Manufacturing Solutions Using Artificial Intelligence

Over the last few years Artificial Intelligence has evolved from trendy keyword into a functioning tool. While most of us agree Artificial Intelligence can be a game changer manufacturing, we also don’t know how to leverage it properly. That is where Flexfab can help, we specialize in partnering AI with manufacturing to give you an innovative competitive edge.

  • Custom Quoting
  • Material Standardization
  • 3D Rendering
  • Manufacturing Demand Planning
  • Supply Chain Forecasting
  • Data Mining and Organization
  • Automated Order to Manufacture Tool
  • APQP

To understand the following solutions its helps to have a basic overview of Artificial Intelligence on 3 levels: Artificial Intelligence, Machine Learning and Deep Learning.

Artificial Intelligence – In broad terms is when a computer mimics the human ‘thought process’ by completing tasks using complex algorithms.

Machine Learning – This is a subset within AI. Machine Learning focuses on the computer’s ability to learn. Using data inputs the computer will learn and refine the algorithm to come to a more accurate conclusion.

Deep Learning – This is a subset of Machine Learning. Rather than a single layer of data Deep Learning uses multiple layers of mass amounts of data to learn. With Deep Learning you do not need to specifically define perimeters as the computer will teach itself.

Artificial Intelligence Levels

Custom Quoting: Reduce engineering costs and increase your team’s capacity by automating quoting. Using Machine Learning we can create a tool to instantly provide an accurate price for a custom engineered design. This tool can be integrated into third-party applications such as excel and websites, and even create an instant 3D rendering of the product.

Material Standardization: By allowing AI to manage production inputs you can maximize design efficiencies and improve inventory efficiencies.

3D Rendering: Use Artificial Intelligence to instantly generate 3D renderings of products based on inputs. Rather than type in the inputs use AI to scan an Engineering Drawing and automatically collect the inputs. This can be used for prototyping or integrated into a third-party program such as your website as an innovative customer facing application.

Manufacturing Demand Planning: Using Artificial Intelligence and Machine Learning we can make Manufacturing Demand Planning more efficient by accurately predicting demand, and automating the planning process (this can be linked to legacy software). AI is able to take a custom quote, calculate the time to produce, needed inputs and create an efficient production schedule.

Purchasing and Supply Chain Forecasting: Implementing Machine Learning into Supply Chain Forecasting will give you better insight into what your customer’s demand actually is. By looking at their orders and lead time you can effectively decrease on hand inventory and increase inventory turnover.

Data Mining and Organization: Organizing and making data useful is a major undertaking. Deep Learning can be utilized to efficiently make useful data points out of limited or unreadable data. Pair this with any of the applications above to increase accuracy.

Automated Order to Manufacture Tool: Use AI to create an Automated Lean Manufacturing system. Without any human interaction AI could receive a custom product request, design and quote the request and put the product into a robot automated production and shipping line.

APQP (Advanced Product Quality Planning) Evaluation: There is multitudes of possible errors when producing a new product, especially a complex product. The purpose of APQP is to create a structured planning process to ensure customer satisfaction. By integrating AI into your process structure you can streamline the process, remove potential human error, and catch errors not accounted for in your process.

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