Industrial Internet of Things (IIoT)

Data and Design Management for Digital Enterprises 311

Data and Design Management for Digital Enterprises 311 focuses on the importance of data collection, maintenance, and analysis to digital enterprises in smart manufacturing. This includes overview discussions of data’s uses for continuous optimization and predictive analytics in smart manufacturing. After completing this course, users will also be familiar with the basics of product data management and project lifecycle management software, version control, and other part design considerations, as well as the need for cybersecurity efforts to protect data.

As smart manufacturing leads to greater internet connectivity across manufacturing facilities and enterprises, strategies for managing data are becoming increasingly necessary. This course provides foundational information necessary for managing and optimizing data across a manufacturing enterprise.

  • Difficulty Intermediate

  • Format Online

  • Number of Lessons 10

  • Language English

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Course Outline
  • Digital Enterprises and Data
  • Data Collection and Maintenance
  • Continuous Optimization
  • Predictive Analytics
  • Applications of Continuous Optimization and Predictive Analytics
  • Review: Data Collection and Analytics
  • Product Data Management Software
  • Product Lifecycle Management Software
  • Data Updates and Cybersecurity
  • Review: PDM and PLM Software
Objectives
  • Describe the importance of data to a digital enterprise.
  • Describe the importance of data collection and maintenance.
  • Explain how continuous optimization is driven by data.
  • Define predictive analytics.
  • Identify major applications of continuous optimization and predictive analytics.
  • Describe product data management software and its benefits.
  • Describe product lifecycle management software and its benefits.
  • Describe the importance of data updates and cybersecurity.
Glossary
vocabulary term
Definition

agility

The ability to respond quickly to customer needs and market changes while still controlling costs and quality. Agility in manufacturing may be enabled by predictive analytics.

AI

Artificial intelligence. A computer program with algorithms that function as behavioral rules, allowing a machine or computer to imitate intelligent human behavior. AI is able to discern and learn from its experiences in order to make optimized decisions during an operation or for subsequent processes.

anti-malware

Security software that protects against various types of malware. Many anti-malware products protect against the latest malware and may not include protection against some older malware types.

artificial intelligence

AI. A computer program with algorithms that function as behavioral rules, allowing a machine or computer to imitate intelligent human behavior. Artificial intelligence is able to discern and learn from its experiences in order to make optimized decisions during an operation or for subsequent processes.

assembly line

A production process in which products are mass-produced in stages. Assembly lines are a linear method of manufacturing in which the object being produced passes through different work stations until it is complete.

asset

Anything of value, such as a part, device, or machine, that is useful in manufacturing. Assets can include the data collected and used to make decisions.

automate

Using mechanical systems that operate with limited human interaction. Computer programs can be used to automate a manufacturing process.

automated machine learning

AutoML. A process that uses algorithms to build and deploy predictive models without direct human intervention. Automated machine learning simplifies predictive analytics.

bills of materials

BOM. A report that lists the materials required to make a particular product and the cost of each individual component. A bill of materials includes all project materials, including any accessories and fasteners.

BOMs

Bill of materials. A report that lists the materials required to make a particular product and the cost of each individual component. A BOM includes all project materials, including any accessories and fasteners.

CAD

Computer-aided design. A computer system used to design a model of a product. CAD models are often the basis for a production process.

California Consumer Privacy Act

CCPA. A state statute intended to enhance privacy rights and consumer protection for residents of California, United States. The California Consumer Privacy Act provides California residents with the rights to access their personal data, request its deletion, and opt out of its sale.

computer-aided design

CAD. A computer system used to design a model of a product. Computer-aided design models are often the basis for a production process.

continuous optimization

The practice of constantly measuring the effectiveness of processes and striving to meet more difficult objectives to satisfy customers. Continuous optimization is driven by the collection and analysis of data.

cyber threats

Any potential event or attack that could access or damage computers or digital networks. Cyber threats may include inadvertent events or malicious attacks from hackers.

cybersecurity

Protection against criminal or unauthorized access to computer networks, programs, and data. Cybersecurity has become a major industrial concern as networking and connectivity have increased.

cybersecurity insurance

A service that organizations can purchase in order to protect against losses in the event of a cyber attack. Cybersecurity insurance can cover penalties, fines, and other costs that are incurred in a cyber attack.

data

A collection of numbers, facts, and information about a process or product. Data can be created, communicated, and recorded by sensors in smart objects.

data inventory

A detailed record of datasets maintained by an organization. Data inventories typically include descriptive information of all data assets for a particular topic or field.

data maintenance

The process of ensuring that information assets remain usable for their designed purpose. Data maintenance helps datasets maintain their value as asset.

