Lecture 1&2: Introduction to Operation Management
I.
Business Processes:
"A company’s operations function is either a competitive weapon or a corporate millstone. It is
seldom neutral." (Skinner, 1969)
This statement emphasizes that the operations function in a company is crucial: it can either be a source
of competitive advantage or a burden that drags the company down. It is rarely neutral or insignificant.
Operations management offers the key to superior performance in any industry
1. How do companies categorize customer expectations they want to fulfill?
Companies identify and group customer expectations based on factors such as price, quality,
delivery speed, reliability, responsiveness to demand changes, and flexibility.
These "competitive dimensions" help companies decide which aspects of operations to
prioritize: low cost, high quality, fast delivery, reliability, flexibility, or product innovation.
2. Which metrics are used to monitor and manage performance?
Performance is tracked using metrics that reflect different aspects of operations: inventory
turnover, working capital, delivery speed, reliability, logistics costs, production costs, sales,
market share, and order fulfillment rate.
Each operations or supply chain strategy will focus on different metrics. For example, an
"efficiency"-oriented supply chain will prioritize cost optimization, while a "responsiveness"oriented supply chain will focus on reducing lead time and increasing delivery reliability.
3. How are organizations structured to deliver superior (financial) performance?
The organizational structure aligns with the chosen operations strategy. For example:
Companies pursuing "Operational Excellence" will streamline processes, standardize
services, and focus on cost reduction.
Companies aiming for "Product Leadership" will prioritize innovation, invest heavily in
R&D and technology.
Companies focused on "Customer Intimacy" will personalize services/solutions for
different customer segments.
Leadership teams and departments will have specific financial goals (e.g., increasing cash flow,
reducing inventory, boosting net profit), and performance management systems will be linked
to relevant operational KPIs.
Horizontal Axis:
Left (Manufacturing organizations): Organizations that produce physical goods.
Right (Service organizations): Service organizations (such as entertainment, healthcare, nonprofits, government, utilities, retail, integrated services, etc.).
Vertical Axis:
Bottom (Core operations processes): Core processes that directly produce the company's
products and services.
Middle (Other non-core processes): Non-core processes that are still related to production and
delivery (such as procurement, distribution, etc.).
Top (Non-operations processes): Processes outside of operations (such as marketing, sales,
finance, human resources, etc.).
Meaning of the Colored Areas:
Orange area (Production/manufacturing management): Production management in
manufacturing companies (focused on managing core processes).
Green area (Operations management a & b): Operations management includes both
manufacturing and services, managing both core and supporting processes related to
production/delivery.
Blue area (Operations and process management): Comprehensive management of all
organizational processes, including all departments/functions (even marketing, finance), not
limited to production or service operations.
Meaning of the Arrows:
Shows the expansion of the scope of operations management: from managing only production
processes (manufacturing) → to managing all operations processes (operations) → to managing
all processes in the organization (process management).
Conclusion:
Operations management initially focused only on physical production, but has expanded to all
types of organizations, both service and manufacturing, aiming to manage all value-creating
processes in the organization—not just traditional production stages.
Operations Research (OR) and Analytics
Definition & Role: Operations Research and Analytics are scientific approaches that transform
raw data into useful information, and then into actionable insights. This process helps
organizations make better decisions and improve results.
How it works: OR uses mathematical modeling, statistics, and optimization to analyze complex
problems. Analytics applies these methods to study and improve business processes. There are
three main types of analytics:
II.
Descriptive Analytics: Summarizes past data to understand what happened.
Predictive Analytics: Uses data to forecast future outcomes.
Prescriptive Analytics: Recommends actions to optimize decisions.
Impact: By using OR and Analytics, organizations can turn complicated challenges into
opportunities, improve efficiency, reduce uncertainty, and make more informed decisions.
Supply Chain Management (SCM) as a Key Domain
SCM in OR/Analytics: Supply chain management and logistics are major research areas within
Operations Management and Operations Research. SCM involves managing assets and flows
(products, information, funds) across the supply chain to maximize total surplus.
Key Concepts:
Supply Chain Surplus: The value delivered to the customer minus the total supply chain
cost.
Supply Chain Profit: The price received minus the supply chain cost.
Importance: Effective SCM is central to modern value chains. Investing in procurement and
supply chain processes makes organizations more resilient to disruptions and market changes.
Current Trends & Challenges:
Recent and future trends (like digitalization, sustainability, global risks) are reshaping
supply chains. Companies must adapt by realigning their business models, investing in
analytics, and improving supply chain strategies to stay competitive.
Key Questions Raised
What makes supply chains successful? Success depends on how well companies use data and
analytics to optimize flows, reduce costs, and deliver value.
What is the impact of recent and future trends? Trends like technology, globalization, and risk
management require supply chains to be more flexible and data-driven.
How should businesses realign? By investing in analytics, procurement, and supply chain
innovation, organizations can turn challenges into opportunities and build resilience.
1.Research Design & Scope
The MIT report by Challapally et al. (July 2025) uses a multi-method approach:
Systematic review of 300+ public AI initiatives
Structured interviews with 52 organizations
Survey of 153 senior leaders at four major industry conferences
This provides a broad, data-driven view of how generative AI (GenAI) is being adopted and its
impact on business.
2. Key Findings: The GenAI Divide
Despite $30–40 billion invested in GenAI, 95% of organizations see zero measurable impact on
profit & loss (P&L).
The divide is not about model quality or regulation, but about approach—how organizations
implement and integrate GenAI.
Both buyers (enterprises, mid-market, SMBs) and builders (startups, vendors, consultancies)
experience this divide.
3. Adoption Patterns & Challenges
Over 80% of organizations have explored or piloted tools like ChatGPT and Copilot; nearly 40%
report some deployment.
However:
Most tools only boost individual productivity (e.g., helping employees work faster), not
overall business financial performance.
