Chapter 4
Making and Delivering: Where Value Creation Meets Customer Satisfaction
The making and delivering operations are where supply chains create tangible value for customers. Product design fundamentally shapes the supply chain and can account for 50% or more of product costs. Cross-functional design teams combining design, procurement, and manufacturing perspectives create the most successful products with efficient supply chains, faster time to market, and competitive costs.
Production scheduling allocates available capacity to balance three competing objectives: high utilization rates (requiring long production runs and centralized facilities), low inventory levels (requiring short runs and just-in-time delivery), and high customer service levels (often requiring higher inventory or frequent production runs). For multi-product facilities, this involves determining economic lot sizes and sequencing production runs based on "run-out time."
Facility management operates within location constraints to optimize available capacity through three key decision areas: facility roles (what activities each location performs), capacity allocation (equipment and labor deployment), and supplier/market allocation (which suppliers serve which facilities and which facilities serve which markets).
Order management passes customer order information backward through the supply chain while sending delivery dates and product information forward to customers. This process traditionally relied on telephone and paper documents but is increasingly digital. When a company generates a purchase order to a supplier, that supplier either fills it from inventory or sources products from other suppliers by creating additional purchase orders.
Delivery scheduling is heavily influenced by transportation mode decisions. There are two primary delivery methods: direct deliveries (from one origin to one destination) and milk run deliveries (serving either multiple receiving locations from one origin or multiple origins to one destination). Deliveries can originate from either single-product locations or distribution centers, which may use crossdocking to minimize handling and storage costs.
Return processing, or "reverse logistics," handles product returns when wrong products are delivered, items arrive damaged, or excess product is shipped. While return processing should be efficient, the focus should be on eliminating the root causes that necessitate returns. Product recycling represents a value-added application of returns, where items are sent back at the end of their lifecycle for reuse or safe disposal.
The relentless pressure on profit margins in free markets drives the growth of outsourcing. Operations that represent overhead for one company may be profitable service opportunities for another company that can perform them more efficiently.
Chapter 5
Technology Transformation: The Digital Supply Chain Revolution
Information technology is fundamentally transforming traditional supply chain technologies. While the basic tasks of moving products remain the same, how these tasks are performed and managed is changing dramatically. Robots and smart machines are revolutionizing factory and warehouse operations, automating routine tasks in making, storing, and moving products.
Four key components form the foundation of modern supply chain information technology: cloud computing (on-demand computing resources), data transmission protocols (EDI and XML), databases with business analytics, and application systems. These components work together to enable flexible, responsive supply chains.
Cloud computing combines technologies like the Internet, web browsers, server virtualization, and open source software to deliver on-demand computing resources anywhere in the world. It offers practically unlimited computing resources available on demand, no long-term commitments, and a pay-as-you-go cost structure that converts IT from fixed to variable costs.
Supply chain application systems combine processing logic with data management technology to support specific business operations. These include enterprise resource planning (ERP) systems, procurement systems, advanced planning and scheduling systems, transportation planning systems, demand forecasting tools, customer relationship management (CRM) systems, and specialized applications for inventory management, manufacturing execution, and transportation scheduling.
Emerging technologies are further revolutionizing supply chains. Industrial robots have evolved from 1960s origins to become sophisticated and affordable for companies of all sizes. Drones and driverless vehicles can transport products throughout the supply chain. Artificial intelligence can identify patterns in massive datasets, understand human speech, generate reports, and recommend actions. The Internet of Things involves interconnected computing devices embedded in everyday objects that send and receive data. 3D printing creates three-dimensional objects by forming layers of material under computer control, enabling on-demand manufacturing. Simulation modeling creates digital prototypes of physical systems to predict real-world performance.
The true potential of these technologies emerges when they're used in combination. Industrial robots with additive manufacturing create highly flexible factories; driverless vehicles and robots enable automated warehouses; and IoT technology provides real-time product data for responsive production. Companies like Amazon are delivering new levels of supply chain performance that are changing how entire industries operate.
Chapter 6
Measuring Performance: The Metrics That Matter
Supply chains continuously adjust to changes in supply and demand, requiring daily monitoring and control to achieve desired performance. Four key performance categories help measure supply chain effectiveness: customer service (meeting customer expectations), internal efficiency (generating appropriate profitability), demand flexibility (responding to demand uncertainty), and product development (evolving with markets). Each category requires specific metrics and approaches to measurement.
Different market types require different performance characteristics from their supply chains. Markets can be classified into four quadrants based on supply and demand dynamics: developing markets (low supply/demand, requiring focus on basic reliability), growth markets (demand exceeds supply, emphasizing scalability), steady markets (high, stable supply/demand, focusing on efficiency), and mature markets (supply exceeds demand with unpredictable demand, requiring agility). Each market type demands distinct performance priorities and metrics.
