983 resultados para overall equipment efficiency (OEE)
Resumo:
Tämän diplomityön tavoitteena oli tutustua kokonaisvaltaisen tuottavan kunnossapidon teoriaan ja soveltaa sitä Abloy Oy Joensuun tehtaalla pilottikohteeksi valittuun koneeseen. Pilottikohteeksi oli valittu uusi Sveitsiläinen Hydromat-monitoimityöstökeskus, jonka kokonaistehokkuutta (OEE) pyrittiin parantamaan kokonaisvaltaisella tuottavalla kunnossapidolla (TPM). Työn kirjallisuusosuudessa tarkastellaan teoriatietoja, jotka liittyvät yleisesti kunnossapitoon ja tarkemmin TPM-toimintaan. Lisäksi käsitellään kunnossapidon mittareita ja tietojärjestelmiä. Työn empiirisessä osassa selvitetään, kuinka TPM-toiminta otettiin käyttöön Hydromat-monitoimityöstökeskuksen osalta. Eniten resursseja käytettiin koneen asetusaikojen lyhentämiseen. Lisäksi koneen käyttäjien itsenäiseen kunnossapitoon siirtyminen kuului työn sisältöön. Työssä on selvitetty myös uuden tuotannon seurantataulun käyttöönotto. Seurantataulusta nähdään useita tuotantotietoja kuten kokonaistehokkuus. Työn merkittävimmät tulokset osoittavat, että asetusajat ovat tällä hekellä hyvin pitkiä tavoitteisiin nähden. Asetusaikojen lyhentyminen halutulle tasolle vaatii koneen käyttäjien pitkän oppimisprosessin sekä optimaaliset toimintaolosuhteet. Lisäksi havaittiin, että uuden toimintamallin esitteleminen ja sen käyttöönotto valmistavassa teollisuudessa on vaativa prosessi.
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The aim of this master’s thesis was to document the present state and to create a development plan for Moventas Wind’s cost accounting. The current cost accounting system was evaluated and most fundamental problems were chosen as areas of focus in development work. The development plan includes both short- and long-term development proposals for problems identified. This report presents two alternative models for product costing. Benchmarking of cost accounting practices and modern cost accounting theories were used in development of cost accounting. It was found that the current cost accounting system functions quite well and the adjustments in unit cost rate calculation have only a minor influence on costs of goods sold. An OEE-based standard cycle concept was also developed and it was found that the implementation of this new system is worthwhile in the long-term.
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Overall Equipment Effectiveness (OEE) is the key metric of operational excellence. OEE monitors the actual performance of equipment relative to its performance capabilities under optimal manufacturing conditions. It looks at the entire manufacturing environment measuring, in addition to the equipment availability, the production efficiency while the equipment is available to run products, as well as the efficiency loss that results from scrap, rework, and yield losses. The analysis of the OEE provides improvement opportunities for the operation. One of the tools used for OEE improvement is Six Sigma DMAIC methodology which is a set of practices originally developed to improve processes by eliminating defects. It asserts the continuous efforts to reduce variation in process outputs as key to business success, as well as the possibility of measurement, analysis, improvement and control of manufacturing and business processes. In the case of the Bottomer line AD2378 in Papsac Maghreb Casablanca plant, the OEE figures reached 48.65 %, which is below the accepted OEE group performance. This required immediate actions to achieve OEE improvement. This Master thesis focuses on the application of Six Sigma DMAIC methodology in the OEE improvement on the Bottomer Line AD2378 in Papsac Maghreb Casablanca plant. First, the Six Sigma DMAIC and OEE usage in operation measurement will be discussed. Afterwards, the different DMAIC phases will allow the identification of improvement focus, the identification of OEE low performance causes and the design of improvement solutions. These will be implemented to allow further tracking of improvement impact on the plant operations.
