Contemporary Industry Research Articles

Industry 4.0 and Biotechnology: Strategies For Innovation snd Sustainability

Objective: The study investigated the intersection between Industry 4.0 and biotechnology, with the aim of analyzing how these areas converge to promote innovation and sustainability in contemporary industry. Methodology: An integrative review approach was adopted, using several SciELO and Google Academic databases As an inclusion criterion, Brazilian articles were selected in Portuguese and published between 2020 and 2023. Results and data analysis: The results highlighted significant advances, such as advanced automation, artificial intelligence and 3D printing in Industry 4.0, that not only optimize industrial production, but also strengthen sustainable practices by reducing waste and improving the use of natural resources. Biotechnology has emerged as an essential pillar, offering solutions such as bioprinting and cellular therapies, expanding the possibilities for sustainable product development. Despite the benefits, ethical and regulatory challenges have been identified that require appropriate government policies and innovation strategies to ensure the ethical use of these technologies. Conclusion: In conclusion, the convergence between Industry 4.0 and biotechnology not only redefines modern industry standards, but also establishes a new sustainable innovation paradigm, contributing to a more responsible and competitive future globally.

Mastering Business Planning and Strategic Development: Comprehensive Approaches for Achieving Long-Term Success and Competitive Advantage

Mastering company planning and strategy development was essential in today’s dynamic corporate landscape to ensure long-term success and sustain a competitive advantage. This reviewed article consolidates current research and case studies to examine complete strategies that organisations use to improve their strategic capabilities. The research highlighted the significance of incorporating real-time data analytics, adaptable goal-setting frameworks, and new technologies like artificial intelligence and machine learning into strategic planning processes. Agile approaches were crucial for iteratively implementing plans, and promoting the capacity to adapt and respond to changes in the market. Moreover, the study emphasised the need to implement continuous evaluation frameworks that included real-time monitoring and feedback loops to guarantee the continual improvement of strategies. This study also investigated the impact of leadership and organisational culture on promoting strategic agility and continuous improvement. The results indicated that an integrated strategy, in which research, goal-setting, execution, and evaluation activities were interrelated, was crucial for the development of efficient and relevant corporate strategies. By adhering to these suggestions, organisations may more effectively traverse the intricacies of the contemporary industry, guaranteeing long-term success and a strong competitive edge. Keywords: Business planning, Strategic Development, Competitive advantage, Real-time data analytics, Flexible goal-setting.

Anatomy of a film industry Redux: Notes on the West Australian case (1969–1993)

ABSTRACT Using the Western Australian (WA) film industry as a case study, this article revisits the framework proposed by Susan Dermody and Elizabeth Jacka in their anatomy of a film industry project. Acknowledging the power of Dermody and Jacka’s work, the article highlights a lack of detail surrounding the WA case. Drawing on the idea of an ‘imaginary’ industry as a key construct, it argues that a modified version of the framework is needed to account for the WA case, especially at the organizational level. The article proposes that the period 1969/70 to the present can be analysed in terms of three distinct eras and focuses on the first two (1969–1983; 1983–1993). It discusses the organization of film industry policy according to a logic of industry development, and a persistent tension between constructions of industry as production and culture. It gathers the extant scholarly resources for an anatomy of the WA industry (including works by Brian Shoesmith, Tom O’Regan, Tim Fetherstonhaugh, Vincent O’Donnell and others). Drawing on this writing, this article represents a belated contribution to the anatomy of a film industry project and a call to action in relation to the analysis of contemporary industry discourse in WA.

Integrated two-stage multi-factory assembly scheduling with maintenance considerations

ABSTRACT In the dynamic landscape of contemporary industry, integrating maintenance practices with production scheduling is essential for sustaining operational efficiency and competitiveness. This study addresses a two-stage multi-factory assembly scheduling problem, introducing an innovative approach that incorporates maintenance practices to enhance system reliability in the face of unexpected machine failures. For deterministic scheduling, a tailored mixed-integer programming model is presented to minimise the makespan. This model is extended to formulate a stochastic schedule, accommodating unforeseen machine breakdowns through stochastic distributions. The extension includes the integration of preventive and corrective maintenance activities into an integrated two-stage multi-factory assembly scheduling problem. To solve the resulting optimisation problem, a decomposition algorithm utilising an exact solver is proposed. This approach breaks down the main model into smaller models, addressing computational challenges. Comparative analyses against the widely adopted CPLEX software across various instances validate the effectiveness of our approach. A significant finding from this comparison is that our decomposition algorithm outperforms the exact solver, achieving the optimal solution at a faster rate. In sensitivity analyses, the results underscore the superior solution-finding capability of our integrated stochastic model compared to maintenance heuristics from existing literature.

