Value Creation through Operations Excellence Fredrick Spalcke, Philips, Executive Vice President & Chief Procurement Officer Dr.. Karel Eloot, McKinsey & Company Shanghai, Senior Partner Dr Tsinghua Leadership Course – Operations Module Beijing, November, 2015
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Contents
• Perspective on Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain
• Excellence in other operations areas • Operations transformation enablers: organization and capability
• Key takeaways
Manufacturing1 is today a pivotal part of China’s economy 2014 China GDP contribution by sector
Construction 11
2014 China employment distribution by sector
Agriculture
Construction
10 12
Agriculture 30
36
43
17
41 Service
Manufacturing1
Service
23 trillion RMB
1 Use industry GDP to represent manufacturing GDP, including traditional manufacturing and mining 2 Use 2008 employment employment portion to extrapolate the manufacturing employment employment in 2014
Manufacturing 130 million people
The strong growth of manufacturing in China has been driven by a unique combination of factors Low labor cost
2014 Labor salary $/hr
Robust supply base
Number of electronic component manufacturers
3,500
Advanced infrastructure
Capex/GDP index of ports %
100
Manufacturing & engineering capacity
High school and above educated Million
282
Huge domestic market
Passenger car sales in 2014 Million units
18
3.3
38.0 1.7
700
56
145
3
91
14
Industries in China are facing challenges in different dimensions Labor cost comparison among LCC (%) Rising costs
More complicated value chain More sophisticated customers’ requirement
100
52
20
No. of countries a leading Chinese Telecom OEM sells to 1
15
70
1995
2000
2005
140
Now
The quality of our panel is lower than Korean competitors and we can not meet high-end customers’ requirement Local panel OEM manager Steel demand vs. supply growth rate in China
More volatile demand
Demand Capacity
Given particular sensitivity to challenges in China, industries need to focus on the top ones of their archetype Pain points • Sophisticated requirement Automotive
High tech
No. of researchers and technicians per million people 4,584
852
• Complicated supply chain • Sophisticated requirement
% of products produced in China 59
50
70
White goods TV Textiles
68
Mobile Computer
• Rising costs • Complicated supply chain
Annual labor salary increase rate, 2010-2015 CARG %
• Complicated supply chain
China FMCG market breakdown
Regional processing
Metals
3,302
200 253 2010
• Rising costs • Volatile demand
3
13
318
552
2015F
-2
T1/T2, 80 cities T3/T4 ~840 cities
% of global capacity in China 45 Steel
70 44 23 Cement Alumina Copper
Contents
• Perspective on Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain
• Excellence in other operations areas • Operations transformation enablers: organization and capability
• Key takeaways
Operational levers are key drivers of company value
Operational levers
Income
Revenue
• Quality • Delivery reliability • Lead time • Flexibility • Product portfolio
Product cost & Expenses
• Effective sourcing • Design-to-cost • Labor productivity • Labor cost • Capital productivity • Effective use of IT
Operations excellence
Cost and expense Net working capital
Fixed assets
• Process stability • Lead times • Sourcing contracts • Space utilization • Capital productivity
Significant impact potential from operations improvement initiatives Improvement levers Total consolidated potential of 15 - 30% before adjustments for • Price-cost squeeze • Tax effects
Purchasing and supply management Supply chain management Manufacturing
Profit Product development Service operations Sales force effectiveness
MCKINSEY EXPERIENCE
Example pre-tax ROIC1 improvement, Percent
7 - 11 Actual distribution 2-3 of levers depending 5-7 on actual performance 5 - 10 levels, industry, and company 2-3 structure 5 - 14
EVA
Purchasing-capital expenditure items
Invested capital
Supply chain management/network configuration
2-5
Manufacturing inventory Manufacturing investment/ depreciation reductions
1 Partly overlapping potential
2-7
2-3
The key to success in the new environment is becoming efficiency-driven, instead of remaining growth-driven • DtC, DtV, DfX • Modular strategy • Engineering driven
• Labor productivity and Product development
product ideas • R&D excellence
Advanced Manufacturing
Ops Procure- Excellence Capital producment tivity
• "Make or buy“ • Supply and contracting
Supply chain
strategies • Supplier selection and development
• • • • •
Demand sensing and shaping Inventory strategies End-to-end planning, forecasting Logistics optimization “Supply chain 4.0”
• • • •
flexibility Ramp up/down capacities Process design flexibility Resource productivity Innovations / Industry 4.0
• Lean capex • Lean construction • Asset footprint • Asset flexibility Operations transformation and capability building
Contents • Perspective on Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain – Philips at a glance- Context – Connecting Procurement through processes – Connecting Procurement to Development and Supply Chain
• Excellence in other operations areas • Operations transformation enablers: organization and capability
