
Operations Management: Organization and Analysis Course
Master the full spectrum of operations management — from process design and demand forecasting to supply chain strategy and continuous improvement. This course equips you with the analytical frameworks and practical tools that drive efficiency, quality, and competitive advantage across any industry.
What you will learn:
Map cross-functional operational processes and pinpoint structural inefficiencies using proven techniques.
Build aggregate production plans, master schedules, and MRP solutions from real demand data.
Apply statistical process control and Six Sigma tools to design robust quality management systems.
Evaluate supply chain configurations for strategic fit, resilience, and measurable performance outcomes.
Integrate lean thinking, kaizen events, and KPI dashboards to sustain continuous operational improvement.
Analyze capital investments and operational costs to build credible, data-driven business cases.
How you study in practice Operations Management: Organization and Analysis Course
How you practice Operations Management: Organization and Analysis Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course Content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Operations Management
Foundations of Operations Management
Lesson 1 • Key Performance Dimensions
Introduces cost, quality, speed, flexibility, and dependability as competitive priorities. Students evaluate trade-offs among these dimensions.
Lesson 2 • Defining Operations Management
Covers the definition, boundaries, and historical evolution of operations management. Anchors all subsequent chapters in a shared conceptual framework.
Lesson 3 • The Operations Function in Organizations
Examines how operations interacts with finance, marketing, and HR. Students map cross-functional dependencies within real organizational structures.
Lesson 4 • Operations Strategy Basics
Links operational decisions to business strategy using top-down and bottom-up models. Students draft a basic operations strategy statement.
Chapter 2HideHide detailsSee detailsProcess Design and Mapping
Process Design and Mapping
Lesson 1 • Process Mapping Techniques
Teaches flowcharting, swimlane diagrams, and value stream mapping. Students create accurate process maps for a chosen operational scenario.
Lesson 2 • Process Types and Structures
Distinguishes project, jobbing, batch, mass, and continuous process types. Students match process type to volume-variety combinations.
Lesson 3 • Process Improvement Fundamentals
Applies gap analysis and root-cause thinking to process maps. Students propose targeted improvements grounded in process data.
Lesson 4 • Capacity and Throughput Analysis
Introduces capacity, throughput rate, and bottleneck identification. Students calculate effective capacity and locate process constraints.
Lesson 5 • Process Layout and Flow
Covers fixed-position, functional, cell, and product layouts. Students evaluate layout options against process type and flow requirements.
Chapter 3HideHide detailsSee detailsDemand Forecasting and Planning
Demand Forecasting and Planning
Lesson 1 • Quantitative Forecasting Methods
Covers moving averages, exponential smoothing, and trend-adjusted models. Students compute forecasts and compare method accuracy.
Lesson 2 • Demand Planning Integration
Connects forecasts to aggregate planning, inventory, and capacity decisions. Students build a demand plan that feeds downstream operational processes.
Lesson 3 • Forecasting Fundamentals
Defines demand forecasting, its role in planning, and common error sources. Students distinguish qualitative from quantitative forecasting approaches.
Lesson 4 • Forecast Accuracy Measurement
Introduces MAD, MSE, MAPE, and tracking signal metrics. Students evaluate and select models based on accuracy measurement results.
Chapter 4HideHide detailsSee detailsInventory Management and Control
Inventory Management and Control
Lesson 1 • Economic Order Quantity Models
Derives and applies the EOQ model and its extensions. Students solve EOQ problems with quantity discounts and non-instantaneous receipt.
Lesson 2 • Inventory Concepts and Costs
Defines inventory types, holding, ordering, and shortage costs. Students calculate total inventory cost for a given scenario.
Lesson 3 • Lean Inventory Principles
Introduces just-in-time logic, kanban signals, and waste reduction in inventory. Students contrast lean and traditional inventory approaches.
Lesson 4 • Safety Stock and Service Levels
Covers demand variability, lead-time uncertainty, and safety stock formulas. Students set safety stock levels to achieve target service levels.
Lesson 5 • Inventory Classification and Control
Applies ABC analysis and periodic vs. continuous review systems. Students design a control system matched to item classification.
