françois léger mouloud amazouz patrick tousignant · survey was done among canadian sawmilling...
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François LégerMouloud Amazouz
Patrick TousignantQuebec city, June 19th, 2005
François LégerMouloud Amazouz
Patrick TousignantQuebec city, June 19th, 2005
Agenda
Part I – Survey – Industry needs in R&DPart I – Survey – Industry needs in R&D
Part II – Forintek response: Sirocco projectPart II – Forintek response: Sirocco project
Part III –DevelopmentsPart III –Developments
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SurveySurvey
The objective of the survey was The objective of the survey was to identify new requirements to identify new requirements in R&D arising from new in R&D arising from new drying practices that are drying practices that are emerging gradually in the emerging gradually in the lumber drying industrylumber drying industry
Survey was done among Canadian Sawmilling industry in 2003 – 120 answers principally Eastern mills
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Survey – Key PointsSurvey – Key Points
1.1. Industry perceives its current drying Industry perceives its current drying operations as sufficiently functional operations as sufficiently functional for market needs for market needs
2.2. Industry mentions that drying quality Industry mentions that drying quality (downgrading) is the most significant (downgrading) is the most significant point in evaluating drying point in evaluating drying
3.3. However, quality not being easily However, quality not being easily measured, time remains the tool measured, time remains the tool mainly used to evaluate mainly used to evaluate performances performances
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Survey – Key PointsSurvey – Key Points
4.4. The drying practice is not limited solely to The drying practice is not limited solely to what occurs in the kiln. Material what occurs in the kiln. Material management, before and after drying, management, before and after drying, supplements the drying process supplements the drying process
5.5. Although quality is recognized as being a Although quality is recognized as being a very significant process variable, there is very significant process variable, there is an average proportion of 16% an average proportion of 16% overdriedoverdriedpieces and 9% under pieces and 9% under driedpiecesdriedpieces
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Survey – Point 5Survey – Point 5
5.5. Although quality is recognized as Although quality is recognized as being a very significant process being a very significant process variable, variable, there is an average proportion ofthere is an average proportion of
16% over dried pieces and16% over dried pieces and9% under dried pieces9% under dried pieces
Value of IncreasingDrying Quality (decreasing rejects)
Up to 25% of lumber drying production
falls outof quality specifications
resulting in an average of6% value lost
Up to 25% of lumber drying production
falls outof quality specifications
resulting in an average of6% value lost
1Survey by Canmet-Forintek
Distribution de la teneur en humidité d'un paquet
0
10
20
30
40
50
5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25Teneur en humidité [%]
Nom
bre
de p
ièce
s 16% 9%
MC distribution
Improvement to lower cost production Improvement to lower cost production
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Survey – Point 1Survey – Point 1
1.1. Industry perceives its current drying Industry perceives its current drying operations as sufficiently functional for operations as sufficiently functional for market needs market needs
In fact markets are moving !In fact markets are moving !
Satisfying Market Needs?
others
packaging
non residentialrenovation
residential
second transformation
• Sawmills used to consider themselves as a supplier of lumber for residential construction where products were defined by standards
• Market Needs are moving !!!
• Sawmills used to consider themselves as a supplier of lumber for residential construction where products were defined by standards
• Market Needs are moving !!!
•• Actual production Actual production as revealed by our as revealed by our surveysurvey
Value to DefineNew Drying Quality
Package Moisture Content Distribution
0
20
40
60
80
100
120
140
160
5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25MC [%]
Piec
es
Improvement to increase sales and profits Improvement to increase sales and profits
$ Improvement focus on client needs
$ Need change agents
Example: Clearly, there is a need for improvementExample: Clearly, there is a need for improvementbased on drying qualitybased on drying quality
To deliver the right productto the right client
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Survey – ConclusionSurvey – Conclusion
Drying practices are numerous, but none seems Drying practices are numerous, but none seems
to be prevailing. They often come from to be prevailing. They often come from
initiatives of operators that do not have the initiatives of operators that do not have the
means to prove the profitability of their efforts. means to prove the profitability of their efforts.