Enterprise-grade systems (custom or vendor-sold) are often quietly rejected:
60%+ of organizations evaluate tools
Only 20% reach pilot stage
Just 5% reach full production
Main reasons for failure: brittle workflows, lack of contextual learning, and poor fit with
daily operations.
4. Emerging Patterns from the AI Divide
Limited disruption: Only 2 out of 8 major sectors show real structural change due to GenAI.
Enterprise paradox: Large firms run the most pilots but struggle to scale up successful projects.
Investment bias: Budgets favor visible, top-line functions (like marketing or sales) over high-ROI
back office areas (like procurement or supply chain).
Implementation advantage: External partnerships (working with vendors/consultants) have
double the success rate compared to internal builds.
5. Implications & Strategic Questions
Why is GenAI not delivering business impact? Most organizations focus on tools that help
individuals, not systems that transform core business processes.
What makes supply chains and AI projects successful? Success depends on aligning technology
with real business needs, investing in process redesign, and leveraging external expertise.
How should businesses realign? Companies need to rethink their approach—prioritize
integration, contextual learning, and process fit, not just tool adoption.
1. Sales & Marketing (Bán hàng & Marketing)
AI-generated outbound emails: Tự động tạo email gửi cho khách hàng tiềm năng.
Smart lead scoring: Tự động đánh giá và xếp hạng tiềm năng của khách hàng.
Personalized content for campaigns: Tạo nội dung cá nhân hóa cho các chiến dịch quảng bá.
Follow-up automation: Tự động hóa các hoạt động chăm sóc, nhắc nhở khách hàng.
AI-based competitor analysis: Phân tích đối thủ cạnh tranh bằng AI.
Social sentiment analysis: Phân tích cảm xúc, thái độ khách hàng trên mạng xã hội bằng AI.
2. Operations (Vận hành)
Internal workflow orchestration: Tự động hóa điều phối quy trình nội bộ.
Document summarization: Tóm tắt tài liệu tự động.
Dynamic resource allocation: Phân bổ nguồn lực linh hoạt dựa trên AI.
Process compliance monitoring: Giám sát tuân thủ quy trình bằng AI.
3. Customer Service (Dịch vụ khách hàng)
Call summarization and routing: Tóm tắt nội dung cuộc gọi và định hướng đến bộ phận phù hợp.
AI-powered chatbots: Chatbot tự động phục vụ khách hàng.
Smart ticket routing: Định tuyến/trả lời yêu cầu chăm sóc khách hàng tự động.
4. Finance & Procurement (Tài chính & Mua sắm)
Contract classification and tagging: Phân loại, gắn nhãn hợp đồng tự động.
Supplier risk alerts: Cảnh báo rủi ro nhà cung cấp qua phân tích AI.
AP/AR automation: Tự động hóa quy trình thanh toán (Accounts Payable/Accounts Receivable).
General meaning:
GenAI is being applied most strongly in two large areas: Sales/Marketing and Operations (dark area,
most boxes and largest).
Other areas such as Customer Service and Finance & Procurement also use AI but with smaller
scope/application (small boxes, light color).
GenAI tools mainly focus on process automation, information optimization, data analysis, decision
support and increased work efficiency.
Key Demands of Successful Buyers
1. Process-specific customization:
Buyers want solutions tailored to their unique business processes, not generic tools.
Customization ensures that supply chain systems fit the actual workflow and requirements of
each organization.
2. Business outcome focus:
Tools and systems are evaluated based on their impact on real business outcomes—such as
customer satisfaction, cost reduction, and improved service—not just technical benchmarks or
software features. Measurement should focus on value creation and tangible results.
3. Integration with existing processes:
Successful buyers require systems that integrate smoothly with their current operations,
enabling seamless data flow and process alignment across departments.
Implications for Operations & Supply Chain Management (O&SCM) Students and Practitioners
A. What do customers value in a product or service?
Customers value timely and complete delivery (On-Time In-Full, OTIF), reliability, transparency,
product quality, and ease of transaction.
Value also comes from personalized service, clear communication, and the ability to track and
resolve issues quickly.
B. How to decide on the overall focus of a supply chain?
The supply chain focus should be determined by customer priorities: speed, cost, flexibility, or
service quality.
Use customer feedback and performance metrics (like fill rate, on-time delivery, and customer
satisfaction scores) to guide strategic decisions.
C. Which levers to use to achieve supply chain objectives?
Key levers include process redesign, technology adoption, integration of customer feedback,
and continuous improvement of service metrics.
Align performance measurement systems with customer experience, not just internal efficiency,
to drive loyalty and competitive advantage.
Explanation & Summary: Key Challenges and Main Trends in Supply Chains
1. Current Problems in Traditional Supply Chains
Traditional supply chains are struggling to handle a rapidly changing business environment due to
several major issues:
Political instability: Geopolitical tensions disrupt operations and planning.
Increasing administrative burden: More complex regulations and paperwork slow down
processes.
Trade wars: Tariffs and conflicts between countries raise costs and create uncertainty.
Short-term solutions to long-term risks: Many companies only address risks temporarily, instead
of building lasting resilience.
Post Covid-19 disruptions: The aftermath of the pandemic has led to supply chain disruptions,
inflation, economic recession risks, and more climate-related challenges.
2. Main Trends Challenging Supply Chains Today
Modern supply chains face additional challenges and trends:
Sustainability: Growing pressure to operate in environmentally-friendly and socially-responsible
ways.
Technology: Rapid adoption of digital tools and automation changes how supply chains function.
Uberization (resource sharing): Sharing resources and collaborating among multiple
organizations to increase flexibility.
Social media & social license: Stakeholders, especially customers, expect transparency,
interaction, and accountability through social platforms.
Volatility: Rapid changes in key factors (such as demand, supply, regulations) reduce
performance and stability (the "law of variability", as described by Schmenner and Swink, 1998).
