A problem facing the product development community is developing simultaneous solutions of response variables (to several properties) that depends on a number of independent variables or sets of responses. Harrington, among others, addressed this problem and presented a desirability function with a functional approach. Derringer and Suich altered their approach and illustrated how multiple variables can be transformed into a convenience function. This work redid the calculation performed by them using another software and made a comparative discussion of the results found.

The history of industry is marked by four industrial revolutions, and society is now in the consolidation of its fourth, which provides opportunities for sustainability, such as reduction in environmental impact and social inclusion. This article aims to identify the main authors, countries, articles, and research gaps on the theme "Industry 4.0 and Corporate Sustainability"; and to draw up a mind map with the research trends, through the analysis of the documents that are indexed in the Scopus database. Among the main trends that were identified in this article are: Industry 4.0 as a tool to support sustainability; Intersection and boundaries between sustainability and industry 4.0; Development of industry 4.0 along the lines of sustainability; Management applied in sustainable industry 4.0. The main contribution applied was the exposure of the possibilities that companies can implement, both in relation to sustainability in the development of innovative technologies, and the use of technologies to strengthen the pillars of sustainability.

The history of industry is marked by revolutions, the Fourth Industrial Revolution provides opportunities for sustainability, and means to reduce environmental degradation and social inclusion. This article aims to identify which factors impact the sustainability of an organization. The exploratory research was carried out by means of literature review and bibliographic research to achieve the objective of conducting a bibliometric study, identifying the evolution of publications, and the authors that make up this field of knowledge. It is necessary for companies and industries to be introduced to the global changes that Industry 4.0 has introduced in the manufacturing environment, making it possible to develop sustainable processes and products.

This study aimed to identify and present applications of statistical methods in problems of agricultural and environmental nature. To achieve this objective, applied research of exploratory and quantitative nature was carried out. Two case studies were adopted as method and technical procedures. As a contribution to this research, the use of statistical methods in problem solving and as a tool for decision making is pointed out.

Metaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about processes related to optimisation and metaheuristics, with a focus on the projection of those issues with greater possibility of development. Optimization processes is one of the most studied fields in artificial intelligence, optimization, logistics, and other applications The main contributions of this work were the identification of the main issues contained in the themes of process optimization and metaheuristics; an analysis of the expansion and retraction of the aforementioned theme; an understanding of convergence and divergence; and an analysis of the stages of development as presented in the gaps of the fifty most commonly mentioned articles. The main finding was to analyze the development of research topics on optimization processes and metaheuristics, focusing on projecting the topics most likely to develop.