Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making

摘要

To ensure environmental sustainability, cutting-edge technologies and market-oriented products are made eco-friendly. In this regard, several studies have been carried out by many researchers. However, Green Robotics (GR) has to be explored well. It requires more research. This study attempts to examine the performance of GR with two real-time applications. Also, the correlation between GR, Green Supply Chain Management (GSCM), green computing, and the approaches used to increase sustainability in robotics are analyzed. The adoption of green notions in the entire development cycle of a robot (from robot design to its application) is addressed. The measures employed to evaluate green models are selected to assess the effectiveness of the processes related to green computing, selection of green material, and reduction in energy and cost. Two tangible educational Mobile Robots (MRs) are designed using a hybrid MCDM technique. The research problem is addressed using a hybrid methodology integrating Analytic Network Process (ANP) and Interpretive Structure Modelling (ISM). The empirical results prove the proposed method performs well. This study about Green Robotics plays a vital role in sustainability by encouraging eco-friendly materials, reducing energy use, enhancing the efficiency of resources, reducing wastage of resources, reducing our footprints on ecosystems, promoting sustainable manufacturing strategies, and working together with other eco-friendly methods.