SOLID WASTE MANAGEMENT SYSTEM OF FENI PAURASHAVA, BANGLADESH.pdf
Tools for Human-Product Collaborative Development of Intelligent Product Service Systems
1. Collaborative Environment for Eco-Design of Product-
Services and Production Processes Integrating Highly
Personalised Innovative Functions
PRO-VE'16 - 17th IFIP Working Conference on Virtual Enterprises, Porto, Portugal
Date 03.10.2016
Prepared by: Sebastian Scholze, Ana Correia, Dragan Stokic, Kevin Nagorny, Philipp Spindler
Tools for Human-Product Collaborative
Development
of Intelligent Product Service Systems
Special Session: Intelligent Product Ecosystems
Cloud Manufacturing and Social Software Based
Context Sensitive Product-Service Engineering
Environment for Globally Distributed Enterprise
2. • This work is partly supported by the
– PROSECO (Collaborative Environment for Eco
Design of Product-Services and Production
Processes Integrating Highly Personalized
Innovative Functions) project of European Union’s
7th Framework Program, under the grant agreement
no. NMP2-2013-609143:
– DIVERSITY (Cloud Manufacturing and Social
Software Based Context Sensitive Product-Service
Engineering Environment for Globally Distributed
Enterprise) project of EU’s H2020 framework, under
the grant agreement no. 636692.
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 2
Acknowledgement
3. • Objective of this research is to develop new tools
for development of Intelligent Product Service
Systems (IPSS) around smart products.
• Modern smart products include more and more
cyber physical features as a basis for their
intelligence.
• Rational:
– Cyber physical features (CPF) are sensory systems and
various intelligent features integrated in products
– CPF allow to build various intelligent services
encompassing such products to build for example IPSS
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 3
Background
4. • The objective of the research shown in this paper is to
develop Collaborative Networks supporting the
development of IPSS
– comprising both humans and IPSS itself.
• In such collaborative networks, besides stakeholders
normally involved in development, IPSS can play an
active role.
• IPSS may pro-actively provide information about the
product use to support the development of intelligent
products / services.
• Such an approach requires new tools and
environments for IPSS development.
– Collaborative environments and tools to support collaboration
between humans and IPSS are currently missing.
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 4
Objectives
5. • The development of IPSS around products with CPF
requires
– involvement of all stakeholders from the whole value chain
• there is a need for building innovative Collaborative Networks
involving Human stakeholders AND IPSS
– ICT environment for effective and collaborative development of
IPSS
• The ICT environment may involve various engineering
tools, such as
– Idea Creation, Simulation, PDM/PLM, Data Mining, Sensor
Selection, Context Modelling, Feedback Tool, etc.
• These tools allow for collaborative work of various
human stakeholders
– For many of these tools, IPSS may actively provide data
needed for the engineering tasks covered by the tools
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 5
Vision of an IPSS Collaborative Environment
7. • The Development Environment may include
diverse engineering tools
• Three key tools have been identified,
– that are typical for a Human<->IPSS collaboration
– Where IPSS may pro-actively support the
development process
– Tool to Select Sensors and Intelligent Features
– Tool to model context of IPSS use
– Tool analyse Feedback
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 7
Tools to Support Human-Product
Collaborative Development
8. • The approach proposed is to apply CPF as powerful
source of information needed for development of IPSS
• The tool specifically supports user in selection of
information from CPF which are available at the product
and / or processes where it is manufactured or where it
is used
• The new method for selection/definition of CPF
supports users to select CPF
which should enable the
implementation of various IPSS
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 8
Tool to Select Sensors and Intelligent Features
CPF
systems
Features
PES
Features
This approach allows for
simplification of selection of
the CPF for a specific IPSS
10. • The context awareness approach allows for observation of
changes in circumstances in which a product is used, which
in turn allows for a dynamic adaptation of the product to
these varying conditions.
