Transforming Manufacturing Plants for Heavy Vehicles: How Data Analytics Supports Planet 2050’s Sustainable Vision
Year: 2024
Type: article
Abstract: Transforming Manufacturing Plants for Heavy Vehicles: How Data Analytics Supports Planet 2050’s Sustainable Vision Sustainability is one of the biggest issues of this age, particularly in sectors needing large amounts of energy. Manufacturing plants in the heavy vehicle sector support the production of goods for a planet with growing energy demands set to double over the next 30 years, with approximately 10 tons per inhabitant. Relationships between Environmental Impact (Planet), Economic Efficiency (Profit), and Social Responsibility and Values (People) are well known. Therefore, by bringing together people, the planet, and heavy vehicle goods transportation, the document sets a vision for the sector in Europe in the year 2050 that the company calls "Planet 2050." Aligning the processes and systems within heavy vehicle manufacturing plants, where the set of constitutive elements fall into the categories of planet, people, and profit, to the values of the time for 2050 gives us, and other companies that contribute to "Planet 2050," an advantage in making investment proposals that will underwrite production in the future. The ability to act in this innovative field can have a direct impact on attracting and retaining the employees of the future; securing the well-being of our planet for our future generations; restructuring the heavy vehicle sector in a European energy transformation space and vision; and setting global principles and adjusted positioning for operations in countries worldwide. It is easy for Step 4, with a data analytics approach, to demonstrate that Plant 2050 has been and is in every part of the manufacturing procedures and systems. Manufacturing of the future, in this sense, must be value-added at the people, planet, and profit interfaces for every element of the process. Making data-driven decisions is increasingly important. Measurements of sustainability show the cost of a problem. Accordingly, proposal innovation needs to reference the solution rather than the problem. In the heavy vehicle manufacturing sector, data-informed analytics can provide insights that align manufacturing best practices with the development of Plant 2050.
Source: Nanotechnology Perceptions
Authors: Rama Chandra Rao Nampalli, Shakir Syed, Vishwanadham Mandala
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404010409