5737-I53 IBM Maximo Production Quality Insights On-Premises V1.4

IBM Canada Sales Manual
Revised: April 14, 2020


Table of contents
Product life cycle datesProduct life cycle datesDescriptionDescription
Program numberProgram numberOperating environmentOperating environment
AbstractAbstractPlanning informationPlanning information
HighlightsHighlightsPublicationsPublications


Product life cycle dates

Top rule

Program Number VRM Announced Available Marketing Withdrawn Service Discontinued
5737-I53 01.04.00 2019-01-08 2019-01-11 2022-04-15 2022-04-30
5737-I53 01.00.00 2018-09-25 2018-09-26 2022-04-15 2022-04-30


Back to topBack to top

Program number

Top rule

  • IBM Maximo Production Quality Insights On-Premises V1.4 (5737-I53)


Back to topBack to top

Abstract

Top rule

IBM Maximo Production Quality Insights On-Premises V1.4, formerly known as IBM Production Quality Insights Private, helps maintain quality of process, materials, components, and products during manufacturing, assembly, and maintenance. It brings a 360-degree view to quality monitoring, inspection, and insights during a manufacturing, assembly, or maintenance process. It provides the capability to analyze the cause of defects from inspection data as well as quality insights solutions for different data types, such as structured data, inspection data, and visual data.



Back to topBack to top

Highlights

Top rule

IBM Maximo Production Quality Insights On-Premises V1.4

  • Upgraded operating system now runs Java Liberty.
  • IBM Maximo Production Quality Insights On-Premises Visual Insights charge metrics can now be tracked.
  • IBM Maximo Production Quality Insights Visual Insights is certified on Power9.

IBM Maximo Production Quality Insights On-Premises V1.0

  • Provides extensive insights into the quality of manufacturing and production operations
  • IBM Prescriptive Quality Private provides earlier and more definitive identification of product quality problems in comparison to traditional statistical process control methods.
  • IBM Visual Insights Private helps enable transformation for smarter manufacturing and Industry 4.0 through cognitive visual inspection.


Back to topBack to top

Description

Top rule

IBM Maximo Production Quality Insights On-Premises combines the robust quality monitoring and inspection capabilities of Prescriptive Quality Private and Visual Insights Private.

Prescriptive Quality Private helps:

  • Identify substandard materials before they enter the manufacturing process
  • Monitor inspections and tests on product assemblies and components during critical manufacturing steps
  • Monitor process variables that determine product quality

Visual Insights Private helps to bring increased intelligence and precision manufacturing and assembly. Visual Insights Private uses cognitive capabilities to review and match incoming defects to defect patterns on which it has formerly trained, and classifies them accordingly. The solution accelerates the tedious and expertise-based visual inspection process to quickly identify and classify defects in the manufacturing process. This solution can also be applied for parts validation during assembly and location of defects on a finished product.

  • Classifies incoming images into defect classes, when they match, or nondefects
  • Provides model managers and data scientists with the capability to define and track manufacturing defects to create more accurate assessments and defect capture strategies
  • Can improve efficiency and reduce visual inspection times for visual inspectors and inspection supervisors
  • Can drive increase in manufacturing yield and reduction of scrap

Cognitive, efficient quality control and inspection in one on-premises solution

Maximo Production Quality Insights On-Premises helps support quality control throughout the manufacturing process by providing early, more definitive alerts, to process and product quality problems. This proactive approach enables personnel to spend less time on problem detection and more time on problem resolution, thereby, helping increase production yield and lower overall operational costs. Quality control personnel benefit from the capability to identify and resolve process and product quality problems as early as possible in the production cycle.

Benefits extend to other lines of business:

  • Procurement can identify suppliers who deliver substandard parts, review contractual specifications to remedy problems, or find a new supplier.
  • Product design can be advised of component modifications, such as a minor change in dimensions to help simplify assembly.
  • Process engineering can fine tune adjustments or make modifications to production equipment, calibration, or an assembly process to eliminate process variation.
  • Operations can determine whether a problem is associated with a prescribed procedure or possibly a need to provide better operator training.
  • Maintenance can benefit through alerts of impending equipment degradation or failures that could result in reduced yield, scrap, or the need for rework.

Established data acquisition methods and newer IoT technologies can deliver operational data to the desktops and devices of personnel that are responsible for process and product quality. In a manufacturing environment, data value is a function of timely analysis that can transform it into meaningful action. The cost of poor quality in a company is high and can impact sales revenue. Detection of quality issues, early in the supply chain or manufacturing process, can deliver significant cost savings. The Quality Early Warning System algorithms provide a significant advantage over traditional Statistical Process Control (SPC) methods by detecting emerging quality problems sooner and with fewer false alarms. Maximo Production Quality Insights On-Premises is designed to provide timely, accurate, and relevant alerts to detect, identify, and help proactively remedy quality problems to help improve production yield, reduce scrap and rework, and reduce warranty costs.

Accessibility by people with disabilities

A US Section 508 Accessibility Compliance Report containing details on accessibility compliance can be found on the Product accessibility information website.



Back to topBack to top

Operating environment

Top rule

Hardware requirements

  • Minimum configuration
    • Center server:
      • 4-core processor
      • 32 GB memory
      • 1 TB hard disk
    • Hadoop nodes:
      • 16-core processor
      • 128 GB memory
      • 1 TB hard disk
    • Training server:
      • 4-core processor
      • 64 GB memory
      • 2 TB hard disk
      • One or more NVIDIA GPU cards
    • Edge server:
      • 4-core processor
      • 64 GB memory
      • 2 TB hard disk
      • One or more NVIDIA GPU cards

Software requirements

  • Hortonworks Data Platform 2.6.1 (prerequisite)
  • Red Hat Enterprise Linux Server Edition V7.5, x86_64
  • IBM WebSphere Liberty V18.0.0.3


Back to topBack to top

Planning information

Top rule

Customer responsibilities

Not applicable.



Back to topBack to top

Publications

Top rule

No publications are shipped with these programs.

Documentation is published in IBM Knowledge Center.



Back to topBack to top

Trademarks

Top rule

(R), (TM), * Trade-mark or registered trade-mark of International Business Machines Corporation.

** Company, product, or service name may be a trade-mark or service mark of others.

Terms of use

IBM products and services which are announced and available in your country can be ordered under the applicable standard agreements, terms, conditions, and prices in effect at the time. IBM reserves the right to modify or withdraw this Sales Manual at any time without notice. This Sales Manual is provided for your information only. Additional terms of use are located at

Terms of use


© IBM Corporation 2020.