Lean Manufacturing A-Z: Operations Management & Six Sigma

Define value from the customer's perspective and map processes. Apply the Kano model, learn the eight wastes, and classify tasks as value adding, non-value adding, or necessary non-value adding.

Apply the Kano model to categorize features into delight, performance, and basic attributes, and use order winners and qualifiers to maximize customer value.

Collaborate with the team to map the system using flowcharts and value stream mapping, classifying steps as value adding, non-value adding, or necessary non-value adding.

Analyze timeline to visualize value adding, non value adding, and necessary non value adding tasks; record how people spend time with a lean coordinator to reduce lead and cycle times.

Analyze the tea shop process map to classify steps as value adding, non-value adding, or necessary non-value adding, and identify waste for faster service and improved tea quality.

Learn to map value in tea shop processes by distinguishing value-added and necessary non-value adding activities, observing multiple line studies, and prioritizing improvements that maximize customer value and cost savings.

Explore the 8 wastes of lean: transportation, inventory, motion, waiting, over processing, overproduction, defects, and skills. Learn to observe at the gemba to uncover improvement opportunities and reduce waste.

Explore additional types of waste beyond the 8 wastes, including making the wrong products, excessive information, wasted time, inappropriate systems, and wasted utilities, to minimize muda.

Chasing waste in lean manufacturing teaches that evaluating and prioritizing improvements by value creation, cost, effort, and system-wide flow is essential for feasible lean gains.

Discover how inventory, one of Tim Woods' eight wastes, signals other waste and incurs costs, while explaining what inventory is and why we need it.

Identify inventory as the stock that supports production across the supply chain, from raw materials to finished goods and service goods, including WIP, MRO, and spare parts.

Explore why inventory is necessary yet costly, and how Little's Law links work in progress to throughput and lead time, while protecting against uncertainty and enabling production smoothing.

Apply Little's Law to compute minimum work in progress from throughput and lead time, using L = λW with L as inventory, λ as throughput, and W as throughput time.

Assess how inventory ties up cash and incurs costs from buying, possessing, and handling. Identify opportunity cost, cost of capital, obsolescence, deterioration, insurance, and other overhead, usually 20–30% of value.

Use the rock-boat analogy to show how reducing inventory exposes defects, scheduling gaps, and supply issues, and to address underlying problems.

Explore lean manufacturing tools such as 5S, PDCA, visual management, Gemba, and A3, introduced to tackle common improvement and efficiency challenges on the journey.

Lean manufacturing 5S helps teams improve quality and reduce variation by sorting, organizing, shining, standardizing, and sustaining workplace practices; implement red tags, shadow boards, and regular audits to maintain order.

Learn SMED to reduce changeover and cycle times by mapping the process, removing unnecessary steps, converting internal to external steps, and performing steps in parallel, then repeating for improvement.

Map the SMED changeover on a Gantt chart, remove unnecessary steps, convert internal steps to external, run steps in parallel, speed remaining tasks, and repeat to establish a new baseline.

Develop value stream maps that document material and information flows from current to future state, using standardized symbols to reveal cycle times, lead times, and value-adding versus non-value-adding steps.

Visual management displays schedules, standard work, performance data, and quality maintenance plans on boards or screens, enabling real-time decisions and lean visibility across the operation.

Visit the Gemba, the place where value is created, to observe the process and collect facts; use Gemba boards for visual management to display performance data on the shop floor.

learn structured gemba walks to connect with operations on the shop floor, lab, or office; use seven steps—theme, team, process focus, observe, record, follow-up—to drive improvements.

Standard work underpins the Toyota production system, documenting repeatable, reliable processes that anchor improvements. Empower operators to create standard operating procedures and sustain them through supervision and bottom-up continuous improvement.

Master the PDCA improvement cycle: plan, do, check, and act or adjust, to test and refine lean process improvements, standardize solutions with SOPs, and sustain ongoing optimization.

