Title: Biopharmaceuticals Operations and Planning Bayer
1Biopharmaceuticals Operations and Planning _at_
Bayer
- Jörg Heidrich
- 17 Feb 2006
2Outline
- Company Overview
- Long Term Planning Issues
- Short Term Planning Issues
- Operational Excellence
- Summary
3Company Overview Bayer
- Bayer AG is a diversified multinational
conglomerate with businesses in Material
Sciences, HealthCare and Crop Sciences - 2005 Annual Revenue of USD 30 Billion plus
- 2005 EBIT growth of 50 over 2004
- Bayer HealthCare is one of the prime drivers of
future innovation and growth for Bayer AG
accounting for more than 30 of 2005 Sales - Comprises of Pharmaceuticals, Consumer Care,
Animal Health, Diagnostics and Diabetes Care - In 2006, Bayer Pharmaceuticals formed Hematology
Cardiology as a strategic business unit - Headquartered in Berkeley, CA
- 7 of BHC Sales, but significantly more in terms
of EBIT
4Company Overview HCBU Berkeley
- Integrated Biopharmaceuticals site
- Leading technology for continuous perfusion based
fermentation and purification of proteins - 1400 employees
- 11 Manufacturing facilities apart from
state-of-the-art Clinical Manufacturing Facility - Currently manufactures Kogenate-FS, a second
generation recombinant protein treatment for
Hemophilia
5HCBU Operations Overview 2001-05 Consistently
increasing output with decreasing cycle times
Looks nice, but what were the basic challenges?
6Long Term Planning Issues
7Long Term Planning _at_ Bayer
- An important aspect for Bayer in Berkeley over
2001-03 was facility strategy and capacity
planning - Six new facilities in planning or commissioning
state - Supply limited market
- Short experience with the manufacturing of
current product (launched in 1999-2000) - Key Challenges
- Lack of detailed understanding of capacities and
influencing factors - Lack of reliable data and assumptions on
manufacturing and quality capacities - Lack of cohesive understanding of key
uncertainties, decision points and
interdependence of different projects - Lack of structured methodology to estimate,
update and communicate the site capabilities
8Long Term Planning _at_ Bayer
- Long term investment decisions need to be made
without complete knowledge of the product and
processes and with significant uncertainty on
regulatory approvals
Investment Decision
4-6 Years Investment Process
6-12m
12-18m
12-18m
12-18m
9Long Term Planning _at_ Bayer
- Hierarchical Modeling Building a framework to
understand what the site capabilities are, what
are the key influencing factors and how they
change over time - Process mapping and simulation models to
understand individual manufacturing areas as well
as composite business models to represent
strategies and variability at corporate level - Blue Book Creating a common page around key data
and decision parameters - Defining the key parameters that impact site
capabilities - Analyzing historical data to establish a base
line and projecting future levels of key
parameters based on projects and business goals - Incorporating the review and update in budgeting
processes - Think Tank Cohesive and comprehensive projects
analysis to create the best possible projects
plan - Identifying key projects (Picked 15 projects out
of 150) - Establishing business constraints (Regulatory,
Financial, Resource-based) and opportunities to
derive projects strategy (Bundling,
Prioritization, Facility/Material allocation) - One site - One Voice Single window communication
of site capabilities and historical data with all
stakeholders
10Long Term Planning _at_ Bayer
- What did we learn? Uncertainties of long term
plans - Market requirements (volumes and variety
predictability, competitive landscape, changes in
competitive factors) - Process performance (new facilities can idle if
process improves beyond expectations, and you can
also run into capacity shortages if the process
deteriorates beyond expectations) - Industry environment (availability or lack of
contract manufacturing capabilities, changes in
industry standards on technologies and equipment) - Regulatory environment (Changes in regulatory
requirements - from FDA, OSHA, EPA, SEC and so
on) - Financial Capability (necessity to lock in large
capital for prolonged time before realizing
commercial return on investment is coupled with
uncertainty of regulations, markets and
technology)
The capital investments that made perfect
business sense in year 2000 might look redundant
or insufficient in 2005, and the alternatives are
11Short Term Planning Issues
12Short Term Planning _at_ Bayer
- As we were mastering the production volumes, the
next hurdle started to emerge in terms of short
term planning - Internal challenges from weak development and
transfer process - External challenges from changing market and
regulatory paradigm - Development and Transfer Process Gaps Weak
development and transfer process implied limited
understanding of the product and process
behaviors and impact of operational parameters - Each weakness caused add-on projects for
process, material, equipment and facility changes
- Each add-on contributed to product complexity at
intermediate stage as well as in finished goods
stage due to the extensive requirements of agency
approvals for changes - Reproducibility of manufacturing performance
became a heroic challenge
The challenge was not only to produce the
required volume, but to provide it at right time
in right flavor to the right customer
