How Industry 4.0 and Sensors Can Leverage Product Design: Opportunities and Challenges

Abstract

The fourth industrial revolution, also known as Industry 4.0, has led to an increased transition towards automation and reliance on data-driven innovations and strategies. The interconnected systems and processes have significantly increased operational efficiency, enhanced organizational capacity to monitor and control functions, reduced costs, and improved product quality. One significant way that companies have achieved these benefits is by integrating diverse sensor technologies within these innovations. Given the rapidly changing market conditions, Industry 4.0 requires new products and business models to ensure companies adjust to the current and future changes. These requirements call for the evolutions in product design processes to accommodate design features and principles applicable in the current dynamic business environment. Thus, it becomes imperative to understand how these innovations can leverage product design to maximize benefits and opportunities. This research paper employs a Systematic Literature Review with Bibliometric Analysis (SLBA) methodology to explore and synthesize data on how Industry 4.0 and sensors can leverage product design. The results show that various product design features create opportunities to be leveraged to guarantee the success of Industry 4.0 and sensor technologies. However, the research also identifies numerous challenges that undermine the ongoing transition towards intelligent factories and products.

Sustainable Entrepreneurship Education: A Systematic Bibliometric Literature Review

“…To identify, collect, analyze, and report on the different documents, as proposed by Rosário and Raimundo [37], Rosário et al [38], and Rosário and Dias [39], content and thematic analysis techniques were used. To maintain an accurate mapping, filtering the articles selected above, the aforementioned results from the generated queries were segmented into distinct types of literature.…”

“…As mentioned above, the purpose of this paper was to provide an SBLR on the central research question, namely, which issues are principal for sustainable entrepreneurship education. This methodology ensured that the review would be thorough, verifiable, and replicable, while providing answers to specific research questions [36][37][38][39] (Table 1). To identify potential issues, bibliometric analysis can be used to understand how organizations have adopted the methodology and how they identify potential challenges.…”

“…It is deemed that bibliometric analyses of citations and co-citations rely on quantitative frequency, considering that citations embody a reliable interaction between scientific researchers and research institutions. The SBLR process is divided into three phases and six steps (Table 1), as proposed by Rosário et al [38] and Rosário and Dias [39].…”

Advances in flame synthesis of nano-scale architectures for chemical, biomolecular, plasmonic, and light sensing

“…[4][5][6] The annual sale of millions of molecular and light sensors underscores their ubiquitous importance and widespread application in fields such as environmental monitoring and healthcare. 7,8 Nano-scale sensors including gas [9][10][11] and bio-molecule 12,13 sensors, and photodetectors, 14,15 offer numerous benefits, such as cost-effectiveness, user-friendliness, high signal-to-noise ratio, stability, and energy efficiency. [16][17][18] Despite these merits, many of these sensors struggle to reach sufficient selectivity in real operating environments.…”

Conceptualizing Agile Development in Digital Transformations: Theoretical Foundations and Practical Applications

“…IoT devices are becoming more prevalent in various industries, generating vast amounts of data that can be leveraged to improve Agile practices. For instance, IoT sensors can provide real-time data on product usage and performance, enabling teams to quickly identify and address issues (Javaid, Haleem & Suman, 2023, Rosário & Dias, 2023. Additionally, IoT devices can be used to automate testing and deployment processes, reducing manual effort and improving efficiency.…”