The lack of measurement and monitoring tools The lack of measurement and monitoring tools
might explain this fact.might explain this fact.
Agenda
Part I – Survey – Industry needs in R&DPart I – Survey – Industry needs in R&D
Part II – Forintek response: Sirocco projectPart II – Forintek response: Sirocco project
Part III – DevelopmentsPart III – Developments
Sirocco Project
• To design practical tools to help the operator modify drying practices and measure their impacts based on the data available in the field
• Technology implemented– Establish raw material traceability– Build the RT-database - historian– Implement data mining techniques– Define key performance indicators
•• To design practical tools to help the operator To design practical tools to help the operator modify drying practices and measure their modify drying practices and measure their impacts based on the data available in the fieldimpacts based on the data available in the field
•• Technology implementedTechnology implemented–– Establish raw material traceabilityEstablish raw material traceability
–– Build the RTBuild the RT--database database -- historianhistorian–– Implement data mining techniquesImplement data mining techniques–– Define key performance indicatorsDefine key performance indicators
Forintek response Forintek response
Technical Challenge
Why drying production falls out of quality specificationsWhy drying production falls out of quality specifications
Sawing
Spec
ies
Spec
ies Dim
ensi
onD
imen
sion
leng
thle
ngthSorting
processSorting
process• Sorting strategy multiples the
packages paths in the yard• Makes difficult
– comparison between expected vs obtained results
– feedback to the operation to adjust on perturbations
• Sorting strategy multiples the packages paths in the yard
• Makes difficult – comparison between expected
vs obtained results– feedback to the operation to
adjust on perturbations
Dry
ing
Planer
Packages pathsPackages paths
OptimisationOptimisation
Prediction &design
Prediction &Prediction &designdesign
Control system &Monitoring systemControl system &Control system &
Monitoring systemMonitoring system
Evaluationof new practices
EvaluationEvaluationof new practicesof new practices
KilnsKilnsKilnsLumber Yardbefore dryingLumber YardLumber Yardbefore dryingbefore drying Planner
millPlannerPlanner
millmill
Data historianData historian
Data miningData mining
Strategic PlanningStrategic PlanningStrategic Planning Long Term Goals: profitability
Short Term Goals: drying operations
Instrumentdevelopment
Sirocco Project RoadmapSirocco Project Roadmap
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Control system &Monitoring systemControl system &Control system &
Monitoring systemMonitoring system
KilnsKilnsKilnsLumber Yardbefore dryingLumber YardLumber Yardbefore dryingbefore drying Planner
millPlannerPlanner
millmill
Data historianData historian Instrumentdevelopment
First level : Data historianFirst level : Data historian
Data historianA) Information integration over 1500 process variablesA) Information integration over 1500 process variables
PI UDS
DATA SERVER
PLC
Acquisition Node
Balance
Black Box
Acquisition NodeWagner/Décanteur
Black Box
Acquisition Node
Séchage
PLC
Acquisition Node
Empileuse
PLC
Acquisition Node
Code à barres
PLC
Acquisition Node
Classeur
Black Box
Acquisition Node
Météo
Sawmill exit Yard
Kilns
Planer mill
Packages labelling
B) Lumber pile labelling systemB) Lumber pile labelling system
Kiln Loading
C) Kiln loading information system managementC) Kiln loading information system management
• Portable tool developed to scan package position in the kiln
• Example of a screen capture
• Portable tool developed to scan package position in the kiln
• Example of a screen capture
Monitoring Kiln batches process• Drying batches are monitored
based on “Batch Control Standards ISA-S88”
• This eases comparisons of drying steps in a schedule with former kiln loads
• Gaz meters installation in the kilns in collaboration with GazMetro
• Gaz meters allow additional in formation on initial load conditions.
• Drying batches are monitored based on “Batch Control Standards ISA-S88”
• This eases comparisons of drying steps in a schedule with former kiln loads
• Gaz meters installation in the kilns in collaboration with GazMetro
• Gaz meters allow additional in formation on initial load conditions.
