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Make
production
flexible
Dynamic Process Execution (DPE) is a novel
approach of how to organize production
environments, enabling a more agile, flexible and
sustainable way of production.
Dynamic Process Execution Systems are a new
type of Enterprise software, acting as an
intelligent layer on top of existing systems such
as Connected Worker Systems or MES providing
the needed flexibility and real-time process
execution capabilities.
Typically manufacturing companies use
Dynamic Process Execution to remedy
challenges such as
- volatile demands resulting in the need to
react quickly to changing demands
- fragile supply chains with many missing parts
- and a lack of skilled workforce
With Dynamic Process Execution, static
production plans are broken down into smaller
segments. These segments flow into each other
using process automation based on a
predefined set of business rules. If things do not
work according to plan or individual work
processes get delayed, a Dynamic Process
Execution System is able to adapt the process
sequence automatically.
Welcome to
Dynamic Process Execution
Step 3:
Corrective
action
The employee
solves the
problem directly
in the
production line
Example
Step 1: Issue
reporting
A worker reports
a quality problem
from a workstation
Step 2:
Automated
coordination
The DPE system
coordinates multiple
workers using mobile
devices and assigns
tasks to the relevant
target group
EXAMPLE
FORKLIFT COORDINATION USING
DYNAMIC PROCESS EXECUTION
In a typical Dynamic Process
Execution system, each functional
area is connected to other areas by
sending events from one to the other.
These events are pull or push driven,
so one area could monitor another
area for a condition occurring in which
there will be new work created for that
area. Additionally an area can push
into another area and directly create
requests there.
Example: a forklift is only needed if a
product is finished in a certain
production area. Within the Dynamic
Process Execution system, a "logistics
function" can monitor the "assembly
function" for completion or the
"assembly function" could ask the
"logistics function" for transport. Both
ways are possible and can be mixed to
whatever degree required.
The result of this dynamic workflow
modeling is that areas of concern are
loosely coupled and self optimizing in
a way that if a task is created in a new
area, the system will determine the
optimal way of execution (e.g. directly
send a notification to a forklift driver).
The individual workers are then given
some degree of autonomy to optimize
their own work processes. The result is
an optimal combination of system and
human intelligence.
How Dynamic Process
Execution works
Dynamic Process Execution help people,
machines and materials work together.
By using Dynamic Process Execution, all work
will be automatically coordinated in real-time.
This allows for fully dynamic process design,
where processes become adaptable to ad
hoc changes in the production flow.
Interruptions of plans become less of an issue
and operators can make better decisions
based on an accurate view of all relevant data
points.
Production planners can plan their processes
in a much simpler way since they do not need
to look at the end-to-end chain of tasks.
Instead they can break down the whole
process into small chunks that only concern a
subset of the people, for example
coordinating forklift drivers. This allows to
construct an optimal process in an
encapsulated way where the expertise of
people performing such jobs is directly
transferred into the digital workflow.
The main difference to today’s systems is
that Dynamic Process Execution
automatically coordinates all aspects of the
production process in real time: man, machine
and material. Legacy systems typically only
focus on the machine and material aspect
and assume that things will go well on the
people part.
SUPPLY CHAIN
MATERIAL NOT
DELIVERED IN TIME
CUSTOMER DEMAND
WORKSTATION
OVERLOADED
SKILL GAP
QUALITY ISSUE
NOT DETECTED
EARLY ENOUGH
4
1
5
7
Manufacturing has become increasingly complex and
traditional production systems fail
SUPPLY CHAIN
MATERIAL NOT
DELIVERED IN TIME
CHANGE
WORKSTATION
7
4
1 2
5
6
3
CHANGE
SEQUENCE
CHANGE
TIMING
CUSTOMER DEMAND
WORKSTATION
OVERLOADED
SKILL GAP
QUALITY ISSUE
NOT DETECTED
EARLY ENOUGH
Dynamic Process Execution systems
make production more flexible
DPE splits work into small chunks and each
chunk is orchestrated dynamically.
