In my previous role, I noticed the inventory replenishment process was causing delays. I conducted a thorough analysis to identify bottlenecks and implemented a just-in-time inventory system, which reduced waste by 20% and improved delivery times by 15%. My approach always involves data analysis, stakeholder consultation, and pilot testing before full-scale implementation to ensure the proposed changes are viable and beneficial.

I prioritize based on impact and feasibility, focusing on areas with the highest potential for cost savings or efficiency gains relative to the effort required. I use a scoring system that considers factors like ROI, alignment with business goals, and stakeholder input. This method ensures that even with limited resources, we tackle projects that offer the most significant benefits first, ensuring optimal use of time and budget.

I leverage a mix of Lean, Six Sigma, and Agile methodologies, depending on the project's needs. Tools like value stream mapping, root cause analysis, and PDCA cycles are staples in my optimization toolkit. I also utilize software like Minitab for statistical analysis and Trello or Asana for project management, ensuring a data-driven and organized approach to optimization projects.

Success is measured through predefined KPIs aligned with the project's objectives, such as reduced cycle times, cost savings, or increased productivity. I establish baseline metrics before implementation and monitor progress post-implementation to quantify improvements. Additionally, feedback from stakeholders and team members is crucial to assess qualitative benefits like improved morale or customer satisfaction.

Once, a workflow automation I implemented led to unexpected bottlenecks. Recognizing this, I quickly convened the team to analyze the issue, discovering that the automation was too rigid for certain scenarios. We adapted by introducing flexible exceptions and additional training, which resolved the bottlenecks. This experience taught me the importance of flexibility and continuous monitoring in optimization projects.