Chapter 5HideHide detailsSee detailsProduction Planning and Scheduling
Production Planning and Scheduling
Lesson 1 • Material Requirements Planning
Introduces bill of materials, MRP logic, and planned order releases. Students run an MRP explosion for a multi-level product structure.
Lesson 2 • Constraint-Based Scheduling
Applies the Theory of Constraints to identify and exploit bottlenecks. Students redesign a schedule to maximize throughput at the constraint.
Lesson 3 • Job Sequencing and Scheduling Rules
Applies FCFS, SPT, EDD, and critical ratio rules to job shop scheduling. Students compare rules on makespan, lateness, and flow time.
Lesson 4 • Master Production Scheduling
Disaggregates the aggregate plan into item-level schedules. Students build a master production schedule and check available-to-promise quantities.
Lesson 5 • Aggregate Production Planning
Covers chase, level, and mixed strategies for medium-term planning. Students evaluate strategies using cost and workforce impact criteria.
Chapter 6HideHide detailsSee detailsQuality Management Systems
Quality Management Systems
Lesson 1 • Statistical Process Control
Covers control charts for variables and attributes to monitor process stability. Students construct X-bar, R, p, and c charts from sample data.
Lesson 2 • Quality Concepts and Philosophies
Defines quality dimensions and reviews Deming, Juran, and Crosby philosophies. Students compare philosophies and identify applicable principles.
Lesson 3 • Acceptance Sampling and Inspection
Introduces sampling plans, OC curves, and inspection decision logic. Students design an acceptance sampling plan for incoming materials.
Lesson 4 • Quality Management Frameworks
Examines ISO-based management systems, Six Sigma, and total quality management. Students map framework requirements to operational processes.
Lesson 5 • Quality Improvement Tools
Applies the seven basic quality tools to diagnose and resolve defects. Students complete a structured problem-solving exercise using these tools.
Chapter 7HideHide detailsSee detailsSupply Chain Design and Management
Supply Chain Design and Management
Lesson 1 • Supply Chain Performance Measurement
Applies SCOR model metrics and balanced scorecard to supply chain evaluation. Students select and interpret KPIs across supply chain dimensions.
Lesson 2 • Logistics and Distribution Networks
Analyzes transportation modes, warehousing, and distribution network design. Students evaluate network configurations for cost and service trade-offs.
Lesson 3 • Supplier Selection and Relationships
Covers supplier evaluation criteria, sourcing strategies, and partnership models. Students score and select suppliers using a weighted decision matrix.
Lesson 4 • Supply Chain Structure and Strategy
Maps supply chain tiers, flows, and strategic fit with market requirements. Students classify supply chains as efficient or responsive.
Lesson 5 • Supply Chain Risk and Resilience
Identifies supply chain vulnerabilities and mitigation strategies. Students build a risk register and resilience plan for a supply chain scenario.
Chapter 8HideHide detailsSee detailsOperational Excellence and Continuous Improvement
Operational Excellence and Continuous Improvement
Lesson 1 • Building a Continuous Improvement Culture
Examines leadership behaviors, employee engagement, and systems that sustain improvement. Students develop an improvement culture action plan.
Lesson 2 • Six Sigma Integration
Connects DMAIC phases to operational improvement projects. Students define a project charter and scope using Six Sigma tools.
Lesson 3 • Performance Measurement and KPIs
Designs KPI systems that drive improvement behavior and strategic alignment. Students build a KPI dashboard linked to operational goals.
Lesson 4 • Lean Thinking and Waste Elimination
Applies the eight wastes framework and lean principles to operational processes. Students conduct a waste walk and quantify identified waste.
Lesson 5 • Kaizen and Rapid Improvement Events
Structures kaizen events to achieve rapid, team-based process improvements. Students plan and simulate a kaizen event for a target process.
Your valid completion certificate
This course is for you:
Operations coordinator: ready to move into a management-level role.
Business administration student: building a specialization in operational strategy.
Supply chain analyst: seeking broader organizational and planning competencies.
Manufacturing supervisor: wanting structured frameworks behind daily shop-floor decisions.
Entrepreneur: needing to design efficient processes for a growing business.
Career changer: transitioning from finance or marketing into operations roles.
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