The actual industrial development linked to the financial situation over the world lead automotive and other companies to expand their production level to stay competitive. Changing an organization to raise its production or profit is not a one day journey, but requires some steps. Tools exist to develop the production level of manufacturing industry since more or less the fifties, and the continuous improvement is measured by some available and famous indicators around lean manufacturing mainly. Pressing equipment especially like a metal stamping press expressed through the following case study can be improved by respecting some fundamentals. Lean manufacturing aspects as 5 S’s and TPM (Total Productive Maintenance) for example are tools that can be applied to improve the production rate of a stamping press. To even better improve the OEE (Overall Equipment Effectiveness) of the same machine, a tool like SMED (Single Minute Exchange of Dies) reveals to be really powerful when improving the global output rate of the machine. The case study developed inside this present report aims to investigate all the possibilities to improve the OEE of pressing equipment facing theoretical aspects and reality issues. The tools involved are part of the content, but the way to support a company for the organizational change required to the success is another part of the content. Technical solutions are taking part of the outcome, and a strong link to change management is included. Correlation between both technical and managerial aspects is the main line followed to get the final results. An experimental and actual OEE is calculated, and improved following a rating according to the possible improvements. Those results are analyzed to provide a weighted feedback related to the whole research.

This thesis is focused on the suggestions for the application of maintenance department optimization concept -- Total productive maintenance, in the context of wider concept of lean manufacturing, in the BAEST company. The content of the thesis is to get acquainted with the theoretical background of the lean manufacturing and maintenance, analysis of the current state at the company's maintenance department reflecting the described theoretical background, identification of the potential for improvements by comparing the current state with the theoretically ideal state and coming up with individual recommendations for improvements of the maintenance department in order to make it better and more effective and efficient.

This master‘s thesis is focused on ways, which are aimed at increasing the overall equipment effectiveness in the conditions of a particular business subject. This is the Logaritma a.s., which focuses on the automotive industry. The content is an analysis of the current status and overall equipment effectiveness for the entire enterprise and on the concretely chosen assembly lines. For specific assembly lines is proposed to solutions to establish equipment efficiency, using methods used in lean company. Theoretical solutions are defined.

The thesis focuses on the study of the effectiveness of selected machines in a company through indicators of overall equipment effectiveness. The aim of this work is to find bottlenecks in production and to provide solutions to increase the productivity of machinery monitoring the operation of machinery. On the selected machine is an analysis that is detected downtime limiting engine running. By entering the draft countermeasures against individual downtime. According to the lessons learned can then implement countermeasures in the company to avoid loss of productivity in production.

In industrial design, additive manufacturing technology is one of the key technologies that have changed the way of producing metal component parts on short demand. Because of competitiveness among industries and the requirement to keep up with thegrowth of thesmart factory technology, the industries are pushed to step up and take further steps towards industry 4.0. Today the AM technology is used at prototype scale, but previous literature says that for the technology to reach the full capacity, it needs to be scaled up. Previous literature shows that improvements in the supply chain are necessary in order to scale up the industrial production and achieve high-scale adoption of the technology. As there are few sourcesin the literature about AM scalability or finding critical improvements in terms of lead times, costs and material consumptions, this study will fill that gap. The main objective of this research is to study small-scale 3D printing in the AM industries with two main industrial objectives in mind: 1 –Understanding the problem of optimization of a small-scale 3D printing operation in the industry and 2 –projecting a scenario regarding the scaling up of such facilities to reach full industrial production capacity. The method used for finding improvements in the additive manufacturing supply chain was optimization. I have developed the Overall Material Flow Effectiveness model (OMFE), which is an optimization model that takes into consideration the relevantparameters of the AM material flow regarding lead times, costs and material consumption. A literature review was conducted to determine the research design and what has and not been investigated. A sensitivity analysis was performed, which provided information aboutissues of scale, size and significance of optimizing a prototyping model,andalso aboutanalyzing the optimization model development in terms of evaluating the prototyping, making it better and scaling up to high-level production. The optimal material flow of the AM industry is a scaled-up production with implemented improvements regarding transport and cost. By comparing it with the current prototype production, it is possible to identifythat all of the OMFE related factors have higher percentages. The top losses within the current AM industry are related to non-human processes. The most significant optimization loss is the loss of transport, where the time from supplier to goods reception have a significant influence. The second largestlossis cost,generated bylabour management.

Additive manufacturing is becoming a leading technology in the production of consumer parts. In order to compete with traditional methods which have had years to improve, additive systems must achieve a level of performance efficiency greater than it maintains today. While great effort is being expended to improve the printing time and add more systems level thinking to the problem, it is currently lacking a robust improvement methodology. To achieve the desired improvement, a technique from traditional manufacturing based on overall equipment effectiveness (OEE) is proposed. Overall additive manufacturing effectiveness (OAME) provides a methodology for enhancing this important emerging technology.

No description available.