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Through a description of the productivity problems experienced by some enterprises, to optimize their respective production lines, results of poor performance or low quality, the following work aims to explain and demonstrate the practical application of the theory of overall equipment effectiveness (OEE) on cold lamination machines in a steel industry . The project, to ensure your goal, is based on structuring a complete planning to increase levels of performance, availability and quality relating to rolling. On completion of the work, will be presented forecasts of future goals for the OEE, to search for continuous improvement and global standards of efficiency, taking into account, the sector the company operates, the history of the laminators, and financial aspects
Resumo:
Through a description of the productivity problems experienced by some enterprises, to optimize their respective production lines, results of poor performance or low quality, the following work aims to explain and demonstrate the practical application of the theory of overall equipment effectiveness (OEE) on cold lamination machines in a steel industry . The project, to ensure your goal, is based on structuring a complete planning to increase levels of performance, availability and quality relating to rolling. On completion of the work, will be presented forecasts of future goals for the OEE, to search for continuous improvement and global standards of efficiency, taking into account, the sector the company operates, the history of the laminators, and financial aspects
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Mestrado em Engenharia Electrotécnica e de Computadores
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Diplomityössä käsitellään ne toimet, jotka Esa Lehtipaino Oy:ssä tarvitsee tehdä kunnossapidon kehittämiseksi sanomalehtipainoprosessin kunnossapidossa. Työssä käytettiin luotettavuuskeskeisen ja kokonaisvaltaisen tuottavuuskeskeisen kunnossapidon strategioiden osia sekä PSK Standardisoinnin PSK 5705:2006standardin mukaista menetelmää määrittämään kunnossapidon kannalta tärkeimmät kohteet ja osa-alueet. PSK 5705:2006 on kunnonvalvonnan värähtelymittausten mittaustoiminnan suunnitteluun luotu standardi, jonka perusteella rakennettiin sanomalehtipainoprosessiin sopiva tuotantolaitteiston luokitusjärjestelmä. Luokituksenperusteella kohdennetaan kunnossapidon resurssit tuotantojärjestelmän luotettavuuden kannalta oikeisiin, tuottavimpiin kohteisiin. Tuotantohenkilöstön kunnossapitohenkilökunnalle tekemien vikailmoitusten välitykseen rakennettiin Microsoft Access -pohjainen Vikaloki-lomake. Kunnossapitotoiminnan kehityksen tuloksien seuraamiseksi määritettiin PSK 6201:2003 standardin mukainen tuotannon kokonaistehokkuutta kuvaava KNL-luku. KNL-luvusta luotiin ennuste kunnossapidon kehittämistarpeista regressioanalyysin avulla. Kehitysmalli esittää, että kohdeyrityksessä tulee toiminnan kehittäminen aloittaa päivittämällä tietokonepohjainen toiminnanohjausjärjestelmä, johon lisätään ennakoivat suunnitellut kunnossapitotoimet. Toimet määriteltiin yllämainitun kriittisyysluokituksen perusteella.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
Resumo:
The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
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Pääoman tuottavuuden merkitys kasvaa metsäteollisuuden tuottavuuden ja kilpailukyvyn varmistamisessa.Tuottavuuteen vaikuttavat tuotannon määrä sekä tuotannosta saatava hinta johon osaltaan vaikuttaa tuotteen laatu. Näitä tekijöitä voidaan mitata käyttämällä esimerkiksi mallia tuotannon kokonaistehokkuudesta. Tämä työ tarkastelee tuotto-kustannus -mallin soveltuvuutta paperikoneprosessin tuloksentekokyvyn arviointiin. Lisäksi tutkimuksen kohde on elinkaarimallinnuksen periaatteisiin perustuvan mallin tiedontarpeiden arvioinnissa sekä mallilla tuotettavien tulosten selvittämisessä. Työssä käsitellyn mallinnusperiaatteen mukainen prosessimalli mahdollistaa kokonaisnäkemyksen paperikoneprosessin tuottoja ja kustannuksia aiheuttavista tekijöistä. Mallilla saatavien tuloksien tarkkuus riippuu käytettävissä olevista lähtötiedoista. Työn esimerkkimallinnus listaa vähimmäistiedot, joilla paperikoneen tuottoja ja kustannustekijöitä tarkasteleva malli voidaan toteuttaa. Työ osoittaa, että paperikoneella on paljon tuotantoaikaan vaikuttavia häiriötekijöitä, joiden merkittävyys on analysoitava tarkemman mallin rakentamiseksi. Mallin kohdentaminen olemassa olevalle paperikoneelle antaisi riittävästi mittaustietoa ja kokemusperäistä tietoa mallin tarpeisiin. Yksityiskohtaisemman mallin rakentamisella saataneen myös yleisesti paperikoneprosessin tuotantohäiriöihin liittyvää tietoa.
Resumo:
In any manufacturing system, there are many factors that are affecting and limiting the capacity of the entire system. This thesis addressed a study on how to improve the production capacity in a Finnish company (Viljavuuspalvelu Oy) through different methods like bottleneck analysis, Overall Equipment Effectiveness (OEE), and Just in Time production. Four analyzing methods have been studied in order to detect the bottleneck machine in Viljavuuspalvelu Oy. The results shows that the bottleneck machine in the industrial area that constraint the production is the grinding machine while the bottleneck machine in the laboratory section is the photometry machine. In addition, the Overall Equipment Effectiveness (OEE) of the entire system of the studied case was calculated and it has been found that the OEE of the Viljavuuspalvelu Oy is 35.75%. Moreover, two methods on how to increase the OEE were studied and it was shown that either the total output of the company should be 1254 samples/shift in order to have an OEE around 85% which is considered as a world class or the Ideal run rate should be 1.45 pieces/minute. In addition, some realistic methods are applied based on the finding in this thesis to increase the OEE factor in the company and in one realistic method the % OEE has increase to 62.59%. Finally, an explanation on how to implement the Just in Time production in Viljavuuspalvelu Oy has been studied.