Advances in manufacturing of carbon-based molecular nanomaterials based on rice husk/hull waste

This review highlights potential application areas for carbon-based molecular nanoparticles, such as carbon dots, carbon nanotubes, graphene quantum dots, and carbon quantum dots. The success of nano-manufacturing hinges on robust collaboration between academia and industry to advance applicable manufacturing techniques. Choosing the right approach is crucial, one that integrates the carbon base of nanomaterials with the required properties and impurities, as well as the scalability of the process. Molecular, in this context, refers to the nanoscale carbon structures that form the basis of these materials, including their arrangement, bonding, and properties at the molecular level. The article also explores the characterization of different types of molecular nanomaterials. Nanomaterials are increasingly used in almost every contemporary industry, including construction, textiles, manufacturing, and computing. This article reviews the most prominent sectors globally that employ nanomaterials. Biomasses containing lignin, cellulose, and hemicellulose have become some of the most extensively studied. Initially, rice waste was utilized for bulk materials, but lately, the production of multifunctional materials has surged in interest. Carbon nanostructures derived from rice waste offer a broad spectrum of applications and enhanced biocompatibility. Recent advancements, challenges, and trends in the development of multifunctional carbon-based nanomaterials from renewable rice waste resources are considered.

Two-Dimensional Ferroelectric Materials: Synthesis, Characterization and Applications

In recent years, the continuous advancements in microelectronics have driven the evolution of electronic devices towards miniaturization and integration. However, at the nanoscale level, surface and size effects become significant, imposing constraints on the use of conventional bulk ferroelectric materials in contemporary industry. As a result, in the field of materials research, two-dimensional (2D) ferroelectric materials with stable spontaneous polarization and minimal size effects have gained significant attention. These novel 2D ferroelectric materials have great potential for future nano-level ferroelectric applications, enabling high levels of device integration. To begin with, this paper divides 2D ferroelectric materials into two categories: intrinsic ferroelectrics and sliding ferroelectrics. It also discusses the features and current state of research on each of these categories. Next, typical 2D ferroelectric material preparation and characterization techniques are outlined. Additionally, 2D ferroelectric memory devices like ferroelectric diodes (FD), ferroelectric field effect transistors (FeFET), ferroelectric semiconductor field-effect transistors (FeSFET), and ferroelectric tunnel junctions (FTJ) are introduced. Finally, this review also presents expectations and potential challenges in the domain of 2D ferroelectric materials.

Wake up and search for coffee: Considering the circadian rhythm of consumers on online marketplaces

Online marketplaces are characterised by rapid product updates and understanding consumer variety-seeking behaviour (VSB) is paramount for brands operating in this landscape. The literature, however, has fallen short of considering that consumers’ optimal stimulation level (OSL) may vary based on their degree of stimulus–response to the heterogeneity of circadian rhythm. We draw upon the OSL theory and delve into the interplay between VSB and circadian rhythm heterogeneity, uncovering patterns and their relationship for data-driven decision-making. By employing real-world data from an online marketplace, we reveal that VSB peaks in the early mornings, while gradually tapering off. We also find that older consumers exhibit heightened VSB in the afternoons and early mornings compared to younger ones. Conversely, during the evenings, males display greater VSB than females. Our findings contradict existing theoretical intuition and contemporary industry practices, while by considering them, brands can gain a competitive advantage on online marketplaces.

Synergistic Catalysis of Water-Soluble Exogenous Catalysts and Reservoir Minerals during the Aquathermolysis of Heavy Oil.

