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The purpose of this paper is to present an application of the simulated annealing algorithm to the redundant system reliability optimization. Its main aim is to analyze and compare this optimization method performance with those of similar application.

The methods that were used to compare results are the genetic algorithm, the Lagrange Multipliers, and the evolution strategy. A hybrid algorithm composed by simulated annealing and genetic algorithm was developed in order to achieve the general applicability of the methods. The hybrid algorithm also tries to exploit the positive aspects of each method.

The results presented by the simulated annealing and the hybrid algorithm are significant, and validate the methods as a robust tool for parameter optimization in mechanical projects development.

The main objective is to propose a method for redundancy optimization in mechanical systems, which are not as large as electric and electronic systems, but involves high costs associated to redundancy and requires a high level of safety standards like: automotive and aerospace systems.

The aim of this paper is to analyze international and national research and development (R&D) programs and roadmaps for the manufacturing sector, presenting how agile and lean manufacturing models are addressed in these programs.

In this review, several manufacturing research and development programs and roadmaps – national programs from the USA and Canada, and international programs from the European Union and from one international organization – are reviewed.

The major finding of this review is that the main concerns in agile manufacturing, as highlighted in these programs, are networks, supply chain and product/service customization, and lean manufacturing's inclination towards achieving better cost efficiency. Although the lean manufacturing approach has been considered in many past and present programs, analysis of the most recent programs shows a greater priority is given to the agile manufacturing approach. The path towards sustainable manufacturing is delineated by pro‐active attitude and action towards customers.

The study analyzes two national R&D programs from the USA, one international program from the European Union, three international roadmaps from the European Union, one business plan from Canada and one international roadmap from the global organization Intelligent Manufacturing Systems.

The findings of this paper are intended to help managers, researchers and practitioners from the manufacturing sector to enhance their understanding and define suitable strategy for their organizations' sustainability and identify suitable manufacturing path with respect to agile and lean philosophies. This study could also help academics in defining course curricula for students more coherent with the R&D policies and/or requirements towards sustainable manufacturing with respect to agile and lean philosophies.

There are reviews comparing agile and lean manufacturing paradigms, but there are no reviews about how the two manufacturing concepts are addressed in manufacturing R&D programs and roadmaps.

This editorial aims to introduce the theme of the special issue: “Lean vs agile from an organizational sustainability, complexity and learning perspective”.

The methodology of the editorial is that of a survey. In the first part it presents the relevance of the theme and in the second part it presents the papers included in the special issue, including their themes, findings and novel contributions.

The individual findings by the papers present significant new contributions in a deeper insight of the “lean” and “agile” philosophies, or approaches in, and to, organizations. It could be noticed that the controversies of the issue “lean vs. agile” still remain. However, it could be said that an eventual further investigation in the phenomenology of “lean” and “agile” will be more informed after consideration of the results presented in this special issue.

Further investigation should be undertaken on a more abstract “level” of the theories of “lean” and “agile” and their mutual relationship, such as theories about the internal processes of “lean”/“agile” users, general “lean”/“agile” theories, epistemology of “lean”/“agile”, and ontology of “lean”/“agile”, and relationship with learning organization and chaordic organization.

Readers, both theoreticians and practitioners, will find in this editorial a “guide” to the issues of their interest concerning the valuable explanations, ideas and tools, presented in the special issue, for both concrete applications in enterprises and organizations, and for further research and development of learning, complex and sustainable organizations, and towards new ideas and insights generation.

This editorial presents an analysis of the special issue on “lean vs agile”, contributing to the higher levels of the theories of “lean” and “agile” and their mutual relationship, namely to the theories about the internal processes of “lean”/“agile” users, general “lean”/“agile” theories, and epistemology of “lean”/“agile”.

The purpose of this paper is to analyze the formal political, legal and economic institutional legitimacy challenges for (US-based) multinational corporations (MNCs) attempting to enter the Cuban market, discuss the key local constituencies in Cuba that are able to grant legitimacy and sketch out respective strategies to deal with each of these formal institutional challenges.

A qualitative research approach comprising semi-structured executive interviews was used, combined with the analysis of media accounts and recent governmental policies and developments. The authors interpreted the gathered data and information based on institutional theory.

This paper sketches out specific legitimacy challenges for (US-based) MNCs when entering Cuba and discusses strategies to manage these challenges.

The authors provide an application of institutional theory in the specific context of Cuba and so demonstrate the value of applying this theoretical lens to better understand the local legitimacy processes in this particular emerging market environment.

This study presents a framework of strategies (US-based) MNCs may use to inform their entry strategies into the Cuban market, based on an analysis of the local institutional environment, legitimacy pressures and constituencies able to grant or withdraw the approval and support of foreign MNCs.

This paper is an original application of institutional theory to the emerging market of Cuba using a qualitative research approach, and so contributes to an emerging stream of research studying this market context from an academic and practical perspective.

This paper aims to analyze the characteristics of Brazilian micro and small businesses (MSBs) and the main lessons derived from the largest small business innovation support program in the country, the Local Innovation Agents – Agentes Locais de Inovação (ALI) Program.

In total, 34 papers were selected from the Web of Science and Scopus databases (28), as well as from the Revista de Administração e Inovação – RAI (6), a seminal Brazilian innovation journal. The papers were analyzed in terms of the regional context, methodological approach and main findings. Regional complementary analyzes of some program figures were also performed by Spearman correlation and Wilcoxon signed-rank tests.