• Key takeaways
Philips is well positioned for the future Mega Trends
• Growing and aging population with more chronic diseases
• Growing demand for integral value-based healthcare solutions
• Growth geographies with growing middle class • Rising health & well-being consciousness
• The world needs more light and energy efficient lighting – Digitalization driving demand for integrated lighting solutions
Our Business Domains e r a c h t l a e H
Imaging systems for diagnostics and therapy Patient care for hospital and home
r Clinical Informatics e l e y & consulting services m u t s s e n f i o L Personal health & well-being C appliances and services g n i t h g i L
Light sources Lighting applications, systems and services
Path to value capture Categories
Measures
• Overhead cost reduction program increased from EUR 1.1
Margin Impact 20161
>100 bps
billion to EUR 1.5 billion by 2015 Productivity
• EUR 1 billion through Design for Excellence (DfX) between
100-200 bps
2014-2016 contributing to gross margin expansion
• End2End productivity gains to be achieved by 2016 Additional Productivity Improvements Investments in productivity Investments in growth Contingency
• Incremental one-time restructuring costs, investments to
>100 bps 300-400 bps
- 50 bps
upgrade IT systems, and re-engineer end to end processes between 2014-2016
• Incremental investments in new (organic) growth in
- 100 bps
adjacencies with returns after 2016
• Contingencies to cater for moderate fluctuations in market
- 50 bps
growth and price erosion compared to our assumptions Net Improvement in 2016 Reported EBITA
1 Approximate margin impact in 2016 compared to 2013 baseline
100-200 bps
Philips is also focusing on operational excellence
Accelerate!
Customer centricity Resource to win End2End Culture Operating model
Philips Accelerate overview Customer focused
People, Assets, and Positions
Strategy, planning and performance management
Processes
Leveraging Industry benchmarks “unless” it truly adds value
e r u t c e t i h c r A IT e Systems n o b k c a B Informa-
tion and (master) data
Simple IT platforms enabling process capabilities across business models
End2End value proposition
Markets
End2End process capabilities End2End customer value chain
IT landscape
PLM
CRM
ERP
Master data domains
Simplified and underpinning all IT platforms
Philips process framework
Connecting procurement through processes
Product development
Procurement
Advanced Manufacturing
Ops Excellence
Supply chain
Capital productivity
Philips Procurement’s Process House video
Philips Procurement’s Process House video
Most Procurement levers have been identified and promoted for a very long time
• Organizational Positioning
90s
• Global Commodity Management / Global Sourcing • Early Involvement and Early Supplier Involvement (ESI) • E-everything • Total Cost of Ownership • Supplier Quality Management and Development (i.e. Lean) • Make vs. Buy (e2e Value Chain design) • Risk mitigated Value Chains • Corporate Social Responsibility • Circular Economies
90s / 00s
Procurement orchestration of the E2E value chain through external & internal “suppliers”
R&D Technical Partners
Feature Trade-offs
ODMs & OEMs
Channel Partners
Competitive Value Proposition
Hard & Software Customer R&D Platforms Insight Strategies
Global 3rd Party Manufacturing
Suppliers
Procurement
Philips Value Chain1
Make vs. Buy
Manufacturing & Testing
3PL & 3PSCM
Service Alliances
Virtual Vertical Value Chains
Service Distribution & Warehousing & Returns
Customer
Note: A Philips best of best strategy is good for the customers and a great opportunity for suppliers 1 Example
Philips Procurement performance expectation communicated to the shareholders
• EUR 1 billion through Design for Excellence (DfX) between 2014-2016 contributing to gross margin expansion (CEO)
• There are many advanced ways for a Procurement function to drive value to the bottom line, but at the end all these activities must lead to tangible cost reductions and revenue increases through supplier innovation
Connecting Procurement to Marketing, Product development and Supply chain
Marketing • Customer insights • Product strategy • Product positioning • Customer value
Product development
Procurement
Advanced Manufacturing
Ops Excellence
Supply chain
Capital productivity
The Philips DfX process: the tools we use
The Philips DfX process: focus on early savings hypotheses
A• Set up project B• Clarify scope C• Formulate early savings hypotheses D• Generate savings ideas
E• Prioritize, select and allocate resources to ideas F• Report and track savings G• Train/Capability building
C1 “Should cost” analysis
Input for analysis
• Philips – Shop floor
observations – Machine rates – Depreciation – Wages • Market overview – Commodity prices (e.g., raw materials, utilities) – Industry standards (e.g., overheads, productivity) – Taxes and tariffs
Clean sheet cost breakdown
Ex-works Supply material chain cost cost
Application
Material
Landed Labor material cost cost Labor
Depreciation
Other
Manu- Profit facturing cost
Plant overhead
Manufacturing
• What should be the cost of products manufactured/assembled in that plant? • What would be the cost if outsourced?