Customer service metrics vary significantly based on whether a company operates in a build-to-stock (BTS) or build-to-order (BTO) environment. BTS metrics include order fill rates (targeting 98%+ for best-in-class), on-time delivery (measured against promised dates), back order statistics (both volume and duration), and return rates (indicating product quality and order accuracy). BTO metrics focus on quoted response times (from inquiry to quote), on-time completion rates (versus committed dates), late order statistics (frequency and magnitude of delays), and warranty returns (indicating product quality and installation success).
Internal efficiency measures how profitably a company uses its assets within the supply chain. Key metrics include inventory value (raw materials, work-in-process, finished goods), inventory turns (typically 6-12 times annually in manufacturing), return on sales (measuring profitability), and cash-to-cash cycle time (typically 30-45 days in efficient operations). These metrics focus on maximizing asset utilization while maintaining customer service levels, with best-in-class companies often achieving 20% higher asset utilization than industry averages.
Demand flexibility measures a company's ability to respond quickly to changing product quantities and ranges. Key metrics include activity cycle time (how long it takes to perform supply chain activities, from order to delivery), upside flexibility (ability to handle unexpected increases in order volume, typically 20-30% above forecast), and outside flexibility (how quickly a company can provide products outside its normal offerings, measured in days or weeks). Leading companies can often flex production by 50% within 30 days.
Product development metrics measure a supply chain's ability to design, build and deliver new products as markets evolve. Key metrics include percentage of products and sales from new introductions (targeting 15-25% for innovative industries), new product development cycle time (from concept to market), success rates of new launches, and time to volume production. Best-in-class companies typically achieve 30-50% faster development cycles than industry averages.
In today's fast-paced business environments, companies need sophisticated business intelligence systems that present data at three levels: strategic data for top management to decide what to do (quarterly trends and forecasts), operational data for middle management to determine how to do it (weekly performance metrics), and tactical data to help people actually execute (daily activities and alerts). These personalized dashboards display key metrics relevant to each person's responsibilities, immediately highlighting areas needing attention through color-coding and exception reporting. Modern systems often include predictive analytics to forecast potential issues before they occur.
Chapter 7
Coordination and Risk Management: Taming the Bullwhip Effect
The bullwhip effect is a common supply chain phenomenon where small changes in consumer demand create progressively larger demand swings for companies further upstream. This distortion leads to supply chain coordination breakdown, causing first product shortages then excess supply. On a larger scale, this creates boom-to-bust cycles in industries, as seen dramatically in the semiconductor industry where minor fluctuations in consumer electronics demand can trigger massive swings in chip manufacturing capacity.
Five major factors cause the bullwhip effect: demand forecasting (becoming increasingly inaccurate as it moves up the supply chain), order batching (placing periodic orders in economic order quantities), product rationing (allocating limited supply based on orders received), product pricing (special sales and discounts that induce customers to buy more than needed), and performance incentives (companies and individuals optimizing their positions in isolation). For example, retailers might order extra inventory during a promotion, creating artificial demand spikes that amplify through distributors and manufacturers.
Counteracting these factors requires multiple coordinated strategies. Sharing point-of-sales data throughout the supply chain provides real-time visibility into actual consumer demand. Electronic ordering systems, like EDI and automated replenishment programs, reduce order batching by enabling smaller, more frequent orders. Product rationing based on historical consumption patterns, rather than current orders, prevents panic ordering. Everyday low pricing strategies, popularized by Walmart, help stabilize demand by eliminating the peaks and valleys created by promotional pricing. Performance metrics must be aligned across the supply chain, focusing on total system efficiency rather than local optimization.
The Global Data Synchronization Network (GDSN) represents a major advancement in supply chain coordination. This network enables timely distribution of verified product information between databases, serving as a single source of truth for product data. Beyond eliminating massive cross-reference tables, it reduces ordering and billing errors by up to 40%, saves processing time, prevents delivery delays, improves cash flow through accurate invoicing, and simplifies order tracking through standardized identification codes. Major retailers like Target and Kroger require suppliers to participate in GDSN.
Sales and operations planning (S&OP) serves as a crucial process for balancing demand and supply by focusing on aggregate volumes. This cross-functional process occurs monthly, involving sales, operations, finance, and executive leadership. The five-step S&OP cycle includes demand planning, supply planning, pre-meeting preparation, executive S&OP meeting, and implementation. It links strategic plans to detailed operational processes while providing a forum for resolving conflicts between different organizational objectives.