Oil serves as the essential fuel and economic foundation of contemporary industry. However, the use of traditional light crude oil has exceeded its supply, making it challenging to meet the energy needs of humanity. Consequently, the extraction of heavy oil has become crucial in addressing this demand. This research focuses on the synthesis of several water-soluble catalysts that can work along with reservoir minerals to catalyze the hydrothermal cracking process of heavy oil. The goal is to effectively reduce the viscosity of heavy oil and lower the cost of its extraction. Based on the experimental findings, it was observed that when oil sample 1 underwent hydrothermal cracking at a temperature of 180 °C for a duration of 4 h, the amount of water added and catalyst used were 30% and 0.2% of the oil sample dosage, respectively. It was further discovered that the synthesized Mn(II)C was able to reduce the viscosity of oil sample 1 by 50.38%. The investigation revealed that the combination of Mn(II)C + K exhibited a significant synergistic catalytic impact on reducing viscosity. Initially, the viscosity reduction rate was 50.38%, which climbed to 61.02%. Subsequently, when catalyzed by the hydrogen supply agent isopropanol, the rate of viscosity reduction rose further to 91.22%. Several methods, such as freezing point analysis, thermogravimetric analysis, DSC analysis, component analysis, gas chromatography, wax crystal morphology analysis, and GC-MS analysis, were conducted on aqueous organic matter derived from heavy oil after undergoing different reaction systems. These analyses confirmed that the viscosity of the heavy oil was decreased. By studying the reaction mechanism of the model compound and analyzing the aqueous phase, the reaction largely involves depolymerization between macromolecules, breakdown of heteroatom chains, hydrogenation, ring opening, and other related consequences. These actions diminish the strength of the van der Waals force and hydrogen bond in the recombinant interval, impede the creation of a grid-like structure in heavy oil, and efficiently decrease its viscosity.

Creative-aesthetic product design and tools

Providing a product with characteristics of beauty and creative innovation is one of the aims of any contemporary industry to meet the needs of customers and satisfy their aesthetic and functional requirements. To study the production process and the realisation of creative products with aesthetically pleasing attributes, we created an environment that allows the construction of simple textured polygons (triangles, squares, rhombuses and pentagons) through a software application. To overcome traditional ways of assessing creative products, a Birkhoff aesthetic measure, Euclidean distance and entropy measure have been developed and applied to a sample of smart products, manufactured in the implemented environment, to analyse their aesthetic, creative and order–complexity–chaos features, respectively. The results provided us with measurable quantities of the required qualities for the sample and for each distinct product, combining the metrics to visualise the creative products in 2D and 3D spaces. Further mathematical methods, such as the point process and density probability map applied on the same sample, allowed us to move from a statistical space to probabilistic landscapes, with enhanced forecasting capability on creative features for all future products. Industrial applications are expected in the production and evaluation of products from a creative point of view.

Effects of the Human Presence among Robots in the ARIAC 2023 Industrial Automation Competition

ARIAC is a robotic simulation competition promoted by NIST annually since 2017, aiming to present competitors’ with contemporary industry problems to be solved using agile robotics. For the 2023 competition, ARIAC competitors must perform assembly and kitting tasks by controlling four autonomous ground vehicles (AGVs), one floor-based robot, and one ceiling-based (Gantry) robot in an attempt to overcome a range of agility challenges in the supplied simulated environment, itself based on the Robot Operating System (ROS 2) and Gazebo. The 2023 competition also included a “human” agility challenge, comprising a (simulated) human operator working among robots on the factory floor. This development was motivated by the fact that, while robots and automation play an increasingly significant role in modern manufacturing, there still remains a close relationship between machines and humans. They should complement each other’s strengths and cover each other’s limitations while also observing any required safety rules. For example, the ISO standard “Robots and Robotic Devices – Collaborative robots” (ISO 15066:2016) prescribes the distances required between humans and robots. Within the ARIAC simulation environment, each human operator is controlled using autonomous Belief-Desire-Intention (BDI) agents. At the same time, competitors can monitor the position of each human operator at any time by subscribing to the relevant ROS topic. In this article, we analyse the effects of this (simulated) human presence in the 2023 ARIAC competition and perform a detailed analysis of how the three different human personalities that were implemented affect the assembly tasks undertaken at the four different locations of the assembly stations. Given how the system is currently implemented, it appears that the influence of each encoded personality on the competitors is not as predictable as anticipated. We expand on why this may be a problem when addressing real collaborative spaces involving humans and industrial robots and the improvements that can be undertaken to mitigate the ensuing problems.