Exworks product price
C1 Clean sheet
Material
Detailed levers Spend1 ($,M) 1a Negotiate payment terms and conditions 1b Make or buy 1c Consolidate spend 1d Negotiate price/introduce competition 1e Localized vs. Global
Labor
2a 2b 2c 3a 3b
Cost buckets
Levers
1
Total landed cost
Price
2
Volume
3
Efficiency (OLE)
4
Rate
4a Labor rate - regular 4b Labor rate- overheads (overtime, benefits)
5
OEE
5a Improve throughput
6
Plant/facility burden
6a Optimize plant layout 6b Improve energy consumption
Plant overheads
7
Inventory carrying-cost SG&A2
7a 7b
8
Transportation
8a 8b
9
Tax/duties
9a
Landed cost
Corp. allocation
Standardize SKUs/Substitute, materials Reduce excess material Reduce specification Optimize over time Reduce idle time
Improve demand planning 2 Reduce lead time Improve obsolescence Optimize transportation rates/unit 2 Optimize packaging Optimize foot print Optimize foot print
C2 Cost assumptions
Levers
Observations
1a
Negotiate payment terms and conditions with suppliers
• Payment terms matches industry best
1b
Optimize the make vs buy split for key components e.g., XX
• Internal XXX costs not tracking with the
1c
Reduce no. of suppliers in categories like metal parts, XXX by m oving to strategic suppliers
• 70% of spend is consolidated in 14
1d
Renegotiate rates with key suppliers using the “should -cost” clean sheet model on high spend components
• Average/median prices have decreased
2a
Reduce the number of SKUs on components such as frames, XXX by standardization
• Frames and packages are not
2a
Identify cheaper substitutes for high volume raw materials e.g., Aluminum
• Circular pre-cut Al sheets for XXXXX
2b
Eliminate excess material from products and packaging
• Thicker XXXX, packaging and driver
2c
Introduce “good enough” design and
• XXX are XXXX rather than painted
2013 Savings $, M
Annualized $, M
First impact
-
-
-
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
practice of XX days
market cost roadmap
suppliers and other 30% is distributed over ~ 300 suppliers
by <2% from 2011 to 2012 for top external suppliers
Materials
minimize over specification
standardized; over 2000 SKUs
instead of rolled stock
housing; Lengthier cables; XXXXpacks within boxes
C2 Cost assumptions
Levers
Labor
Plant OH
Landed cost
Observations
3a
Optimize overtime in specific cells by cross-training and load balancing
• High degree of throughput variabil-ity
3b
Reduce idle time in facility by optimizing no. of shifts, duration of shift
4a
2013 Savings $, M
Annualized $, M
First impact
XX
XX
XX
• Shift is not fully utilized
XX
XX
XX
Review labor rates in comparison with regional market rates
• Labor rates are in-line with statistics
XX
XX
XX
4b
Review labor OH rates and compare with industry benchmarks
• Labor OH is XX% of overall labor rate
XX
XX
XX
5a
Improve throughput by setting an optimal • Routing plans not in line with similar routing plan industry benchmarks
XX
XX
XX
6a
Optimize plant layout to reduce cell-tocell movement of material
• Sub-optimal cell-to-cell transfer
XX
XX
XX
6b
Reduce energy consumption by minimizing energy waste
• Underutilized parts of the facility e.g.,
XX
XX
XX
7a
Reduce inventory lead time
• Inventory days up from 20 to 50 days in
XX
XX
XX
7b
Improve time to obseletion by assessing write-offs
• Significant amount of old XX boards still
XX
XX
XX
8a
Optimize packaging to reduce shipping costs
• XX packaging has more inserts than
XX
XX
XX
8b
Optimize supplier locations for transportation cost
• Die casting produced in T aiwan,
XX
XX
XX
9a
Optimize supplier locations for duties
• Die casting produced in T aiwan,
XX
XX
XX
on certain cells e.g., painting
from the Bureau of Labor which is in-line with industry benchmarks
Inventory room/tooling shack heated the past year maintained in inventory competitors; Competitor had lesser packing material explore Mexico option explore Mexico option
C2 Cost assumptions summary
Cost buckets
Material for manuf.
