Conquering the after-market. Joachim Arts

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Conquering the after-market Joachim Arts

When things break ``A little neglect may breed great mischief for want of a nail the shoe was lost for want of a shoe the horse was lost for want of a horse the rider was lost. - Benjamin Franklin

Capital Goods

Capital Goods (continued)

Total Cost of Ownership for an example system 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Acquisition costs Maintenance costs Downtime costs Öner et al. (2007)

Maintenance and service costs versus acquisition costs Initial investment (EUROS) Maintenance and service costs/initial investment [%] INVESTMENT COST THOUSANDS 10000000 1000000 100000 10000 1000 100 10 1 0.1 0.01 250 200 150 100 50 MAINTENANCE/INVESTMENT [%] 0.001 Senseo Car Central heating system Truck Power plant Joint Strike Fighter Rolling stock 0 Van Dongen (2011)

Size capital goods industry Luxembourg Import 2016: 6.29 billion Euro 11.6% of GDP Export 2016: 3.33 billion Euro 6.1% of GDP Source: STATEC

Some more numbers Cost of non-availability of Boeing 747 are 300 000 euro per day as of 2003 Cost of non-availability of lithography machine are in the order of magnitude of 20 euro per second as of 2013 (1.7 Mio/day) High-tech industry: Service contracts with 2 hours, 4 hours, 8 hours, 1 day, and 2 days reaction time (e.g. IBM, ASML) Trend: Customers buy Power by the hour in-stead of capital good (e.g. Jet engines of Rolls Royce)

Size of service and maintenance industry Worldwide revenues from after-sales services: 1500 billion USD per year in 2003 (Aberdeen group) Sales of service parts and services are 8% of GDP in USA in 2003 (Aberdeen group) Sales of service parts (without services) are 8% of GDP in USA in 2006 according to US bancorp, which is 700 billion USD (Jasper 2006) Service revenues are more than 25% of total business for 120 large manufacturing companies in America, Asia Pacific and Europe (Deloitte, 2006) After-sales services account for 40% of the profit for these 120 companies (Deloitte, 2006)

Long term trends Maintenance of complex systems becomes too complicated for users themselves Users require higher availabilities (less downtime) Users look at TCO Equipment condition monitored via sensors and IoT

Long term trends (2) Maintenance of complex systems becomes too complicated for users themselves Users require higher availabilities (less downtime) Users look at TCO Equipment condition monitored via sensors and IoT Maintenance is outsourced to third party or OEM (pooling resources, pooling data, remote monitoring) More extreme: One sells function plus availability Feedback to design (better systems, higher sustainability) Sensor and IoT knowledge used to improve uptime

Resources required to run a service supply chain Service Parts

Resources required to run a service supply chain Service engineers

Resources required to run a service supply chain Service tools

Resources required to run a service supply chain Transportation of capital good to service engineer or vice versa

Resources required to run a service supply chain Call centers

Resources required to run a service supply chain Technological knowledge...

Business model Printers are not the business, they are the make business, cartridges are the business.

Business model Service contracts generate steady revenue stream and cash flow Service contracts create an enduring customer relationship (and market) Servicing cannot easily be copied (cost effectively) by competitors because of resource and data pooling

Service supply chain

Service supply chain 2 1 3 1. Normal delivery: 2 hrs. 2. Lateral transshipment: 14 hrs. 3. Emergency replenishment: 48 hrs.

Service parts supply chain Supply Central warehouse(s) Local warehouses Installed base Supply of new parts Repair shops Lateral transshipments Emergency shipments

Characteristics of service parts High prices Low demand rates and inventory turnover Demand of 5 items per year around the world is considered a fast mover

What the customer cares about about For every complex problem, there is an answer that is clear, simple, and wrong Henry Mencken 1.2 Service vs Investment 1 System Availability 0.8 0.6 0.4 0.2 0 0 50 100 150 200 250 300 350 400 450 Investment in service parts (keuro) Invest for system availability Invest for item availability

How to get a good average on a report card Subject Grade Math 15 Physics 15 Chemistry 15 Economics 15 French 15 German 15 English 15 Average 15

How to get a good average on a report card Report card 1 Report card 2 Subject Grade Math 15 Physics 15 Chemistry 15 Economics 15 French 15 German 15 English 15 Subject Grade Math 17 Physics 16 Chemistry 18 Economics 15 French 14 German 13 English 12 Average 15 Optimized per subject Average 15 Optimized for average

What the customer cares about about 1.2 Service vs Investment 1 System Availability 0.8 0.6 0.4 0.2 0 0 50 100 150 200 250 300 350 400 450 Investment (keuro) Invest for system availability Invest for item availability

How to satisfy the customer efficiently 1.2 Service vs Investment 1 System Availability 0.8 0.6 0.4 0.2 Advanced Analytics move the efficient frontier 0 0 50 100 150 200 250 300 350 400 450 Investment (keuro) Invest for system availability Invest for item availability

Insight from analytics spare part classification Spare part price Insurance spare parts: Strategic investment decision Spare parts that require daily management attention Poorly designed parts; action: redesign Chicken food: Stock plentifully Annual demand volume

Predictive analytics in the service supply chain An ounce of prevention is worth a pound of cure Benjamin Franklin +

Predictive analytics in the service supply chain Printed Circuit Board (PCB) case

Predictive analytics in the service supply chain Ball bearing case Essentially all models are wrong, but some are useful. George Box

What about coordination? Future challenge to align analytics across components

1.2 1 0.8 0.6 0.4 0.2 0 0 50 100 150 200 250 300 350 400 450 Take home messages After-sales services is a large market After-sales services can provide a competitive advantage and stable revenue for equipment manufacturing companies The supply chain of after-sales services requires a different approach from fast moving consumer goods or commodities (optimize report card) The after-sales supply chain inspires many advanced applications of analytics that save cost and improve service Service vs Investment Insurance spare parts: Strategic investment decision Poorly designed parts; action: redesign Spare part price Spare parts that require daily management attention Chicken food: Stock plentifully System Availability Investment (keuro) Annual demand volume Invest for system availability Invest for item availability

Low demand levels (implications in forecasting) Month 1 2 3 4 5 6 7 8 9 10 11 12 Demand 0 0 1 0 0 0 0 1 0 0 0 0

Life cycle of products and installed base (implications in forecasting) Needs and requirements Design Production Exploitation Disposal # Capital goods / # Spare parts 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Year in the life cycle Installs Retirements Installed base Spare part sales