Title: MAnufacturing Planning
1Agenda
- Introduction
- Factory Design and Planning
- Scheduling System
- Simulation engine with parallel and distributed
processing capability - Industrial Application - MNC Computer
Manufacturer
2MAPS Vision Directions
Planning Horizon
- Trends
- Factory planning ? Global planning
- Centralized computing ? Distributed
- Generic solutions ? Industry specific
- Point solutions ? Integrated solution
- Component based Innovative features
GOAL A unified distributed framework for global
Planning Scheduling
3Agenda
- Introduction
- Factory Design and Planning
- Scheduling System
- Simulation engine with parallel and distributed
processing capability - Industrial Application - MNC Computer
Manufacturer
4Industrial Land in Singapore
- High Property Prices
- Small Factory Size
- Competition
- Limited Supply of Industrial Land
- Need for Intensive Use of Land
- Need for Productive Use of Land
5Factory Planning and Design
Factory Planning
Resource
Physical
Automation Planning
Capacity Planning
Operation
Layout Planning
Production Planning
Materials Planning
Expansion Planning
Manpower Planning
Logistics Planning
6Current Activities in Gintic
7Current Activities in Gintic
8Scope And Approach
Systematic Layout Planning (S.L.P.) Macro
Simulated WIP and Job Flow Micro
5th Storey
4th Storey
3rd Storey
2nd Storey
1st Storey
Other issues - WIP - Policy - Requirements
9Industrial Projects
Project Title
Co. S P VP SchI99-M-033
Development of Industry Sector
JTC
I99-M-021 Development of Industry Sector
Specific JTC
I98-M-100 Plant Layout and Resource Capacity
GE
I98-M-060 Auditing and Recommendation to Enhance
.. Stamf I98-S-064
Test Optimization and Scheduling System (TOSS)
Siemen I97-S-061 AFS
of proposed new plant using simulation (Ph 2)
ATS I97-S-039 Business
Process Improvement to drive ..
NS I97-S-005 Study to Enhance
the Waste Management ... Stamf
I97-S-001 Regional Wide
Productivity Improvement Philips
I96-S-056 AFS of proposed new plant using
simulation (Ph 1) ATS
I96-S-047 Productivity improvement and
automation . CSG
I95-S-061 Business Process Improvement Project
to drive NS I95-S-060
Macro Plant Layout Design and Micro
Stamf I94-S-038
PSA-Container Operations Simulation (Ph 2)
Uraco I93-S-100
PSA-Container Operations Simulation (Ph 1)
Uraco
?
S - Situation Analysis P - Plant Layout
VP - Verify Plans Sch - Scheduling
10Industrial Project - 1(Printing Company -
Expansion Planning)
11Industrial Project - 2(Printing company -
Extension Planning)
12Industrial Project - 3 (Aircraft Component
repair - New Plant Layout)
13Current Activities in Gintic
Factory Planning
Resource
Physical
Automation Planning
Capacity Planning
Operation
Layout Planning
Production Planning
Materials Planning
Expansion Planning
Manpower Planning
Logistics Planning
14Proposed System Overview
Factory
Situation Analyzer
Plant Layout
Improved
Scheduling System
Visualizer
15Plant Layout
- Space
- Ergonomics
- Workflow
- Restrictions
Plant Layout
Layout Design
Verification
- Challenges
- Factory Layout Methodologies
- Layout Optimization
- Linkage of Layout to Model
Situation Analyzer
16Visualizer
- Look and feel
- Volumetric Space (Head room)
- Detailed Ergonomics
Visualizer
Physical Information
- Challenges
- 3-D Stereo-graphics Technology
- Virtual Reality Walk through Technology
Plant Layout
17Situation Analyzer
- Model to conduct experiments
- Ability to verify plans
- Ability to generate indicators
Situation Analyzer
- Challenges
- Input requirements to Model
- Output requirements to Scheduling System
- Model Logic requirements
- Attribute driven / Interactive
Schedule
Scheduling System
18Current State of Technology
Technology
Applications
- What If ?