(Percent)
($M)
• Supplier base can be
38
Materials (41%)
further consolidated • Low cost countries represent significant portion
XX 3
Freight
• Labor represents a
26
Wages & salaries Labor (41%)
significant portion of total cost (29%) due to intensive use of man power
XX 14
Overhead Utilities Plant overhead (18%)
Observations
4 10
Supplies & other Opex Depreciation Total
5 41
41
• Machines are largely
XX
18 100%
depreciated
• Total cost XXX($XXM) • Minus XXX ($XXM) 39%
XXX should be removed from TCO analysis and addressed in procurement levers
C3 Competitive teardown – localization Pure local supplier Degree of localization (supply base)
Covered by DfX Clean Sheet
MNC supplier in China
Covered by DfX localization
Local supplier + MNC in China
Potential opportunity through localization
MNC in China + Imported
Purely imported Module XYZ Slide
PCBA
• Supplier • Supplier
Casting
Cover
Rotor
Sheet metal
Cable
Power supply
Motor
• TBD
• TBD
• Supplier
• Supplier
• TBD
Competitor
• Supplier
Rack
• Supplier
• TBD
• Supplier • Supplier
Holding
• Supplier
Competitor
• Supplier • Supplier
Drives
• TBD
• TBD
• TBD
• Supplier
C3 Competitive teardown – example
C3 Competitive teardown – example
C4 Value engineering – example
Consumer Luminaire Disney Example A Redesigned user interaction
B Reduced redundancy XX% less material usage XX% part count reduction €XX packaging
cost savings
• Small, hidden
• Larger
display display • Complex 4-button • Button-only and knob UI interface • Access hampered Unencumber by adapter cable ed access
Red parts omitted in new design
!"##$% '()*+ ,-. – /0102*3+*+3 4(0 2"##$% 5()*+ *+ 4(0 1*3*4)$ )30
SC4.0 – example physical flow: Shopping cart and drones can be used to improve shelf availability and improve efficiency in cycle counting Camera at shopping cart scans shelves on customers tour
A camera mounted on a drone is scanning the products / pallets
Video streaming the bar codes on the stored goods … … directly to central analysis and calculation, giving …
Branch manager receives information about out of shelf and visited aisles
… an instant basis for decisions!
Improvements
▪ Shelf availability increases ▪ Wrong placed products/broken package can be detected immediately ▪ Information on which aisles are visited – leveraged to improve planogram
Companies have an opportunity to change the way they do purchasing and supplier mgt. by digitizing the end-to-end BUYER process E2E eBUYER PROCESS
Build
Setup for cross- functional impact
Understand
Yield
Analyze demand and supply market dynamics
Develop and align on category/ sourcing strategy
Execute
Implement strategy internally and externally
Review
Manage category and supplier performance
Message or topic title
eBUYER
Contents
• Perspective on Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain
• Excellence in other operations areas – Advanced manufacturing – Capital productivity
• Operations transformation enablers: organization and capability
• Key takeaways
Advanced manufacturing: the answer for our volatile world 1 Advanced lean
implementation
2 Resource
Productivity
Product development
Procurement
Advanced Manufacturing
Ops Excellence
Supply chain
Capital productivity
3 Industry 4.0
ADVANCED LEAN IMPLEMENTATION
1 Advanced lean implementation: in our volatile world, advanced lean focuses even more strongly on inflexibility and variability reduction Basic lean implementation
Advanced lean implementation
Waste
Inflexibility
Waste
Variability
Inflexibility
Variability
Traditional demand forecasts
Scenario demand forecasts
d n a m e D
d n a m e D
Time
Balance tradeoffs rather than just focus on visible waste
Use more sophisticated tools (e.g., scenariobased forecasting) Time
ADVANCED LEAN IMPLEMENTATION
1 The need to increase flexibility in operations in light of possible slow down are top COO and CXO concerns “What are the top uncertainties your company is concerned about?”
Percent of respondents who selected uncertainty in top 3 Broader economic slowdown
63
Commodity price volatility
37
Demand shift creating volume drops
33
Economic turmoil in specific regions
33
Demand shift creating volume spikes
30
New competitor/competition
22
Supplier breakdown or quality issue
19
Supplier insolvency
15
Exchange rate risk
15
Natural disaster
11
Labor strike Plant equipment breakdown
7 4
Most are concerned about a broader economic slowdown Other uncertainties are more industry and company specific Carlos Ghosn – "leaders need to be ready to cope with far more externallyimposed crises …"
ADVANCED LEAN IMPLEMENTATION
1 Flexibility and ability to act through cycles
Preempt • How can labor cost be made more flexible? • How manage WIP to optimize capital?
Detect • What leading indicators should be followed? • What systems and processes needed o generate real-time visibility?
Improve productivity and cost structure • Application of lean principles, reduction of waste
Respond • What skills do managers/employees need to rapidly ramp up?
Improve cost flexibility • Scale fixed and variable cost base with demand • Improve ability to weather
Demand
Organizational capability
Capacity
P&L impact
Capture advantage from quick recovery • What degree of flexibility / excess capacity required in plants?