ASSESSING THE PROFITABILITY OF SMALL AND MEDIUM-SIZED WOOD FURNITURE BUSINESSES IN ETHIOPIA

This study focuses on the issue of profitability within the small and medium wood industries in Ethiopia. Profitability stands as a cornerstone for the advancement of contemporary industries and is a pressing concern for policymakers. The primary aim of this study is to determine the level of profitability and the factors influencing it in small and medium-scale wood enterprises. To conduct the study, four key cities - Addis Ababa, Bahir Dar, Hawassa, and Jima - were purposively selected. Data were gathered from 170 industries across these cities and subjected to analysis, yielding pertinent results. As expected, the wood industries in Ethiopia lacking profitability and among the 170 surveyed, 59.4% industries were not profitable. This is because majority of workers in Ethiopia's wood industry lack formal or on-the-job training both prior to and during employment. Moreover, the machinery and equipment they operate are outdated, and they lack the necessary skills for their proper utilization. Additionally, challenges such as insufficient raw materials, limited capital, and poor market connections were identified as significant obstacles to profitability. To tackle these challenges and bolster profitability, continuous technical and managerial training for workers, financial assistance for acquiring modern machinery, enhancements in production processes, sales strategies, and market linkage facilitation are recommended.

An experimental study on the thermal efficacy, combustion and exhaust characteristics of a CRDI CI engine fueled with a novel pedicel biodiesel

<p>In contemporary industrialization, the prevalent occurrence of energy crises and emissions poses significant challenges, necessitating the exploration of alternative fuel sources and the implementation of measures to minimize hazardous emissions. These efforts are crucial for attaining the sustainable development goals set forth by the United Nations. The current study is to empirically examine the effects of a newly developed biofuel on the operational characteristics of a CRDI engine this investigation will involve the utilization of different mixtures of pedicel oil at various brake mean effective pressures. The generation of oil from bio-waste collected from industry in Guntur Mirchi-yard, pedicel of dried hot paprika or chili using Soxhlet extraction method. After the synthesis, the characterization of Pedicel bio-oil (PBO) is done using gas chromatography-mass spectrometry (GCMS) and results are estimated using standard ASTM methods. After characterization, bio-oil is converted to pedicel bio-diesel (PBD) using a transesterification process. When the engine was operated using a combination of 80% diesel and 20% pedicel oil (referred to as the D80B20 blend), it resulted in a notable improvement in brake thermal efficiency by 1.6%. Additionally, this blend led to a reduction in emissions of oxides of nitrogen by 6.7%. However, it is worth noting that smoke levels marginally increased under full-load conditions with a 500 bar fuel injection pressure (FIP). The D80B20 fuel mixture exhibited a 7% reduction in hydrocarbon emissions compared to pure diesel fuel when the engine was operating at maximum load with an ignition timing of 23 ̊ before the top dead center. This numerical analysis clearly shows that D80B20 at IT 23 ̊ bTDC and FIP 500 bar give better results. Although it doesn't need any engine adaptations, the biodiesel made from leftover chili pedicel is a viable diesel replacement fuel.</p>

Fiber Bragg grating guided laser interferometer-based highly sensitive vacuum pressure sensor

Vacuum sensing and metrology pave the way for promising solutions to fulfill the scientific and technological demands of various contemporary industries and research fields. This study introduces an innovative vacuum pressure sensor, employing a fiber Bragg grating (FBG) guided Michelson interferometer. The sensor works on the principle of interferometric measurement of precisely gauging the displacement of an elastic diaphragm with pressure variation connected to a vacuum chamber in terms of interference fringe counts due to arm-length variation of the interferometer. The elastic silicone diaphragm and stainless steel cantilever, being critical components of the sensor, were examined using finite element analysis and subsequently demonstrated experimentally. The diaphragm’s position is continuously monitored in real time through the Bragg’s wavelength of the FBG, continuously updating the interferometer after each 15 ms for the accurate measurement of fluctuating vacuum pressures. The strain-induced shift in the FBG’s Bragg wavelength follows a linear trend with pressure variation, exhibiting a sensitivity of 12.7 pm/mbar. With a dynamic range spanning 0.05–100 mbar, the sensor demonstrates a sensitivity of 16.073 fringe counts/mbar and a notable resolution of 0.3364 mbar. Moreover, the sensor exhibits good repeatability, with a hysteresis of up to 2.59% during full span cyclic operation. The coupling of the interferometer with FBG makes it a unique secondary standard solution for precision vacuum measurement.