Vulnerability & resilience: Supply chains must become more resilient to withstand shocks and
disruptions.
Explanation & Summary: Compounding Effect – Supply Chains
This slide contrasts a "one-size-fits-all" supply chain approach versus tailored supply chains:
1. One-size-fits-all approach:
Serving all customer segments in the same way leads to problems:
Over-servicing some groups (giving too much service/resources)
Under-servicing others (not meeting their specific needs)
2. Tailored supply chains:
Designing supply chains to fit different customer segments results in:
Better resource utilization
Higher customer satisfaction
Strong potential for higher profit margins (up to 2x)
3. Less forgiving environment:
Modern business conditions do not tolerate mistakes—inefficiencies or poor fit can significantly
hurt performance and competitiveness.
4. Implications for OSCM students & practitioners:
Students and professionals in Operations and Supply Chain Management must learn to analyze
customer needs, avoid generic solutions, and design supply chains that adapt to diverse
requirements for greater success.
III.
Theoretical framework of strategy and product classification:
Key Points:
Technologies and models (like automation, AI, or advanced analytics) can offer improvements,
but success depends on the bigger strategic picture.
Strategic frameworks help set the overall focus of the supply chain (for example, should the
strategy prioritize speed, cost, or flexibility?).
These frameworks also assist in identifying the conditions where technology delivers the most
value, and help assess how disruptive changes (such as market shifts or new competitors)
impact supply chain operations.
Answer to the Question:
How would you decide upon the focus or ‘objective’ of a supply chain?
To decide the supply chain's focus or objective:
1. Align with Business Strategy:
Make sure supply chain goals support the company's overall strategy—whether that's cost
leadership, service excellence, rapid innovation, or market expansion.
2. Understand Customer Needs:
Analyze what customers value most (speed, reliability, customization, price), and tailor the
supply chain to meet these needs.
3. Analyze Product and Market Characteristics:
Choose supply chain priorities based on product type and market conditions. For predictable
products, focus on efficiency. For volatile or innovative products, prioritize flexibility and
responsiveness.
4. Assess Risk and Disruptive Trends:
Factor in risks (like supply disruptions, changing technologies, new regulations) and build supply
chain strategies that can adapt to these challenges.
5. Use Data and Performance Metrics:
Track key indicators (like delivery times, inventory turnover, service levels) to measure progress
and adjust objectives as market or business strategies evolve.
Product (Demand) Characteristics – Fisher Framework
-
Fisher’s objective is to provide a practical model to help companies understand the character of
demand for their products, and then design the right supply chain to meet that demand.
Point of departure: The model starts by distinguishing two main types of products:
Functional products: Basic, stable items with predictable demand (e.g., staple foods, household
products).
Innovative products: New, fashionable, or rapidly changing items with unpredictable demand
(e.g., tech gadgets, trendy apparel).
To match these product types, Fisher also identifies two main supply chain focuses:
Efficient supply chains are optimized for cost and reliability, best for functional products.
Responsive supply chains are designed for flexibility and speed, best for innovative products.
1. Functional products:
These products satisfy basic needs (e.g., bread, milk, soap).
They have stable, predictable demand and very little change over time.
Forecasting demand is relatively easy (low forecast error).
They usually have low profit margins because of high competition and steady demand.
2. Innovative products:
These items have short life cycles (fashion, high-tech gadgets, trendy items).
Their demand is unpredictable and can change rapidly (variable demand).
It's much harder to forecast their sales (high forecast error).
These products offer higher profit margins but often require markdowns at the end of the
season to clear unsold inventory.
Key point:
The same product might shift between being 'functional' and 'innovative' depending on how it's
marketed or changes in customer perception. For example, yogurt can be a basic commodity
(functional) or become innovative with new flavors or branding.
Characteristic
Efficient Supply Chain
Goal
Manufacturing
Low cost supply
Minimize cost and
meet standards
High utilization, long
runs, large batches
Inventory Mgmt
Minimize cost
Modular to delay differentiation
Flexibility to adjust to unexpected
demand or technology changes
Hold stock to meet uncertain
demand
Lead Time
Controlled
As short as possible
Supplier Selection
Low cost and quality
Agility and quality
Transportation
Truck, rail, ship
Air, couriers
Day-to-Day Mgmt
Low
High
Product Design
Responsive Supply Chain
Adaptive to changing demand
patterns
Key Points:
Efficient supply chains are designed for stable, predictable products (like functional goods). They
focus on minimizing costs at every stage, running long production batches, keeping inventory
low, controlling lead times, and using cost-effective transportation.
Responsive supply chains suit innovative or unpredictable products. They prioritize speed and
flexibility, hold extra inventory to handle uncertain demand, choose suppliers for agility, opt for
fast transportation (like air freight), and require intensive day-to-day management.
The Matrix
The grid has Product type on the top (Functional vs. Innovative) and Supply Chain (SC)
strategy on the side (Efficient vs. Responsive).
"Match" cells (upper left and lower right):
Efficient supply chain + functional product: This is ideal for everyday products with
stable demand. The supply chain focuses on low cost and reliability.
Responsive supply chain + innovative product: This is best for products with uncertain,
fast-changing demand. The supply chain needs to be flexible and agile.
"Mismatch" cells (upper right and lower left):
Efficient supply chain + innovative product (upper right): This is a common problem. The
supply chain is too slow or rigid for a fast-moving, new product, leading to poor results.
Responsive supply chain + functional product (lower left): This is rare because there's
little benefit—an agile supply chain is not needed for a stable product, and it adds
unnecessary cost.
Key Takeaways
If a company finds itself in a mismatch cell, it should either change the supply chain strategy or
change how the product is managed.
For innovative products, investing in responsiveness (flexibility, speed) usually delivers more
value than just making the supply chain more efficient.
Most mismatches happen when a company uses an efficient supply chain for an innovative
product (upper right). Problems here are much more common than the reverse.
