmann, J. Accuracy enhancement of high-productivity machine tools CRADA No. TC-0161-91. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/757021.

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Klingman, J., and R. Kegg. Accuracy Enhancement of High-Productivity Machine Tools Final Report CRADA No. TC-0161-91. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1430940.

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Boustan, Leah Platt, Jiwon Choi, and David Clingingsmith. Automation After the Assembly Line: Computerized Machine Tools, Employment and Productivity in the United States. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30400.

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Tello, Mario D., Daniel Sebastian Tello-Trillo, and Pablo Enrique Rojas Lara. Productivity and Market Power: The Case of Manufacturing Firms of Peru 2002-2019. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013470.

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This paper uses seven standard market power indicators (price-cost margin, and six drawn upon the production approach) to estimate the effect market power on the rate of change of total factor productivity for a sample of formal manufacturing firms of Peru for the period 2002-2019. After applying exogeneity tests and implementing panel data with fixed effects instrumental variable method, the results are not clear about the causal relationship between market power and firms' TFP. However, when the Double-Debiased machine learning (DML) causal method is applied for fixed effects panel data with and without instruments, firms market power robustly seems not to affect their respective total factor productivity regardless of the market power indicators and instruments used. The paper also presents four examples which are consistent with this causal result suggesting that the relationship between market power and productivity needs to be analyzed on a case-by-case basis considering the product development of sectors, the influence and activities of firms and economic groups in the domestic economy and foreign markets, and the level of development of the country's productive structure.
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance human productivity, AI-driven sustainability practices for energy and resource efficiency, and predictive maintenance models that reduce downtime. Addressing ethical challenges, the Article highlights the importance of data privacy, unbiased algorithms, and the environmental responsibility of intelligent automation. Through case studies across manufacturing, healthcare, and energy sectors, readers gain insights into real-world applications of AI and ML, showcasing their impact on efficiency, quality, and safety. The Article concludes with future directions, emphasizing emerging technologies like quantum computing, human-machine synergy, and the sustainable vision for Industry 5.0, where intelligent automation not only drives innovation but also aligns with ethical and social values for a resilient industrial future. Keywords: Industry 5.0, intelligent automation, AI, machine learning, sustainability, human- machine collaboration, cobots, predictive maintenance, quality control, ethical AI, data privacy, Industry 4.0, computer vision, natural language processing, energy efficiency, adaptive logistics, environmental responsibility, industrial ecosystems, quantum computing.
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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development of safe systems—as well as to define the language around autonomous agriculture—is also considered. Additionally, this report will highlight the importance of reliability in agricultural machinery and how successful commercialization of autonomy will depend on the ability to do the job correctly and consistently. A critical part of commercial success is how the autonomous agricultural vehicle fits into existing farm processes to provide a complete solution for the farmer. It is hoped that this report will help developers interested in commercializing autonomous agricultural vehicles consider more than just the technical problems to solve and make choices beneficial to market adoption.
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Bergeron, Augustin, Arnaud Fournier, John Kabeya Kabeya, Gabriel Tourek, and Jonathan L. Weigel. Using Machine Learning to Create a Property Tax Roll: Evidence from the City of Kananga, D.R. Congo. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.101.

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Governments in the world’s poorest countries face severe revenue constraints. They typically collect less than 10 per cent of GDP in taxes, compared to 25–50 per cent in high-income countries. The literature on state capacity and development argues that inability to collect taxes is at the heart of why low-income countries are as poor as they are. It suggests that the path to economic prosperity may begin with investment in governments’ capacity to collect the tax revenue necessary to provide public goods that enhance productivity. Property taxation is often the primary source of government revenue at the local level, and is essential for provision of local public goods.1 However, it remains one of the most under-utilised taxes in developing countries. This is partly because taxing properties requires mapping and assessing the value of properties, which is complex and expensive. Only 39 per cent of non-OECD countries and 15 per cent of sub-Saharan African nations have mapped their largest city’s private plots. Several approaches have been proposed to map and value properties (see Zebong, Fish and Prichard (2017) for a review). Some countries rely on in-person appraisal visits, but, while accurate, these are typically costly and prone to corruption. For this reason, many countries, such as Pakistan, Sierra Leone, and Malawi, have instead adopted simplified valuation methods. The most common approach is points-based valuation, which consists of assigning points based on the surface area of the land and buildings. Additional points are awarded for positive features, and deducted for negative features.
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