Adopt A3 reports to standardize problem solving with a concise, PDCA-friendly format on a single A3 sheet, enabling visual management and shared learning across lean processes and standard work.

Maximize customer value while minimizing waste through quality. Explore Kaizen and three quality aims, reducing complexity, mistakes, and variation, along with 5 Whys, Poka-Yoke, and TPM.

Explore how lean tools like 5S, standard work, poka-yoke, and self inspection and successive inspection reduce mistakes, foster quality ownership, and enable early problem stopping through jidoka.

Reduce variation in lean manufacturing and services by monitoring key process parameters with SPC charts and driving continuous, in-control quality improvement through 5S, standard work, and TPM.

Examine why root causes vary by problem owner and apply the five whys (five wise men) technique to identify the deepest, most actionable fixes in lean manufacturing.

Learn how jidoka, or autonomation, stops the process automatically at irregularities to prevent waste and rework and to solve problems immediately.

Poka-yoke, a Japanese concept, designs processes and products to prevent errors. It uses warnings and controls, with examples like usb plugs, atm beeps, and correctly sized scoops to ensure mistake-proofing.

Learn to reduce breakdowns and improve machine availability through total productive maintenance, emphasizing prevention, lifecycle planning, operator involvement, and adapting maintenance to life cycle stages within the lean value stream.

Apply flow to keep materials and information moving with a steady, predictable cadence from order to delivery, reducing variation, batch sizes, and inventory for faster lead times toward one-piece flow.

Identify factors that stop flow in lean manufacturing, including variation (Mura), batch and queue behavior, overburden (Muri), quality and rework, and delays from lack of empowerment and standardized decision making.

Identify how variation in demand, capacity, and process disrupts flow, and learn to reduce and prevent it to avoid Mura, Muri, and Muda in lean systems.

Identify the causes of demand and capacity variation, including seasonality, fashion trends, promotions, competitor issues, and random events, and address process variation, breakdowns, labor and scheduling, and weather impacts.

Improve supply chain predictability by mastering demand management and demand smoothing, balancing external and internal signals to optimize capacity planning, resource use, and inventory in lean operations.

Influence external demand by reducing promotions, smoothing price variation, promoting smaller, frequent deliveries, sharing information, and pursuing vendor-managed inventory and collaborative forecasting to curb bullwhip and align with end customers.

Reduce internal mistakes and lead times, enable one-piece flow and just-in-time delivery, reduce setup times, resist overproduction, and favor build-to-order or late customization to minimize variability.

Explore takt time, cycle time, processing time, throughput time, and lead time within lean manufacturing. Understand how customer lead time extends from order to delivery.

Learn how takt time defines the available time per unit by dividing total available working time by customer demand, with a six-minute target example.

Cycle time measures the time to complete a specific operation, and total processing time is the sum of cycle times across all steps.

Explore how throughput time combines processing and waiting times, and how lead time, especially customer lead time, reflects the total wait from order placement to delivery.

Define takt time as allowable time per unit, cycle time as processing time, throughput time as total time in the system, and lead time as time from order to receipt.

Small batch sizes speed flow and lead times, reduce work in progress and inventory costs, improve cash flow, and help detect quality issues faster, delivering customer orders sooner.

The lecture shows how batch sizes affect work in progress and throughput across three stations, revealing how smaller transfer and process batches enable lean one-piece flow and shorter lead times.

Demonstrate that local efficiencies in individual processes can create a terribly inefficient system, and promote one-piece flow, minimum lead times, and standardized process flows to optimize overall operations.

Scheduling sits at the heart of lean, shaping lead times, delivery, cost, and quality. Learn pull systems with kanban and lean batch decisions, including the every product, every interval method.

Coordinate lean scheduling across the whole factory and inter-process links to boost performance. Learn how scheduling and planning drive system-wide improvements beyond 5S, maps, and waste lists.