Increase volume flexiblity • Technical/organizational ability of an operating system to meet demand swings
ADVANCED LEAN IMPLEMENTATION
1 For manufacturing companies we typically estimate the maximum flexibility from five high-level categories Lever description
• Fixed and variable cost reduction (>30%) Cost reduction
Fixed cost to variable Flexibility of variable cost
– Personnel and contractors – Indirect purchasing – Energy (efficiency), yield
• Outsourcing with flexible contracts (production functions, production functions) • Work force flexibilization
• Commercial contract restructuring (raw materials, end customer pricing) • Labor contracts flexibility
• Flexibility in operating model (modularity, Production setup flexibility
ramp-up/ramp-down capability, foot-print optimization) • Capital optimization and location of inventory
• Capability building on scenarios and Organization responsiveness
responses, statistical demand forecasting • Scenario planning, trigger points and actions/measures
1 Likely negative impact in maximum utilization scenario
Max impact at low utilization Savings; Percent ~15-30
~15-20
~5-201
~5-10
N/A
RESOURCE PRODUCTIVITY
2 Resource Productive Operations: Energy efficiency requires focus on the technical system, management infrastructure and mindsets Best practices for energy efficiency
Technical limit and standardization approaches
Energy KPIs on leadership’s agenda and cross-functional energy efficiency work
Typical pitfalls in China
Typical opportunities Energy efficiency example
• Rely on technical investment
• Lack of measurement of energy consumption
• Energy consumption savings can reduce hot strip mill energy cost by 15~20%
• Main levers – Technical limit analysis – Energy bridge – Cost curve
Understand and focus on energy cost
• “No risk” mindset drives reluctance to improve
– Parameter control
RESOURCE PRODUCTIVITY
2 Benchmark with “nature”, not just competitors: Theoretical Limit to understand “how far can I go?” and accelerate improvement Theoretical limit
Performance level
Target state within 24 months and payback < 2 years State after bottomup design future state (incremental approach)
Current state Time
RESOURCE PRODUCTIVITY
2 Theoretical limit is the minimum amount of energy required theoretically for a system to function Energy consumption per year Can be overcome by changes in operations as they usually come from operating at out-of-spec conditions
50%
Can be partly overcome by capital expenditure but is subject to diminishing returns
Actual Operational Design limit consumption losses
Design losses
Theoretical limit
50%
INNOVATION/INDUSTRY 4.0
3 Industry 4.0 disrupts the industrial value chain and requires companies to rethink their way of doing business • Eliminating inefficiencies across the “digital thread” (i.e., better use of information not
captured/made available/used today) • Achieving an end-to-end digital integration of operations (e.g. raw material to consumer)
• Data, computational power, and connectivity e.g., LPWA1 networks • Analytics and intelligence e.g., big data • Human machine inter-action e.g., augmented reality • Digital-to-physical conversion e.g., 3-D printing
• Build digital
Disruptive technologies
Reach next level of operational effectiveness Adapt business models
• Transform into a digital company
• • •
1 Low-power, wide-area
capabilities Enable collaboration in the ecosystem e.g., definition of standards, building strategic partnership Manage data as a valuable asset Implement 2-speed systems/data architecture Manage cyber security
Four new trends: As-a-service business models, platforms, intellectual-propertyrights-based models, and data-driven business models.
Text
INNOVATION/INDUSTRY 4.0
3 Industry 4.0 – disruptive technologies that will change the manufacturing sector from today until 2025 Data, computational power & connectivity
Analytics and intelligence
Human machine interaction
Big data/open data
Digitization and automation of knowledge work
Touch interfaces and next-level GUIs
Additive manufacturing (i.e., 3D Printing)
Quick proliferation via consumer devices
Expanding range of materials, declining prices, increased quality
Significantly reduced costs of computation, storage, and sensors
Internet of things/M2M Reduced cost of small- scale hardware and connectivity (e.g., through LPWA networks)
Cloud technology Centralization of data and virtualization of storage
Breakthrough advances in artificial intelligence and machine learning
Advanced analytics Improved algorithms and largely improved availability of data
Virtual and augmented reality Breakthrough of optical head-mounted displays (e.g., Google Glass)
Conversion to physical world
Advanced robotics (e.g., human-robot collaboration) Advances in AI, machine vision, M2M communication as well as cheaper actuators
Energy storage and harvesting Increasingly cost effective options for storing energy and harvesting energy
INNOVATION/INDUSTRY 4.0
3 New forms of human machine interaction can further optimize production processes Augmented reality
Exoskeletons
Gesture recognition
Ubimax apps on Google Glass
Festo ExoHand
Microsoft Kinect
• Exoskeleton emulating
• Input device for Windows
Description • Applications on Google Glass showing locationbased instructions to workers (e.g., directions where to go, how to complete a task)
physiology of human hand • Can support straining manual movements (worn as glove) and transmit human hand movements to robot hand
PCs enabling gesture, facial, and voice recognition
• More efficient warehouse/ • Acceleration of processes • Documentation of Possible assembly/service processes that require straining manual component quality flaws Industry 4.0 work by enabling workers to through pointing at an onapplication • Virtual training of workers • Remote assistance with do them faster and more screen 3D representation plant maintenance often • Enabling of remote handling of dangerous goods
INNOVATION/INDUSTRY 4.0
3 Based on advances in technology, robots are gaining performance while getting cheaper Robots are gaining performance while getting cheaper …
… which is driven by significant advancement in technologies
Index of average industrial robot price relative to labor compensation, Percent
3D camera technology
• Advancement in 3D vision systems
Processing & computing technologies
• Progress on programming
105 100 95 90 85 80 75 70 65 60
-5% p.a.
