Production Process Optimization using ML

Production Process Optimization is based on Fourth Industrial Revolution which proposes automation of manufacturing processes and incorporating mindful insight from the automated data. The project offers to develop a web interface which displays useful insight from the data that helps the manufactur

Project Title

Production Process Optimization using ML

Project Area of Specialization

Artificial Intelligence

Project Summary

Production Process Optimization is based on Fourth Industrial Revolution which proposes automation of manufacturing processes and incorporating mindful insight from the automated data. The project offers to develop a web interface which displays useful insight from the data that helps the manufacturing team to make accurate and intelligent decisions based on the analysis. Through data analytics, we can evaluate the factors affecting performances and productions from the machine. Companies are adopting manufacturing 2.0 for business efficiency improvement as 2.0 tools implement a cohesive and functional approach to structured and unstructured data. The project will help to analyze and guide smart actions to schedule various processes in the industry to make the machines act intelligently.Through smart manufacturing we can minimize the downtimes and boost the productivity and effectiveness of the process. The industrial automation and analytics provided by PPO helps Tri-Pack to completely virtually visualize and monitor the production process from remote locations, hence making smart decisions immediately and effectively.

Project Objectives

The end product must provide a mindful insight into the production and performance data of machine and operators working for plastic rolls and films manufacturing, the users i.e. in our case managers, manufacturing team members, will be able to visually analyze the insights from the data that’s delivered by performing several data analytics techniques, these understandings and considerations from the data help the organization to eliminate productive falls and to produce required orders beneficially. In addition to this, historical data analysis can also be used to develop predictive analytics manufacturers use this to make intelligent decisions. This product fulfills the aim of the production engineers that is to prevent severe costly anomalies and bypass unexpected downtimes.

Project Implementation Method

1. Data Gathering

Recently, Tri-Pack Ltd automated their data process in order to incorporate FIR due the rapid development of Industry 4.0 tremendous amounts of real-time on-site data is collected from production lines. However, this is just raw data in excel sheets which is impossible to analyze for the human eye, this requires efficient analytics to be performed on it to gauge and observe data patterns. On the other hand, we have sales data through which we can forecast future sales to pre-scheduled our needs and resources.

2.Data Preprocessing

Tri-Pack now requires an effective system which analyzes the data generated from various sources e.g. machinery, operators, sales etc. as raw data does not provided enough advantage in a fast paced evolving competitive environment so data should be preprocessed to eliminate anomalies and detection of irregularities in the data before it is analyzed to produce valuable insight. Catering missing values, detection of outliers and anomalies, visualization of data through various angels is performed to obliterate data inconsistencies. 

3. Data Analysis & Business Intelligence 

Business analytics provides companies to acquire end-to-end visibility and visualize the production line, manufacturing engineering processes, environmental issues, resource limitations which influence productivity, performance and deliverables. We aim to provide Tri-Pack with several benefits that comes with data analytics done on business models, the business intelligence provided through this will help the organization to deal in an efficient manner hence increasing its productivity and decreasing the production line cost. Similarly, by forecasting sales for a subsequent period of time, the organization will be able to be ready and allocate optimal resources for the manufacture.

4. Graphical User Interface and Backend Development

A GUI is developed to visually display the result obtained from the in-dept analysis of the data, development of GUI along with backend is one of the most crucial step in project implementation as it will require excellent technical skills for integration.

5 . Documentation 

Lastly, documentation must be provided by the developers of a project for better understanding of the project by technology novice person, so adequate amount of easily understandable documentation is a necessary deliverable along with the project. 

Benefits of the Project

With the emergence of Industry 4.0 revolution, it became highly important for all the production companies to optimize their manufacturing process inorder to yield most efficient results to compete with their competitors, so it was necessary for Tri-Pack films Ltd to to enable automated decision-making processes, this project will help them to perform predictive analysis and avoid big problems that can be encountered in near future, this trims production cost and expenses and increases profits and productivity. Tri-Pack Films Ltd adopted this industrial revolution also known as Industry 4.0 and automated their data entry process recently, now they have their data being saved in tremendous amounts however no useful insight or deep understanding from the data is presumed. The need for PPO arised for deep understanding of the data in order to help the organization to recommend preferable decisions rather than relying on mere gut instinct. PPO is a new, self-contained product that helps to do the needful for the efficient production in the organization. The product interacts with the environment through a user interface that provides visual representation of the analyzed data of the elements involved in films and plastic production, through this GUI managers, admins and manufacturers can understand the constructive approaches for the production.

Technical Details of Final Deliverable

The final product will consist of a graphical user friendly interface which displays the useful insights and data patterns obtained from various datasets provided by the organization. It will consist of a BI dashboard to graphically represent the production summary, downtime summary and overall performance of the manufacturing equipments. Through several machine learning algorithms we've finally obtained an adequately accurate technique to forecast the sales statistics of the organization, these results will be graphically displayed on the UI along with a report. Finally, for the purpose of machine optimization we will integrate a page to predict production of films on specific machinery. 

Final Deliverable of the Project

Software System

Core Industry

Manufacturing

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Affordable and Clean Energy, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com