IV.
Demand-Supply Characteristics and Supply Chain Strategy:
Slide 1: Functional vs. Innovative Products and Stable vs. Evolving Supply
This table helps you see how both demand uncertainty (Functional ↔ Innovative) and supply
uncertainty (Stable ↔ Evolving) affect supply chain challenges:
-
Functional Products (e.g., bread, detergent):
Low demand uncertainty, predictable and stable demand, long product life, low inventory costs,
low margins, few varieties, high volume per SKU, low stockout and obsolescence costs.
Innovative Products (e.g., high-fashion, electronics):
High demand uncertainty, difficult to forecast, short selling seasons, high inventory and stockout
costs, high profit margins, many varieties, and risk of high obsolescence.
Stable Supply (e.g., mature manufacturing):
Reliable, high yields, many supply sources, fewer process changes, easier to change over,
flexible, dependable lead time.
- Evolving Supply (e.g., new/emerging suppliers/process):
Prone to breakdowns, variable/lower yields, limited sources, more quality/process changes,
constrained capacity, difficult to change over, inflexible, variable lead times.
Key concept: The more uncertainty in demand or supply, the more challenging it is to manage
the supply chain effectively.
Slide 2: Lee's (2002) Framework for Matching SC Strategies
This slide introduces a 2x2 matrix that helps managers design their supply chain strategy based on two
types of uncertainty:
Demand uncertainty (functional vs. innovative product)
Supply uncertainty (stable vs. evolving process)
The matrix yields four main SC strategies:
Low Demand Uncertainty
(Functional Product)
High Demand Uncertainty
(Innovative Product)
Low Supply Uncertainty(Stable
Process)
Efficient SC:
- Optimize for efficiency
- Use integration, autoreplenishment
- Vendor Managed Inventory (VMI)
Responsive SC:
- Build-to-order
- Flexible/manufacturing
- Postponement, accurate response
High Supply Uncertainty(Evolving
Process)
Risk-Hedging SC:
- Buffer inventory
- Multiple sourcing
- Information sharing
Agile SC:
- Dynamic supply networks
- Design collaboration
- Postponement, flexibility
Example for each quadrant:
Efficient SC: Staple groceries (e.g., packaged rice, canned foods)
Responsive SC: High-end fashion or new electronics
Risk-Hedging SC: Commodities in volatile markets (e.g., natural gas, cocoa)
Agile SC: Latest tech gadgets with uncertain suppliers and unpredictable demand
Explanation & Summary: Supply Chain Drivers (Chopra, 2019)
This slide explains how companies can balance cost efficiency and demand responsiveness in their
supply chain by managing key structural drivers.
1. Strategic Layers
Competitive Strategy: This is the overall direction of a business (e.g., cost leadership,
differentiation).
Supply Chain Strategy: Supply chain design should support the competitive strategy—either
focusing on efficiency (minimizing cost) or responsiveness (reacting quickly to changes in
demand).
2. Supply Chain Structure
A firm's supply chain can be structured along a spectrum from high efficiency to high
responsiveness.
Moving towards responsiveness enables rapid reaction to market changes, but often comes with
increased costs. Efficiency usually reduces cost but may affect the ability to respond to demand
fluctuations.
3. Supply Chain Drivers
Logistical Drivers:
Facilities: Number, location, and capacity of warehouses, factories. More facilities can improve
responsiveness but raise costs.
Inventory: Amount and location of stock. Holding more inventory can increase responsiveness,
but increases holding costs.
Transportation: Choice of transport modes affects speed and cost. Faster transport increases
responsiveness but is typically more expensive.
Cross-Functional Drivers:
Information: Sharing timely, accurate data across the supply chain improves decision-making
and coordination.
Sourcing: Decisions about suppliers and partners. Flexible sourcing can boost responsiveness,
while consolidating suppliers may increase efficiency.
Pricing: Strategies used to balance demand, manage inventory, and influence market dynamics.
How Do These Drivers Work?
Companies make deliberate choices on facilities, inventory, transportation, information,
sourcing, and pricing to find the right balance between cost and responsiveness for their market
and customers.
Example: For innovative products, prioritize responsiveness (more inventory, flexible transport,
and sourcing); for functional products, prioritize efficiency (fewer facilities, lower inventory,
cost-effective transportation).
Explanation & Summary: Competitive Dimensions and Value
This slide describes the main ways companies can create value for customers, and the dimensions on
which they compete in the market:
1. Cost or price: Companies can differentiate themselves by offering products or services at a lower cost.
The ability to produce or deliver cheaply helps win price-sensitive customers.
2. Quality: Delivering a great product or service is another key competitive dimension. This includes
both:
-
Design quality: How well the product meets customer needs and expectations
Process quality: Consistency and reliability in production or service delivery
3. Delivery speed: Being able to deliver products or services quickly attracts customers who value rapid
fulfillment.
4. Delivery reliability: Keeping promises about delivery time builds trust; customers value getting what
they ordered when promised.
5. Coping with changes in demand: Companies need the ability to scale up or down smoothly when
market volume changes, to be competitive during fluctuations.
6. Flexibility and new product introduction: The ability to quickly adapt, change, or introduce new
products helps businesses stay ahead in dynamic markets.
7. Other product-specific characteristics: Sometimes unique features or after-sales support further
differentiate a product and add value for specific customer segments.
Explanation: Treacy & Wiersema (1995) Value Strategies
These two slides present a well-known model suggesting that market-leading organizations succeed by
focusing on one of three key value propositions, while still meeting competitive standards in the
remaining two:
1. Operational Excellence:
Focuses on minimizing costs and running highly efficient, reliable operations.
Delivers products/services at the lowest possible price (for a given quality level).
Examples: Walmart, McDonald's — both are known for streamlined operations and low prices.
2. Product Leadership:
Focuses on developing, producing, and offering the most innovative and high-specification
products.