The review revealed a low innovation level among Brazilian MSBs and that the platform (incremental product) and brand (marketing) innovation dimensions were the most developed across different regions and industries. Reviewed papers also showed that all MSBs were able to improve innovation over the program independent of previous management and innovation levels, besides positive relationships between management and innovation. The complementary analysis provided a regional panorama of the program figures and corroborated MSBs innovation improvement.

This review analyzed relevant papers and figures related to the program, summarized main lessons and provided future research venues.

Different innovation strategies reviewed may be implemented by MSBs owners. Policymakers may also benefit from the program experience.

Despite the high number of publications and the relevance of the largest Brazilian innovation support program, there were still no literature reviews comprehending the diverse lessons derived from the ALI Program, as well as a regional panorama of the program figures.

The purpose of this study is to develop a lower bainite structure consists of a dispersion of fine carbide inside plates of bainitic ferrite from chemical composition unmodified conventional pearlitic steel under bainitic transformation and to investigate its effect on tensile properties and wear resistance.

A commercial hypereutectoid pearlitic rail steel was subjected to three different bainitic transformation treatments followed by tempering to develop a desirable microstructure with a DIL805 BÄHR dilatometer. A comprehensive microstructural study was performed by scanning electron microscopy and energy dispersive x-ray spectroscopy. Finally, the mechanical properties and wear resistance were evaluated by tensile, microhardness, and pin-on-disc tests.

The results showed that the best combination of mechanical properties and sliding wear resistance was obtained in the sample subjected to bainitic transformation at 300°C for 600 s followed by tempering at 400°C for 300 s. This sample, which contained a bainitic ferrite structure, exhibited approximately 20% higher hardness and approximately 53% less mass loss than the as-received pearlitic sample due to the mechanically induced transformation in the contact surface.

Although pearlitic steel is widely used in the construction of railways, recent studies have revealed that bainitic transformation at the same rail steels exhibited higher wear resistance and fatigue strengths than conventional pearlitic rail at the same hardness values. Such a bainitic microstructure can improve the mechanical properties and wear resistance, which is a great interest in the railway industry.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2019-0282/

The purpose of this paper is to review extant literature to identify models intended to measure/classify intellectual capital (IC) to establish the current body of knowledge that has been built since the review by Marr et al. (2004).

The study consists of a systematic review of peer-reviewed articles on IC classification. The review was conducted for the period 2004-2014 in order to reach the aim. To ensure that all major models are included, important works developed prior to 2004 were captured as well.

The review resulted in 83 additional models indicating continued research activities with regard to the topic. These models were merged with prior IC models and mapped on a timeline. The timeline clarifies that 2008, 2010, 2011, 2012 and 2013 represent the years of greatest research activity (outcomes). Additionally, the analysis of the list of IC frameworks resulted in the development of an IC Meta model. It synthesizes research activities in the field and highlights the main IC dimensions and sub-dimensions.

This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of IC classification. Yet, it seems reasonable to assume that the review process covered a large proportion of studies available.

By aggregating and consolidating the IC frameworks covered, the study does not only provide an IC Meta model, but also promising directions for future research.

The Six Sigma project aims at a continual reduction in process variation, eliminating defects or flaws in products and services, optimizing processes and reducing costs. The purpose of this study is to demonstrate improvements in customer service index (CSI), product cycle time and inventory turnover after implementation of a Six Sigma project.

This research focused on the value stream mapping of a company process, performed by a multidisciplinary team that implemented a pull production system, the standard operational procedure in machines that were process bottlenecks, and the kanban system.

After three months of implementation, the authors observed an 11.7 percent reduction in product cycle time, increase in customer service index (CSI) from 93.9 to 97 percent and increase in inventory turnovers from 4.9 to 9.

The project was in accordance with the competitive strategy of the company, which is focused on customer satisfaction and cost reduction.

This paper aims to review research on the topic of knowledge leakage to establish the current body of knowledge and, on this basis, to suggest some promising avenues for future research.

The study consists of a systematic review of 57 refereed empirical articles on knowledge leakage.

The findings contribute to a more holistic view of the topic and complement the study of knowledge management. Additionally, a conceptual framework is proposed that aims at guiding and informing future research activities.

This study may not have enabled a complete coverage of all empirical articles in the field of knowledge leakage. Yet, based on the chosen research methodology, it seems reasonable to assume that the review process covered a large share of studies available.

To the best of the authors’ knowledge, no systematic literature review on knowledge leakage has previously been published in academic journals.

This study aims to identify sustainability indicators in the energy sector through a literature review and validate them from the perspective and context of professionals working in the sector in an emerging economy country, Brazil, considering the relationship of these indicators with the achievement of the targets set by the United Nations sustainable development goals (UN SDGs).

To accomplish this, a literature review on sustainability indicators specific to the energy sector was conducted. Subsequently, a research instrument (questionnaire) based on the identified indicators was developed and a survey was administered to professionals in the field. The collected data were analyzed using the Lawshe method.

The results revealed 20 indicators, distributed across environmental, economic and social dimensions. Among these, nine indicators were validated, including global impacts, local impacts, renewable energy production as a percentage of total production, greenhouse gas emissions, access to electricity, investment in the energy sector, installed capacity in the electricity sector, energy prices in the end-use sector and energy distribution and conversion efficiency.

Consequently, it was possible to determine which SDGs are directly impacted and provide a foundation for future actions that can contribute to the sustainable advancement of the energy sector in emerging countries.