methods for industrial robots, e.g., using augmented reality
• Enables e.g. real-time selflocalization on shop floor Advancement in actuators
55 50 0 2000
enable better object detection • Low-cost consumer-grade 3D imaging systems enable relatively inexpensive robots • Self-localization enables that robots move autonomously on shop floor
2002
2004
2006
2008
2010
2012
• Piezoelectric actuator can be used for handling and grasping of miniature parts • Series elastic actuators can help robots detect and control the force of its movements, and avoid any accident with human “co workers”
INNOVATION/INDUSTRY 4.0
3 Eliminating digital inefficiencies along digital thread could unlock potential along 8 different value drivers
6
1st prototype showed serious flaws in test, team is waiting for next one, is too slow
Product finally has more features than the customer is willing to pay for
Supply/demand match
7
Worker spends time documenting process
1
Labor effectiveness Machine is down due to incident - Information was not captured/used to predict maintenance need
Time to market
3
Asset utilization Machine is serviced although condition was still perfect
8 4
Unclear inventory level led to an increased safety stock
Inventories Scrap produced due to wrong specifications of machine
5
Quality
Piece is waiting to pass through process station although it doesn't require processing at this station
2
Resource/process effectiveness
Service/aftersales
INNOVATION/INDUSTRY 4.0
3 We have identified a number of use cases that illustrate how impact can be created in 8 value drivers
1
remote 8 Secomea’s access technology
Knapp uses augmented reality glasses to increase warehouse worker effectiveness
facilitates service and predictive maintenance
Motors 7 Local leverages 3D
Service/ after-sales
printing, crowdsourcing, and micro-factories
player 6 Automotive uses Big Data analytics to adapt offerings to customer needs
5
Toyota uses Advanced Analytics to decrease quality issues in production
Labor effectiveness
Resource /process effectiveness
Time to market
Automotive player
2
Supply/ demand match
Bosch uses RFID technology to establish autonomous transport systems
3
Asset utilization
Quality Inventories
4
Condition-based maintenance at BMW and GE leads to fewer breakdowns
Würth developed "intelligent" storage boxes to improve inventory management
Contents
• Perspective on Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain
• Excellence in other operations areas – Advanced manufacturing – Capital productivity
• Operations transformation enablers: organization and capability
• Key takeaways
Capital productivity
Product development
Procurement
Advanced Manufacturing
Ops Excellence
Supply chain
Capital productivity
CAPITAL PRODUCTIVITY
Capital Productivity: Improving capex efficiency requires strict execution across the entire capex value chain Best practices for capex efficiency
Typical pitfalls in China
• Allocation of capital based on Portfolio optimization
limited experience
• Lack of scientific risk evaluation • Focus on key process design, ignoring supporting system
• Not considering improvement Lean design
Lean design example
• -15% capex reduction while maintaining same level of capacity and quality
• Main levers – Search for each component of
suppliers’ cost base
• Lack of transparency
– Optimize space requirements
contractors too lax
• Lack of understanding of
and cross-functional project management Project management
Typical opportunities
the project for the lowest cost solution that just solves the business problem: Minimum Technical Solution – Fully leverage China supplier chain
opportunities on specs
• Performance management of Procurement and contracting
Typical improvement opportunities
• Construction and ramp-up not closely integrated
– Avoid overcapacity – Reduce initial spare parts
needs – Set high utilization targets
CAPITAL PRODUCTIVITY
Icon provides a solution for performance management in construction, filling gap in current IT solutions landscape Key construction management functionalities Scheduling
Performance Management
Materials management
Executives
Users Project management
Frontline
Doc mgmt/ Info sharing
3D model interface
N/a
N/a
N/a
CAPITAL PRODUCTIVITY
Icon improves site productivity by reducing not productive time Do these sound like familiar experiences to you?
