Operational Planning and Production Scheduling Using Management Modeling
Introduction :
This course focuses on developing effective planning skills and enhancing efficiency in organizing production operations. In Operational Planning and Production Scheduling with Managerial Modeling, you will learn how to use managerial modeling to improve production scheduling and set work priorities, with an emphasis on advanced operational planning techniques.
The course covers critical areas such as defining operational goals, resource allocation, and performance monitoring to ensure the efficient execution of production strategies. It also explores innovative methods for data analysis and supply chain optimization, contributing to higher productivity and cost reduction.
By the end of this course, you’ll gain the essential tools to tackle daily operational challenges, strengthen your process management capabilities, and strike the right balance between quality and cost in production.
Objectives :
- Understand the principles and goals of operational planning.
- Learn various models and tools for production scheduling.
- Apply mathematical and statistical modeling in decision-making.
- Analyze constraints and resource allocation effectively.
- Optimize supply chains and production flows.
- Integrate modeling in real operational environments.
Target Audience :
- Operations and production managers.
- Industrial planners and engineers.
- Project and supply chain managers.
- Process improvement and quality professionals.
- Experts in operations research and modeling tools.
Content Outlines :
Module One – Fundamentals of Operational Planning
- Concepts and roles of operational planning.
- Types of operational plans and their strategic alignment.
- Planning cycle from input to outcome.
- Factors for effective planning.
- Measuring operational efficiency.
- Practical models in operational planning.
Module Two – Principles of Production Scheduling
- Introduction to production scheduling.
- Main vs. detailed scheduling approaches.
- Gantt, PERT, and CPM techniques.
- Capacity vs. demand planning.
- Managing variability and uncertainty.
- Software tools for scheduling.
Module Three – Mathematical and Management Modeling
- Modeling for decision support.
- Linear and goal programming.
- Transportation and assignment models.
- Simulation of production operations.
- Scenario and sensitivity analysis.
- Excel and Power BI for modeling.
Module Four – Optimization and Constraint Analysis
- Theory of Constraints TOC .
- Maximizing efficiency with limited resources.
- Identifying and managing bottlenecks.
- Cost-benefit analysis techniques.
- Examples from Lean and Kanban systems.
- Key performance indicators KPIs .
Module Five – Integrating Models into Real Operations
- Practical application of planning models.
- Gap analysis between planning and execution.
- Shifting from manual to digital planning.
- Building operational data frameworks.
- Cross-functional coordination and communication.
- Smart planning through digitization.