The Role of Industrial AI in Chemical Manufacturing : How to Adopt It? [2022]

Daten & Wissen / Feb. 14, 2022
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The Chemical industry was taken under the wave that was COVID-19, most of the manufacturing and production of chemicals was largely affected by it. Now that the hassle is over, it is important to get back on track and speed up the manufacturing process of the plants.

A production line is the most important process to increase the revenue of the chemical industry, hence it becomes necessary that this process is completed properly and cost-effectively. 

Accurately & efficiently analyzing, modeling, measuring, and implementing each action is a top priority in the optimization of a production line.

Artificial Intelligence is a software solution that is making a significant impact in the most critical areas of the chemical industry such as supply chain management, production line optimization, innovation, and creating new channels to reach the market.

In this article, you will learn the role of Industrial AI in Chemical Manufacturing, and how it’s helping the chemical industry to reach new heights.

The Role of Industrial AI in Chemical Manufacturing

First, let's talk about what is Industrial AI?

Industrial Artificial Intelligence is an operation of AI for artificial use cases like the movement and storehouse of goods, force chain operation, advanced analytics, and robotics in manufacturing

For the chemical industry to optimize the process lines, they need to address various process inefficiencies such as unwanted product generation, loss due to impurity, process instabilities, etc.

Now, let's understand what are the main pain points in chemical manufacturing for which AI has great potential to solve.

Optimization Yield

85% of problems in production arise due to some trivial variations which can be easily controlled & modified using Artificial Intelligence.

The chemical industry is heavily dependent on external factors like temperature and pressure. AI tracks all these factors constantly and gives real-time pressure and temperature control advice to produce the optimized yield.

Product Grade Prediction

In today's time, chemical manufacturing companies are suffering from quality issues caused by the manual comparison of quality data of the product, carried out by the employees. Due to this, manufactured chemical products are often found to be of defective quality.

You can provide the type & quantity as input data to deep learning algorithms, along with Temperature and Pressure as real-time data to it, so that it can detect any quality issues even before the product is fully ready.

New Product Development

AI can be used between product and process development stages to accelerate product innovation. Chemical companies can correctly formulate performance and cost using machine learning and advanced analytics algorithms based on past data.

Many chemical industries are using customized mathematical models and algorithms to predict the correct chemical combination, as well as allowing companies to forecast the aging process of the catalyst and the solubility of complex dyes.

Accurate Forecasting

It’s important for the chemical industry to properly forecast the demand to manage its supply chain properly. Therefore a chemical company needs to make use of AI algorithms.

Deep learning algorithms can identify the variables which affect the demand for the products. Many chemical companies are leveraging this technology to gauge accurate forecasting.

Improving Safety Measures

Chemical manufacturing is one of the most strictly regulated industries in the world. It poses various safety hazards, and the safety of any individual can be ensured by collecting real-time data and combining it with advanced analytics solutions. 

Sensors are used to collect data and subsequently, all that data is used to ensure the safety of every individual on the manufacturing site. Sensors can determine whether a person is wearing a PPE kit or not.

How to Adopt Digital Transformation in Chemical Manufacturing?

When any company invests in AI, its goal is to bring the company's digital transformation to the next level. According to research, all the companies that integrate Artificial Intelligence into their business are able to bring much higher returns.

Understand the Business Problem

Below you can see the major fields in chemical manufacturing where you can integrate AI solutions to transform or adapt the digital transformation.

Data Analysis for Molecular Study

The molecular study requires different types of data, which in turn demands a chunk of your time and money. Many companies use larger sets of data to feed machine learning solutions to detect chemical molecules that are usable & less toxic.

By using machine learning solutions, you can also find out pollutants due to which climate change is happening & which has a very bad effect on the climate.

Predictive Forecasting

The competition in chemical manufacturing is rapidly increasing, hence it becomes necessary to be prepared beforehand. Using machine learning you can forecast the demand for raw materials like oil and gas with great accuracy & efficiency.

Many chemical companies are currently using Industrial AI and are completely transforming their business around.

Innovation in The R&D Sector

Research & Development is one of the most important processes to make any company successful so that they can bring better and faster results.

Machine learning solutions can do any type of research & development at a higher & faster clock speed with the help of computerized permutations & combinations.

Machine learning solutions can identify the right molecules and create correct formulas, which would speed up the research process of the company.

Contiguity of Humans & Machine

Chemical manufacturing companies need to train their employees so that they can operate the AI-enabled machines properly.

Industries have benefited a lot due to the integration of machines and humans, as earlier only humans were required to monitor the manufacturing process, now machines and humans together can monitor the manufacturing process more accurately and efficiently.

Prioritize the Business Needs

AI can also streamline the process of your business, but before that, you have to make sure that which part of your business needs to be integrated first with AI, start accordingly.

You need a long-term and short-term goal before integrating artificial intelligence solutions in your enterprise to ensure the perfect digital transformation of your business.

Understand Infrastructure Gap Within Enterprise

Companies still working in the traditional way lack infrastructure and talent to fully manage AI solutions, so you have to introduce the employees to AI infrastructure or hire new talent in your company.

But when you hire a new employee, it costs you a huge amount of time and budget. Therefore many companies prefer to take offshore services to strengthen their business with AI solutions.

Hire Experts to Commence Pilot Project

Because the experts know very well which way the best AI solution can be made in less investment; many companies hire an AI expert team to make their AI project completely successful.

Once you entrust an expert who is best at creating customized AI solutions, you can stay rest assured that they can develop your project and deploy it to your system.

Read also:

AI in Pharmaceutical Industry: 9 Amazing Use Cases

Why Innovation is Important in FMCG Industry

Let's Wrap It Up

In today's time, if you want to make your chemical manufacturing business profitable, then you have to adopt digital transformation. It becomes a necessity that you understand the core problem of your business and hire the best team to create customized AI solutions & transform your business.

At Daten & Wissen, we have a team of experts in creating customized AI solutions. Over the years we have transformed many industries with the help of our AI solutions. We ensure that your data is safe & secured while creating the AI solution.

We love what we do!

We are happy to help you.

FAQ

Q: What is the significance of AI in manufacturing factories?

A: AI can process and interpret larger sets of data from the production area to spot patterns. It then analyzes and predicts consumer behavior, detects anomalies in production processes in real-time, and many more. Manufacturers benefit from these AI tools as they gain end-to-end visibility of all manufacturing operations in facilities

Q: How AI is used in industries?

A: AI has revolutionized many industries by providing unique features which make processes efficient. Some of the most essential features of AI are as follows: (a) Defect Detection (b) Quality Assurance (c) Assembly Line Integration (d) Assembly Line Optimization (e) Generative Design

Q: What industries will benefit most from AI?

A: The industries that will benefit the most from adopting AI would be as follows:

(i) Logistics

(ii) Healthcare

(iii) Financial Services

(iv) Advertising

(v) E-Commerce

(vi) Manufacturing

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Daten & wissen

Daten & Wissen is the team of expert AI engineers to help your business to embark on a transformational journey with the adoption of this futuristic technology.

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