Brand Of Intelligence Manufacturing

Intelligence Manufacturing is a method in which the combined intelligence of people, processes, and machines, is used in order to impact the overall economics of manufacturing. The purpose of intelligence manufacturing is to optimize manufacturing resources, improve business value and safety, and reduce waste- both on the floor and in back-office operations. Manufacturing is a multi-phase process in which new products are created by using raw materials whereas intelligence manufacturing employs computer controls and high levels of adaptability. Manufacturers use the latest manufacturing execution systems (MES), intelligent devices, machine-to-machine communication, and data analytics for its production lines and facilities in order to achieve the goals of intelligent manufacturing.

Intelligence manufacturing is used for optimizing concept generation, production, and product transaction. It is a subset of manufacturing that takes advantage of advanced information and manufacturing technologies in order to enable flexibility in physical processes to address a dynamic and global market. Intelligence manufacturing is aimed to create a flexible manufacturing process that does not cause any harm to the environment and respond rapidly to the changes in demand to the firm at a low cost. With intelligence manufacturing, the products are designed for efficient production and recycle-ability and, thus, necessitate a life-cycle view. Intelligence manufacturing enables to access information about the manufacturing process. It helps to provide data in the form that is required by manufacturing supply chains, complete product lifecycles, small, medium, and large enterprises. The Smart Manufacturing Leadership Coalition (SMLC) is building the technical and business infrastructure that facilitates the development and deployment of Smart Manufacturing systems across the entire manufacturing ecosystems.

Intelligence manufacturing uses internet-connected machinery to monitor the overall production process of a factory. The aim of intelligence manufacturing is to identify opportunities for automating manufacturing operations and use data analytics to improve the overall performance of the manufacturing process. Intelligence manufacturing has the ability to regulate the manufacturing of the product within the design specifications.

Intelligence manufacturing can be achieved in three ways:-

1. Existing manufacturing processes can be made intelligent by adding sensors to monitor and control the state of the product being processed.

2. Existing manufacturing processes can become intelligent by monitoring and controlling the state of the product being processed.

3. New processes can be intelligently designed to produce parts of the desired quality without the need for sensing and control of the process.

Tools used for Intelligent Manufacturing

The tools used in Intelligent Manufacturing are:

1. Case Tools

2. Simulation Algorithms

3. Neutral Networks

4. Fuzzy Logic

5. Genetic Algorithms

6. Artificial Intelligence

Stages of development of sub-systems of IMS:

S. No.
Tools Used
Design Stage
Development in Progress
CAD modeling tools i.e. Auto CAD
Prototype Stage
Developed according to demand
Case Tools with CBR
Procurement Stage


Developed with live technologies to cater to JIT with vendor certification
Any vendor interactive software
Process Stage
Scheduling tried out with
·   Genetic Algorithms
·   Case-based Reasoning
Genetic Algorithms
·   Case Tools
·   Fuzzy composite logic tools
Machining Centre
Artificial Intelligence tried out, in the progressive stage of development
Material Handling
Developed with incorporation systems of AGVs, the guidance of AGVs & sensors being developed
Storage system
Developed with inventory expert systems
Developed according to inputs received from marketing parameters i.e. demand
Fuzzy Logic + simulation algorithms

Aims and Benefits of Intelligence Manufacturing

The aim of intelligence manufacturing is to utilize data to develop intelligent technology to expedite new and higher quality goods. Intelligence manufacturing involves integrations in all steps of the product fabrication process and aims to become an idealized practice in manufacturing.

  • Emerging Business Practices

The primary goal of an intelligent network of manufacturing is to make business models a more flexible, adaptive, and reactive approach to participate in competitive markets. If intelligent manufacturing is adopted, it will help the business models to conceptualize around the integration of every step of the development process; invention, manufacturing, transportation, and retailing. Thus, proper implementation of intelligent manufacturing can influence businesses both domestically and worldwide, the companies may also be forced to adapt or adopt the practice to compete, further stirring up the market.

Apart from smart manufacturing, ‘smart business ventures’ lays focus on establishing a network, also referred to as the Internet of Things (IoT) of multidisciplinary professionals including scientists, engineers, statisticians, economists, etc.

  • Eliminating workplace inefficiencies and hazards

The adopters of the ‘intelligence manufacturing system’ focus on efficiency optimization which can be done through data research and intelligent learning automation. Therefore, surveying workplace inefficiencies and assisting in worker safety are the important attributes of smart manufacturing. For e.g. Company provides operators personal data access cards with inbuilt Wi-Fi and Bluetooth, which can be connected to the machines and a cloud platform to determine which operator is working on which machine in real-time. Thus, an intelligent, interconnected smart system helps to identify inefficiencies through failed or delayed performance targets.

Author: Rishabh Tripathy, Intern at IP and Legal Filings, and can be reached at

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