Choose batch sizes that sustain lean flow by balancing changeovers, labor, and machine capacity, enabling small batches for smooth workloads, low inventory, fast lead times, and early quality problem detection.

Evaluate why the economic batch quantity and economic order quantity (EBQ/EOQ) misstate demand and takt time, promoting big batches; learn a leaner approach to inventory and batch sizing.

The every product every interval principle (EPEI) minimizes batch sizes and lead times by maximizing changeovers within available time, balancing demand and inventory in lean manufacturing.

Pull triggers upstream production based on downstream demand, using signals like Kanban cards or empty spaces in a buffer rack, reducing forecast uncertainty and overproduction.

Compare push and pull strategies through two cake shops: one forecasts and builds to stock, the other uses actual demand to bake to order, reducing waste and stock.

Learn how a restaurant uses a pull system to trigger cooking based on customer demand, using a FIFO rack to minimize inventory and keep burgers fresh.

Kanban drives pull production by signaling upstream to downstream consumption with cards and visual management, while limiting work in progress through two-bin, three-bin, drum buffer rope, and CONWIP systems.

Compare push and pull approaches, showing how pull uses kanban and make-to-order to react to actual demand, while push relies on forecast schedules, MRP, and make-to-stock.

Explore pull benefits like lower inventory, lower costs, lower risk of obsolescent stock, and higher flexibility for simple routings, plus the risk of longer lead times with complex processes.

Combine push and pull to balance forecasted production with customer orders, using long-term material orders and subassemblies while triggering completion on confirmed orders to shorten lead times and improve profitability.

Explore the essentials of lean history and its practical benefits for driving improvements. Build credibility when educating colleagues and navigating lean conversations.

Trace the timeline of process improvements from naval standard ops to the rise of lean, highlighting just-in-time, the moving assembly line, the Toyota production system, and SMED.

Organize manufacturing and logistics through the Toyota production system, an integrated socio technical system with supplier and customer interactions, and position the system as the major precursor to lean manufacturing.

Explore Six Sigma's data driven, statistical analysis focused quality improvement aimed at minimizing defects and process variation, with its own tools and strict methodology.

Explore six sigma as a statistical approach to reduce variation and defects toward a six sigma capability and 3.4 defects per million opportunities.

Explore the principles of Six Sigma, including determinism, reducing variation, measurement, focus and leverage, and customer value, to control inputs, processes, and outputs for consistent, data-driven results.

Explore the origins of Six Sigma, tracing its 1980s development at Motorola and its global adoption as a quality improvement framework, including Lean Six Sigma variations.

Explore the Six Sigma belt system from white to master black, plus champions and executives, detailing training levels, project leadership, data analysis, and organizational alignment.

Apply the dmaic framework: define, measure, analyze, improve, and control, as a standardized six sigma method for problem solving, process improvement, and comparison with pdca.

Explore the Dmaic improvement framework through a donut factory story, define the cream standard, measure outputs and inputs, analyze root causes, improve processes, and control performance.

Explore popular analytical tools used in Six Sigma to analyze data, while prioritizing thoughtful hypothesis design, data needs, and effective presentation for identifying root causes and actionable insights.

Explore how Six Sigma uses process mapping with Visio and a core Excel-based toolkit for data analysis, plus specialized packages like Minitab, JMP, Chronos, Statistica, Hertzler, and Sigma Flow.

Explore data visualization methods to reveal insights, comparing scatter diagrams, histograms, box plots, and process behavior charts to communicate trends, correlation, and control in Six Sigma contexts.

Compare lean and six sigma, highlight their differences and when to use each, and show how they can complement one another, starting with lean if a robust framework is missing.

Lean focuses on value streams, flow, pull, and waste reduction, while Six Sigma targets specific processes with data-driven, prescriptive improvement using Dmaic.

Six Sigma applies a data-driven, DMAIC methodology to minimize defects and variation in a targeted process, using statistical analysis and visualization to improve quality, reduce costs, and increase customer value.