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23.04.2019 - 1www.lenzing.com
FH OÖ CAMPUS STEYR, 25. April 2019
Digitalisierung – das Wundermittel für alle Probleme?
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● Per capita health care spending is rising faster than per capita income
● By 2050 health care spending will almost double claiming 20-30% of the GDP of most developed countries
● Health economies dictate the shift from treating towards predicting, diagnosing and monitoring
Age of VUCA(volatility, uncertainty,complexity, ambiguity)
1
Population andwealth growth in emerging
markets
2
Megatrends (1)
Ageing populationin Europe
3
Urbanization and“smart cities”
● Development of networked mega cities, mega regions and smart cities combining mobility, infrastructure and convenientsustainable lifestyle
● 50% of smart cities will be from Europe and North America
● City centers becoming shopping areas for expensive goods and living areas for “double income no kids” households
4
Health, Wellnessand Wellbeing
5
Source: Frost&Sullivan
Impact● Geopolitical and economic instability intensifies, raising concerns about growing volatility and uncertainty on the fashion
industry
● China interrupted: decelerated growth and shifted attention to India, Turkey and other high-growth markets; supply chainis getting faster, more flexible and shorter within the region Europe & Americas
● Population growth in emerging markets in Asia (China, India, Indonesia) and Americas (Brazil and USA)
● Western Europe decreasing population
● Average income per capita increasing
● Around 37% of world’s Gen Y population (15-34 years today) will live in India and China
● Around 80% of generation 0-14 will live in Asia
● New job seekers in Europe will decrease
● Ageing population in Europe will need to work longer
Megatrend
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Digitalization andOmni Channel
6
Fast fashionvs. slow fashionat the same time
7
Megatrends (2)
Demand forpersonalization /individualization
8
Shift ineconomic power
to Asia
9
ImpactMegatrend
● Emerging markets will dominate the world’s top 10 economies in 2050 (E7: China, India, Indonesia, Brazil, Russia,Mexico, Turkey)
● Vietnam, India and Bangladesh are projected to be the fastest growing economies
● However, today’s advanced economies will continue to have higher average incomes
● Channel management moving closer to B2B2C relationships
● E Commerce growth rate is expected over 12 % p.a.
● E-commerce in luxury fashion will increase fourfold until 2020
● Blogger, You-tuber get the power as main opinion leader in the fashion and lifestyle industry
● Rising of a lot of start-ups in the apparel industry with sustainability background
● Global Fast Fashion retailer grow in the online business and are facing challenges for further high growth rates
● Greenpeace published in 2017 a new white paper against fast fashion and trend towards slow fashion andsustainability
● Regional brands will grow
● Flexibility and short supply chains will become the key drivers
● Demographic change will show increased demand for quality product in addition to fast fashion
● Demographic change will raise the need for alternative working concepts
Source: Frost&Sullivan
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Effectivity
Process
EfficiencyTransparency
System Organisation Supply Chain Operations InternationalSupport
Order to fulfillmentand Logistics:analyze and improveinterfaces and reducedisturbances
Purchasing: tailormade purchasingprocess for eachcommodity group
Productionintegrated into SAP
Purchasing: basis forcommodity basedstrategies
Business ProcessOptimisation andreengineering indedicated areas
Succession planningand training of newemployees in key roles
Align sales planningprocess with productionplanning andforecasting (XYZplanning)
Improve logistics andsupply chain
Definition andharmonization of keyquality parameters
Drive continuousimprovement projects
Support other plants indedicated areas
Provide cross-training to other plants
Develop a roadmap for implementing value based strategy
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Example 1:Defining and implementing purchasing strategies
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Integrated digital tools can help creating value very fast
Classified &enriched data
Unstructuredmulitlingual data
Standardontology Customer specific
ontology
Automated classification &attribute extraction
SEMANTICENGINE
SEMANTICENGINE
Classification: quality & flexibility
ready to use both standard as well as customizedontology
flexible and full customizable high detail level (+15k categories) high precision (min 95%)
Operation: high performance real time analysis on demand maximum drill down detail high data volume fully automated process easy to use
Project: no invading approach no impact on legacy systems only few weeks of implementation customer orientation: high flexibility during project
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Example 2:Sales / Operations Planning Process
Sales Planner
Manager
Create sales forecast(demand)
Commit toproduction
volumes(supply)
Reconciliation:Balance demand &
supply
Alignment
Alignedallocation
Create thefinal
allocation
Plant Planner
Conduct fineplanning
Approval
Confirm finalproduction
volumes
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Collect, Enhance & Deliver
Example 3:Operations Improvement Process
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What are we doing with all the data we obtain on a dailybasis?
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Data Science helps us understanding interdependencies ofstochastic data and provides predictive models
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What is the biggest barrier in implementing digital tools?
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for yourattention!
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