The software optimizes throughput by:
● Selecting the person responsible
● Determining best location
● Calculating correct timing
● Changing the work sequence
● Forecasting workload
Benefits of Dynamic
Process Execution
Dynamic Process Execution systems offer a
wide range of benefits for businesses. By
enabling real-time and data-driven production
processes, DPE systems allow for increased
flexibility, better decision-making capabilities,
improved throughput, reduced machine
downtimes and improved productivity.
Flexibility is key to optimizing processes in
manufacturing operations. Through dynamic
process execution, production planners can
break down their processes into smaller chunks
that only concern a subset of the people. This
allows them to construct an optimal process in
an encapsulated way. The Dynamic Process
Execution system then becomes adaptable to
ad-hoc changes in the production flow and
simplifies the planning process by not requiring
a full end-to-end chain of tasks.
Dynamic Process Execution also enables better
decision making capabilities due to its real-time
coordination across human workers, machines
and material on one digital platform. This
allows businesses to make more informed
decisions based on an accurate view of all
relevant data points that could be previously
difficult or time consuming to track manually.
Finally, Dynamic Process Execution systems
help improve productivity through their ability
to optimize workflows in order for individual
workers to have more autonomy over their own
work processes. By empowering employees
with more control over their workflow, Dynamic
Process Execution helps streamline processes
so that each task follows the most efficient
sequence for completion. As a result production
throughput is increased, quality costs are
reduced, and overall productivity is improved -
ultimately resulting in greater financial returns
for businesses.
By using Dynamic Process
Execution, WORKERBASE
customers were able to achieve
significant improvements from:
➔ Prevention of line stops
using a combination of
forecasting of
interruptions and
preventive worker
assistance.
➔ 20%+ uplift in worker
efficiency by coordinating
work using dynamic
worker skill profiles as
opposed to static job
assignments.
➔ Reduction of scrap by
dynamically scheduling
quality controls.
➔ 5%+ increase of OEE from
reducing response times
and assigning issues to
the correct members of
staff.
➔ Ship more products each
day by using in-line
quality handling.
Core elements of Dynamic Process Execution -
turn your data into action
The WORKERBASE Connected Worker platform includes a powerful process automation
component that allows to implement Dynamic Process execution. It includes the following
key capabilities:
➔ Work coordination to automatically orchestrate tasks and processes based on real-
time data. Workflows are automatically triggered without manual intervention when
the previous phase is completed.
➔ Group coordination to automatically assigns tasks based on workload distribution
and skill levels to find the perfect person for the job. Notifying supervisors, sending
alerts to maintenance teams, and rerouting tasks has never been easier.
➔ Task priorization to automatically prioritize tasks based on resource availability and
production goals. Critical tasks receive attention when needed. Priorities are
adjusted in real-time to meet changing demand.
➔ AI-driven processes to automatically analyze real-time data to anticipate
disruptions and adapt workflows. Our advanced AI technology creates self-
optimizing processes that keep you ahead of the curve.
All process automation functionalities are deeply integrated with the state-of-the art
Connected Worker functionalities such Work instructions, Checklists, Continuous
improvement or Collaboration and leverage platform functionality such as the Low-Code
App Builder, Data Connectors, Data Analytics and Governance & Compliance.
Examples of using
Dynamic Process Execution
in Manufacturing
Dynamic Process Execution can be used in various business contexts to
improve the efficiency and accuracy of production processes. The real-
time coordination of man, machine and material is the part where most
friction occurs. Let's highlight a few examples:
➔ Material is delivered late and people need to improvise. But they
only improvise on insufficient data since they are not aware of all
aspects of the production flow.
➔ Operators need help but only can use legacy hard buttons to send
support requests. The result: all context data about process
disruptions get lost and it takes very long to initiate corrective
measures.
