Enterprises must become ‘sensing, smart and sustainable (S³)’ to face global challenges related to local, national and global market dynamics. Therefore, reconceptualisation and redesign in these enterprises must accommodate emergent technologies, new practices and strategies. In this sense, enterprises have used new product development as a strategy for remaining competitive in the marketplace; thus, they can provide a new generation of products offering solutions to contemporary social problems and responding to changing consumer demands. These new-generation products are mostly technology-based and consider sustainable objectives. In this context, concepts such as sensing, smart and sustainable products (S³ products) have emerged to satisfy different social requirements. Therefore, this work focuses on providing a reference framework that presents a systematic process for the development of S³ products. This reference framework is based on the integrated product, process and manufacturing system development reference model. The main objective of this work is to fill the gap vis-à-vis the current lack of design roadmaps that permit the development of this new generation of products in S³ enterprises. The development of a reconfigurable micro-machine tool is presented as that of an S³ product.

Introduction. Teaching industrial engineering in the second decade of the 21st century requires problem-solving and decision-making competencies oriented towards sustainable development. The growth of information metrics, the Internet of Things, virtual and augmented reality, and Artificial Intelligence bring more diverse, complex and imprecise challenges. This article aims to show a framework employing Challenge-based-learning, Project-based-learning and Computer-Aided technologies as dynamic resources supporting the comprehensive teaching of industrial engineers for industrial solutions oriented towards sustainable development. Materials and Methods. Our research involved a systemic analysis of the framework variables, the stages, and the partial results of its application in three academic years research. We selected several case studies to evaluate the professional competencies related to Sustainable Development Goals of industrial engineering students, using active learning tools integrated with Computer-Aided technologies. These cases illustrated the acquisition of Sustainable Development Goals competencies. Two simultaneous Latin American scenarios were examined (Mexico and Cuba). Results. Its main contribution is an appropriate framework for using Challenge-based-learning, Project-based-learning and Computer-Aided technologies as resources to develop professional competencies in industrial engineering and sustainable development. The control groups results demonstrate the utility, relevance, and accuracy of the proposed framework. Results. Its main contribution is an appropriate framework for using Challenge-based-learning, Project-based-learning and Computer-Aided technologies as resources to develop professional competencies in industrial engineering and sustainable development. The control groups results demonstrate the utility, relevance, and accuracy of the proposed framework. Discussion and Conclusion. The study of the theoretical and methodological components of teaching Industrial Engineering, emphasizing competencies, at two universities in Latin American countries revealed the need to understand Computer-Aided technologies as a complex process. The proposed framework considers Computer-Aided technologies per the typologies of selected competencies integrated into the curricular design, including Challenge-based-learning and Project-based-learning, oriented toward the Sustainable Development Goals. The authors’ conclusions contribute to the development of active learning methods in engineering, supported by the application of CAD/CAM/CAE tools and focused on the fulfillment of sustainable development objectives. The materials of the article will be useful for the teaching of Industrial Engineering from a digital transformation perspective, contextualized in sustainable development environments.

In the present, the technology related to the micro/meso manufacturing is promising as a key enabling technology for maximizing high value manufacturing. This paper addresses a new methodology to design reconfigurable micro/mesoscale CNC machine tools in the integrated product, process, and manufacturing system development context. This is followed by a description of the design of a reconfigurable two-axis first-generation test bed CNC micromachine tool that was developed to assess the feasibility of the new design method. The test bed utilizes a high-speed miniature spindle that is required to obtain appropriate cutting velocities for the efficient cutting of metals, use micro-actuators for the axis movements and open-architecture controllers, in order to guarantee the reconfigurability properties of the micromachine. Results indicate the new methodology enhances the design of reconfigurable micro/mesoscale CNC machine tools in the integrated product, process, and manufacturing system development context, following the prescriptive models of design.

The development of biomedical devices has improved the quality of life for millions of people. The increase in life expectancy generates an increase in the demand for these devices. One of the most used materials for these purposes is 316 L austenitic stainless steel due to its mechanical properties and good biocompatibility. The objective of the present investigation was to identify the dependence between the main cutting force, the initial speed of the tool wear, the surface roughness, and the parameters of the cutting regime. Based on these dependencies, a multi-objective optimization model is proposed to minimize the energy consumed and initial wear rate, as well as to maximize productivity, maintaining the surface roughness values below those established by the ISO 5832-1 standard. The wear of the cutting tool was measured on a scanning electron microscope. For the optimization process, a genetic algorithm based on NSGA-II (Non-nominated Sorting Genetic Algorithm) was implemented. The input variables were the cutting speed and the feed in three levels. The cutting force and surface roughness were set as restrictions. It is concluded that the mathematical model allows for the optimization of the cutting regime during dry turning and with the use of MQL (Minimum Quantity Lubrication) with BIDEMICS JX1 ceramic tools (NTK Cutting Tools, Wixom, MI, USA), of AISI 316 L steel for biomedical purposes. Pareto sets and boundaries allow for choosing the most appropriate solution according to the specific conditions of the workshop where it is applied, minimizing the initial progression of tool wear and energy consumed, and maximizing productivity by guaranteeing the surface roughness values established for these types of parts according to the standard.