How you can deploy intelligent automation in Business Industry

What is Robotic framework?

In order to remain competitive in a globalized environment, manufacturing companies need to constantly evolve their production systems and accommodate the changing demands of markets. Robotics is expected to be one of the main enablers of the transformable factory of tomorrow. To reach the demanded level of flexibility, robots, or more generally mobile manipulators, need to be able to move autonomously, cope with uncertainty in interactions with humans and partially known environments, handle a variety of different tasks, and be re programmable. Robot Framework is a generic open-source framework for automation. It can be used for automated testing and robotic process automation (RPA).

Robotic framework:

Robots are changing the manufacturing industry and will continue to do so throughout the coming years. Many business owners are adopting automation processes within their manufacturing lines for several reasons. Due to the complexity of robotic process automation and the varying approaches when implementing the technology, it is reported that up to 50% of robotic process automation projects fail. To tackle the serious issues, you need to develop a robotic framework to reduce the losses and increase the success rate. The framework of RPA projects in the manufacturing industry is divided into three categories: initialization, implementation, and scaling.

Initialization, Implementation, and Scaling:

The initialization phase completes various stages, such as identification alignment and technology screening, which are completed at the implementation phase stage. Then RPA software selection, RPA pilot, and evaluation of the business case start.

The scaling phase only starts after the RPA project has been completed and focuses on adoption and scaling for further RPA implementation.

Identification of RPA demand:

The initial stage focuses on the identification of process automation needs and opportunities, such as evaluation and determining current processes in enterprises for automation.

Alignment with business strategy:

Manufacturing companies need to consider the importance, usefulness and added value of introducing RPA at an early stage. Hence, early alignment with business strategy is significant to understand where RPA can positively influence strategic goals.

Screening of different (RPA) technologies:

The screening stage helps to determine whether a business organization can apply RPA usefully and what kind of technology is suitable to solve the critical problem. Rapid process re-engineering, aspects of machine learning, and custom tool remediation can be alternate options to automate processes.

Process selection

After verifying RPA as a practicable and effective technological resolution to an enterprise problem, this stage focuses on the prioritization and selection of process candidates for automation. Process selection requires data from end users and stakeholders to make better decisions.

RPA Software Selection:

This stage focuses on the selection of suitable RPA software for automation. Among other things, the cost of software skill requirements as well as prior factors in the decision-making

RPA Pilot:

A pilot serves as verification of the functionality as well as the technical and financial feasibility of RPA technology. It is suggested that a pilot project be run for a few months to get a detailed analysis based on data.

Evaluation of business cases:

The business case is crucial to bridging the gap between the RPA pilot and the subsequent adoption and scaling of RPA services within the business company. To ensure long-term management support, there is a need to ensure typical indicators such as processing times, error rates, infrastructure and IT costs. A technology based on process discovery can be perused through process and task mining.

RPA rollout:

RPA rollout is a necessary and unique stage and should be subject to further research, including socio-technical aspects of human and machine co-operation.

Adoption and scaling: with an increasing number of RPA implementation projects, the stage of adoption and scaling is gradually transferring into a continuous cycle of RPA support processes.

Recommendation for cost-cutting and revenue-boosting RPA in industry:

RPA can work for 24 hours a day. They help to reduce errors and eliminate the sort of data handling tasks done previously by humans.

Several ways of cost reduction and ROI with RPA in the industry are described here.

1.   Limit your labor expenses:

A top multinational consumer goods provider used the Nividious intelligent automation process that reduced manual invoice processing by 90% and saved the business 50% of its spending on full-time employees.

2.   This increases employee productivity:

RPA mimics rule-based and repetitive conversation and assists employees in focusing on more innovative and creative thinking.

References

Koivula, P. (2021, 11 22). Up to 50 % of automations fail – This is how we do it to succeed. Retrieved from Sisuadigital: https://sisuadigital.com/blog/up-to-50-of-automations-fail-this-is-how-we-do-it-to-succeed/

Lukas-Valentin Herm, C. J. (2022). A framework for implementing robotic process automation projects. Springer.

Parikh, S. (2022, March 4). How Robotic Process Automation (RPA) Leads To Cost Reduction. Retrieved from Nividous: https://nividous.com/blogs/rpa-cost-reduction

Tajak, M. (2022, 02 14). How Robotic Process Automation can reduce labor costs and boost productivity. Retrieved from ggsitc.com: https://ggsitc.com/blog/robotic-process-automation-reduce-labor-costs

USM. (2020, September 28). How Has Robotics Changed Manufacturing Industry? Retrieved from usmsystems: https://usmsystems.com/robotics-in-manufacturing-industry/