➔ Unfinished machines (or cars) pile up at the assembly line and
need to be parked in dedicated areas because of rework that
needs to be done. Existing production systems are not prepared
for huge amounts of rework.
In such situations Dynamic Process Execution enables more timely
reactions in case of problems, the early identification of defects and
supports optimal decision making at any point in time.
For example, DPE could be used to coordinate forklift drivers, ensuring
that they are deployed in response to the most efficient and effective
manner possible. This could help to reduce delays and optimize
throughput, while also increasing accuracy when fulfilling orders. In a
warehouse setting, DPE can be used to identify potential bottlenecks or
errors in the inventory flow process. By analyzing real-time data, it can
help identify areas that require more attention or need additional staffing.
In this way, it helps ensure that products are delivered on time and with
minimal discrepancies.
Overall, Dynamic Process Execution provides numerous advantages which
can help streamline business processes and ensure greater efficiency
across functions such as assembly, machine operations, quality
management and maintenance. When implemented correctly with real-
time data integration capabilities, it has been proven to be an invaluable
tool for optimizing operations without compromising quality or safety
standards across different factories.
Using Dynamic
Process Execution
effectively
Dynamic Process Execution systems can
help optimize production processes by
improving throughput, reducing quality
costs, and increasing productivity. They
enable real-time coordination of man,
machine and material to react more quickly
in the situation of problems. By providing
real-time data for real-time actions, they
allow early identification of defects and
enable decision making at any point in time
to remove friction immediately and prevent
future failures. A typical DPE system is
composed of a low-code environment with
easy workflow apps that run on mobile
devices, process automation capabilities,
and system integrations that connect DPE
systems to legacy production systems such
as MES or ERP software. In summary,
Dynamic Process Execution systems are an
efficient way to improve production
processes with better coordination of man,
machine, and material.
For more information visit
workerbase.com
WORKERBASE helps world-class manufacturing companies to create the agile factory
and enables flexible and sustainable production processes. We deliver value in
months not years. The WORKERBASE Connected Worker Platform includes all
required Dynamic Process Execution functions and acts as an intelligent layer on top
of your operations leveraging real-time process data to boost factory output and
product quality at enterprise scale.
Workerbase GmbH - Rosenheimer Str. 139 - 81671 München - Germany

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Whitepaper DPE.pptx

  • 1. Make production flexible Dynamic Process Execution (DPE) is a novel approach of how to organize production environments, enabling a more agile, flexible and sustainable way of production. Dynamic Process Execution Systems are a new type of Enterprise software, acting as an intelligent layer on top of existing systems such as Connected Worker Systems or MES providing the needed flexibility and real-time process execution capabilities. Typically manufacturing companies use Dynamic Process Execution to remedy challenges such as - volatile demands resulting in the need to react quickly to changing demands - fragile supply chains with many missing parts - and a lack of skilled workforce With Dynamic Process Execution, static production plans are broken down into smaller segments. These segments flow into each other using process automation based on a predefined set of business rules. If things do not work according to plan or individual work processes get delayed, a Dynamic Process Execution System is able to adapt the process sequence automatically. Welcome to Dynamic Process Execution Step 3: Corrective action The employee solves the problem directly in the production line Example Step 1: Issue reporting A worker reports a quality problem from a workstation Step 2: Automated coordination The DPE system coordinates multiple workers using mobile devices and assigns tasks to the relevant target group