Icon’s value added
▪ Site activities are not prepared before
▪ Each frontline manager is notified
planned start date (e.g. drawings not ready, resources not available)
to remove roadblocks before activity start
▪ Site activities are not cross coordinated because disconnected from the masterplan
▪ Root causes for delays are not captured and discussed
▪ Information from the field (e.g. actual progress, forecast) are captured on a daily basis and synchronized with masterplan
▪ Reasons for delays are systematically collected from each site activity on a daily basis and consolidated into Key Indicators1
▪ Productivity targets are not based on
▪ Productivity data are stored and
benchmarks and not cascaded to the frontline
available for benchmarks. Frontline managers have clear target on a daily basis
▪ Individuals are not accountable for improvement actions (e.g. remove roadblocks, improve performances) 1 Connection between Icon’s modules provided as service
▪ Actions are deployed to each responsible and monitored Vs target completion date
Contents
• Perspective on Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain
• Excellence in other operations areas • Operations transformation enablers: organization and capability
• Key takeaways
Only relying on technical changes is risky; 70% of transformations fail often due to people issues Success rate of transformation %, n = 2,261
… mainly because organizational in the way
health
gets
Percent 70% of change programs fail…
30%
Percent of efforts failing to70% achieve target impact
Other obstacles
14
Inadequate resources or budget
14
Management behavior does not support change
33 Organizational Health factors
Employee resistance to change
39
The big idea: organizations need to manage performance and health with equal rigor Performance
Health
Performance outcomes • How well you are doing, e.g., – Revenue – Profit – Safety performance
Organizational outcomes • How healthy you are, e.g., – Accountability – Culture and climate – Coordination and control
Business processes • What you do to drive performance, e.g., – Business reporting – Strategic planning – Maintenance planning
Management practices • What you do to improve your health, e.g., – Role clarity – Shared vision – Rewards and recognition
Organizational structure • Roles and responsibilities • Talent • Resource allocation
Four core concepts need to be implemented in operations capability building Design concept of CCOE program From …
CEO Perspective
• Short-term solutions
Three• Emphasis on pronged technical details approach only
Change management
• Seeing lean operations as a static process
• Limited to traditional Integrated operation
lean, without considering integrated concepts
To …
• Integrating operational transformation into the overall strategy
• Integrating operating system, management infrastructure and mindset and behaviors
• Seeing transformation as a dynamic process and emphasizing change leadership
• Links between lean, energy consumption and other operational functions, into an integrated system
Operations excellence requires balanced action across 3 dimensions
Operating System
Management Infrastructure
Mindsets & Behaviors
Operating System
Mission
Tools and approaches to achieve a step change in operational performance
Achieve major improvements in productivity, overall Objectives equipment effectiveness, ontime delivery and inventory
Management Infrastructure Performance management and organization to support the operating system and enable continuous improvement Ensure sustainability of step change results and achieve further incremental continuous productivity improvements
Mindsets and Capabilities Ownership and skill for the lean transformation on all levels of the organization
Ensure sustainability of step change results and achieve further incremental continuous productivity improvements
Experiential learning is the preferred approach for adult capability building
JUST-IN-TIME EXAMPLE Focus in the following
Recall rate of simple learning content1 Learning by
Hearing (explanation) Seeing (example)
Recall rate after 3 months in %
10
32
Doing (experience)
65
I hear and I forget, I see and I remember, I do and I understand. 1 Numbers determined in concrete example by teaching small, simple chunks of information to 3 groups
!"#$%&'%(
Experiential learning uses a blended learning approach Delivery
Examples
Why it matters
Forum
• Academy
• Free-risk environment
– Theoretical content and practical
exercises to teach a single skill
• Boot camp – Immersion classroom with fieldwork
Field
• On-the-job – Immediate application in ‘real-world’
• Exchange learning – In-the-field knowledge sharing
Feedback
– Feedback based on job performance
to practice the skills and build understanding • Peer interaction reinforces behavior and makes it sustainable
• To apply skills – adults need 22 consistent applications of a new skill before it becomes automatic
• Gives the individual practical suggestions to improve the learning and act on it
Refresh your memory: Philips Procurement
We completed building our Capability Building Process Key milestones
Reasoning
Target Q3 2013
We defined our team..
2
Standardized our roles..
