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The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.

To do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.

The results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.

It was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.

The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what educational level they are used.

A systematic literature review was carried out in the Scopus (Elsevier), Web of Science and ScienceDirect (Elsevier) databases, starting in 2011. In total, 51 articles were selected for a quantitative analysis, and 23 of them were read to answer the questions of the research from a qualitative analysis.

The results show a greater use of augmented reality, simulation, Internet of Things and virtual reality. The level of education at which they are most present is higher education. They collaborate to increase immersion in content, student engagement, interpersonal interaction, reduce costs and risks, simulate real work scenarios, expand study possibilities, without limited time and space, develop soft skills and learn about technologies, their uses and modes of operation. It is concluded that the technologies of Industry 4.0 support the entire learning process, but they are not used as much as they should. They are still largely restricted to universities and courses related to manufacturing. It is hoped that this work can contribute to the development of Education 4.0 at all stages of teaching.

Reviews have already been carried out on the use of technologies in teaching. The originality of this work is in the fact that it focuses on Industry 4.0 technologies in the Education 4.0 scenario.

Research in business processes has been developed around a disciplinary approach toward the production of traditional knowledge, known as Mode 1. The problems studied with this approach are solved in a context in which academic knowledge prevails, with no major concerns regarding its practical applicability. Thus, the purpose of this paper is to propose a structure for knowledge production based on Mode 2 for business process researches.

A bibliometric research was conducted to define and conceptualize the classes of disciplinary problems, by assessing the years 2007-2012 of the Business Process Management Journal publications.

A framework for the Mode 2 knowledge production was proposed in the development of research in business process and conceptualized classes of problems related to this issue.

This work was carried out with specific focus on research in business process, so the defined classes of problems cannot be generalized.

The studies identified by this research are in the form of a disciplinary approach toward the production of traditional knowledge, known as Mode 1. This paper aims to fill the gap of a transdisciplinary production of knowledge and practical application, known as Mode 2 in the context of business process.

The objective of the present research was to carry out a scientific map about life cycle assessment (LCA) and triple bottom line (TBL) at slaughterhouse areas, looking for Cleaner Production practices aiming at recognizing strategic themes for maintaining the sustainability of productive systems, according to the development of sustainable practices and production evolution in slaughterhouse areas.

The literature analysis was based on general approach, with steps adapted of study phases and activities of preferred reporting items for systematic review and meta-analyses (PRISMA) recommendation guide to do systematic literature review. Activities were subdivided to discuss the results in two kinds of analysis: quantitative and qualitative.

The main findings of our study reinforce the LCA importance in slaughterhouses to promote Cleaner Production, so that the main measures suggested and/or adopted by different authors include the substitution of raw materials by feeding, with the adoption of grains, protein supplements with less environmental impact in the composition of the feed and changes in the processes seeking for better energy efficiency and optimization of water consumption in meat processing.

There is another action of sustainability considering LCA and Cleaner Production practices in the industrial meat area that should also be considered. These actions are restricted to documents of business circulation, with limited access since they involve issues regarding innovations in economic and technological aspects of slaughterhouses, as well as industrial confidentiality. Furthermore, in patent bases it is possible to advance the studies looking for how the digital transformation has been carried out in this industrial branch, since the 4.0 transformation industry tends to use clean technologies.

There are LCA models with a systemic approach to measure the level of sustainability of a process, comprising analysis of impacts related to different areas: environmental, social and economic although in terms of the meat production chain, the impact analysis focuses mainly on the environmental area. So, future works should be developed in meat production chain to assess social and economic impacts, i.e. a sustainable LCA addressing the three areas to consolidate models and standardize metrics with a scientific basis.

The use of management processes based on a systemic approach in the management of organizations aims the perception of the organizations in a more comprehensive way, integrating the various activities through the verification of the horizontal vision of the customer's satisfaction. But this perception is not easy to achieve. Thus, in order for the process management, a survey was conducted in the monitoring of performance indicators of a manufacturer of children's toys company, midsized, located in the Rio Pardo Valley, in the city of Santa Cruz do Sul, Rio Grande do Sul State – Brazil.

It was evaluated the indicators used by the organization in the following dimensions: products, main processes, support processes, learning and growth, customer, strategy and plans, with the aim of permeating the vision of process management. From the results tabulation it was possible to realize the understanding of the process agents studied in relation to the business, mission, organizational vision and values, as well as establish indicators measured among which are the active, inactive and absent.

At the end, the results of this research showed important facts perceived by the organization in the development and deployment of its performance or development indicators. The amount of 36 percent of the indicators analyzed are active and of these only 16 percent are related to the customer perspective.

With the study it was possible to identify which organization's objectives are disclosed and accompanied, through commitment and discipline are suggested improvement ideas to contribute to the mission, vision and values that are fully disseminated among the employees.

The purpose of this paper is to draw a picture on the reality of furniture industries in relation to management practices for project design of new products.

In order to do so it was developed a multiple case study in three companies of the sector located in Santa Maria, Rio Grande do Sul. This study was based on verification criteria focussing on project’s lifecycle.