- Capacity Planning
- System improvement
- Plans Verification
Situation Analyzer
Plant Layout
- Systematic Layout Planning
- Efficient work-flow
- Space utilization
- Rule Based
- Simulation Based
- Time line Heuristics
Scheduling System
- VRML
- QuickTime VR
- Auto-View
- CASUS System
Visualizer
19Integrated Solution
Situation Analyzer
Facility Layout Advisor
3D Visualizer
Scheduling System
20Factory Layout Design Example
21Benefits
- Use of advanced technologies to transform the
industrial facility development business. - For Industrial Facility Developers
- New Value Added Service.
- New Business Opportunity.
- For SMEs
- Cost Effective Simulation-based Facility Layout
Design. - Reduced time for regulatory approvals.
- Factory optimization.
22Agenda
- Introduction
- Factory Design and Planning
- Scheduling System
- Simulation engine with parallel and distributed
processing capability - Industrial Application - MNC Computer
Manufacturer
23Our Capability in Planning Scheduling
- Started Since 1987
- GSS, an in-house developed FCS system has been
successfully implemented - GSS development team in OSCA group has more than
18 professionals. - FCS implementation is done through Scheduling
Center and IDS-Gintic
24Our Capability in Planning Scheduling
- Specialized in Analysis, Design, Modeling and
Implementation - Requirement Analysis
- Design, Modeling and Analysis
- Recommendations
- Development and Customization
- Implementation and Integration
- User Training
- Systems Phasing-in
25Our Electronics Partners in Shop Floor
Finite Capacity Scheduling
Industry
Example
- Computer
- Semiconductor
- Disk Drive
- Consumer Electronics
- Other Electronics
- Electronics Components
- Apple Computer
- National Semiconductor
- Amkor Anam
- PT Astra Microtronics
- Hewlett Packard
- Seagate Technology International
- International Video Products
- Philips Singapore
- Elbiru Electronics
- Plaskon Electronics Material
26GSS Overview
27GSS
- Highly configurable for batch-oriented
manufacturing environment - Forward, Backward and bottleneck scheduling
algorithms - Initial Lot Release Generator (customized module
for semi-conductor assembly environment) - Constraints are handled as parameters or in a
table format - Model Single-stage or Multi-stage production
- Can be customized to integrate into specific
manufacturing environment
28Functional Modules of GSS
Operations Management Reports (Client
Internet)
CRM/Web
Graphical User Interface
Environment Model
Customer Orders, Product Priority, Part
Master, Routing
Rule Criteria Repository
WIP
Sub-Contractor Allocation
Resource Tree
Calendar Tree
M/C Setting Grouping
Report Generation
Inventory Management
Changeover Grouping
Tools Fixtures
Customer Requirements Management (CRM)
Capacity, Material Resource Constraints
Inventory Status
Net Work Orders
Gross Work Orders
Scheduling Re-scheduling Engines
29At Each Operation
- Min. Buffer Stock
- Max. Buffer Stock
- Transit Time
- Batching Hours/Days
- Scheduling Criteria
- Job-Prioritisation Rules
- Machine-Assignment Rules
- Conversion Matrix
- Blockout Period
- Centre level
- Machine Level
- Repetitive
- Operator Productivity
- Flexible of Machines
- Operating Vs Non-operating
- Machine Efficiency
- Preventive Maintenance 1. Operation Level 2.
Machine Level - Staggered Meal Shift
- MUST machines
- MUST_NOT machines
- PREFERENCE machines
- Non-Overlap Scheduling
- Production Rate
30Additional Features ...