We standardized our Roles & Responsibilities across procurement, in 25 Job Families, in later phase to 21 Job Families
3
Competency Profiles
We defined which competencies for success we need to develop in each of our roles
Q4 2013
Q1 2014
We know who is part of our current Procurement community
1
Brand new Top Team
Scientifically validated & Externally benchmarked Q2-4 2014
4
Capability Assessment
Q3-4 2014
We are assessing all of our team members against these competencies, developing Individual, tailored, learning journey’s for individual accelerated growth
We created learning guides per job family 5
Job Rotation
Resource to Win – through Development 10%
through formal learning
20%
through others
70%
on the job
Procurement Job Family Structure: 5 Sub-functions, 21 Job
Families and 87 Jobs 5 SubFunctions
Procurement Engineering (PE)
Commodity Management (CM)
Market Procurement (MP)
Governance
Support
21 Job Families
PE Business Partners
CM Managers
MP Managers
Contracting & Nego Excellence
Analysts
87 Jobs
1 SSC = Procurement Shared Service Center
We have completed our competency profiles, knowing per job family which competencies lead to success
Capability Development Priority & Insights: Growing the capabilities which matter to each individual’s success Indicates your manager has identified these competencies as the top two most critically important capabilities to be successful your role
Two strength and development areas will be indicated based upon your overall score per competency and the importance of the competency as selected by your manager. Strength areas, e.g.: • Timely Decision Making • Conflict Management
Functional competencies Manager
Dealing with Ambiguity Interpersonal
Development areas, e.g.: • Intellectual Horsepower • Building Effective Teams
Self
Matrix Manager
Business Acumen
Building Effective Teams
Priority Setting
Motivating Others
Conflict Management
Timely Decision Making
Intellectual Horsepower
We create Oxygen for the Procurement organization to succeed through strong talents everywhere
Business drivers
Oxygen Cycle
• Reinforcing result oriented culture • Bring in stronger Procurement specialist capabilities into the function, in all of our Job Families
• Repositioning people inside or outside of Philips, and by bringing in new talents;
• Based on our Capability Analysis and Performance Stacked Ranking programs • Reductions are performance based, mostly not through transformation
45(30+ 650.7'%8+
!"#"$%&%'( *+"&(,%,
!
Line Manager & HRBP review
!
-'"./01 2"+/%+3
Management Team collective & calibrated ranking
Self & Manager Assessment
Stacked Ranking outcome: 20% A-players, ~70% B-players and ~10% lower performers
257 (20%) A-players
876 (68%) B-players
162 (12%) C-players
Grade 55 and below: Grade 60 – 70: A: 31 (9%)
B: 262 (75%)
C: 56 (16%)
A: 152 (21%)
B: 473 (66%)
Grade 80 and up: C: 87 (13%)
A: 68 (34%)
B: 111 (56%)
C: 19 (10%)
Contents
• Perspective on Operations Operations in China • Operations excellence impact on corporate market value
• Philips excellence in procurement and supply chain
• Excellence in other operations areas • Operations transformation enablers: organization and capability
• Key takeaways
Key takeaways (1/2)
• China’s economy is at a turning point – operations excellence is key to address rising cost, increasing consumer expectations and demand volatility
• Operations is a major lever to deliver value to companies across industries – both to increase profitability and to enable growth • Operations excellence comprises two dimensions – an advantageous strategic footprint and superior execution excellence (applying “classical” and “digital” tools) • Superior execution is the backbone of excellent operations – requiring a strong operating system, a rigorous management system, and strong mindsets & capabilities embedded in the organization • Experiential learning is the preferred approach for adult capability building allowing to make improvements sustainable and scalable
Key takeaways (2/2) Several levers can be pulled to capture the full value of operations: • Procurement integrates into the end-to-end value chain of external and internal “suppliers”, using DfX, TCO, value engineering, competitive tear down, clean sheets, etc. cross-functionally with Marketing and R&D • Excellence in the supply chain requires collaborative end-toend planning, supply chain segmentation, moving the global footprint closer to customers, and digital tools • Increasing volatility (e.g. market demand, disasters, currency fluctuations) requires agile operations, advanced lean (focusing strongly on inflexibility and variability reduction), and Industry 4.0 tools as major strategic levers • Resource Productivity Operations use Energy efficiency and Value-in-Use concepts to maximize the output per unit energy and material input • Achieving high Capital Productivity requires full leverage of the China supplier landscape, optimized and lean space/spec requirements, as well as rigorous performance management
The key to success in the new environment is becoming efficiency-driven, through application of operations excellence tools discussed today • DtC, DtV, DfX • Modular strategy • Engineering driven
• Labor productivity and Product development
product ideas • R&D excellence
Advanced Manufacturing
Ops Procure- Excellence Capital producment tivity
• "Make or buy“ • Supply and contracting
Supply chain
strategies • Supplier selection and development
• • • • •
Demand sensing and shaping Inventory strategies End-to-end planning, forecasting Logistics optimization “Supply chain 4.0”
• • • •
flexibility Ramp up/down capacities Process design flexibility Resource productivity Innovations / Industry 4.0
• Lean capex • Lean construction • Asset footprint • Asset flexibility Operations transformation and capability building