Supply chain risk management has become increasingly critical in today's volatile business environment. While lean practices like eliminating facility duplication, reducing supplier bases, and minimizing inventory levels create cost-efficient supply chains, they also increase vulnerability to disruptions. Companies must carefully evaluate trade-offs between efficiency and resilience. Strategies for building resilience include maintaining safety stocks of critical components, qualifying backup suppliers, developing contingency transportation routes, and investing in supply chain visibility tools. The COVID-19 pandemic highlighted how supply chains optimized purely for efficiency can fail catastrophically when faced with major disruptions.
Chapter 8
The Future: Resilient and Sustainable Supply Chains
The Internet has created an "always-on" global communications network that has fundamentally changed business connectivity. Companies have transitioned from being periodically connected to permanently online, enabling unprecedented data sharing and coordination. This shift parallels the historical impact of the steam engine, which wasn't significant merely as a technology but for what it enabled people to accomplish.
The self-adjusting feedback loop offers powerful efficiency for supply chains. Like a car's cruise control that continuously monitors and adjusts speed to maintain the desired setting, feedback systems constantly compare current states with goals and take corrective actions to minimize differences. Companies and entire supply chains can adopt this approach, making constant adjustments to operations in response to real-time events while steering toward performance targets.
Successful supply chain management requires four conditions: clear rules and scoring, position choice with appropriate training, real-time visibility of results, and personal stakes in outcomes. The Internet provides the means for everyone to track performance, while profits and growth provide motivation for success.
As supply chain management evolves into a game between motivated companies and people pursuing performance targets, we'll witness emergent behavior where good players seek each other out to create better supply chains and generate higher profits. Supply chains will form like sports teams competing for market share, with tactics and techniques evolving over time.
Recognizing and responding effectively to supply chain developments can lengthen periods of market growth and stability. Any industry experiencing boom-to-bust cycles presents an opportunity to apply self-adjusting feedback loops to smooth economic fluctuations. Adaptive supply chain networks using real-time information and self-adjusting feedback can dampen excessive market swings and guide sustainable growth.
The always-on Internet connection allows us to see supply chains as continuous moving pictures rather than periodic snapshots, enabling constant operational adjustments for significant new efficiencies. This self-adjusting feedback loop works through motivated people who receive real-time information showing their progress toward performance targets. People naturally steer toward these targets, creating supply chains that are both highly responsive and efficient. While efficiency thrives on stability and predictability, resilient and sustainable supply chains must prioritize environmental awareness and responsive capability, continuously adjusting operations as circumstances evolve.
Chapter 9
Turning Supply Chains into Competitive Weapons
Companies can leverage well-designed supply chains as competitive advantages that create lasting market differentiation. A properly managed supply chain enables both high customer service levels and lower inventories and costs than competitors. Supply chains that deliver superior value generate strong demand for their products and services, making them profitable environments for all participants. For example, companies like Amazon and Zara have demonstrated how superior supply chain capabilities can create sustainable competitive advantages through faster delivery times, better inventory management, and more responsive customer service.
The most effective approach to supply chain improvement involves incremental steps starting with repurposing existing equipment rather than risky "big-bang" transitions. This sequential approach allows for learning, adaptation, and higher probability of success while managing risk and achieving better returns on investment. Companies like Toyota have successfully implemented this approach through their Kaizen philosophy of continuous improvement, making small but significant changes that compound over time. This might involve first optimizing warehouse layouts, then upgrading inventory management systems, and finally implementing advanced automation technologies.
As competition increasingly occurs between supply chains rather than individual companies, strategic alliances become crucial for competitive advantage. These alliances enable companies to outsource non-core activities while focusing investments on their core value proposition. True strategic alliances share four essential characteristics: delivery of customized product and service blends, coordination of intercompany operations to achieve defined performance targets, longer-term contracts spanning three to five years, and prospects for mutually profitable growth. Successful examples include the partnership between Procter & Gamble and Walmart, which revolutionized inventory management through data sharing and collaborative planning.
The future belongs to companies that can create adaptive, resilient supply chains that continuously learn and improve. This requires investment in digital technologies like AI and blockchain to enhance visibility and decision-making. By combining human creativity with powerful technology, sharing data in real-time, and aligning incentives across all participants, supply chains will become not just more efficient but also more sustainable and responsive to our rapidly changing world. Leading companies are already implementing digital twins of their supply chains, using predictive analytics to anticipate disruptions, and developing circular supply chain models that minimize waste and environmental impact.
Success in modern supply chain management requires balancing multiple priorities: cost efficiency, service levels, sustainability, and resilience. Companies must develop capabilities in risk management, relationship building, and technology integration while maintaining flexibility to adapt to changing market conditions. Organizations like Unilever and Nike are setting new standards by integrating environmental and social responsibility into their supply chain strategies while maintaining competitive advantages through operational excellence.