  • 2. EXAMPLE FORKLIFT COORDINATION USING DYNAMIC PROCESS EXECUTION In a typical Dynamic Process Execution system, each functional area is connected to other areas by sending events from one to the other. These events are pull or push driven, so one area could monitor another area for a condition occurring in which there will be new work created for that area. Additionally an area can push into another area and directly create requests there. Example: a forklift is only needed if a product is finished in a certain production area. Within the Dynamic Process Execution system, a "logistics function" can monitor the "assembly function" for completion or the "assembly function" could ask the "logistics function" for transport. Both ways are possible and can be mixed to whatever degree required. The result of this dynamic workflow modeling is that areas of concern are loosely coupled and self optimizing in a way that if a task is created in a new area, the system will determine the optimal way of execution (e.g. directly send a notification to a forklift driver). The individual workers are then given some degree of autonomy to optimize their own work processes. The result is an optimal combination of system and human intelligence. How Dynamic Process Execution works Dynamic Process Execution help people, machines and materials work together. By using Dynamic Process Execution, all work will be automatically coordinated in real-time. This allows for fully dynamic process design, where processes become adaptable to ad hoc changes in the production flow. Interruptions of plans become less of an issue and operators can make better decisions based on an accurate view of all relevant data points. Production planners can plan their processes in a much simpler way since they do not need to look at the end-to-end chain of tasks. Instead they can break down the whole process into small chunks that only concern a subset of the people, for example coordinating forklift drivers. This allows to construct an optimal process in an encapsulated way where the expertise of people performing such jobs is directly transferred into the digital workflow. The main difference to today’s systems is that Dynamic Process Execution automatically coordinates all aspects of the production process in real time: man, machine and material. Legacy systems typically only focus on the machine and material aspect and assume that things will go well on the people part.
  • 3. SUPPLY CHAIN MATERIAL NOT DELIVERED IN TIME CUSTOMER DEMAND WORKSTATION OVERLOADED SKILL GAP QUALITY ISSUE NOT DETECTED EARLY ENOUGH 4 1 5 7 Manufacturing has become increasingly complex and traditional production systems fail SUPPLY CHAIN MATERIAL NOT DELIVERED IN TIME CHANGE WORKSTATION 7 4 1 2 5 6 3 CHANGE SEQUENCE CHANGE TIMING CUSTOMER DEMAND WORKSTATION OVERLOADED SKILL GAP QUALITY ISSUE NOT DETECTED EARLY ENOUGH Dynamic Process Execution systems make production more flexible DPE splits work into small chunks and each chunk is orchestrated dynamically. The software optimizes throughput by: ● Selecting the person responsible ● Determining best location ● Calculating correct timing ● Changing the work sequence ● Forecasting workload
  • 4. Benefits of Dynamic Process Execution Dynamic Process Execution systems offer a wide range of benefits for businesses. By enabling real-time and data-driven production processes, DPE systems allow for increased flexibility, better decision-making capabilities, improved throughput, reduced machine downtimes and improved productivity. Flexibility is key to optimizing processes in manufacturing operations. Through dynamic process execution, production planners can break down their processes into smaller chunks that only concern a subset of the people. This allows them to construct an optimal process in an encapsulated way. The Dynamic Process Execution system then becomes adaptable to ad-hoc changes in the production flow and simplifies the planning process by not requiring a full end-to-end chain of tasks. Dynamic Process Execution also enables better decision making capabilities due to its real-time coordination across human workers, machines and material on one digital platform. This allows businesses to make more informed decisions based on an accurate view of all relevant data points that could be previously difficult or time consuming to track manually. Finally, Dynamic Process Execution systems help improve productivity through their ability to optimize workflows in order for individual workers to have more autonomy over their own work processes. By empowering employees with more control over their workflow, Dynamic Process Execution helps streamline processes so that each task follows the most efficient sequence for completion. As a result production throughput is increased, quality costs are reduced, and overall productivity is improved - ultimately resulting in greater financial returns for businesses. By using Dynamic Process Execution, WORKERBASE customers were able to achieve significant improvements from: ➔ Prevention of line stops using a combination of forecasting of interruptions and preventive worker assistance. ➔ 20%+ uplift in worker efficiency by coordinating work using dynamic worker skill profiles as opposed to static job assignments. ➔ Reduction of scrap by dynamically scheduling quality controls. ➔ 5%+ increase of OEE from reducing response times and assigning issues to the correct members of staff. ➔ Ship more products each day by using in-line quality handling.
