LITOSTROJ POWER STATE OF THE ART Background, field of expertise, - - PowerPoint PPT Presentation
LITOSTROJ POWER STATE OF THE ART Background, field of expertise, - - PowerPoint PPT Presentation
PROJEKT: E! 4177 PRO-FACTORY UES Ubiquitous oriented embedded systems for globally distributed factories of manufacturing enterprises 1.7.2008-31.6.2011 LITOSTROJ POWER STATE OF THE ART Background, field of expertise, activities within
Boža Pustovrh Martinčič, E!4177 – Ubiquitous embedded systems, Gijon
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PROJEKT: E! 4177 PRO-FACTORY UES Ubiquitous oriented embedded systems for globally distributed factories of manufacturing enterprises 1.7.2008-31.6.2011
LITOSTROJ POWER – STATE OF THE ART Background, field of expertise, activities within project
Boža Pustovrh Martinčič & Borut Rihtaršič
LITOSTROJ E.I., Ljubljana Kick-off-meeting Gijon, 13th November 2008
Boža Pustovrh Martinčič, E!4177 – Ubiquitous embedded systems, Gijon
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E! 4177 PRO-FACTORY UES
Contents:
- Introducing
- Background
- Field of expertise
- Activities within project
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Boža Pustovrh Martinčič, E!4177 – Ubiquitous embedded systems, Gijon
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Boža Pustovrh Martinčič, E!4177 – Ubiquitous embedded systems, Gijon
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EUREKA EXPIRIENCE
- E! 1156 INTO ISYTRANS Development And Integral Structuring Of
Technology, Methods Of Organization, Man And The Environment For Implementation Of Organization Concepts Management Structures In The Field Of European Railroad Track Vehicle
- Construction. (1992-1994)
- E! 2404 Eureka-Factory EURAS Market oriented flexible assembly
processes, Germany, Hungary, Sweden, Slovenia, (2000-2001)
- E! 2612 Eureka-Factory COSAP: Customer -oriented design of on-
site assembly processes, Germany, Hungary, Sweden, Slovenia, (2001-2004)
- E! 2736 Eureka-Factory TRUST: Use of Regional Potentials With
Respect To Problem-Solving Processes in Production Germany, Italy, Slovenia, (2002-2004)
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Boža Pustovrh Martinčič, E!4177 – Ubiquitous embedded systems, Gijon
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BACKGROUND AND MOTIVATION
Manufacturing issues
- One of the most important characteristics of the modern
manufacturing and fabrication business is its complexity and non determinism (inputs are non-deterministic, system is unstable, environment is unpredictable).
- Project management and order development in modern network
- rganisation are preformed in distributed environment.
- In dynamically changing environment, important requirement for
effective management and control of a workshop is efficient and accurate monitoring of production, decentralized decision making and an efficient co-ordination of autonomous interacting entities.
- The basic problem is that we deal with inaccurate production data,
which leads to inaccurate reporting and consequently poor non-
- ptimal decisions.
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BACKGROUND AND MOTIVATION
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OBJECTIVES
- to build an autonomous system for decision making shop floor control,
- designed in such a way that different types of users can address
different levels of information,
- accessible anytime from anywhere,
- access for different type of Log-in users,
- data and access security,
- fully integrated solution (ERP, CAD, CAPP,…),
- easy navigation,
- no extra software needed (only web browser),
- build on and with the latest programming technologies and tools (.NET
technology).
