Operation
❯
Automate operation - Robotization
❯Order-controlled production
Large Companies
NLP - Text summarization
For:
Media Intelligence Analysts
Scope:
Using Abstractive Text Summarization to reduce analysis costs for media monitoring.
Goal:
Improve Operation Efficiency
Robotic prehension of objects
For:
Customers, 3 rd parties, end users, community
Scope:
Outputting the end effector velocity and rotation vector in response to the view
from a red green blue depth (RGB-D) camera located on a robot's wrist.
Goal:
Improve Operation Efficiency
Adaptable factory
For:
Component suppliers (sensors, actuators), machine builders, system integrators,
plant operators (manufacturer)
Scope:
(Semi-)Automatic change of a production systems capacities and capabilities
from a behavioural and physical point of view.
Goal:
Improve Operation Efficiency
Empowering autonomous flow meter control - reducing time taken for proving of meters
For:
Process industries; humans
Scope:
Calibration of control devices
Goal:
Other
Device control using AI consisting of cloud computing and embedded system
For:
Equipment users, manufacturers, distributors
Scope:
Learn the user's preferred temperature in each situation for the control of home
appliances (air conditioning equipment).
Goal:
Other
Next Century Workforce: Partnering humans & robots to drive efficiency & growth
For:
Financial advisors
Bank employees
Goal:
Improved Employee Efficiency
Powering remote drilling command centre
For:
Oil and gas upstream sector; environment, humans
Scope:
Oil and gas upstream (Deployed in 150 oil rigs and 2,5 billion+ data points each)
Goal:
Other
Order-controlled production
For:
Customer, producing companies, broker
Scope:
Automatic distribution of production jobs across dynamic supplier networks
Goal:
Other
Robotic task automation: insertion
For:
Incorrect AI system use; new security threats
Scope:
Robotic assembly
Goal:
Other
Robotic vision scene awareness
For:
Customers, 3 rd parties, end users, community
Scope:
Determining the environment the robot is in and which actions are available to
it.
Goal:
Improve Operation Efficiency
Value-based service
For:
Customer (product user), platform provider, service provider, product provider
Scope:
Process and status data from production and product use sources are the raw
materials for future business models and services.
Goal:
Other
Order-controlled production
For:
Customer, producing companies, brokerGoal:
OtherProblem addressed
The objective is to enable automatic supplier contracting for optimized
utilization of manufacturing capabilities at suppliers, and novel degrees of
flexibility in contract manufacturing, and to enable (mass) customized customer
ordering.
Scope of use case
Automatic distribution of production jobs across dynamic supplier networks
Description
Use case description taken from References [127], [128] and
[129]. Many contemporary products are changing at an ever-
increasing rate. Whereas up until just recently, smartphone
displays were flat, the first curved displays are already on the
market. The array of materials used in the automotive sector
is also continually expanding from aluminium to high-
strength steels and even fibre-reinforced plastics, today
many types of materials are used.
Innovation and product cycles are getting shorter all the
time, and new production technologies are putting pressure
on manufacturing companies to react more and more rapidly
and make quick investment decisions regarding both
consumer goods and investment goods. In order to confront
this trend and avoid lengthy investment decisions,
companies are starting to increase the network of their production capabilities beyond their own company
boundaries.
Key aspects:
The Order-Controlled Production application scenario
describes a flexible manufacturing configuration. Owning a
network of production capabilities and capacities that
extend beyond factory and company boundaries, this
company can quickly adapt to a changing market and order
conditions, and thereby make the best use of capabilities and
capacities of existing production facilities. In this way the
potential provided by a network to other factories out-side
of the companys own facilities is used to align the companys
own portfolio and especially its production to quickly
changing customer and market demands. Specifically,
manufacturing chains are optimized for various parameters,
such as cost and time.
At its core, order-controlled production is based on
standardization of the individual process steps on the one
hand and the self-description of production facility
capabilities on the other. This standardization allows for
automated order planning, allocation and execution, thereby
considering all production steps and facilities required. This
helps to combine individual process modules much more
flexibly and quickly than previously possible, and to make
use of their specific capabilities.
In this respect, companies offer their available production
capacities to other companies and thereby increase the
utilization of their own machinery. Other companies may
access these capacities as needed, thereby temporarily
expanding their own production spectrum. In so doing,
available production capacities are utilized better and order
fluctuations can be smoothed out. The goal is to facilitate
linking external factories into a companys production
process and make it as automated as possible. In particular,
the order placement process required for this is expected to
be executed automatically.
Effect on value chains:
Todays relatively rigid and separately negotiated
relationships between companies along the value chain
would be transformed into a largely fragmented and
dynamic value chain network that changes as required by the
individual order. This applies both horizontally over the
entire manufacturing process as well as vertically, with
regard to production depth. Manufacturing companies focus
on value-added steps that distinguish them significantly
from other competitors. The possibility of creating fast and
global client-manufacturer relationships can lead to
unexpected competitive situations, because companies may
change their role from order to order. Dynamically
integrating production capacities would lead to better
machine utilization and, as a result, diminishing demand for
machinery suppliers.
Value added for participants: On the one hand, manufacturing companies would be able to
automatically expand their production capabilities and
capacities ad hoc in line with demand, by utilizing external
production modules. No investment is required. This enables
companies to react very flexibly to changing market and
customer demands. On the other hand, companies offering
their machines on the market can optimize their utilization
rates.