The transformation towards Smart Manufacturing results in machines that are increasingly complex to use and to maintain, as well as in ever-complicated production processes. Coupled with a continuing reduction of staff, this leads to an increasing demand for information needs and work expertise. At the same time, these challenges offer the opportunity to enhance the employee’s leeway with respect to designing and organizing their work. The project APPsist focuses on how this transformation can be supported technically and organizationally. This paper presents the technical approach: an architecture for intelligent-adaptive assistance and knowledge services. The paper describes how process mapping identified the requirements of the APPsist system, and presents the identified services and their communication, as well as the intelligent-adaptive functionality of the services.
Assistance- and Knowledge-Services for Smart Production
1. Assistance- and Knowledge-Services
for Smart Production
Results from the APPsist Project
Carsten Ullrich, Matthias Aust, Roland Blach, Michael Dietrich, Christoph Igel, Niklas
Kreggenfeld, Denise Kahl, Christopher Prinz and Simon Schwantzer
Michael Dietrich
Center for Learning Technology
(CeLTech) im
Deutschen Forschungszentrum für
Künstliche Intelligenz
michael.dietrich@dfki.de
2. The Workplace is Transforming
Seite/Page 2
• Challenges for Europe's
manufacturing industry:
Increasing flexibility…
Ever increasing number of
product variants
Same time smaller batch sizes
(batch size 1)
Shorter product cycles
… while keeping/increasing level
of competitiveness
… with fewer and fewer
employees
Need for increasing flexibility of
shopfloor
usage of employees
3. Assistance- and Knowledge-Services
for Smart Production
• Information providing and training processes will become
– more flexible
– integrated in the workplace
– individualized
• Need for tools that
– adapt themselves intelligently to the knowledge level and tasks of the
human operators
– integrate and connect the knowledge sources available in the company
– generate useful recommendations of actions.
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7. Seite/Page 7
Process models represent a complete and applicable
description of steps required to perform a task
Process models are formally defined (BPMN) and
therefore
have a defined meaning
can be executed by process engines
Used as a basis for the intelligent assistance
Modelling the Maintenance Process Loctite empty
Get
required
items
Stop
station
Replace
materials
Start
station
Disposal
12. APPsist Ontology
Seite/Page 12
• Describes relevant concepts
for and their relationships
• User
• Content
• Manufacturing
• Representation in OWL
(Semantic Web standard)
• Used for communication
between services and for
reasoning by intelligent
services
13. User Model (current state)
• Connection to domain-model concepts
• Concepts from domain-model are enriched with user specific valuesOrdnet jedem
• Number RUNs (for processsteps)
• Number VIEWS (for contents/documents)
• Number USAGES (manufacturing/production objects)
• Relevant user properties
• Workplacegroups
• Permissions
• „State“: main working phase, side working phase
• Development Goals
• Mastered measures
14. Examples of Adaptivity in APPsist
Adaptivity with respect to three parameters:
Depending on the context:
1. Reacting to the current situation on the shop floor, e.g., Loctite is empty
Depending on the employee:
2. Reacting to recently occurring events (e.g., a large number of correctly or
incorrectly performed measures)
3. Long-term development goals (e.g., working towards a new job position)
23. Assistance- and Knowledge-Services
for Smart Production
Results from the APPsist Project
Carsten Ullrich, Matthias Aust, Roland Blach, Michael Dietrich, Christoph Igel, Niklas
Kreggenfeld, Denise Kahl, Christopher Prinz und Simon Schwantzer
Michael Dietrich
Center for Learning Technology
(CeLTech) im
Deutschen Forschungszentrum für
Künstliche Intelligenz
michael.dietrich@dfki.de
Editor's Notes
Service gateway (orchestrates microservice to one app)
Connector to databases
Service gateway (orchestrates microservice to one app)
Connector to databases
Development Goals have been set in talks with superiors.