- Flexible Scheduling Period
- Flexible number of Operations
- Flexible number of Machines
- Ability to handle Multiple constraints
- Ability to take WIP into consideration
- Tooling / fixture Constraints at operation
- Calendaring at Individual Resource
- Powerful What-if analysis capability
- Application of GT to eliminate setup losses
- Graphical User Interface
- Mouse and Menu Driven
- A platform for fully integrated solution
31Report Module
Operation
Management
Company Specific
- Gantt Chart
- By Resource
- By Job
- Unassigned Job
- Schedule by Job
- Schedule by Machine
- Late Jobs
- Throughput
- Fixture Usage
- Weekly Machine Requirements
- Daily M/C Utilisation
- with changeover
- without changeover
- Scheduling Model
- WIP
32Technical Specifications
- Microsoft Windows 95 (client) and Windows NT 4.0
(server) - SQL Server ver. 6.50
- Client-Server architecture utilizes Microsoft
Windows NT operating system running Microsoft
Windows client and Microsoft SQL Server. - Minimum Hardware Configuration -
- Client - PC (486 above) with 16 MB RAM
- Server - PC (Pentium 133 above) with 64 MB RAM
33Key Benefits (1/3)
- Improved resource utilization
- Reduce schedule changes, decrease in overheads
overtime charges - Reduce the inventory levels of raw materials,
work-in-process and finished goods - Improve planner productivity by eliminating the
tedious manual planning process and reduce the
planning time from days to minutes - Improve delivery performance and customer
satisfaction - React quickly and effectively to unexpected
changes - Provide accurate, reliable and realistic schedules
34Specific Benefits (2/3)
Example 1 - (Disk Drive Company) Planning time
is reduced 24 hours 0.5 hours per
week WIP is reduced 6.5 days 3.5
days Consistent and more accurate
schedule, better machine utilization
35Specific Benefits (3/3)
Example 2 In IC assembly test, a 3
improvement in valuable operating time at
constraint machine may result in a capital
avoidance in the order of US 1,000,000 to US
2,000,000.
36RD Roadmap
SC- Test/PE/PCBA Knowledge OO Methodology Advanced
DB System Architecture GA Knowledge
ATP Knowledge Schedule Analysis Approaches Other
Databases Internet Technology
3C/Mass Storage Knowledge Advanced Schedule
Analysis Technique Queuing Theory
Rule-based Engines SC-A T Knowledge ERP/MES
knowledge RDBMS GUI Tech
Product
2002
- SemiCon-Test (OO-Platform)
- PE Features
- PCBA Features
- 3-Tier Architecture
- Upgrade to SQL 7.0
- GA engine development
Development
2003
2004
2001
2000
- SemiCon-Assembly (Rule-Based Engine)
- Daily Lot Release Module
- Multi-Plant Capacity Planning
- Integration - ERP MES
- Oracle DB Compatibility
- SemiCon - Wafer Fab Features
- Advanced features
- Multi-Resources
- User defined rules
- Multi-pass algorithm
- Parallel Processing
- Available-To-Promise Module
- GA Engine Integration
- Schedule Analysis Module (using VF)
- Multi-DB Platform
- Web Interfaces
- 3C/Mass Storage Features
- Auto Engine Selector Module
- Queuing Theory based Cap. Plng. Lot Release
- Manual modification from Gantt Chart
37Agenda
- Introduction
- Factory Design and Planning
- Scheduling System
- Simulation engine with parallel and distributed
processing capability - Industrial Application - MNC Computer
Manufacturer
38A Joint Project
Gintic Institute of Manufacturing
Technology School of Computer
Engineering Nanyang Technological University
Parallel And Distributed Simulation (PADS)
Optimization Logistic Supply Chain
39Virtual Semiconductor Supply Chain
Wafer Fab 1
Wafer Fab 2
ICs
Wafers
Assembly Test
Shipment to Customers
Wafer Fab 3
Wafer Fab 4
40Georgia Tech CollaborationThe Supply Chain Model
Wafer Fab
AT
Warehouses
Distribution Centers
End Customers
41Obstacles
- Large scale supply chain simulation is time
consuming - Involves multiple companies that are
geographically distributed - Importance of data security for supply chain that
crosses the enterprise boundaries
42Enabling Technology Parallel Simulation
User interacts with tool as usual for model
building and running
- In the background, the system
- executes using PADS, and,
- compiles results together
User gets the results in the usual format but
MUCH FASTER!
