Basics of Lean Management

Explore the five lean management principles: define value, the value stream, create flow, establish pull, and pursue perfection.

Define value by identifying what the customer is willing to pay and their real needs, then use interviews and market research to set an optimal price.

Identify and map the value stream using customer value as a reference, then eliminate non-value-added waste to streamline activities, reduce time, and lower production costs while maximizing value.

Create flow by eliminating waste from the value stream and ensuring smooth production. Use strategies such as reconfiguring steps, leveling workload, and cross-functional teams to maximize value and reduce cost.

Learn how to implement a pull-based system to reduce inventory and work-in-progress, enabling just-in-time delivery and manufacturing in the exact quantities required.

Pursue perfection by embedding continuous improvement throughout the organization, with every employee delivering value aligned to customer needs and continually seeking better ways to work.

Explore lean's four interrelated concepts and move toward optimum flow, driving smooth, swift progress across manufacturing processes, while recognizing that achieving process smoothness takes time.

Restock only when needed and order when customers demand, minimizing overproduction and waste while keeping to a minimum.

Explore the seven wastes of lean, highlighting overproduction, unnecessary transportation, excessive inventory, and excessive motion, and clarify the difference between transportation and motion.

Apply clean lean tools such as just in time, bottleneck analysis, and value stream mapping to improve quality control. Visualize workflows with a flowchart to identify and address process issues.

Explore overall equipment effectiveness to analyze performance, availability, and quality standards for lean process improvement, then apply error proofing to prevent errors before processes begin, reducing human and machinery defects.

Commit to lean by securing management support and resources, then apply gradual, continuous improvement steps using lean tools; sustain the effort with ongoing leadership and process refinement.

Invest in employee training to successfully implement lean and sustain a lean culture. Provide continuous training, coaching, and clear guidance on lean tools, techniques, and fleet management.

Identify waste by analyzing the value stream map, which shows how materials, bytes, and process flow connect departments and customers, revealing inefficient actions and teams.

Bring the team together to brainstorm likely causes, identify the root cause of the issue, and work to reduce or eliminate waste from the process.

Take action by turning root causes into an action plan that accounts for the rest of the process. Document changes and add new processes to reduce waste.

Implement lean to improve quality of processes, reduce defects and costs, identify and eliminate waste, streamline flow, shorten lead times, and boost employee morale through continuous improvement and upskilling.

Explore eight key elements of total quality management, including ethics, integrity, training, teamwork, leadership, recognition, honesty, openness, and communication, and see how trust underpins product quality.

Apply Scrum to agile product development with tight deadlines to accelerate technical projects and align development speed with Six Sigma practices.

Analysts analyze data and business and technical requirements to conceive a feature concept, then teams execute programming sprints with reviews, deployment, quality assurance, and testing.

Explore what Six Sigma means as a statistical representation of process performance, revealing 3.4 million opportunities and 99.999666 percent accuracy to minimize errors across sigma levels.

Apply Six Sigma even when the problem is unknown. Use the Six Sigma process to identify the issue and solve it, even if the problem is widespread.

Learn when to apply Six Sigma within lean management, tackling complex processes with data-driven analysis and process control, using graphical representations to test hypotheses, premises, and conclusions.

learn when to apply Six Sigma in high-stakes projects, such as court settlements, to control costs with statistical process control and make more accurate assumptions.