Modeling of Wire EDM Using an Integrated Approach for Machining of AISI304 Stainless Steel

A non-traditional method of thermal machining called wire electrical discharge machining (WEDM) is utilized for the production of intricate and complex components, particularly those composed of difficult-to-machine materials. Stainless steel has gained widespread usage in various applications in contemporary industry owing to its exceptional properties. In this present investigation, a numerical 3D finite element modeling simulation was conducted using the ABAQUS software to analyze the Material Removal Rates (MRR) for both single and multi-discharge scenarios of AISI 304 stainless steel. The findings indicate a close correspondence between the MRR values predicted by the numerical modeling and those obtained experimentally corresponding to the optimal process parameters: I = 6 A, Ton = 45 s, and Toff = 5 s. Hence, this numerical approach offers the potential to forecast outcomes before actual machining operations.

Contribution of Twenty-first Century Leadership to the Employees’ Innovative Work Behavior: A Systematic Literature Review

Employee innovative work behavior drives the generation of new ideas, which in turn fosters organizational innovation and competitiveness. Many elementsinfluence this behavior, the most important being the leadership. The term"innovative work behavior" has evolved, and this has led to a great deal ofresearch looking into different leadership roles and how they affect employeeinnovation. The research on leadership in the context of employee creativity andinnovation is extensive and encompasses more than one hundred leadershiproles from various viewpoints. Undertaking a Systematic Literature Review (SLR)in this field is essential to establishing future leadership strategies that effectivelytackle the intricate problems of contemporary industries. The 608 empirical studiesincluded in the current SLR were retrieved from the reputable databases Scopusand Web of Science. These studies investigated how leadership in primary,secondary, and tertiary industries foster employee creativity and innovation. Threekey themes are identified by the study: a comprehensive evaluation of variousleadership studies; an industry-specific analysis that reveals a narrow focus in theprimary sector; and an investigation of the transformational, transactional, andhybrid leadership styles. The SLR established taxonomies to classify previousresearch, identify unexplored domains, and direct the selection of variables forsubsequent research. In the era of digitalization, the conventional dominance oftransformational and transactional leadership is under threat from the need fornovel approaches to problem-solving. The literature emphasizes the importance ofadaptive leadership styles and the shortcomings of old leadership paradigms intackling contemporary issues. The study followed five steps SLR method fromformulating the research topic, carrying out an exhaustive search, putting inclusionand exclusion criteria to use, picking and extracting data from pertinent studies,and to presenting and analyzing the results. The synthesis of a large body ofresearch in this SLR makes a substantial contribution to our knowledge of the rolethat leadership plays in employee creativity. The identification of underexploredindustries requires targeted research efforts to address opportunities andconstraints unique to the primary industry, particularly in the agriculture sector.This can be accomplished by categorizing leadership styles, recognizing markettrends, and recommending taxonomies for further investigation. In conclusion, thisstudy offers valuable insights for developing effective leadership strategies thatfoster innovative work behavior and accelerate organizational innovation in thetwenty-first century

The ‘Wellbeing Wardrobe’ as a tool to promote just transitions in the fashion and textile industry

ABSTRACT In this paper we discuss the pressing need for a just transition in one of our most environmentally and socially problematic contemporary industries: the fashion and textiles industry. We detail the current injustices in the industry, from both environmental and socio-economic standpoints, and then move on to providing some suggestions as to how these entrenched problems with the industry could be addressed. Specifically, we identify five key action areas that could take us towards a just transition for the fashion and textiles industry: establishing limits, developing new indicators, promoting fairness, implementing just modes of governance, and creating new exchange systems. We propose policy interventions in each of these five action areas and discuss how they could practically be put into practice. In doing so, we develop a novel theoretical concept for a more just version of the global fashion industry: the ‘Wellbeing Wardrobe’, which draws on wellbeing economics and de-growth thinking applied to the contemporary fashion industry.

