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Visual8 Corporation
WSC2013 – SIMUL8 User Group Presentation
2

Agenda



About Visual8 – Company Overview



Example Projects



Case Study – Automated Plywood Patching Line



Live Demonstration



Questions & Answers



Conclusion
3

Visual8 Overview
Company Profile

Background:
– Industrial Engineering & Operations Research Consultants
– Provide productivity improvements to companies through
simulation modeling, analysis and optimization

Business Focus:
– Simulation Consulting, Training & Support with SIMUL8
– Optimization, Planning & Scheduling
– Strategic, Tactical & Operational Level Decision Support
Industry Specialization:
–
–
–

General Manufacturing, Distribution & Supply Chain
Automotive, Food & Beverage, Plastics, Oil & Gas
Mining, Smelting, Metals Processing
4

Example Projects
Distribution Centre – Inventory Management

Objective:
 To identify whether the warehouse can conform to plan
 To determine the inventory sizing required for all products
 To allocate spacing and materials handling to all floors

Solution:
 Create a warehousing simulation of the entire DC and show inventory
movements, arrivals and shipments, inventory spacing, and labour
requirements.

Benefits:
 Capacity Planning tool for new products
 Correct sizing of inventory for product mix and replenishment
 Proven delivery capability to stores
5

Example Projects
Dairy Cooler – Process Improvement

Objective:
 Evaluate the impact of product layout and staff plans on labour picking
time
 Determine the impact of sequencing and batching of product on storage
requirements and order fulfillment

Solution:
 Created a component-based flexible simulator that can be used to
simulate the operation of all 15 Dairies

Benefits:
 Increased output with minimal capital changes

 Determine the capacity limits of the materials handling system
 Standardized Best-Practices Procedures across plants
6

Example Projects
Candy Manufacturer – Capacity Planning

Objective:
 Consolidation of external packaging plant within plant
 To identify WIP and Finished Goods space requirements
 To evaluate impact of smaller batches to directly feed packing

Solution:
 Create a plant-wide simulation of entire Candy operations and simulate
the impact of the new packaging lines

Benefits:
 Decrease in transportation and plant costs
 Correct inventory sizing prior to commissioning of line
 Identified a need for a tighter scheduling system
7

Example Projects
Automotive Bumper Line – Takt-Time Analysis

Objective:
 Demonstrate capability of planned assembly line to Customer
 To determine the correct number of assembly stations
 To allocate appropriate tasks and parts to stations

Solution:
 Create an assembly-line simulation of the Bumper line and show build
rates, line replenishment requirements, delivery rates, and labor
requirements

Benefits:
 Reduced commissioning time of the line to meet TAKT times
 Correct sizing of bins for product mix and replenishment
 Proven delivery capability to Customer
8

Case Study – Plywood Finishing
Background:
Major US plywood manufacturer wanted to update their current
manual defect patching process to an automated robotic line.
A number of different design configurations were proposed and
the company wanted a way to effectively evaluate them.

Project Objective:
Design and construct detailed simulation models of the various
proposed patch line designs
Conduct sensitivity analysis study to help determine the
configuration best suited to meet client requirements.
9

Case Study – Plywood Finishing
Project Steps:
1.
2.
3.

4.
5.

Coordination & Data Collection
Initial Simulation Model Development
Preliminary Analysis & Review
Model Refinement and In-Depth Analysis
Onsite Review and Discussion
10

Process Description - Current
Manual Plywood Inspection & Repair
•
•

•
•
•

Stacks of manufactured plywood delivered to the line
Plywood conveyed through a panel inspection/repair
area on rigid belt
Defects in panel manually processed by two workers
Routing to remove defects such as knots
Patching to fill holes left by router and other defects such
as cracks

Process Issues
•
•

•

Lack of quality control
High level of rework
Excessive use of Patching compound
11

Process Description - Planned
Automated Inspection & Repair
•
•

•

•
•

Stacks of manufactured plywood delivered to the line
Plywood conveyed through an imaging tool to identify
quantity, types, sizes and locations of defects
Product conveyed to Routing or combined Routing and
Patching equipment, indexed and locked into position
Routing operation to remove defects such as knots
Patching operation to fill holes left by router and other
defects such as cracks

Key considerations
•

•

Supply of plywood/movement of product through the
scanner and line not an issue
Need to achieve high throughput with good utilization of
equipment, Limited floor space available
12

Process Description - Planned
Panel Loading

Defect Scanning

Panel Exit

Panel Repair Stations
13

Model Inputs
14

Model Inputs
15

Model Inputs
16

Model Inputs
17

Design Layouts
Scenario 1a – Parallel Work Centers (Combined Route & Patch)
Key Design Factors:
1. Route & Patch operations
combined in same work
center (line)
2. Dedicated routing & patch
robots
3. Simple board conveyance
(even distribution to work
centers)
18