Monitoring individual packages performance at the planer mill
• Every package (bundles) is monitored to account for
• over dried, correctly dried, under dried pieces
• Grades produced• length produced
• Every package (bundles) is monitored to account for
• over dried, correctly dried, under dried pieces
• Grades produced• length produced
Monitoring individual packages performance at the planer mill
• Every package (bundles) is monitored to account for
• over dried, correctly dried, under dried pieces
• Grades produced• length produced
• Every package (bundles) is monitored to account for
• over dried, correctly dried, under dried pieces
• Grades produced• length produced
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Control system &Monitoring systemControl system &Control system &
Monitoring systemMonitoring system
KilnsKilnsKilnsLumber Yardbefore dryingLumber YardLumber Yardbefore dryingbefore drying Planner
millPlannerPlanner
millmill
Data historianData historian
First level : ConclusionFirst level : Conclusion
• This first level allows to compare predicted to actually produced lumber value on a package unit observation
• This is a huge step because former tools allowed only per shift comparisons, which were imprecise to react to disturbations
• This first level allows to compare predicted to actually produced lumber value on a package unit observation
• This is a huge step because former tools allowed only per shift comparisons, which were imprecise to react to disturbations
Agenda
Part I – Survey – Industry needs in R&DPart I – Survey – Industry needs in R&D
Part II – Forintek response: Sirocco projectPart II – Forintek response: Sirocco project
Part III – DevelopmentsPart III – Developments
OptimisationOptimisation
Prediction &design
Prediction &Prediction &designdesign
Control system &Monitoring systemControl system &Control system &
Monitoring systemMonitoring system
Evaluationof new practices
EvaluationEvaluationof new practicesof new practices
KilnsKilnsKilnsLumber Yardbefore dryingLumber YardLumber Yardbefore dryingbefore drying Planner
millPlannerPlanner
millmill
Data historianData historian
Data miningData mining
Strategic PlanningStrategic PlanningStrategic Planning Long Term Goals: profitability
Short Term Goals: drying operations
Instrumentdevelopment
Second level – Data MiningSecond level – Data Mining
Steps in Data Mining Process
• Collecting and preparing the data
• Model development
• Validating the models
• Building computerized systems
• Monitoring changes over time
• Collecting and preparing the data
• Model development
• Validating the models
• Building computerized systems
• Monitoring changes over time
It is reported that up to 80% of the efforts devoted to data mining projects are allocated to collecting and preparing the data
– the Sirocco project confirms the rule!
It is reported that up to 80% of the efforts devoted to data mining projects are allocated to collecting and preparing the data
– the Sirocco project confirms the rule!
Process analysis
Comparison tool
Process analysis – Models
Developing Multivariate modelsDeveloping Multivariate models
Results: Maximizing Stud & better production
% Stud et better
%
New product: % Premium
%
Length: % 8 ft Stud +
%
Mill productivity increasedMill productivity increased
Impact of Better Drying PracticesImpact of Better Drying Practices
• Sorting
• Systematic Tuning of Drying Practices
• Sorting
• Systematic Tuning of Drying Practices
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ConclusionConclusion
•• This project based on package This project based on package traceabilitytraceability
helps the pilot sawmill maximizing its helps the pilot sawmill maximizing its
productionproduction
•• Increasing drying quality will help the industry Increasing drying quality will help the industry
to increase sales and profits by delivering the to increase sales and profits by delivering the
right product to the right clientright product to the right client
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ConclusionConclusion
•• Package Package traceabilitytraceability is the unit based element is the unit based element
needed for technical assessment but the needed for technical assessment but the
process analysis are based on individual process analysis are based on individual
board measurement board measurement
•• This pilot project offers a tremendous research This pilot project offers a tremendous research
potential and becomes our industrial potential and becomes our industrial
laboratorylaboratory
Project Partners
Scierie LeducDivision Stadacona
Building a PartnershipBuilding a Partnership