Analyze Current Scheduling Methods – Evaluate the existing scheduling process, tools, and constraints within the production system.
Identify Inefficiencies – Recognize major bottlenecks, resource allocation issues, and delays.
Develop an Optimized Scheduling Model – Propose and implement a scheduling framework using techniques like Lean principles, Six Sigma, or AI-based scheduling tools.
Measure Impact – Compare key performance indicators such as production cycle time, machine utilization rate, and on-time order fulfillment before and after implementing the improved schedule.
Provide Actionable Recommendations – Suggest a scalable and cost-effective scheduling strategy that can be adopted by the company for long-term improvements.
Conduct literature review on scheduling techniques.
Analyze existing production workflow & scheduling methods.
Collect data on cycle times, resource utilization, and delays.
Map current production processes & identify bottlenecks.
Perform root cause analysis using tools like 5 Whys, etc.
Analyze data to quantify inefficiencies.
Compare scheduling models (Lean, AI-based, Heuristic).
Design an improved scheduling framework.
Simulate/test the proposed model.
4: Implementation & Evaluation Implement the new scheduling method (pilot test if possible).
Measure KPIs (cycle time, machine utilization, order completion).
Adjust based on feedback.
Prepare final report with findings and recommendations.
Develop & present project outcomes