13Short Term Planning _at_ Bayer
- Changing Market Paradigm From Supply driven to
demand driven - Changing demand parameters - (Quantities, Lead
times, Prices) - Smaller lot sizes
- Faster life cycle management requirements
- Changing Regulatory Paradigm Risk based
Compliance and PAT - Building quality in the production processes
- Reducing the assay lead times
- Enhancing the accuracy and precision of assays
- Increased focus on automation and IT enabled
documentation
14Short Term Planning _at_ Bayer
- Process Robustness Initiatives Understanding the
science and technology to create robust
manufacturing processes for reproducibility and
reliability - Organizational Focus Strengthening of process
engineering and QA technical services groups - Science/technology based process mapping
Understand the relationships between inputs and
process performance - No Stone Unturned project Comb through every
existing practice and equipment specification to
unearth causes of process and performance
variability - Changed measurement and control technologies
(PAT) In-line measurements, Better assays
(shorter cycle times and improved precision) - Supply Chain Excellence Creating organizational
and technical capability to effectively address
the operational volatility and to meet the
changing market requirements - Organizational Restructuring Bringing core
supply chain related personnel under one
umbrella, providing 24x7 staffing for warehouse,
eliminating sub-stores - IT Infrastructure realignment Better utilization
of SAP for data, reports and MRP - Enhanced Planning Methodology Commencement of
planning projects to effectively address the
complexities of product variety and process
performance reliability (Demand Planning,
Production Planning, Inventory Planning)
15Short Term Planning _at_ Bayer
- What did we learn? Balance between short term and
long term - Process robustness is imperative for long term
success of operations, but we cant wait till
process robustness delivers the resultsso, need
to create organizational capabilities to address
current challenges - The scientific and business process improvements
have an important third leg human capital, all
changes require effective change management and
implementation structure along with willing and
able workforce of change agents
Need to put organizational capabilities in place
to address short term volatility due to inherent
Biological variability resulting in a highly
complex internal supply chain
16Operational Control
17Operational Control _at_ Bayer
- As we are addressing the issues of short term
planning, we are also facing the challenges of
execution (Operational Robustness) - Significant part of deviations coming from
operator errors and equipment reliability - Lean Initiatives Challenging our way of
execution and eliminating opportunities for
errors from processes based on statistical
analysis - Organizational Focus Created a group of
Operational Excellence with skills in Lean
Manufacturing and 6-Sigma, Mandatory minimum
number of lean projects per function - Training goal for 2006 of imparting basic
operational excellence training to more than 700
employees - Creating awareness through process mapping from
Lean perspective (identifying opportunities for
errors) along with focused projects to address
the burning issues (creating success)
18Operational Control _at_ Bayer
- Human Capital Management Imparting technical
training and inside-out leadership training to
create the skilled first tier of supervision - Job curriculum attached with each position,
Rollout of Bayer Leadership Principles,
Visibility to training performance through KPIs
(Key Performance Indicators) and MCRS (Management
Control and Reporting System) - In 2006, plan to train 120 supervisors for 10
work days per year with projected cost of USD
600,000 - Reliability Engineering Increasing the
performance of core equipment groups to ensure
100 availability for production - Setting reliability engineering program in motion
(metrics, roadmap and organizational ownership) - Identification of core equipment groups and data
analysis to establish base line and targets - Implementation through changes to equipment,
processes and practices
19Operational Control _at_ Bayer
- What are we learning? Importance of Total
Employee Involvement - Processes and equipment are enablers, but real
change agents are the employees - Sustainability of new tools and methods is
critical and therefore, the organization can not
rest on just successful launch and implementation - Execution is about continuous and incremental
improvements through the lenses of lean
techniques
Sustaining Operational Excellence is imperative
for success
20Summary
- Long term investment challenges in the high
margin Biopharmaceuticals business can be
addressed effectively through risk analysis and
business modeling - But, beware of the relationships of capacity
growth and process performance enhancements - Short term planning implies predictability and
reproducibility of manufacturing and product
supply - But, make sure to put in place organizational
capabilities and tools to deal with the highly
complex internal supply chain - Execution needs a culture of continuous
improvement and operational discipline - Given the inherent uncertainty in the biological
processes, minimizing variability due to human
and equipment related causes is an imperative for
success
21Product Supply - Kogenate