Prioritizes technology leadership and rapid product development.
Examples: Apple, Tesla — companies recognized for innovation and cutting-edge technology.
3. Customer Intimacy:
Focuses on deeply understanding specific customer needs and delivering tailored, complete
solutions for those needs.
Prioritizes customized offerings, high level of personal service, and establishing strong customer
relationships.
Examples: Nordstrom, Ritz Carlton, Salesforce — brands that deliver exceptional, personalized
customer experiences.
Key Point:
Most market leaders do not try to excel at all three; instead, they choose one primary value discipline as
their core strategy and maintain acceptable performance in the other two.
Answers to Questions:
What are the three value propositions organizations can choose to compete with?
Operational Excellence
Product Leadership
Customer Intimacy
Market leaders generally choose to excel in one and keep the others at competitive levels.
What do these strategies mean? (With examples):
Operational Excellence: Keep costs low, deliver reliably at the best price (e.g., Walmart).
Product Leadership: Innovate and deliver the best or newest products (e.g., Apple).
Customer Intimacy: Understand and solve unique customer problems with tailored solutions
(e.g., Ritz Carlton).
Examples?
Operational Excellence: Walmart, McDonald's
Product Leadership: Apple, Tesla
Customer Intimacy: Ritz Carlton, Nordstrom
Explanation & Summary: Factors Affecting the Alignment of Strategies
This slide describes that supply chain strategy must always be aligned with the company's overall
competitive (business) strategy—there is not one universal supply chain strategy that fits all situations.
Key Points:
1. Strategy Alignment:
The right supply chain strategy depends on which competitive strategy (e.g. cost
leadership or differentiation) the company is pursuing for particular customer segments.
Example: Porter’s competitive advantage—some companies compete mainly by low
cost, others focus on unique product features (differentiation).
2. Multiple Products & Customer Segments:
Companies often serve more than one customer group or sell many types of products.
Therefore, supply chains need to be tailored: some processes may be shared across
segments, while others are designed specifically for each segment or product.
3. Changing Competitive Environment:
The number of competitors and how they compete changes over time—more
competition means greater emphasis on variety and price.
Technology (like the Internet) increases options for consumers and makes it easier for
firms to offer more types of products.
4. Product Life Cycle:
As products move through their life cycle (introduction, growth, maturity, decline), the
ideal supply chain strategy shifts—from being responsive at launch, to becoming more
efficient during maturity, and may switch back to responsiveness if repositioned or
relaunched.
Full Explanation: Supply Chain Triangle, Trade-offs & Working Capital
These slides introduce the essential framework for balancing priorities in modern supply chain
management (SCM): the Supply Chain Triangle—balancing Service, Cost, and Cash. Each vertex impacts
how supply chains operate and how firms create value.
1. The Supply Chain Triangle: Service, Cost, Cash
The triangle framework shows the three strategic priorities in SCM:
Service: Measures the ability to deliver what the customer wants, when they want it (product
variety, service level, lead time, reliability, flexibility).
Cost: Covers all costs required to deliver the product or service (warehousing, logistics,
manufacturing, purchasing). Lowering costs often means trade-offs with service or cash.
Cash: Refers to working capital—money invested in the supply chain (inventory, accounts
receivable vs. accounts payable).
Key lesson: Improving one corner (e.g., faster service) often means higher costs or more cash tied up in
inventory. The challenge is balancing all three.
2. Trade-offs: Value Strategy and KPIs
Each vertex of the triangle links to key performance indicators (KPIs):
Service KPIs: Product assortment, target service level (OTIF), lead time, reliability, order
flexibility, consignment stock.
Cost KPIs: Warehousing, logistics, production, purchasing expenses.
Cash KPIs: Inventory levels, working capital metrics.
Companies must constantly trade off between these KPIs. For example, increasing product
variety or holding more inventory can improve service but will increase cost and cash needed.
3. Working Capital ('Cash'): Definition & Role
"Cash" in SCM is actually working capital:
Defined as current assets minus current liabilities. The simple formula for supply chain:
Working Capital=Inventory+Accounts Receivable−Accounts PayableWorking Capital=Inventory+Accounts
Receivable−Accounts Payable
Having more inventory boosts customer service, but it increases cash tied up and raises
cost.
Good cash management means keeping inventory lean while still meeting demand.
4. Examples of Balancing the Triangle
Lowering safety stock can reduce cash and cost by holding less inventory, but may decrease
service if demand is unpredictable.
Sourcing in Far East/large batch production maximizes production efficiency (lower cost), but
can raise inventory (more cash tied up) and affect time to delivery (service).
Managers must seek the optimal balance based on their value strategy: some firms prioritize
cost (e.g., commodity suppliers), others prioritize service (e.g., luxury goods retailers), and all
must manage cash carefully.
5. Practical Implications
There is no perfect solution—every supply chain must choose trade-offs, aligning them with
overall business strategy and market expectations.
The triangle is used to guide decisions on KPI targets and supply chain policy (e.g., inventory
levels, batch sizes, supplier choices).
Slide 1: Focus/Incentives and Performance Metrics in a Production Company
This organizational chart shows how typical production companies structure their operations
and incentives:
CEO sits at the top, overseeing the whole organization.
CFO focuses on high-level financial metrics such as earnings per share and inventory
turns.
Below them, departments include Purchasing, Production, Supply Chain,
and Sales/Marketing. Each department has its own cost-based targets:
Purchasing: aims to minimize purchasing costs
Production: aims to minimize manufacturing costs
Supply Chain: targets logistics cost and inventory turnover
Sales/Marketing: focuses on turnover and market share
Key point: Each department focuses on its own KPIs, often related to cost and volume. When
profitability and growth are strong, pressure on departments to cut costs or make radical
changes tends to be limited.