Design Layouts
Scenario 1b – Parallel Work Centers (Separate Route & Patch)
Key Design Factors:
1. Route & Patch operations
separate for each work
center (line)
2. Dedicated routing & patch
robots
3. Simple board conveyance
(even distribution to work
centers)
19

Design Layouts
Scenario 1c – Parallel Work Centers (Defect-based Board Routing)
Key Design Factors:
1. Route & Patch operations
combined in same work
center
2. Dedicated routing & patch
robots
3. Dual patch robots in one
work center
4. Defect-based board
conveyance (high defect
boards routed to dual robot
work centers)
20

Design Layouts
Scenario 1d – Parallel Work Centers (Shared Patch Robots)
Key Design Factors:
1. Route & Patch operations
separate in same work
center
2. Two patch robots shared
between to work centers
3. Simple board conveyance
(even distribution to work
centers)
21

Design Layouts
Scenario 1e – Parallel Work Centers (Shared Patch + Defect Routing)
Key Design Factors:
1. Route & Patch operations
separate in same work
center
2. Two patch robots shared
between to work centers
3. Dual patch robots in one
work center
4. Defect-based board
conveyance (high defect
boards routed to dual robot
work centers)
22

Design Layouts
Scenario 1f – Parallel Work Centers (Separate Route & Patch)
Key Design Factors:
1. Route & Patch operations
separate for each work
center (line)
2. Dedicated routing & patch
robots
3. Simple board conveyance
(even distribution to work
centers)
23

Design Layouts
Scenario 2a – Alternating Patch Robots (In/Out Conveyance)
Key Design Factors:
1. Route & Patch operations
combined in same work
center
2. Patch robots shared
between two work centers
3. Boards move into and out
of work centers from same
side
24

Design Layouts
Scenario 2b – Alternating Patch Robots (Flow-through Conveyance)
Key Design Factors:
1. Route & Patch operations
combined in same work
center
2. Patch robots shared
between two work centers
3. Boards flow through work
centers
25

Design Layouts
Layout 3 – Multiple Patch Robots per Board
Key Design Factors:
1. Single Work Center
resulting in lower space
utilization
2. Work on a single board
divided out to 4 robots
3. Boards flow through work
center
26

Design Layouts
Layout 4 – Combined Routing & Patch Robots
Key Design Factors:
1. Route & Patch operations
combined in same work
center
2. Routing and patch
operations are completed
by single robot
3. Boards flow through work
centers
27

Sensitivity Analysis Testing
Generated Data:
Simulation trials based on Panel data created using distributions
•

AC Grade / BC Grade / Siding Grade

Real Data:
Single runs utilizing actual Scanner data
•

AC Grade / BC Grade / Siding Grade

Breakdowns/Efficiency:
•
•

Randomized breakdowns
Scheduled stoppages
28

Results
Layout 1A

Layout 1B

Layout 1C

Layout 1D

Layout 1E

Layout 1F

Layout 2A

Layout 2B

Layout 3

Layout 4

Router 1: Utilization %

22.5

24.2

22.2

24.2

22.4

24.2

20.1

20.0

40.7

-

Router 2: Utilization %

22.4

24.3

22.2

24.4

22.5

24.0

19.8

19.8

32.6

-

Router 3: Utilization %

22.6

24.4

26.6

33.8

33.8

24.2

20.0

20.0

33.9

-

Router 4: Utilization %

-

-

-

-

-

24.5

20.1

20.0

26.3

-

Patching 1: Working %

70.7

76.3

69.7

76.2

89.9

76.4

79.2

86.2

18.0

81.8

Patching 2: Working %

70.6

76.4

69.7

76.3

95.3

76.2

84.6

77.3

17.6

81.9

Patching 3: Working %

70.6

76.3

37.8

48.1

48.2

76.1

79.6

86.3

-

81.8

Patching 4: Working %

-

-

45.7

57.9

57.9

76.4

84.3

77.1

-

81.6

4820

5207

5071

5881

5620

6938

5706

5751

3602

5518

Board Count

Key Findings:
•
•
•
•
•

Parallel Work Centers yield optimal throughput
Maximize Patch Robot Utilization by alternating workstations or combining Route/Patch
Minimize Routing & Patching overlap
Parallel Work Centers increase redundancy
Flow-though Work Centers at Patch if possible
29

Results
Highest throughput scenario Layout 1F:

Issues:
•
•
•

Unbalanced line yields underutilized Patch robots
Reconfiguring the line to balance line would mean exceeding floor space
limitations or require complex conveyor set up
Additional equipment & conveyance required – potential reliability impacts
30

Results
Final choice Layout 4:

Layout analysis:
• Throughput requirements met
• Machine utilization requirements achieved
• Floor space limitations not exceeded
• Conveyance simplicity maintained
31