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 10
Tool to model context of IPSS use
11. In general, the method to select relevant context concepts
includes the following steps:
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 11
Tool to model context of IPSS use
Define IPSS
Define which changes
in the IPSS output
due to context change
have sense to be
provided by IPSS
Define how “worthy” are
these adaptation i.e. define
benefits which can be
achieved by provision of
such adaptation of product
Define the concepts
which really
influence the
context, to be used
Explore how
information on
these concepts can
be obtained (on-
line)
13. • The tool applies a method for modelling
feedback patterns, which is continuously
improved
– Using self-learning approach, using measurement
data and data obtained from the selected sensors
• The tool includes mechanisms to capture the
behaviour of users to provide feedback
• The tool includes three basic functionalities:
– feedback from business customers,
– feedback from consumers,
– feedback provided by the IPSS themselves.
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 13
Feedback tool
14. • Machine industry is a typical sector in need for new
methods and tools for development of IPSS
– Example: companies are today facing a new paradigm
“Mass Customization”
• Case Study
– A company producing machines for shoe industry needs
to combine feedback from shoe manufacturers and
feedback from the shoe buyers in order to improve their
machines and services around machines to allow mass
customization of shoes.
• Aims at shoe machines performance / usability improvements,
• reduction of the lifecycle CO2 footprint of machine-services.
– Knowledge from service teams, business customers and
comsumers is of key interest
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 14
Potential Application
15. • Feedback from Service Teams and Business
Customers
– Via a system where machines and services are delivering
automatically feedback
– Via a system that gathers knowledge from machine and
process designers, shop-floor experts and customers
• Feedback from Comsumers
– Via Shoe shops where the consumers may design /
customize their own shoes and by this implicitly and
automatically provide knowledge on their needs
Feedback from diverse actors will be collected
and provided to machine and service designers
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 15
Potential Application
16. • The concept of Intelligent PSS is introduced.
• Three tools are presented that are typical examples of
novel engineering functionalities needed for the
development of collaborative IPSS.
– Tool to Select Sensors and Intelligent Features,
– Tool to model context of IPSS,
– Tool to analyse Feedback.
• Expected benefits:
– reduction of time/efforts for development/update of IPSS.
– allow for an increase in number of innovative
(personalized) IPSS.
– reduction of time to market of IPSS with CPF.
Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 16
Conclusions
17. Pro-VE'16 03-05.10.2016 Sebastian Scholze, ATB-Bremen 17
DIVERSITY
(636692)
Cloud Manufacturing and
Social Software Based Context
Sensitive Product-Service
Engineering Environment for
Globally Distributed Enterprise
www.diversity-project.eu
ProSEco
(NMP2-2013-609143)
Collaborative Environment for
Eco-Design of Product-
Services and Production
Processes Integrating Highly
Personalised Innovative
Functions
www.proseco-project.eu
Editor's Notes
The tool specifically supports user in selection of information for PES from CPF which are available at the product and/or processes where it is manufactured or where it is used: selection/definition of CPF which may be added to the product (and process) to meet the need of PES specification of processing of information from CPF for PES, i.e. definition of (low level) processing of data obtained from CPF (e.g., grouping, histograms, data binning correlating of signals etc.).
The approach proposed is to apply CPF as powerful source of information needed for PES to: realize its key functionality, identify context of product-service use or to identify context under which the product is produced or used – needed to “personalize” product-services, identify environmental impact aspects, provide data for various data mining analysis such as identify usage patterns, environmental impact patterns etc. to be used for improved product/PES design and marketing.
Enhancement of the product: e.g. select CPF which allow building of PES for effective diagnostics of possible problems in product use (e.g. on the car or machine)
The objective is to investigate how context sensitivity can be used to achieve a high adaptability of products and PES. The idea is make PES context sensitive. The key assumption is that the proposed context sensitive solution can be easily adjusted to allow for adaptation of wide scopes of products and PES.
Sub-points of the last point:
If these information are available with already existing sensors/CPF explore what will be efforts to produce SW service to process this information and extract current context;
If these information cannot be obtained based on the sensors/CPF available at the product or processes, then explore what will be efforts/costs to add such sensors at the product/process to produce SW service to process this information and extract current context;
if the sum of efforts/investments for all information needed can be paid back in less than 2 years then it has sense to make it.