As a result, it was possible to detect major faults from the organizations examined, it was found that processes are analyzed in a non-formalized and non-standardized way and, thus, restricting the integration of the projective stages, which reduced the quality of the final product.

From the results obtained in the multiple case study, it was possible to propose actions managerial characteristics that demonstrate the process of design of new products as a result of an operational standard, integrated with the management practices of the organization.

This article aims to identify strategies used by a midsize meatpacking plant company located in the state of Rio Grande do Sul, Brazil, in order to remain competitive in the market. Thus, the purpose of this paper is to understand which strategies the company uses and how those have been designed according to the company managers.

Concerning the methodology, a descriptive research was developed as a case study. The data collection was accomplished through researches on official company documents which describe its history and are used for several tasks. This information source pointed out critical events during the history of the organization which allowed the researchers to identify the strategies developed and implemented through its leaders' insight during those historical periods when the company was in crisis.

Mintzberg and McHugh's model was applied to identify strategies, as well as discovering the effects they obtained by using them. It has been observed that in order to remain competitive in the market, the company used strategies classified as Deliberate‐Accomplished and Emergent.

Through this case study it has been possible to identify the strategies created and applied by the meatpacking company's managers in order to remain competitive in the market.

The purpose of this paper is to describe benchmarking to evaluate the product development process (PDP) from a lean perspective.

The work was conducted by means of case studies at large companies in Brazil that develop products, based on a gap in the literature involving a lack of indicators to diagnose how lean are PDPs considering the principles and practices of the lean approach.

The results indicate in a quantitative manner that the 12 companies of the multiple case study are implementing the lean approach in their PDPs in an isolated or systematic manner through the categories – process, management, structure, people, product, client, supplier and waste.

The large companies in the case studies are located in different positions of the supply chain and the year that the company began introducing lean manufacturing was not considered, or the maturity of each firm.

Based on the diagnosis, it was possible to propose a set of actions so that the PDP at each company can be structured in a lean manner, improving competitiveness.

The main contribution of the study is a simple, useful and reproducible method that has a set of measurable indicators and graphic representation identifying the lean product development practices, as well as a structured guide to the implementation of improvements that allow companies from different sectors to be compared at a national level and also in the international market.

The purpose of this paper was to build the MACTAK methodology, which aims to transform collective tacit knowledge into the explicit one using knowledge elicitation techniques, associated to quality tools structured by systemography, represent it in a symbolic language and production rules and model it in two expert systems which can assist the investigation of defect causes during the metal packaging production process.

The method applied in the research was classified as exploratory, because a preliminary study was conducted, to better suit the mapping methodology for eliciting collective tacit knowledge, to the reality which was intended to be known. Through studies and the application of the systemography technique, a methodology for the elicitation of collective tacit knowledge has been developed. It suggests a systematic sequence of activities, to map and transform collective tacit knowledge into the explicit one, on the production process which was studied.

The types of tacit knowledge were mapped and became explicit through the application of the methodology proposed. A knowledge management system was created, as such knowledge was validated by other mechanics during their training on the shop-floor, which resulted in a structure of unique and shared knowledge. They became explicit for being stored in a knowledge base and presented to its users through the expert system. It is concluded that the methodology of acquiring collective tacit knowledge helped on the reduction of rework index by standardizing the way used to investigate the cause of the defect, in the studied company.

The MACTAK methodology was developed for exclusive use in industrial processes where the following elements are presented: process, method, environment, raw materials, labor work, measurement and machine. In this method, the detection of the problem occurs from statistical data.

The methodology began in August 2010, and in October 2011, obtained as a result a reduction in rework cost equivalent to US$17,780.95.

The methodology is unique, as it refers to the systematic use of knowledge acquisition techniques and tools of quality, and the methodology has a characteristic of direct application in manufacturing processes. The beneficiaries, in this case, are mechanicals of production and quality inspectors that work at the operation level in the company. For the organizational and tactical level, the beneficiaries are engineers of production.

The purpose of this paper is to study the level of importance existing among the indicators that were previously defined for a Performance Measurement Systems (PMS) and are relative to franchises in Brazil, using the Analytic Hierarchy Process (AHP) methodology, together with a series of tests, which are responsible by verifying the degree of reliability, robustness and stability of the parameters used and the results obtained. As a result, the author suggests that the diagnosing of the five delimited indicators have different relevance assigned to them.

This paper reviews extant literatures in Franchise, PMS, Multiple Criteria Decision Making (MCDM), in specific the theory about AHP.

The authors found that it was possible justified, for both the relative and the evaluative method, that the I3 was the main point of the system and, as a consequence, be considered as priority when talking about sectorial development of franchises in Brazil. As for the other indicators, even being located in a level lower than I3, they must be taken into contemplation in these measurements, however, with a relatively inferior importance degree.

It was possible to better comprehend which economics and non-economic factors selected have a more predominance in the Brazilian franchise context, according to characteristics of the companies present.

The absence of scientific papers that describe the relevance level of the main factors that influence in the Brazilian franchise system.