Manufacturing management and operations place heavy emphasis on monitoring and improving production performance. This supervision is accomplished through strategies of manufacturing performance management, a set of measurements and methods used to monitor production conditions. Over the last thirty years the most prevalent measurement of traditional performance management has been overall equipment effectiveness, a percentile summary metric of a machine's utilization. The technologies encapsulated by Industry 4.0 have expanded the ability to gather, process, and store vast quantities of data, creating opportunity to innovate on how performance is measured. A new method of managing manufacturing performance utilizing Industry 4.0 technologies has been proposed by McKinsey & Company and software tools have been developed by PTC Inc. to aid in performing what they both call digital performance management. To evaluate this new approach, the digital performance management tool was deployed on a Festo Cyber-Physical Lab, an educational mock production environment, and compared to a digitally enabled traditional performance management solution. Results from a multi-day production period displayed an increased level of detail in both the data presented to the user and the insights gained from the digital performance management solution as compared to the traditional approach. The time unit measurements presented by digital performance management paint a clear picture of what and where losses are occurring during production and the impact of those losses. This is contrasted by the single summary metric of a traditional performance management approach, which easily obfuscates the constituent data and requires further investigation to determine what and where production losses are occurring.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-02-19T12:32:34Z No. of bitstreams: 1 Renato Luis Valente de Boer_.pdf: 1664872 bytes, checksum: aa7b8bde00fe02ba359b9222a2147fda (MD5) / Made available in DSpace on 2016-02-19T12:32:34Z (GMT). No. of bitstreams: 1 Renato Luis Valente de Boer_.pdf: 1664872 bytes, checksum: aa7b8bde00fe02ba359b9222a2147fda (MD5) Previous issue date: 2010-06-01 / Nenhuma / Este trabalho tem como tema a análise da incorporação dos efeitos variabilidade dos processos sobre o indicador IROG (Índice de Rendimento Operacional Global) e os seus desdobramentos na GPT (Gestão do Posto do Trabalho). Como objetivo principal buscou-se a proposição de um modelo para avaliação do impacto da variabilidade sobre o IROG e a GPT. O modelo proposto foi testado em duas empresas do segmento metal-mecânico, a partir do estudo de quatro postos de trabalho. Parte-se, inicialmente de uma revisão bibliográfica dos conceitos da GPT e da evolução do uso do indicador IROG na avaliação da eficiência dos equipamentos vinculada à TPM (Total Productive Maintenance); considera-se ainda, as perdas por gestão tais como: falta de programação, falta de operador, reuniões, etc. Também fizeram parte da revisão bibliográfica os conceitos relacionados à variabilidade dos processos e formas para o seu monitoramento. Com base nos estudos de caso desenvolvidos em quatro equipamentos, comprovou-se que a aplicação do modelo proposto proporcionou melhorias nos resultados do IROG. Como exemplos destes resultados citam-se: o aumento do IROG no mês dezembro de 49% para 62% no caso 1 e de 71% para 77% no caso 3. Outro resultado percebido está relacionado ao uso do modelo como ferramenta de gestão, o que proporcionou aos envolvidos na GPT, um melhor entendimento da variabilidade, a correta identificação das causas comuns e especiais de variação e, conseqüentemente, a tomada de ações apropriadas nos postos de trabalho. / This work has covered the analysis of the incorporation of the effects related to process variability on the OEE (Overall Equipment Effectiveness) Index and its consequences on WM (Workplace Management). The main objective was to propose a model for assessing the impact of variability on OEE and WM. The proposed model was tested in two metal-mechanic companies, by studying four work stations. It originally started with a review of the concepts of WM and the evolution of the use of OEE in evaluating the efficiency of equipment tied to the TPM (Total Productive Maintenance); it has been considered as well management wastes such as lack of production planning, lack of operator, meetings, etc. A review of the concepts related to the variability of processes and ways to monitor it were also taken into consideration. Based on case studies developed in four equipments, it was shown that the implementation of the proposed model provided improvements in the results of OEE. For instance: the OEE increased in last December from 49% to 62% in case 1 and from 71% to 77% in case 3. Another result is related to the perceived use of the model as a management tool, which provided for those involved in the WM a better understanding of variability, the correct identification of common and special causes of variation and, consequently, the implementation of appropriate action on the work stations.

Det finns stora förluster i sågverk som inte framkommer av deras traditionella driftsuppföljnings¬processer. Strategiskt viktigt för organisationen är frågan vad företaget behöver göra för att bli effektivt. I detta arbete diskuteras mätmetoder av effektivitet med avseende på underhåll och hur effektiviteten kan mätas med hjälp av att beräkna den totala utrustningseffektiviteten (OEE). Arbetet beskriver också olika underhållsstrategier och processen med att införa en sådan policy på sågverk. Under en period av sex dagar beräknas OEE på fem sågverk. Resultatet var att OEE värdet i snitt var runt 50 procent, som är ganska lågt. Genom att applicera en kostnadseffektiv underhållspolicy kan företaget öka sitt OEE värde och få en mer effektiv process. Detta kan göras genom att en policyn minskar de övergripande kostnaderna relaterade till de sex stora förlusterna. Diskussion förs också kring avvikelserna/stoppen och hur orsakerna till dessa kan härledas genom analyser med t.ex. Ishikawadiagram. Arbetet lyfter fram att ett systematiskt förbättringsarbete skulle ge nästan ett fördubblat kapacitetsutnyttjande för sågverken utan några större investeringar. I arbetet beskrivs hur sågverken kan bli framgångsrikare med detta genom att välja en kostnadseffektiv underhållspolicy. / There are several big losses in sawmills that are not addressed by the traditional operation feedback systems. It is strategic significant for organizations to address the question what need to be done in order to bee more effective. This work discusses methods of measurement the effectiveness with respect to maintenance and how the effectiveness can be measured by assessing the Overall Equipment Effectiveness (OEE). The work also emphasizes on maintenance strategies and the process of implementing such a policy in sawing mills. During a period of six days assessments of OEE were made in five different sawmills. The results were that OEE in general were about 50 percent, which is considered low. By implementing a cost-effective maintenance policy, it will lead to increase the value of OEE for the process. Using a policy that will decrease the overall costs related to the six big looses could do these. Discussions the production stoppages and how these can be analyzed by using different tools, such as Ishikawa diagram are addressed. The work highlights that a systematic improvement work would increase appreciably the capacity utilized without any large investments. This study also describes how sawmills can be successful when increasing their effectiveness by selecting a cost-effective maintenance policy for their process.