  • 5. Core elements of Dynamic Process Execution - turn your data into action The WORKERBASE Connected Worker platform includes a powerful process automation component that allows to implement Dynamic Process execution. It includes the following key capabilities: ➔ Work coordination to automatically orchestrate tasks and processes based on real- time data. Workflows are automatically triggered without manual intervention when the previous phase is completed. ➔ Group coordination to automatically assigns tasks based on workload distribution and skill levels to find the perfect person for the job. Notifying supervisors, sending alerts to maintenance teams, and rerouting tasks has never been easier. ➔ Task priorization to automatically prioritize tasks based on resource availability and production goals. Critical tasks receive attention when needed. Priorities are adjusted in real-time to meet changing demand. ➔ AI-driven processes to automatically analyze real-time data to anticipate disruptions and adapt workflows. Our advanced AI technology creates self- optimizing processes that keep you ahead of the curve. All process automation functionalities are deeply integrated with the state-of-the art Connected Worker functionalities such Work instructions, Checklists, Continuous improvement or Collaboration and leverage platform functionality such as the Low-Code App Builder, Data Connectors, Data Analytics and Governance & Compliance.
  • 6. Examples of using Dynamic Process Execution in Manufacturing Dynamic Process Execution can be used in various business contexts to improve the efficiency and accuracy of production processes. The real- time coordination of man, machine and material is the part where most friction occurs. Let's highlight a few examples: ➔ Material is delivered late and people need to improvise. But they only improvise on insufficient data since they are not aware of all aspects of the production flow. ➔ Operators need help but only can use legacy hard buttons to send support requests. The result: all context data about process disruptions get lost and it takes very long to initiate corrective measures. ➔ Unfinished machines (or cars) pile up at the assembly line and need to be parked in dedicated areas because of rework that needs to be done. Existing production systems are not prepared for huge amounts of rework. In such situations Dynamic Process Execution enables more timely reactions in case of problems, the early identification of defects and supports optimal decision making at any point in time. For example, DPE could be used to coordinate forklift drivers, ensuring that they are deployed in response to the most efficient and effective manner possible. This could help to reduce delays and optimize throughput, while also increasing accuracy when fulfilling orders. In a warehouse setting, DPE can be used to identify potential bottlenecks or errors in the inventory flow process. By analyzing real-time data, it can help identify areas that require more attention or need additional staffing. In this way, it helps ensure that products are delivered on time and with minimal discrepancies. Overall, Dynamic Process Execution provides numerous advantages which can help streamline business processes and ensure greater efficiency across functions such as assembly, machine operations, quality management and maintenance. When implemented correctly with real- time data integration capabilities, it has been proven to be an invaluable tool for optimizing operations without compromising quality or safety standards across different factories.
  • 7. Using Dynamic Process Execution effectively Dynamic Process Execution systems can help optimize production processes by improving throughput, reducing quality costs, and increasing productivity. They enable real-time coordination of man, machine and material to react more quickly in the situation of problems. By providing real-time data for real-time actions, they allow early identification of defects and enable decision making at any point in time to remove friction immediately and prevent future failures. A typical DPE system is composed of a low-code environment with easy workflow apps that run on mobile devices, process automation capabilities, and system integrations that connect DPE systems to legacy production systems such as MES or ERP software. In summary, Dynamic Process Execution systems are an efficient way to improve production processes with better coordination of man, machine, and material. For more information visit workerbase.com WORKERBASE helps world-class manufacturing companies to create the agile factory and enables flexible and sustainable production processes. We deliver value in months not years. The WORKERBASE Connected Worker Platform includes all required Dynamic Process Execution functions and acts as an intelligent layer on top of your operations leveraging real-time process data to boost factory output and product quality at enterprise scale. Workerbase GmbH - Rosenheimer Str. 139 - 81671 München - Germany