43Virtual Semiconductor Supply Chain
Business simulates production and inventory
planning
Manufacturing simulates transformation of
materials
44Enabling Technology Distributed Simulation
- In the background, the system
- initiates remote model
- send/receive interactions through Internet
- compiles results together
HLA-RTI Internet
Users at different plant interact independently
with tool as usual for model building
45Execution of Virtual Supply Chain Simulation
Single Owner/Driver
Independent Partners
HQ
Distributed Simulation via Internet
Centralized Simulation (Parallel Engine)
Data security / information hidding
46Distributed Simulation Across Internet
Supply Chain Model
Partition 2
Partition 1
Sub-Models
Internet
Future Expansion to Other Locations
Gintic NTU (Singapore)
Georgia Tech MARC(U.S.A.)
Lotus Spreadsheets
47System Architecture
Application
Virtual Factory Modeling Simulator
Conservative synchronization protocol
High Level Architecture Runtime Infrastructure
Parallel Simulation Kernel
Message Passing Library
Multithreaded Library
Interface Layer
Distributed Memory System
Shared Memory Multiprocessor
Hardware
LAN
Internet
48Distributed Simulation Added Benefits
- Real-time data for model construction
- Rapid model development
- Reusability
- Interoperability
- Low costs alternative to parallel computing
systems
Industrial Users and Partner Needed
49Agenda
- Introduction
- Factory Design and Planning
- Scheduling System
- Simulation engine with parallel and distributed
processing capability - Industrial Application - MNC Computer
Manufacturer
50Industrial Application
- Joint project with MNC Computer Manufacturer in
Singapore to build an integrated virtual factory
and logistics model. - The model will allow the company to evaluate and
select ways to improve their supply chain. - It will also enable the company to improve the
integration of manufacturing capability with the
operations of their logistics provider.
51 Challenges of the Project
- Require innovative approach and knowledge
intensive solutions. - Require integration of manufacturing, inbound
logistics, outbound logistics and closely related
business processes in the simulator. - Data driven discrete event simulator requiring
low maintenance cost. - Simulator enables future integration to
information systems for auto model generation
52Objectives
- To build a simulator to model part of supply
chain - Production
- Inbound outbound logistics
- Closely related business processes
- Enable studying different scenarios
- Schedules
- Order arrivals
- To study impact on
- Cycle time
- Inventory
- Resource utilization
- Cost
53Why?
- Supply chain model to evaluate, select and
implement policies for improved... - Cycle time through process predictability
- Utilization through resource planning and opn.
- Material replenishment
- Flow of material
- Overall operation
- Prove advanced ideas and implement
Customer focus
Mfg. focus
Supplier Focus
Logistics Focus
Systems View
54Scope
- Manufacturing process
- assembly, testing, packing, shipping
- operators, material handlers, downtimes
- Inbound logistics
- material delivery, handling and usage
- material storage
- Outbound logistics
- shipping,
- Shipping schedules
- delivery to WH or customers
55Simulation Mimics Real-Life Factory
Simulated Factory
Real Life Factory
Logical Model
3D Visualization
56Virtual Factory
Real Factory
Business Processes
Manufacturing, Inbound Outbound logistics
57Virtual Logistics
58Virtual Supply Chain
Squeezing the time Cost
Outbound Logistics Process Model
Inbound Logistics Process Model
Outbound Logistics Process Model
Virtual Computer Assembly
59- Reports
- Cycle Time
- Inventory
- Utilization
- UPH
- Cost
- Inputs
- Schedules
- Customer Order Arrivals
- Material Deliveries
- Inputs
- Schedules
- Customer Order Arrivals
- Material Deliveries
- Inputs
- Schedules
- Customer Order Arrivals
- Material Deliveries
Simulation Model
- Evaluation Factors
- Rework
- Yield
- of operator
- Line replenishment
- Station process time
- Logistics Parameters
60Conclusions
- Simulator for offline use.
- Data Driven model, Can be updated by novice
users. - Iterative experiments needed for improving the
solution. - Computational model with no emphasis on 3D
animation.