Slide 2: Pressure Is Limited When Growth/Profitability Are Strong
This slide reinforces that so long as the company is growing and profitable, there is little
pressure on the system or on managers to make big changes or take difficult trade-offs.
The implication: If things are going well, everyone tends to stay in their lane, focused on
improving their own KPIs, not worrying much about company-wide priorities or strategic shifts.
Slide 3: Resulting Pressure in the Supply Chain Triangle
This visual shows the Supply Chain Triangle (Service, Cost, Cash) with arrows demonstrating
which roles apply pressure on each vertex:
VP Sales/Marketing: Pushes for higher Service (better assortment, reliability, flexibility)
VP Operations, VP Purchasing, VP Supply Chain: Push for lower Cost (manufacturing,
procurement, logistics)
CFO, VP Supply Chain: Focus on lower working capital or Cash (inventory reduction,
higher inventory turns)
When growth and profitability are strong, the arrows (pressures) are relatively balanced and
limited. Departments "pull" in their own directions, but trade-off decisions are manageable, and
KPIs are usually met without conflict.
Slide 1: Treacy & Wiersema (1995) and the Supply Chain Triangle
This diagram connects three strategic value disciplines (from Treacy & Wiersema): Product
Leadership, Customer Intimacy, and Operational Excellence—to the Supply Chain (SC) Triangle
framework (Service, Cost, Cash/Inventory).
The triangle shows three competing priorities for supply chains:
Service (top vertex): Measured by gross margin, represents how much value or
differentiation a company provides to customers. High service requires extra investment
and may justify higher prices/margins.
Inventory/Cash (left vertex): High inventory turns mean efficient use of cash (less tied
up), but may challenge service if inventory is too lean.
Cost (right vertex): Lower cost of goods sold (COGS) means stronger cost management
and potentially higher profit.
Strategy/Discipline lines:
Product Leadership (solid line): High service, high risk, and potentially highest payoff—
companies here (e.g., Apple) invest in innovation, accept higher costs, and often hold
more inventory to enable rapid launches.
Customer Intimacy (dashed line): Focus on tailored solutions for each customer, often
going "the extra mile" at added cost and with premium pricing. Service is high, and costs
(including inventory) are also higher.
Operational Excellence (dotted line): Excel at minimizing costs and optimizing basic
service. These organizations (e.g., Walmart) operate with lean inventory, extremely low
costs, and good-enough service. Lowest risk, most stable returns.
Implications:
You can't maximize all three corners at once. Different strategies create different shapes
and areas on the triangle—some pull towards service, some towards cost, and some
towards cash efficiency.
When comparing KPIs (Key Performance Indicators) between companies, product
groups, or business units, it's crucial to remember their core value discipline. For
example, a product leadership firm will have higher margins and may carry more
inventory, while an operational excellence company focuses on very low cost and high
turns.
Slide 2: Metrics, KPIs, and Strategic Trade-offs
This slide highlights how supply chain metrics and KPIs should be derived from—and matched to—the
company’s overall strategy and chosen supply chain drivers (per Chopra, 2019):
Detailed metrics (for service, cost, cash/inventory) help measure the impact of supply chain
decisions. For example: inventory days, service level (OTIF), cost per unit shipped, margin, etc.
Simple KPIs can be linked to the main supply chain drivers (facilities, inventory, transportation,
information, sourcing, pricing).
Trade-offs: Companies must make trade-offs in the SC triangle. For example:
Product leadership strategies accept higher costs and inventory (for high service).
Operational excellence strategies push for minimal costs and inventory (for high
efficiency), possibly sacrificing innovation or customization.
Customer intimacy may involve extra cost, complexity, and premium pricing for tailored
service.
Strategic alignment: Different companies, product groups, and even different supply chain
strategies within the same company will have different KPI targets and financial metrics. The
metrics must reflect the trade-offs and priorities chosen.
V.
Advanced perspectives: customer segmentation, optimization and tailored supply chains
Detailed Explanation: Dynamic Alignment (Gattorna & Ellis, 2020)
This slide introduces the concept of dynamic alignment in supply chain and operations management—a
framework developed by Gattorna & Ellis (2020) for tailoring business strategy to the actual buying
behavior of customers.
Key points from the slide:
1. Inside-out perspective (customer focus):
Rather than designing operations around what the business wants to offer, firms should
first look at their market from the perspective of their customers—understand their
needs and preferences deeply.
2. Proprietary framework of dynamic alignment:
The approach uses a structured framework, based on established strategic thinking, to
help organizations respond effectively to their market.
3. Distinguish buying behaviors:
Companies need to recognize and categorize different types of customer buying
patterns or attitudes (e.g., some want speed and convenience, others value low price or
reliability).
4. Buying behaviors change over time:
It's not enough to set one strategy and leave it unchanged. Customer preferences
evolve—so supply chains must adjust frequently to remain relevant.
5. Formulate matching value propositions and strategies:
For each behavioral segment identified, companies should create a tailored value
proposition (what you offer) and operational strategy (how you deliver it) that fits their
needs.
6. Match volatility with "clockspeed":
In volatile, fast-changing environments, organizations need to react quickly—matching
rapid changes in customer behavior with fast internal decision-making cycles (referred
to as "clockspeed").
Explanation & Summary: Segmenting Customer Types for Supply Chain Differentiation
This slide emphasizes the importance of segmenting customers based on their needs and behaviors, not
just simple characteristics like size, profitability, or location.
Key points:
Don't segment solely on demographic or financial factors (like company size, profit, or region).
Instead, focus on what customers expect from your service and how they behave when
purchasing.
Different customer types require different supply chain strategies ("supply chain responses").
For example: some customers may value speed, others reliability or customization. By
understanding these differences, you can design supply chains that specifically address each
segment's expectations.
This approach is supported by earlier frameworks (like Fisher, Lee, Gattorna), which all highlight
the need to align supply chain design with customer behavior and expectations.
