The concept of the industry 4.0 in a German multinational instrumentation and control company: a case study of a subsidiary in Brazil

The study aims to present the industry's 4.0 concepts and facilities available on the market, applied in a German instrumentation and control industry in Brazil. The study aims to present advanced manufacturing technologies that are already being applied in the company studied. As a research method, a bibliographic review is done first, followed by a qualitative, quantitative and descriptive analysis of the results of a case study. The results are intended to present the company's maturity level in relation to Industry 4.0 (I.4.0) as well as to diagnose possible new applications to increase the control and monitoring of its activities. At the end of the paper, suggestions for future studies will be available to complement the methodology proposed in this study

An Analysis of the Technical Performance Demands of Elite Female Boxers.

The aim of this study was to analyse the technical performance demands of elite level female boxing across four different bout outcomes (unanimous win, split win, split loss and unanimous loss). 37 bouts (74 performances) were analysed from the quarter-finals, semi-finals and finals of the 2014 women's world championships. The analysis was conducted using key performance indicators (KPI's), including total punches, types of punch, punch outcome, type of defence and type of exchange. Unanimous winners threw the most punches overall and also in each round independently. Unanimous win and split win were found to throw significantly more very successful punches and successful three punch combinations than both split loss and unanimous loss. The number of exchanges initiated was highest for unanimous win, followed by split win, with unanimous loss initiating the least number of attacks. Although there was no significant difference between unanimous win and split win, the main differences were found to be very successful punches, successful punches, efficiency and individual attacks. The differences between most KPI's was smaller between split win and split loss than unanimous win and unanimous loss. Split winners initiated more exchanges in order to dominate bouts. This study provides a detailed analysis of KPI's across four different bout outcomes (unanimous win, split win, split loss and unanimous loss) and can be used by coaches and athletes in order to assist in the planning of training programmes and informing tactics

Maintenance management based on organization maturity level

This article aims to discuss the management processes of the maintenance function of a company depending on the degree of maturity of the organization in connection with the maintenance, redefining training strategies, collection and analysis of failures, study and action plan to improve operational performance according to the organization's strategies. The maintenance management makes use of some tools and techniques to improve efficiency and minimize their impacts, such as the Reliability Centered Maintenance (RCM), Total Productive Maintenance (TPM), Analysis of the Failure Mode and Effects (FMEA). The identification of the degree of maturity on the maintenance, leads us to a better planning of actions needed to adapt management strategies proposed thus appropriate computerized tools, performance indicators, technical analysis and management methodologies most appropriate, providing a horizon of improvements necessary for the successful evolution of the process and the resulting progress in the maintenance maturity level function for the company. Understanding the aspects which define the degree of maturity of an organization may not be an easy task. We intend, therefore, support the argument that the degree of maturity management processes associated with maintaining the function of a company is closely related to the degree of preparation and knowledge of tools and control systems that an organization has. Aspects related to maturity levels have been fairly dealt with in various segments of the knowledge and practice of characterizing its findings have contributed to the achievement of better results in organizations in general.Fundação para a Ciência e a Tecnologia (FCT

On-Farm Benchmarking: How to Do It and How to Do It Better

Benchmarking is the practice of establishing the relative performance of a business or enterprise against an appropriate standard, generally industry standards derived from a survey of farms. The Policy Commission into the Future of Farming and Food (2002) highlighted a need to spread and improve benchmarking on farms. The requirements of effective benchmarking are illustrated in a ten step framework. The ten steps illustrate the range of expertise and resources a manager requires before being able to justify allocating resources to benchmarking. A comparison of alternative farm surveys and methodologies used to collect, analyse and report industry standards illustrates the difficulties farmers can have in identifying appropriate, robust and accurate industry standards. It is concluded that there needs to be a thorough rationalisation of farm surveys and agreement on methodologies to make benchmarking more effective and more efficient.benchmarking, comparative analysis, processes, industry standards, methodology, techniques, Farm Management,

Performance Analysis on Health and Safety Issues of Companies from the Slaughterhouse Industry

The objective of this article is to analyses the performance of companies of the slaughterhouse industry in health and safety issues. The research method is the quantitative modelling. The main research technique uses a mixed method based on multi-attribute utility method (MAUT) and artificial neural networks (ANN). The research object are 34 slaughterhouse companies located in Southern Brazil. Then, we ranked the companies and modeled their decision trees using the MAUT method. From these results, neural networks were used to benchmark and compare the methods. This resulted in a linear equation that represents the closest solution to the ideal and percentage error in the decision trees resolution. Thus, neural networks are most efficient, because they indicate which KPIs (key performance indicators) most influence the organizations performance. We numerically present the gain of information and the margin of error, concluding that some KPIs do not influence competitiveness without requiring controls. The academic and social contribution is that through the union of MAUT and neural networks we can measure the performance and select the main KPIs that need to be controlled for any type of industry