Application of artificial intelligence in retail

In the context of the contemporary Industry 4.0 concept, artificial intelligence (AI) has become an integral component of human lifeʼs success, the impact of which is increa­singly difficult to overestimate today. With the advent of AI, the everyday life of individuals has noticeably transformed. Neural networks are capable of working in an algorithmic way, adapt, learn, and even generate new inven­tions within a short span of time. Since the concept of AI appeared, fervent debates have revolved around its advantages and opportu­nities for modern society, ethical frameworks of application, risks, and the negative impact of AI on various professional spheres. However, the revolutionary changes brought about by AI, enabling individuals to delegate routine tasks and freeing up time for creative endeavors, remain indisputable. Despite the high significance of previously conducted research, the state and potential opportunities of industrial application of AI remain insufficiently explored. The purpose of the study is to determine the current trends in the development of artificial intelligence, to assess the actual state of use and to justify recommendations for the future use of AI systems in the retail sector. It has been deter­mined that the introduction of AI technologies is a modern global trend and one of Ukraineʼs priorities. It has been proven that the complex realities of domestic retail development unveil opportunities for digital transformation and the intensification of AI implementation. The current state of AI development has been examined: the leading countries in artificial intelligence implementation have been identified, and the retail sector has been ranked fourth among industries with high potential for the application of advanced technologies. To gain an understanding of AI development in retail, a survey was conducted, the results of which delineated business processes where AI techno­logies are actually applied and specified the goals of their application. The priority opera­tional processes of retail enterprises for the implementation of advanced technologies have been identified and ranked by the significance of AI systems, which are most relevant to modern retail. A list of AI systems has been sorted according to their purpose and functional capa­bilities in retail.

SoC-FPGA Based Concept of Hardware Aided Quantum Simulation

Contemporary industry and science expectations towards technological solutions set the bar high. Current approaches to increasing the computing power of standard systems are reaching the limits of physics known to humankind. Fast, programmable systems with relatively low power consumption are a different concept for performing complex calculations. Highly parallel processing opens up a number of possibilities in the context of accelerating calculations. Application of SoC (System On Chip) with FPGA (Field-Programmable Gate Array) enables to delegate of a part of computations to the gates matrix, thereby expediting processing by using parallelization of hardware operations. This paper presents the general concept of using SoC FPGA systems to support CPU (Central Processing Unit) in many modern tasks. While some tasks might be really hard to implement on an FPGA in a reasonable time, the SoC FPGA platform allows for easy low-level interconnections, and with such virtualized access to the hardware computing resources, it is seen as making FPGAs, or hardware in general, more accessible to engineers accustomed to high-level solutions. The concept presented in the article takes into account the limited resources of cheaper educational platforms, which, however, still provide an interesting and alternative hybrid solution to the problem of parallelization and acceleration of data processing. This allows to overcome encountered limitations and maintain the flexibility known from high-level solutions and high performance achieved with low-level programming, without the need for a high financial background.

Contextual Knowledge Framework in CAD Education from the Perspectives of Practicing Engineers

The contemporary industry landscape requires engineering graduates to have expertise in utilizing advanced Computer-Aided Design (CAD) tools. However, prevailing practices reveal a lack of contextual knowledge among Mechanical Engineering undergraduates and fresh graduate engineers in effectively employing 3D CAD modelling software for optimal product design development. Consequently, this study was undertaken to address this issue, with a specific focus on the integration of contextual knowledge into 3D CAD modelling. The study aims to elucidate the fundamental elements of contextual knowledge regularly employed by practicing engineers in their daily design endeavours, specifically in 3D CAD modelling. A transcendental phenomenology approach was used, and four engineers from the engineering department of a shipbuilding company in Peninsular Malaysia were purposefully selected as respondents. The analysis yielded three recurring themes central to the application of contextual knowledge in visualizing and presenting models through 3D CAD modelling: Realization, Design Intention, and Normalization. These elements are pivotal in assisting engineers in contextualizing their design work during the modelling and presentation stages of the new product development process.

Reorienting Design Towards a Decolonial Ethos: Exploring Directions for Decolonial Design

ABSTRACT: Contemporary Industrial Design, as professional and academic practice, exists intertwined with the global hegemonic power structures of coloniality (Buckley 1986; Escobar 2018a; Mareis and Paim 2020). Problematizing this situatedness, the effort of Decolonizing Design emerges as a twofold effort: first to unlink it from this structure, opening up for diverse understandings of Design and, second, to remove oppressive behaviors from Design. In this paper we present a decolonial intervention in an Industrial Design education in the Global North as an exploration of how to shift Design towards decolonial emancipation. From this project, we suggest the categories of listening, learning, and loving as guidelines for decolonizing Design. We conclude arguing that the work necessary to dismantle Design as we know it and explore decolonial directions demands that we continually work to break and counterbalance the allegiance to its Eurocentrism and oppressive ways of working.