Title: Evolutionary design framework and assessment of the sustainable manufacturing systems

Authors: Ridhima Mehta

Addresses: School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India

Abstract: The need for sustainability in modern manufacturing systems is influenced by environmental-driven objectives including lower emissions, minimal utilisation of natural resources, reduced energy usage, etc. In this work, for developing green manufacturing systems, optimal improvement plan is implemented using recycling tool without affecting productivity. Using survey data based on recycled content, this paper empirically evaluates various environmental metrics affecting water management, climate change, air quality and greenhouse gas impact. In addition, we provide an estimate of net energy consumption and global average carbon emissions for different types of materials employed in manufacturing industry. The iterative execution of evolutionary genetic algorithm is implemented for minimising the greenhouse effect by considering the application of distinct selection, mutation and crossover operations. Moreover, simulation results demonstrate that the proposed design model outperforms the previous works in terms of reduced emissions by up to 86%, energy conservation by huge proportion of 247.2 and 72.86% lesser carbon footprint.

Keywords: genetic algorithms; green manufacturing; sustainable development; system simulation.

DOI: 10.1504/IJEE.2024.137358

International Journal of Environmental Engineering, 2024 Vol.12 No.3, pp.248 - 270

Received: 14 Mar 2023
Accepted: 16 Oct 2023
Published online: 13 Mar 2024 *