About the Course
Organizations do not buy production planning and scheduling training because they want theory. They buy it because they need plans they can defend in front of operations, procurement, sales, and leadership, using measurable control points such as MPS stability, schedule adherence, capacity loading, finite-capacity planning, and on-time delivery. In this field, credibility depends on your ability to work with tools and frameworks like the Master Production Schedule, Material Requirements Planning, Theory of Constraints, and ERP planning parameters while keeping production sequences realistic enough for the shop floor to execute. This course directly addresses that operational gap.
The course turns fragmented planning knowledge into a structured system you can apply to real manufacturing decisions. You will practice building demand and supply inputs, interpreting capacity constraints, applying finite scheduling logic, creating sequence plans, and using exception reports to manage instability. You will also be introduced to AI-assisted demand forecasting, automated planning dashboards, and digital shop-floor visibility tools at an operational level so you can understand where they fit without overclaiming implementation depth. What you will learn: you will use MPS, MRP, finite-capacity scheduling, and KPI tracking to produce executable schedules, capacity plans, and recovery actions. You will practice the core methods hands-on and be introduced to more advanced optimization and automation concepts where they matter most.
The course is built for real-world constraints such as volatile orders, limited machine availability, maintenance windows, material shortages, and competing priorities between sales commitments and production efficiency. That is why the learning design focuses on practical decisions, not abstract models. This course teaches production planning and scheduling through realistic planning artefacts so you can improve schedule reliability, reduce expediting, and communicate clearer production commitments under pressure.
Target Audience
This course is designed for professionals who already work with production data, capacity constraints, and shop-floor priorities and now need stronger planning discipline.
- Production Planners managing MPS stability and order releases
- Master Schedulers balancing finite capacity and due-date priorities
- Operations Managers coordinating production flow and schedule adherence
- Supply Chain Planners aligning material availability with manufacturing plans
- Manufacturing Engineers improving routings, changeovers, and line balance
- Production Control Analysts tracking exceptions, shortages, and schedule variance
- Materials Managers reducing shortages through better planning parameters
- ERP Planning Specialists maintaining master data and planning settings
- Continuous Improvement Managers targeting throughput and lead-time reduction
- Plant Managers reporting production reliability to senior leadership
Course Objectives
This course equips you to plan, execute, and measure production planning and scheduling initiatives that improve delivery reliability, reduce planning noise, and strengthen operational control.
- Assess current planning stability using the Master Production Schedule, MRP parameters, and schedule adherence data.
- Apply finite-capacity scheduling logic to resolve sequencing conflicts, bottlenecks, and changeover constraints.
- Build a realistic capacity load profile using routings, work centers, and available hours data.
- Construct an executable production schedule with priority rules, lead times, and material availability checks.
- Evaluate planning accuracy against KPI benchmarks such as MPS stability, OEE, and on-time delivery.
- Navigate cross-functional requirements across sales, procurement, maintenance, and production control.
- Implement digital planning workflows using ERP reports and Power BI-style exception dashboards.
- Synthesize findings into a schedule recovery plan and management-ready production planning report.
Requirements & Prerequisites
To get the most from this advanced production planning and scheduling course, you should already have working knowledge of manufacturing operations, basic inventory concepts, and production data such as lead times, routings, and bill of materials. Familiarity with ERP or planning systems such as SAP S/4HANA, Oracle Fusion Cloud SCM, Microsoft Excel, or Microsoft Power BI is beneficial. No coding is required, but you should be comfortable reading production reports, interpreting capacity data, and working with planning templates.
Local Application and Business Return in Germany
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn production planning and scheduling aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on calculation using MPS, net requirements, and lead-time offset sheets.
- Scenario simulation for machine breakdowns, rush orders, and material shortages.
- Assessment using a finite-capacity planning checklist and schedule health review.
- Stakeholder mapping of production, procurement, sales, and maintenance approval flows.
- Case study analysis from discrete manufacturing, process manufacturing, automotive, and FMCG operations.
- Workshop to build a capacity load plan and recovery schedule under time pressure.
- Reflection on current planning practices using MPS variance, OTIF, and schedule adherence evidence.
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Production Planning and Scheduling Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Effective Learning & Skill Development
- Build expertise with structured, outcome-driven learning.
- Equip individuals and teams with skills that grow with industry needs.
- Reinforce learning through real-world scenarios, case studies and practical exercises.
Career Growth & Professional Advancement
- Apply what you learn with a proven methodology that ensures lasting impact.
- Develop immediately usable skills that translate directly into workplace success.
- Gain the expertise needed for career advancement and leadership roles.
Training Optimization & Learning Excellence
- Tailor training to industry-specific challenges and organizational goals.
- Use data-driven insights and automation to enhance training effectiveness.
- Evaluate progress and ensure long-term learning success.
Tools and platforms relevant to this field
Examples Germany teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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SAP S/4HANA SAPUsed to manage production planning, material requirements, and execution data in integrated manufacturing environments.
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SAP Integrated Business Planning SAPUsed for demand and supply planning where teams need to align forecasts, inventory, and constrained supply decisions.
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Siemens Opcenter APS SiemensUsed for finite-capacity scheduling and production sequencing when planners need a more detailed shop-floor-oriented schedule.
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Microsoft Power BI MicrosoftUsed to monitor planning KPIs such as schedule adherence, capacity load, and backlog performance in dashboard form.