Live Demonstration
Example Model, Q & A

 Presentation of Sample Model
 Questions & Answers

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Visual8 Corporation SIMUL8 User Group Presentation Case Study

  • 1. Visual8 Corporation WSC2013 – SIMUL8 User Group Presentation
  • 2. 2 Agenda  About Visual8 – Company Overview  Example Projects  Case Study – Automated Plywood Patching Line  Live Demonstration  Questions & Answers  Conclusion
  • 3. 3 Visual8 Overview Company Profile Background: – Industrial Engineering & Operations Research Consultants – Provide productivity improvements to companies through simulation modeling, analysis and optimization Business Focus: – Simulation Consulting, Training & Support with SIMUL8 – Optimization, Planning & Scheduling – Strategic, Tactical & Operational Level Decision Support Industry Specialization: – – – General Manufacturing, Distribution & Supply Chain Automotive, Food & Beverage, Plastics, Oil & Gas Mining, Smelting, Metals Processing
  • 4. 4 Example Projects Distribution Centre – Inventory Management Objective:  To identify whether the warehouse can conform to plan  To determine the inventory sizing required for all products  To allocate spacing and materials handling to all floors Solution:  Create a warehousing simulation of the entire DC and show inventory movements, arrivals and shipments, inventory spacing, and labour requirements. Benefits:  Capacity Planning tool for new products  Correct sizing of inventory for product mix and replenishment  Proven delivery capability to stores
  • 5. 5 Example Projects Dairy Cooler – Process Improvement Objective:  Evaluate the impact of product layout and staff plans on labour picking time  Determine the impact of sequencing and batching of product on storage requirements and order fulfillment Solution:  Created a component-based flexible simulator that can be used to simulate the operation of all 15 Dairies Benefits:  Increased output with minimal capital changes  Determine the capacity limits of the materials handling system  Standardized Best-Practices Procedures across plants
  • 6. 6 Example Projects Candy Manufacturer – Capacity Planning Objective:  Consolidation of external packaging plant within plant  To identify WIP and Finished Goods space requirements  To evaluate impact of smaller batches to directly feed packing Solution:  Create a plant-wide simulation of entire Candy operations and simulate the impact of the new packaging lines Benefits:  Decrease in transportation and plant costs  Correct inventory sizing prior to commissioning of line  Identified a need for a tighter scheduling system
  • 7. 7 Example Projects Automotive Bumper Line – Takt-Time Analysis Objective:  Demonstrate capability of planned assembly line to Customer  To determine the correct number of assembly stations  To allocate appropriate tasks and parts to stations Solution:  Create an assembly-line simulation of the Bumper line and show build rates, line replenishment requirements, delivery rates, and labor requirements Benefits:  Reduced commissioning time of the line to meet TAKT times  Correct sizing of bins for product mix and replenishment  Proven delivery capability to Customer
  • 8. 8 Case Study – Plywood Finishing Background: Major US plywood manufacturer wanted to update their current manual defect patching process to an automated robotic line. A number of different design configurations were proposed and the company wanted a way to effectively evaluate them. Project Objective: Design and construct detailed simulation models of the various proposed patch line designs Conduct sensitivity analysis study to help determine the configuration best suited to meet client requirements.
  • 9. 9 Case Study – Plywood Finishing Project Steps: 1. 2. 3. 4. 5. Coordination & Data Collection Initial Simulation Model Development Preliminary Analysis & Review Model Refinement and In-Depth Analysis Onsite Review and Discussion
  • 10. 10 Process Description - Current Manual Plywood Inspection & Repair • • • • • Stacks of manufactured plywood delivered to the line Plywood conveyed through a panel inspection/repair area on rigid belt Defects in panel manually processed by two workers Routing to remove defects such as knots Patching to fill holes left by router and other defects such as cracks Process Issues • • • Lack of quality control High level of rework Excessive use of Patching compound
  • 11. 11 Process Description - Planned Automated Inspection & Repair • • • • • Stacks of manufactured plywood delivered to the line Plywood conveyed through an imaging tool to identify quantity, types, sizes and locations of defects Product conveyed to Routing or combined Routing and Patching equipment, indexed and locked into position Routing operation to remove defects such as knots Patching operation to fill holes left by router and other defects such as cracks Key considerations • • Supply of plywood/movement of product through the scanner and line not an issue Need to achieve high throughput with good utilization of equipment, Limited floor space available
