Scholarlink

A new age of digital transformation has been brought about by Industry, and robotic process automation (RPA) is a key component in increasing productivity and streamlining workflows in smart industries. This article investigates how Robotic Process Automation (RPA) may reduce manual involvement, streamline complicated industrial processes, and increase operational efficiency. Robotic Process Automation (RPA) frees up human workers to concentrate on more strategic, high-value jobs by taking over repetitive, routine duties, which boosts innovation and competitiveness. The integration of cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) enhances the capabilities of Robotic Process Automation (RPA), allowing businesses to optimize their operations in real time. Even though RPA is very good at automating repetitive, rule-based operations, the addition of AI improves its capacity to handle unstructured data, make wise decisions, and get better over time through learning. This is further refined by ML, which makes processes more flexible and efficient by enabling systems to adjust and forecast results based on historical data. The Internet of Things (IoT) gives RPA access to real-time data from linked devices, which it can utilize to automate answers or initiate tasks like predictive maintenance. When combined, these technologies improve decision-making with data-driven insights, facilitate seamless collaboration across business divisions, and minimize downtime through predictive maintenance. Businesses can swiftly adjust to shifting customer needs and market situations because to this synergy, which increases agility and scalability. In addition, case examples of effective RPA deployment in smart sectors are presented in this chapter, with an emphasis on the advantages, difficulties, and potential developments. This paper attempts to offer insights into how RPA might be used to build more flexible, effective, and sustainable industrial settings through a thorough investigation, so making a substantial contribution to the development of contemporary smart industries.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhancing Productivity and Workflows in Smart Industry Through Robotics Process Automation

  • 章节

  • 发表日期：

    2025年

查看全文
  • Debasis Mishras,
  • Kali Charan Rath,
  • Santosh Kumar Tripathy,
  • Alvaro Rocha,
  • Dina Darwish

摘要

A new age of digital transformation has been brought about by Industry, and robotic process automation (RPA) is a key component in increasing productivity and streamlining workflows in smart industries. This article investigates how Robotic Process Automation (RPA) may reduce manual involvement, streamline complicated industrial processes, and increase operational efficiency. Robotic Process Automation (RPA) frees up human workers to concentrate on more strategic, high-value jobs by taking over repetitive, routine duties, which boosts innovation and competitiveness. The integration of cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) enhances the capabilities of Robotic Process Automation (RPA), allowing businesses to optimize their operations in real time. Even though RPA is very good at automating repetitive, rule-based operations, the addition of AI improves its capacity to handle unstructured data, make wise decisions, and get better over time through learning. This is further refined by ML, which makes processes more flexible and efficient by enabling systems to adjust and forecast results based on historical data. The Internet of Things (IoT) gives RPA access to real-time data from linked devices, which it can utilize to automate answers or initiate tasks like predictive maintenance. When combined, these technologies improve decision-making with data-driven insights, facilitate seamless collaboration across business divisions, and minimize downtime through predictive maintenance. Businesses can swiftly adjust to shifting customer needs and market situations because to this synergy, which increases agility and scalability. In addition, case examples of effective RPA deployment in smart sectors are presented in this chapter, with an emphasis on the advantages, difficulties, and potential developments. This paper attempts to offer insights into how RPA might be used to build more flexible, effective, and sustainable industrial settings through a thorough investigation, so making a substantial contribution to the development of contemporary smart industries.