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PROJECTS LEADING
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OBJECTIVES
Project managing Department managing Function managing Function managing Function realization
Multiproject coordination
[looking for global solution]
Enterprise leading
Company Management Level Department Management Level Operational & Resource Management Level IN OUT
Function realization
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CURRENT SITUATION in IT & GAP
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IT MODEL of PRODUCTION COMPANY
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WORKSHOP MODEL
(functional view)
SCHEDULING DISPATCHING PREPARATION
HIGHER LEVEL PLANNED WORK ORDERS DOCUMENTATION MATERIAL WORK ORDER IN PROCESSING
OPEARATION DETAILING
TOOLS WORK PLACE (RESOURCES) PROJECT COORDINATION DOCUMENTATION INSTRUCTIONS OPERATION STATES WORK PIECE SYSTEM BDE / MDE / CAQ
WORKSHOP
OPERATION STATES
OPERATION
MICRO PLANNER WORK MANAGER PLANT MANAGER WORK MANAGER PREPARATOR OPERATOR
PLANT CONTROL SYSTEM
CONTROL COORINATION PLAN
WORKSHOP CONTROL
MICRO PLANNER
Boža Pustovrh Martinčič, E!4177 – Ubiquitous embedded systems, Gijon
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WORKSHOP MODEL
(functional view)
SCHEDULING DISPATCHING PREPARATION
HIGHER LEVEL PLANNED WORK ORDERS DOCUMENTATION MATERIAL WORK ORDER IN PROCESSING
OPEARATION DETAILING
TOOLS WORK PLACE (RESOURCES) PROJECT COORDINATION DOCUMENTATION INSTRUCTIONS OPERATION STATES WORK PIECE SYSTEM BDE / MDE / CAQ
WORKSHOP
OPERATION STATES
OPERATION
MICRO PLANNER WORK MANAGER PLANT MANAGER WORK MANAGER PREPARATOR OPERATOR
PLANT CONTROL SYSTEM
CONTROL COORINATION PLAN
WORKSHOP CONTROL
MICRO PLANNER
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BASIC ELEMENTS OF IMPLEMENTATION
- Web technologies: ASP.NET (Active Server Pages) as programming
environment, C# as primary programming language.
- Relational Database Management Systems (RDBMS): SQL Server
2005 on Windows Server 2003, T-SQL language for data retrieval.
- Visual Studio 2005.NET Professional edition for web application
development & Touch Panel PC desktop application.
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DIFFERENT TYPS OF PRODUCTION COMPANIES
- ETO – engineering to order (welding, machining, assembly)
- ATO – assembly to order
- MTO – manufacturing to order
- MTS – manufacturing to stock
- Develop for each type is needed.
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OPPORTUNITIES
1. Production of welding parts process 2. Delivery, transport and build in process 3. Logistics in assembly department: preparing assembly parts, warehousing and internal transport 4. Development documentation in workshop: tracing, changing control CHALLENGES: planning & controlling, transability, quality, tracking & tracing
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WELDING PARTS PRODUCTION PROCESS
- A lot of different products at the same time
- Big dimensions (to 5 m and more)
- Each product is made of a lot of welding parts (sometimes over
100)
- Information are very important:
– More than 5000 operations per month (to plan & control) – About 10.000 different documents every month (working orders, transport documents, drawings, sketches, heat treatment charts, welding book,…)
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WELDING PARTS PRODUCTION PROCESS - Motivation
- A need for advanced control of process (exacting piece of work to
- rder)
- No appropriate products on the market for support information flow
in ETO production
- Development of theoretical concepts on production cybernetics
(definition of EWS, collaboration work concepts in distributed environment)
- Development on information communication technology (net
technology, VPN, RFID feelers,…)
- Good experience with our system (shop floor support by net
technology)
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WELDING PARTS PRODUCTION PROCESS - Need
To develop a system, which offers:
- Prepared input information about technological procedures and
production planning data
- Support by planning and scheduling
- Collecting data about tasks, work equipment and work systems
statuses, process parameters and product quality characteristics
- Production situation evaluation and its characterization with
performance indicators
- Making decision on authentic (reliable, trusty), up-to-date
information and on prepared scenarios for standard procedures (work and typical problems)
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WELDING PARTS PRODUCTION PROCESS - Request
- More than one worker at the working place
- Tracking the worker, who works at different places during the
working day
- Exacting planning process (welding and machining change during
production)
- Traceability:
– Who worked on the specific product – Welding parts (from cutting to – Process parameters (electric current, voltage, welding velocity,…) – Quality control data (penetrant fluid inspection, ultrasound inspection, visual control,…)
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UBIQUITOUS SPACE FOR SHOP FLOOR MATERIALS TRACKING SYSTEM
- The most relevant static information a smart item can hold and
reveal is its identifier. Identifiers or names can be used to uniquely distinguish between single items of the same type of object.
- Design of ubiquitous space involve using of ubiquitous device
network of embedded systems which provides real time data interface over a wide range of tiny microprocessors, wireless sensors (Xbee(Zigbee)), RFID tags etc.
- This approach add more awareness to design of ubiquitous space.
This awareness means that the network can detect and respond to the environment, often without any human interaction.
- These autonomous networks are very scalable and flexible, allowing
self-discovery of new nodes and can cover large areas without the need for extensive fixed infrastructure. Sensor networks can be deployed very quickly and can use web services to integrate with
- ther IT systems.
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UBIQUITOUS SPACE FOR SHOP FLOOR MATERIALS TRACKING SYSTEM
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