  • 12. 12 Process Description - Planned Panel Loading Defect Scanning Panel Exit Panel Repair Stations
  • 17. 17 Design Layouts Scenario 1a – Parallel Work Centers (Combined Route & Patch) Key Design Factors: 1. Route & Patch operations combined in same work center (line) 2. Dedicated routing & patch robots 3. Simple board conveyance (even distribution to work centers)
  • 18. 18 Design Layouts Scenario 1b – Parallel Work Centers (Separate Route & Patch) Key Design Factors: 1. Route & Patch operations separate for each work center (line) 2. Dedicated routing & patch robots 3. Simple board conveyance (even distribution to work centers)
  • 19. 19 Design Layouts Scenario 1c – Parallel Work Centers (Defect-based Board Routing) Key Design Factors: 1. Route & Patch operations combined in same work center 2. Dedicated routing & patch robots 3. Dual patch robots in one work center 4. Defect-based board conveyance (high defect boards routed to dual robot work centers)
  • 20. 20 Design Layouts Scenario 1d – Parallel Work Centers (Shared Patch Robots) Key Design Factors: 1. Route & Patch operations separate in same work center 2. Two patch robots shared between to work centers 3. Simple board conveyance (even distribution to work centers)
  • 21. 21 Design Layouts Scenario 1e – Parallel Work Centers (Shared Patch + Defect Routing) Key Design Factors: 1. Route & Patch operations separate in same work center 2. Two patch robots shared between to work centers 3. Dual patch robots in one work center 4. Defect-based board conveyance (high defect boards routed to dual robot work centers)
  • 22. 22 Design Layouts Scenario 1f – Parallel Work Centers (Separate Route & Patch) Key Design Factors: 1. Route & Patch operations separate for each work center (line) 2. Dedicated routing & patch robots 3. Simple board conveyance (even distribution to work centers)
  • 23. 23 Design Layouts Scenario 2a – Alternating Patch Robots (In/Out Conveyance) Key Design Factors: 1. Route & Patch operations combined in same work center 2. Patch robots shared between two work centers 3. Boards move into and out of work centers from same side
  • 24. 24 Design Layouts Scenario 2b – Alternating Patch Robots (Flow-through Conveyance) Key Design Factors: 1. Route & Patch operations combined in same work center 2. Patch robots shared between two work centers 3. Boards flow through work centers
  • 25. 25 Design Layouts Layout 3 – Multiple Patch Robots per Board Key Design Factors: 1. Single Work Center resulting in lower space utilization 2. Work on a single board divided out to 4 robots 3. Boards flow through work center
  • 26. 26 Design Layouts Layout 4 – Combined Routing & Patch Robots Key Design Factors: 1. Route & Patch operations combined in same work center 2. Routing and patch operations are completed by single robot 3. Boards flow through work centers
  • 27. 27 Sensitivity Analysis Testing Generated Data: Simulation trials based on Panel data created using distributions • AC Grade / BC Grade / Siding Grade Real Data: Single runs utilizing actual Scanner data • AC Grade / BC Grade / Siding Grade Breakdowns/Efficiency: • • Randomized breakdowns Scheduled stoppages
  • 28. 28 Results Layout 1A Layout 1B Layout 1C Layout 1D Layout 1E Layout 1F Layout 2A Layout 2B Layout 3 Layout 4 Router 1: Utilization % 22.5 24.2 22.2 24.2 22.4 24.2 20.1 20.0 40.7 - Router 2: Utilization % 22.4 24.3 22.2 24.4 22.5 24.0 19.8 19.8 32.6 - Router 3: Utilization % 22.6 24.4 26.6 33.8 33.8 24.2 20.0 20.0 33.9 - Router 4: Utilization % - - - - - 24.5 20.1 20.0 26.3 - Patching 1: Working % 70.7 76.3 69.7 76.2 89.9 76.4 79.2 86.2 18.0 81.8 Patching 2: Working % 70.6 76.4 69.7 76.3 95.3 76.2 84.6 77.3 17.6 81.9 Patching 3: Working % 70.6 76.3 37.8 48.1 48.2 76.1 79.6 86.3 - 81.8 Patching 4: Working % - - 45.7 57.9 57.9 76.4 84.3 77.1 - 81.6 4820 5207 5071 5881 5620 6938 5706 5751 3602 5518 Board Count Key Findings: • • • • • Parallel Work Centers yield optimal throughput Maximize Patch Robot Utilization by alternating workstations or combining Route/Patch Minimize Routing & Patching overlap Parallel Work Centers increase redundancy Flow-though Work Centers at Patch if possible
  • 29. 29 Results Highest throughput scenario Layout 1F: Issues: • • • Unbalanced line yields underutilized Patch robots Reconfiguring the line to balance line would mean exceeding floor space limitations or require complex conveyor set up Additional equipment & conveyance required – potential reliability impacts
  • 30. 30 Results Final choice Layout 4: Layout analysis: • Throughput requirements met • Machine utilization requirements achieved • Floor space limitations not exceeded • Conveyance simplicity maintained
  • 31. 31 Live Demonstration Example Model, Q & A  Presentation of Sample Model  Questions & Answers