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This thesis presents the methodology of linking Total Productive Maintenance (TPM) and Quality Function Deployment (QFD). The Synergic power ofTPM and QFD led to the formation of a new maintenance model named Maintenance Quality Function Deployment (MQFD). This model was found so powerful that, it could overcome the drawbacks of TPM, by taking care of customer voices. Those voices of customers are used to develop the house of quality. The outputs of house of quality, which are in the form of technical languages, are submitted to the top management for making strategic decisions. The technical languages, which are concerned with enhancing maintenance quality, are strategically directed by the top management towards their adoption of eight TPM pillars. The TPM characteristics developed through the development of eight pillars are fed into the production system, where their implementation is focused towards increasing the values of the maintenance quality parameters, namely overall equipment efficiency (GEE), mean time between failures (MTBF), mean time to repair (MTIR), performance quality, availability and mean down time (MDT). The outputs from production system are required to be reflected in the form of business values namely improved maintenance quality, increased profit, upgraded core competence, and enhanced goodwill. A unique feature of the MQFD model is that it is not necessary to change or dismantle the existing process ofdeveloping house ofquality and TPM projects, which may already be under practice in the company concerned. Thus, the MQFD model enables the tactical marriage between QFD and TPM.First, the literature was reviewed. The results of this review indicated that no activities had so far been reported on integrating QFD in TPM and vice versa. During the second phase, a survey was conducted in six companies in which TPM had been implemented. The objective of this survey was to locate any traces of QFD implementation in TPM programme being implemented in these companies. This survey results indicated that no effort on integrating QFD in TPM had been made in these companies. After completing these two phases of activities, the MQFD model was designed. The details of this work are presented in this research work. Followed by this, the explorative studies on implementing this MQFD model in real time environments were conducted. In addition to that, an empirical study was carried out to examine the receptivity of MQFD model among the practitioners and multifarious organizational cultures. Finally, a sensitivity analysis was conducted to find the hierarchy of various factors influencing MQFD in a company. Throughout the research work, the theory and practice of MQFD were juxtaposed by presenting and publishing papers among scholarly communities and conducting case studies in real time scenario.
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Il presente lavoro di tesi nasce dall'attività di stage svolto presso la Toyota Material Handling Manufacturing Italy S.p.A. di Bologna, azienda specializzata nella produzione di carrelli elevatori. Lo scopo prefissato di questo elaborato è quello di fornire una visione globale della Total Productive Maintenance, andando successivamente ad illustrare gli strumenti e le metodologie impiegate in un contesto reale e quindi i risultati ottenibili nel medio-lungo termine. La prima parte dell’elaborato va ad illustrare lo scenario moderno nel quale le imprese sono chiamate a confrontarsi e a competere per raggiungere i propri obiettivi. Nella seconda parte viene trattato il tema della “manutenzione dei sistemi produttivi” con particolare attenzione agli approcci risolutivi e alle politiche intraprese nel corso degli ultimi anni per poi analizzare il principale strumento di gestione della manutenzione utilizzato in scala mondiale, ovvero la Total Production Maintenance. L’ultima parte, dopo un capitolo riservato alla presentazione dell’azienda, si concentra sulle attività svolte presso l’azienda, sugli strumenti e tecniche utilizzate, per poi analizzare i risultati ottenuti ed ottenibili grazie al percorso intrapreso.
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Le peculiarità del contesto competitivo attuale richiedono alle aziende di muoversi con la massima velocità per rispondere il più rapidamente possibile al soddisfacimento delle richieste dei clienti. La ricerca di massima flessibilità non può prescindere dall’esigenza di mantenere alti livelli di efficienza produttiva e di tendere ad un continuo miglioramento dei flussi interni. L’elaborato ripercorre i passaggi fondamentali di un progetto di miglioramento delle performance di un impianto svolto nel primo semestre 2016 presso Philip Morris Manufacturing & Technology Bologna S.p.A. La metodologia utilizzata riprende strumenti, modelli e metodi dai principi alla base del Focus Improvement, primo pilastro del tempio della Total Productive Maintenance. Attraverso l’applicazione sistematica di tecniche tipiche del problem solving (ciclo di Deming) e di approcci analitici per la determinazione delle cause di guasto (curva di Pareto, Diagramma di Ishikawa), è stato possibile identificare i principali tipi di perdite (tempo, performance, difetti qualitativi) di una macchina industriale e mettere in atto gli interventi migliorativi necessari. L’analisi si conclude con la valutazione dei futuri sviluppi dello scenario, proponendo diverse alternative a seconda dell’abilità dell’organizzazione di sostenere i risultati raggiunti o addirittura di superarli.