Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
Mitigating risk with Ahlers smart data simulations for coolant products
Véronique Tuteleers – Operations Manager, Arteco CoolantsKevin Onderbeke – Senior Project Manager, Ahlers Data Analytics
Today’s topic
▪ Arteco in a nutshell
▪ Ahlers Data Analytics in a nutshell
▪ Data Analytics project approach
▪ Business case: Improving Arteco contingency planning
Arteco’s Vision
Coolants for a wide range of applications
Internal Combustion Engine & Hybrid
Battery electric vehicle Fuel cell electric vehicle
Extensive coverage with complete range of
coolants
Complete product range, to ensure
Thermal management, battery life, safety and
environmentally friendliness
Very low conductivity coolants, to ensure
Safety, coolant life, maintenance intervals, ion
exchange compatibility
Common Coolant requirements:Material compatibility, heat transfer, corrosion, freeze and boil protection
2020
Turnover:
109M €
Safety:
strong focus on safety performance
#ArtecoCares
Volumes:
120kt as sold, +187kt concentrate
equivalent
Customers:
+300 customers600 delivery points
>60 million vehicles can be filled with Arteco’s annual volume
Global Accomplishments
Fast growing player in APME 1/4th of Arteco volumes
1/3rd market share in Europe
Global coverage in partnership with parent companies
6Arteco Confidential
IN A NUTSHELL
Forward thinking & quicker decision-making in a VUCA-world
▪ What is happening where?
▪ Single source of the truth
▪ Unlock bottlenecks
Network Visualization Network Optimization Network Scenario Simulation
▪ Cost optimization – drill down to product or customer level
▪ Recommend the best demand & supply strategy
▪ Meet pre-defined service level agreements
▪ Impact of events or disruptions on my network
▪ Accurate simulation of scenario’s
▪ Insert variability to become more resilient
Ahlers Data Analytics Services
Duration
Objectives
Data collection & Current state
• Collect and validate data on current
flows
• Understand their characteristics
• Quantify current performance
• Document expected future
business evolutions
3 weeks
• Validated baseline of flows and
current performance
• Validated expectations on future
evolutions
Deliverables
Data Analytics: project approach
Duration
Objectives
Data collection & Current state
Scenario generation
• Collect and validate data on current
flows
• Understand their characteristics
• Quantify current performance
• Document expected future
business evolutions
• Decide on design parameters for
future distribution concept
• Assess possible distribution
concepts on a high level and agree
on shortlist to be evaluated in
detail
• Agree on detailed evaluation
criteria
3 weeks 1 week
• Validated baseline of flows and
current performance
• Validated expectations on future
evolutions
• Validated shortlist of scenarios to
be evaluated
• Validated list of evaluation criteria
Deliverables
Scenario generation
• Decide on design parameters for
future distribution concept
• Assess possible distribution
concepts on a high level and agree
on shortlist to be evaluated in
detail
• Agree on detailed evaluation
criteria
1 week
• Validated shortlist of scenarios to
be evaluated
• Validated list of evaluation criteria
Data Analytics: project approach
Duration
Objectives
Data collection & Current state
Scenario generation Scenario evaluation
• Collect and validate data on current
flows
• Understand their characteristics
• Quantify current performance
• Document expected future
business evolutions
• Decide on design parameters for
future distribution concept
• Assess possible distribution
concepts on a high level and agree
on shortlist to be evaluated in
detail
• Agree on detailed evaluation
criteria
• Optimize the shortlisted scenarios
and evaluate their performance
• Simulate the robustness of the
solution through basic stress testing
• Evaluate the risks and opportunities
3 weeks 1 week 3 weeks
• Validated baseline of flows and
current performance
• Validated expectations on future
evolutions
• Validated shortlist of scenarios to
be evaluated
• Validated list of evaluation criteria
• Proposal of optimized scenarios
• Evaluation of their performance
under different conditions
Deliverables
Scenario generation
• Decide on design parameters for
future distribution concept
• Assess possible distribution
concepts on a high level and agree
on shortlist to be evaluated in
detail
• Agree on detailed evaluation
criteria
1 week
• Validated shortlist of scenarios to
be evaluated
• Validated list of evaluation criteria
Data Analytics: project approach
Duration
Objectives
Data collection & Current state
Scenario generation Scenario evaluationPresentation of the
final results
• Collect and validate data on current
flows
• Understand their characteristics
• Quantify current performance
• Document expected future
business evolutions
• Decide on design parameters for
future distribution concept
• Assess possible distribution
concepts on a high level and agree
on shortlist to be evaluated in
detail
• Agree on detailed evaluation
criteria
• Optimize the shortlisted scenarios
and evaluate their performance
• Simulate the robustness of the
solution through basic stress testing
• Evaluate the risks and opportunities
• Describe recommended solution,
boundary conditions, risks &
opportunities, …
• Present and validate conclusions
• Step-by-step road map with
implementation milestones
3 weeks 1 week 3 weeks 1 week
• Validated baseline of flows and
current performance
• Validated expectations on future
evolutions
• Validated shortlist of scenarios to
be evaluated
• Validated list of evaluation criteria
• Proposal of optimized scenarios
• Evaluation of their performance
under different conditions
• Validated final recommendation
and implementation road mapDeliverables
Scenario generation
• Decide on design parameters for
future distribution concept
• Assess possible distribution
concepts on a high level and agree
on shortlist to be evaluated in
detail
• Agree on detailed evaluation
criteria
1 week
• Validated shortlist of scenarios to
be evaluated
• Validated list of evaluation criteria
Data Analytics: project approach
Opportunity:
Going the extra mile for our
customers by ensuring business
continuity
Today’s Challenge:
Make the current contingency
plans more robust to cope with
escalating disruptions Visualization
Optimization
Simulation
Solution Benefits
Business case: improve robustness of the contingency plan in case of a disruptive event affecting Arteco’s main European plant
As an automotive OEM supplier, Arteco is required to guarantee the JIT product flows towards their customers
Challenges
• Complete product range is produced at the main European plant in Schoten with a centralized planning
• Guarantee JIT product flow to cover the European customer base with a clear understanding of the cost and service impact
• Need for a detailed insight of the impact of different contingency scenario’s
Challenges SolutionBenefits
• Estimation of the costs to implement stronger contingency
• The possibility to slice and dice the plan. Zooming in on product groups, customers and components
• A tool to reinforce strategic decisions
• AS-IS: view on current flows, costs and smaller production locations
• TO-BE: pinpoint key locations to create buffer stocks and look for subcontractors
• A clear insight into the fixed and variable cost components of the contingency plan
• Easy tool to understand where to start and how to implement the solution
• Complete product range is produced at the main European plant in Schoten with a centralized planning
• Guarantee JIT product flow to cover the European customer base with a clear understanding of the cost and service impact
• Need for a detailed insight of the impact of different contingency scenario’s
Business case: improve robustness of the contingency plan in case of a disruptive event affecting Arteco’s main European plant
As an automotive OEM supplier, Arteco is required to guarantee the JIT product flows towards their customers
Key takeaways
VUCA world: embrace the fast pace of escalating events
Digital twin: develop a data-driven decision-making process
Technology as enabler: not vice versa
Good partnership: understand the
details of a specific supply chain
Thank you for your attention!