Explanation & Summary: Tailoring Supply Chains and Logistics
Slide 5: Tailoring Supply Chains
This slide highlights the risks of using consolidated, one-size-fits-all supply chain channels:
Companies often charge customers based on average cost (per value, weight, or volume), and
respond at the average speed for everyone.
The problem is that responsiveness gets determined by the slowest shared process—so urgent
needs can't be met quickly and basic needs don't benefit from efficiency.
Consequences:
Customers needing specialized products and services get underserved, since their
requirements exceed the average standard provided.
Customers who only need basic, commodity-like products are overcharged—they pay
for an unnecessarily high service level, or bear costs that should not apply to their
simple needs.
Takeaway: Consolidated supply chains that treat all customer needs the same are inefficient and
unsatisfying: neither niche nor mainstream customers get the right value.
Steps to Tailored Logistics
This slide provides a process for building supply chains that truly fit diverse customer segments:
1. Segment customers by logistics-related buying criteria: Group customers based on what matters
to them in delivery, speed, or service—not just by industry or location.
2. Develop differential service standards: Set distinct service levels for each segment (some may
demand fast delivery, others care about reliability or price).
3. Tailoring: Split and redesign logistics streams ("pipelines") for each segment's needs, instead of
forcing everyone through the same channel.
4. Selectively exploit economies of scale: Find ways for segments to share infrastructure or
resources only where it truly reduces costs—avoid forced consolidation that hurts service.
5. Develop integrated reporting systems: Monitor and balance flows across all tailored pipelines to
ensure service is delivered as promised and costs stay under control.
Explanation & Summary: Advanced Perspectives in Supply Chain Strategy
This slide covers two advanced ideas:
1. Strategies change over the product life cycle:
As a product moves from launch (introduction) to growth, maturity, and eventual decline, the
supply chain strategy often changes too.
For example, introduction/growth phases might require a responsive supply chain (fast, flexible,
able to handle uncertainty). In maturity/decline, an efficient supply chain (focused on cost and
stability) becomes more appropriate.
2. Strategies differ across supply chain stages:
You may not use the same strategy for every part of your supply chain.
For example, sourcing (buying raw materials) might prioritize cost-efficiency, while final delivery
to customers (distribution) may require speed or customization.
Explanation & Summary: End-to-End Alignment (Gattorna & Ellis, 2020)
This slide illustrates the concept of end-to-end alignment in supply chains, focusing on how different
segments of suppliers and customers (with varying expectations) are matched by the structure and
behavior of the supply-side and demand-side networks.
Key Elements of the Slide:
1. Supplier and Customer Segments:
Both suppliers (left) and customers (right) are divided into expectation-based segments:
Innovative (solutions)
Dynamic
Pragmatic (project)
Process driven (transactional)
Trusted & reliable partners (collaborative)
Each segment represents different behaviors and expectations regarding flexibility,
responsiveness, reliability, and collaborative mindset.
2. Supply-Side and Demand-Side Networks:
The middle columns show matching supply-side and demand-side strategies for each
segment:
Fully flexible for the most innovative/high-expectation segments
Agile for dynamic needs
Campaign for project- or event-based needs
Lean for transactional, cost-focused relationships
Collaborative for stable, reliable, and partnership-driven networks
3. Decoupling Zone:
The central "decoupling zone" represents the point in the supply chain where the pushbased (supply-driven) and pull-based (demand-driven) processes meet—this is a key
alignment point to ensure both upstream and downstream expectations are matched
effectively.
Key Takeaways:
Alignment across the chain: The framework shows that supply chains should not be managed
with a one-size-fits-all mindset. Instead, supply-side and demand-side strategies must be
matched to the specific expectations of both supplier and customer segments.
Segmentation matters: Each segment (innovative, dynamic, etc.) requires a customized
operational approach (fully flexible, agile, lean, etc.) to deliver the right value.
True end-to-end alignment means configuring your whole supply chain (from supplier to
customer) so that behaviors, processes, and expectations on both sides are synchronized.
Explanation of Slide 1: Chopra – Sharing Demand Uncertainty in the Supply Chain
This slide explains how demand uncertainty (how much and when customers will buy) is distributed and
managed across the supply chain, and how it impacts what each stage (retailer, manufacturer, supplier)
must focus on:
If the retailer absorbs most of the implied demand uncertainty:
The retailer must be very responsive (adapt quickly to customer needs and fluctuations).
The manufacturer can be somewhat efficient (balance between responsiveness and cost
efficiency).
The supplier can focus on being very efficient (standardized, low-cost operations).
Example: Supermarkets like Albert Heijn keep high stock to always meet customer demand, while their
upstream suppliers can operate on planned, steady production.
If the retailer passes on demand uncertainty to the manufacturer:
The retailer can be very efficient (lower flexibility, keep low inventory, stable
operations).
The manufacturer now must be very responsive (quickly adapt production to demand
spikes or drops).
The supplier must be somewhat responsive (more flexible than pure efficiency, less than
total responsiveness).
Example: A "make-to-order" clothing brand where the store only orders from the manufacturer when a
customer makes a purchase—puts more burden on the manufacturer to respond fast and keep
inventory.
Key Takeaway:
Wherever demand uncertainty is absorbed, that stage must be more responsive and flexible. The other
stages can optimize for efficiency as long as the uncertainty doesn’t "move upstream" to them. Smart
supply chains decide who absorbs which risk to align cost, service, and flexibility as needed.
Explanation of Slide 2: Gattorna & Ellis (2020) – Aligning Roles Across the Supply Chain
This slide emphasizes that, according to Gattorna and Ellis (2020), achieving optimal supply chain
performance is not just about aligning supply and demand overall, but also about assigning the right
roles to the right stages.
Alignment means:
The whole network (suppliers, manufacturers, retailers, etc.) should work in sync to
deliver products/services that meet customer expectations.
