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Mitigating risk with Ahlers smart data simulations for coolant products Véronique Tuteleers – Operations Manager, Arteco Coolants Kevin Onderbeke – Senior Project Manager, Ahlers Data Analytics

Mitigating risk with Ahlers smart data simulations for

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Page 1: Mitigating risk with Ahlers smart data simulations for

Mitigating risk with Ahlers smart data simulations for coolant products

Véronique Tuteleers – Operations Manager, Arteco CoolantsKevin Onderbeke – Senior Project Manager, Ahlers Data Analytics

Page 2: Mitigating risk with Ahlers smart data simulations for

Today’s topic

▪ Arteco in a nutshell

▪ Ahlers Data Analytics in a nutshell

▪ Data Analytics project approach

▪ Business case: Improving Arteco contingency planning

Page 4: Mitigating risk with Ahlers smart data simulations for

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

Page 5: Mitigating risk with Ahlers smart data simulations for

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

Page 6: Mitigating risk with Ahlers smart data simulations for

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

Page 7: Mitigating risk with Ahlers smart data simulations for

IN A NUTSHELL

Page 8: Mitigating risk with Ahlers smart data simulations for

Forward thinking & quicker decision-making in a VUCA-world

Page 9: Mitigating risk with Ahlers smart data simulations for

▪ 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

Page 10: Mitigating risk with Ahlers smart data simulations for

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

Page 11: Mitigating risk with Ahlers smart data simulations for

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

Page 12: Mitigating risk with Ahlers smart data simulations for

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

Page 13: Mitigating risk with Ahlers smart data simulations for

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

Page 14: Mitigating risk with Ahlers smart data simulations for

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

Page 15: Mitigating risk with Ahlers smart data simulations for

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

Page 16: Mitigating risk with Ahlers smart data simulations for

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

Page 17: Mitigating risk with Ahlers smart data simulations for

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

Page 18: Mitigating risk with Ahlers smart data simulations for

Thank you for your attention!