data retention policy

A set of records management procedures for meeting legal and business data archival requirements. A data retention policy ensures an enterprise complies with relevant privacy regulations.

datasets

Similar types of information collected into a single asset, or unit. Datasets are used by manufacturers to organize the information they collect.

digital thread

An integrated view of all the data and information about an asset or product throughout its lifecycle. The digital thread connects information from all aspects of a product into one seamless network.

digital twins

An integrated view of all the data and information about an asset or product throughout its lifecycle. The digital thread connects information from all aspects of a product into one seamless network.

enterprises

A business, company, or similar entity that is organized around a single purpose. A digital enterprise is a company that employs digital technology throughout its operations and facilities.

ergonomic

Designed to decrease operator discomfort or fatigue and increase productivity. Ergonomic concerns include force, posture, and repetition.

feeds

The rate at which the cutting tool and the workpiece move in relation to one another. Feeds are typically a linear movement.

General Data Protection Regulation

GDPR. A robust privacy law that was created by the European Union that became effective in 2018. The purpose of the General Data Protection Regulation is to update digital security for the citizens of the EU by giving them a higher level of control on the personal information they share online.

Industrial Internet of Things

IIoT. A network of smart industrial machines and devices. The Industrial Internet of Things is a network of smart industrial technology and the manufacturing-specific part of the overall Internet of Things (IoT).

loads

The overall force or pressure placed on a material or structure. Parts are designed to be able to withstand certain types and amounts of loads.

machine learning

ML. The process that enables a digital system to analyze data. Machine learning systematically solves problems using highly complex algorithms.

machine-to-machine

M2M. The transfer of data between machines and the internet without human interaction. Machine-to-machine communication relies on sensors.

obsolescence

The process of becoming outdated and no longer used. Product obsolescence is tracked in product lifecycle management.

passwords

A series of characters known only by authorized users that allows the users to access an otherwise locked digital system. Passwords effectively prevent unauthorized access as long as they are not shared or discovered by unauthorized users.

PDM

Product data management. A system for managing design data and engineering processes in one central location. PDM software allows manufacturers to organize and share all information related to their product designs.

PLM

Product lifecycle management. A system that maintains data on every aspect of the product from its inception to its retirement. PLM follows a product from its design phases, its production, its sales, its service needs, and its retirement.

predictive analytics

The use of data to predict future events. Predictive analytics allows manufacturers to make informed decisions to address things like future supply needs, machine maintenance, and customer demand.

predictive maintenance

A maintenance approach that involves collecting data related to machine operation in order to service a machine before maintenance issues arise. A predictive maintenance approach involves performing maintenance on a scheduled basis and helps prevent unscheduled downtime.

product data management

PDM. A software system for managing design data and engineering processes in one central location. Product data management software allows manufacturers to organize and share all information related to their product designs.

product lifecycle management

PLM. A system that maintains data on every aspect of the product from its inception to its retirement. Product lifecycle management follows a product from its design phases, its production, its sales, its service needs, and its retirement.

production metrics

Data that tracks the number or rate at which parts are produced. Production metrics can be used to detect errors and track the progress of an operation.

real-time

The near-instantaneous interval of time that computers require to process data. Real-time is virtually the same as actual time because computers process data nearly immediately.

research question

A question that a data analysis project sets out to answer. A research question guides the data collection choices of an enterprise.

security patches

A software fix that corrects coding flaws or improves vulnerabilities. Security patches are often included with software updates.

sensors

A device within a device that detects a physical stimulus and turns it into a signal that can be measured and recorded. Sensors in smart devices make it possible for machines to communicate digitally.

smart manufacturing

A method of manufacturing designed to improve product design and processes through the integration of digital technology throughout the supply chain. Smart manufacturing increases connectivity between all areas of product development.

smart sensor

A device within a device that detects a physical stimulus and turns it into a signal that can be measured and recorded. Smart sensors in devices make it possible for machines to communicate digitally.

speeds

The rate at which a cutting tool or workpiece rotates in machining. Speeds affect the amount of cutting forces on a located workpiece.

stakeholders

Any person or group that has an interest in an organization. A manufacturer's stakeholders include employees, investors, suppliers, and customers.

supply chain management

The process of planning, implementing, and controlling supply chain activities to achieve maximum customer value and sustain competitive advantage. Supply chain management oversees each area of the supply chain, including development, sourcing, production, and delivery.

three-dimensional

3D. Having a length, depth, and width. Creating three-dimensional digital models of a part is the first stage of part design.

version control

The task of keeping a system consisting of many versions and configurations well organized. Version control of design files helps to prevent manufacturers from proceeding with the wrong revision of a design.

workflows

The layout of a process. Workflows can reduce travel distances, eliminate redundancies, and improve quality.