However:
It's practical to give different levels of responsibility, responsiveness, or efficiency to
different stages in the supply chain.
For example, one stage may specialize in high efficiency (low cost, consistent output),
while another stage is designed to be highly responsive (ready to react quickly to
demand changes).
Key takeaway:
Supply chains work best when both sides (supply and demand) are aligned, and each stage is purposely
designed—some to handle efficiency, others to deliver responsiveness—depending on their place in the
network and customer needs. This avoids forcing every stage to be equally responsive (which is costly
and unnecessary for some) or equally efficient (which can reduce customer service).
VI.
Risk management & increase supply chain resilience
Detailed Explanation: Product Classification & Supply Chain Strategies
Let's break down the main messages of these slides, linking product characteristics (demand volatility,
volume, margin) with supply chain (SC) strategies, following the logic of Fisher (1997) and Simchi-Levi &
Timmermans (2021).
1. Product Margins and the Right Supply Chain Approach
Low margin products:
Favor an efficient SC. These goods are cheap and sold in large volumes (e.g., staple
foods).
They carry low inventory risk and low stockout costs, so it's safe and cost-effective to
move them using full-truckloads to distribution centers (DCs) close to customers.
Efficiency wins because every extra cost would significantly eat into already thin
margins.
High margin products:
Require a responsive SC. These are usually more expensive items, with uncertain
demand (e.g., fashion electronics).
They are riskier in terms of inventory (holding too much or too little costs more) and
stockouts (lost sales are more expensive).
These products may need to be stocked at both centralized and regional DCs to better
match unpredictable demand.
2. Responsive Supply Chain Strategy: What It Looks Like
Finished products held at (centralized) DCs for distribution to many outlets: allows faster
reaction to varied/out-of-the-ordinary customer demand.
Crossdocking: keeps products moving quickly through the network—minimizing storage time
and speeding delivery.
Inventory pooling effect: By holding inventory in fewer places (centralized), the overall safety
stock needed is reduced, thanks to demand pooling (as demand from many locations is
aggregated, variability 'smooths out').
Increased forecast accuracy: Pooling and centralization allow for better predictions of total
demand.
Goal: Exploit these benefits to balance out inventory and shortage costs.
3. Efficient Supply Chain Strategy: What It Looks Like
Works best for products with low demand volatility (stable demand).
Uses high-capacity trucks (full loads = lower transportation costs).
Relies on fixed inventory replenishment—set schedules, predictable flows.
Keeps inventory and transportation costs low by maximizing efficiency and minimizing excess
stock.
4. Foundations: The Fisher (1997) Framework
Recommends classifying products based on demand volatility, volume, and profit margin.
Motivation: Different types of goods need different SC strategies. High-volume, stable, lowmargin products require efficiency; low-volume, volatile, high-margin products need
responsiveness.
For more technical classification methods, see specialized courses (like SCDA).
5. The Simchi-Levi & Timmermans Matrix (2021)
This graphic summarizes the match between product characteristics and SC strategy:
Y-axis (vertical): Volume of products sold (High to Low)
X-axis (horizontal): Product-demand volatility (Low to High)
Top left: High-volume, low-volatility = Efficient strategy (large, predictable, low-margin
products)
Right: High demand volatility = Responsive strategy (products sold in many variants,
unpredictable demand)
Lower left (Hybrid): Low-volume items, where there's a split:
Low-margin = efficiency
High-margin = responsiveness
The hybrid strategy applies when neither pure efficiency nor pure responsiveness fits perfectly
(e.g., low-volume products with mixed margin and volatility profiles).
Key Takeaways
Supply chain strategy should always match product characteristics:
Stable, high-volume, low-margin products: prioritize efficiency
Unstable, low-volume, high-margin products: prioritize responsiveness
The hybrid approach may be needed for products with mixed traits.
This logic is central to modern supply chain design and is rooted in the foundational Fisher
(1997) framework, updated by Simchi-Levi & Timmermans (2021).
Effective supply chain management means analyzing your product portfolio and applying the
right strategy to the right segment—never a one-size-fits-all approach.
1. What is Supply Chain Resilience?
Definition: Supply chain resilience is the ability of a supply chain to adapt, prepare for
unexpected events, respond to disruptions, and recover quickly while maintaining smooth,
connected operations and control (Ponomarov et al. 2009).
Challenge: How to build a resilient supply chain without raising costs too much or making the
company less competitive.
2. Key Approaches to Improving SC Resilience
1. Uncovering and Addressing Hidden Risks
Identifying vulnerabilities: Mapping the supply chain to find weak spots or potential risks (for
example, a supplier in a single region could be a critical risk if that region faces disruptions).
Diversifying the supply base: Sourcing from more and more regionally diverse suppliers to
reduce dependence on any one supplier or region.
Holding intermediate or safety stock: Keeping extra inventory or work-in-progress goods as a
buffer, so supply chain breaks or demand surges don’t immediately halt operations.
2. Taking Advantage of Process Innovations
Automation: Investing in robotics and automated systems (like Amazon's warehouses) to make
supply chains less reliant on manual labor and more reliable.
New processing technologies: Adopting new ways of manufacturing that support smaller,
flexible production batches (helpful for products like vaccines, which may have highly variable
demand).
Continuous flow manufacturing: Enabling continuous, on-demand production of key materials
(e.g., APIs for pharmaceuticals) so you can ramp up quickly when needs arise.
Additive (3D) manufacturing: Using 3D printing to make spare parts or products on demand,
increasing flexibility and reducing inventory needs.
3. Revising the Trade-off Between Product Variety and Capacity Flexibility
Challenge: Companies with a large product range may struggle to switch production lines
quickly, especially during sudden demand changes (the US toilet paper shortage during COVID19 is a classic example).
Case example: Louis Vuitton adapted its production for new product launches and to guarantee
product availability—demonstrating the importance of adjusting product variety and
manufacturing flexibility.
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